KR101852766B1 - Method and Apparatus for Searching Things for Sale - Google Patents

Abstract

A method, apparatus and method for generating a hashtag-based search are provided. A sought-after search system, comprising: displaying a digital map overlaid with an object indicating a sale, said sought-after search apparatus displaying a hash tag indicating the characteristics of said selected sale in response to a selection input for an object pointing to the sale The method according to claim 1, characterized in that the sought-after search apparatus receives a selection input for the hash tag and the sought-after search apparatus, in response to the selection input for the hashtag, And displaying an advertisement having the selected hashtag among the displayed advertisements. The method of generating the hashtag may include collecting information on a sale from a predetermined data source, extracting a candidate keyword from information on the sale, based on the frequency of the candidate keyword represented by the information on the sale, Determining a core keyword among the candidate keywords based on the importance score, and generating a hash tag of the sale based on the determined core keyword.

Description

FIELD OF THE INVENTION [0001]

The present invention relates to a property search method, a property search device, and a hash tag generation method for supporting the property search. More particularly, the present invention relates to a method, apparatus, and method for generating a hash tag (Hashtag) for supporting the search method, in a system for providing information on a sale such as an apartment or a vehicle, will be.

As network technology develops and the spread of mobile devices such as smartphones spread, services for providing real estate information on the online basis are increasing. For example, a smartphone app such as a real estate portal site and a counterpart or a coffee shop provides detailed information on a variety of real estate properties based on a digital map. Users can install related apps on a smart phone or use a web browser Real estate listing information service is available.

Most real estate information services currently provide detailed information on the characteristics of the properties such as the price of each property, the location of the property, the structure of the property (one room, two rooms, etc.), the type of transaction (charter, rent, and sale) A search interface based on a filter is provided for some features. However, since most real estate information services provide a filter-based search interface only for some features of the property, such as the location and price of the property, it provides a search function that takes into consideration the characteristics of various properties that may affect real estate transactions I can not do that. For example, educational facilities such as school districts, surrounding schools, and convenience stores such as department stores are important features that affect the sale of real estate, but the real estate information service does not provide the related search function.

Some real estate listing services are attempting to solve the above-mentioned problems by adding a filter on the characteristics of the sale to the implemented filter-based search interface. For example, some real estate listing services provide additional filters for items such as parking spaces, companion animals, and short-term rentals. However, the method of adding a filter has the following problems specifically.

First, since processing to a formatted data structure is required to provide a filter-based search, processing cost of data occurs every time a new filter is added. That is, every time a new filter is added, it is necessary to add a field corresponding to a filter item added to all the sale data, which may cause an excessive cost in maintenance of merchandise data.

Second, it is inefficient to provide a filter-based search interface for all the properties of the property because the characteristics of the property to be considered by the user may vary depending on the user's tendency and the purpose of the transaction.

Accordingly, it is required to provide an interface capable of providing a search function based on features of various merchandises that can be easily maintained and maintained for sale data.

Korean Patent Publication No. 2013-0105118

SUMMARY OF THE INVENTION It is an object of the present invention to provide a method and apparatus for searching for a hash tag based on a hash tag capable of supplementing a filter based search interface in a system for providing a sale search service.

According to another aspect of the present invention, there is provided a method of collecting information on a sale from a predetermined data source and automatically generating a hash tag in order to support the hash tag-based sell search method.

It is another object of the present invention to provide a method of extracting a core keyword related to a property of a sale from an information base of an advertisement collected from a predetermined data source.

The technical problems of the present invention are not limited to the above-mentioned technical problems, and other technical problems which are not mentioned can be clearly understood by those skilled in the art from the following description.

According to another aspect of the present invention, there is provided a method of searching for a property, the method comprising: displaying a digital map overlaid with an object indicating a sale; Displaying a hash tag indicating a characteristic of the selected merchandise in response to a selection input for an object, the merchandise searching apparatus comprising: receiving a selection input for the hash tag; Displaying the listing having the selected hashtag among the listings located within a predetermined range based on the geographical location of the selected listing in response to the selection input for the selected listing.

In one embodiment, the step of displaying the digital map overlaid with the object indicating the sale includes filtering the listing on the digital map according to a predetermined criterion and displaying the digital map on which the object pointing to the filtered listing is overlaid .

In one embodiment, the hashtag may include a hashtag that is automatically generated based on the information of the property collected from the predetermined data source.

In one embodiment, displaying the listing with the selected hashtag may include displaying the listing having the selected hashtag among the listings located in the same or adjacent administrative area as the selected listing.

According to another aspect of the present invention, there is provided a computer program stored in a recording medium, the computer program causing a computer readable recording medium to store a digital map, A method according to claim 1 or 2, characterized in that the seller search apparatus displays a hash tag indicating the characteristics of the selected sale in response to a selection input for the object indicating the sale, the seller search apparatus receiving a selection input for the hash tag In response to the selection input, displaying the listing having the selected hashtag among the listings located within a predetermined range based on the geographical position of the selected listing.

According to another aspect of the present invention, there is provided an on-line vender search system including an input unit for receiving a user selection input, an output unit for displaying a digital map overlaid with an object indicating a sale, In response to the selection input of the user, to display a hash tag indicating the characteristics of the selected offer, and in response to the user's selection input for the hash tag, And controlling the display unit to display an advertisement having the selected hashtag.

According to another aspect of the present invention, there is provided a method of generating a hash tag, the method including: collecting information on a sale from a predetermined data source; extracting a candidate keyword from the sale information; Calculating a importance score of the candidate keyword based on the frequency of the candidate keyword represented by the information of the candidate keyword, determining a core keyword among the candidate keywords based on the importance score, And generating a tag.

According to the present invention, by providing a hash tag-based search method that shows features of a sale together with a filter-based search interface, a user can quickly and accurately search for a desired sale.

Further, there is an effect of providing the user with summary information on the detailed information of the sale by providing a hash tag indicating the characteristics of the sale for each sale.

In addition, by collecting information on a sale automatically from a predetermined data source and generating a hashtag, the maintenance cost for the merchandise data management can be reduced as compared with the conventional method of adding a filter.

Also, it is possible to extract key keywords related to the characteristics of the sale item more accurately by extracting the key keywords from the dictionary information, in which the frequency of the candidate keywords and the keywords related to the characteristics of the sale are stored, from the information of the sale items registered by the sale brokerage.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood to those of ordinary skill in the art from the following description.

FIG. 1 is an exemplary view of a filter-based search interface provided in an existing advertisement information service.
FIG. 2 is a block diagram of an information retrieval system according to an embodiment of the present invention.
FIG. 3 is a diagram for explaining a procedure in which a user searches for a sale in the seller search system according to FIG.
4 is a hardware block diagram of an apparatus for supporting search for sale according to another embodiment of the present invention.
5 is a flowchart of a hash tag generation method according to another embodiment of the present invention.
FIG. 6 is a detailed flowchart of the key keyword extraction step shown in FIG.
7 is a diagram for explaining a method of extracting a core keyword from a plurality of data sources.
FIG. 8 is a functional block diagram of an offer searching apparatus according to another embodiment of the present invention.
9 is a flowchart of a method of searching for a sale according to another embodiment of the present invention.
10A to 10F are illustrations of a method for searching for real estate properties according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense that is commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise. The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification.

&Quot; comprises "and / or" comprising ", as used herein, unless the recited component, step, and / or step does not exclude the presence or addition of one or more other elements, steps and / I never do that.

First, before describing the present invention, a filter-based search interface provided by most goods information services will be briefly described with reference to FIG.

FIG. 1 is an exemplary view of a filter-based search interface provided in an existing advertisement information service.

The filter-based search interface means a search interface in which search items and search conditions of each item are defined in advance, unlike a keyword-based search interface provided by a portal site such as Naver. In other words, the filter-based search interface means a search interface showing the filtered result in accordance with the condition given to each item, and the item and the condition can be related to the characteristics of the advertisement that the user considers.

Referring to FIG. 1, the filter-based search interface shown in FIG. 1 provides a search item of a deposit of a property, a transaction type of a property, and a property of a property among various properties of a property. The user can set the condition of the property of the property including the deposit of the property and the transaction type of the property using the search interface shown in FIG. 1, and search only the property that satisfies the above condition among the immense property. For example, a user can search for a property having a deposit of '100 million or less' using the filter-based search interface, a transaction type 'chartered', and a structure of a commercial property corresponding to 'one room'. Also, although not shown in FIG. 1, a digital map-based search interface may be provided in the case of a sale location.

Most vender information services provide a filter-based search interface as shown in FIG. The main characteristics of the property that can affect the users in the transaction of the sale can be easily predicted by the location and price of the sale, and the filter-based search interface can provide superior user convenience than the keyword based search interface Because.

However, as described above, providing search functions for various commercial features using only the filter-based search interface has a problem in cost and efficiency. Accordingly, a search interface capable of supplementing the filter-based search interface is required.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings, which can solve the problems of the filter-based search interface.

FIG. 2 is a block diagram of an information retrieval system according to an embodiment of the present invention.

Referring to FIG. 2, the seller search system 10 may include an offer search apparatus 100 and an offer search support apparatus 300. The user can search for a sale on the basis of various features of various merchandise on-line using the seller search apparatus 100, and confirm detailed information of the searched sale. Hereinafter, for convenience of explanation, it is assumed that the sale is a real estate sale. It should be noted, however, that in the seller search system according to the present invention, the sale may include property sales such as vehicles, as well as real estate sales.

A user who uses the seller search service provided by the seller search system 10 may execute an app installed in the seller search apparatus 100, execute a web browser, execute a URL (Uniform Resource Locator) of a web page providing the offer search service ) May be input to use the seller search service.

The seller search apparatus 100 is a computing apparatus that provides a search interface for a sale to a user. The search interface provided by the seller search apparatus 100 may include a hash tag-based search interface, and may also include a filter-based search interface.

In a case where the seller search function is provided in the form of an app, the seller search apparatus may be a computing device having the app installed, and when the seller search function is provided in the form of a web service, Web browser) can be used.

The computing device may also include a handheld based wireless communication device such as a smartphone, as well as a laptop, desktop, laptop, tablet. However, the computing device is not limited thereto, and may include any type of device having a communication function and a computing function.

The seller search support apparatus 300 is a device that supports an offer search function provided by the seller search apparatus 100. Specifically, the seller search supporting apparatus can transmit a search result in response to a search request of the seller search apparatus 100. [ In order to support the hash tag-based search function, the seller search support apparatus 300 automatically extracts a core keyword from the pre-stored information, generates a hash tag, It is possible to automatically extract a core keyword representing the characteristics of a sale from the detailed information and generate a hash tag. In other words, the seller search support apparatus 300 can automatically generate a hash tag by using the information of the seller and the information of the seller collected from the external data source 500.

The hashtag means that a link is combined with a keyword, and the link may mean a link in which a listing having the same keyword as the keyword is searched. That is, the hashtag is a kind of meta data and a search term provided to conveniently search for a sale having the same hashtag. Note that, unlike the hash tag used in the SNS (Social Network Service), the hash tag used in the present specification does not have a formal restriction that a '#' symbol is added, and may include a space. The details of how the for-profit search support apparatus 300 generates the hashtag will be described with reference to FIGS. 5 to 7. FIG.

According to an implementation method, the link may include, in addition to the keyword identical to the keyword, a link in which an advertisement having a keyword similar to the keyword is searched, and the similar keyword may include a keyword including the keyword, Keywords, and the like. The keyword having the similar meaning may be implemented to be a thesaurus defined in a pre-built thesaurus, or may be determined using a relationship of keywords on a pre-built ontology.

The external data source 500 may include information about the sale provided by the portal site, information about the sale on the news article, information about the sale made by the public agency, users such as the social network service (SNS) It can be set variously according to the type of the sale including the review about the sale.

In the case of a property search system for a real estate property, the property information can be detailed information of the property registered by the real estate agency. This is because the detailed information of the property registered by the real estate agency contains relatively accurate and recent information, and in particular contains a lot of information about the characteristics of the property that the user is interested in. For example, the detailed information of a property registered by a real estate agent includes information about the property itself, such as the size of the property, the location of the property, and the educational facilities and convenience facilities around the property. Therefore, it is possible to extract a keyword indicating the characteristics of a sale more accurately than when extracting a core keyword based on the detailed information of a listing registered by a real estate agent.

Finally, the network may be implemented in any type of wired / wireless network, such as a Local Area Network (LAN), a Mobile Radio Communication Network or a satellite communication network

[0041] The seller search system 10 according to the present invention has been described with reference to FIG. Next, with reference to FIG. 3, a brief description will be given of a procedure in which the user performs a search for a sale using the seller search apparatus 100 in the seller search system.

Referring to FIG. 3, the user can search for a desired listing using the seller search apparatus 100 in the following order. First, the user can confirm filtered advertisements of general merchandise characteristics such as price, location, etc. of a sale using a filter-based search interface (S100). Next, the user can confirm the list of the goods based on the filtered result, and select the interested goods to check detailed information of the corresponding goods (S300). Since the detailed information of the sale includes the hashtag generated by the seller support apparatus 300, the user can grasp the different characteristics of the sale by viewing the hashtag. By selecting the hashtag indicating the feature of interest, (S500). ≪ / RTI >

However, the filter-based searching step S100 and the hash tag-based searching step S500 are not limited to the order shown in FIG. That is, the user may search for a listing having a common feature of a sale based on a hash tag, and perform a filter-based search for the searched listing.

The advantages provided by the user by additionally providing the hash tag-based search interface in the seller search system 10 according to the present invention are as follows. First, since the hashtag is generated based on the core keyword indicating the characteristics of the sale, the user can quickly and accurately search the desired sale based on the characteristics of the interested sale. Also, since the hashtag is a key keyword extracted from the detailed information of the sale, the hashtag can provide summary information on the sale to the user.

Up to now, a general procedure for the user to perform a search for a sale in the seller search system 10 has been described. Next, referring to FIG. 4, a detailed description will be given of an apparatus 300 for supporting search for sale according to another embodiment of the present invention.

4 is a hardware block diagram of an apparatus for supporting search for sale according to another embodiment of the present invention.

4, the resale retrieval support apparatus 300 includes one or more processors 310, a network interface 370, a memory 330 that loads a computer program executed by the processor 310, Tag creation software 391, sale information 393, and hashtag tag information 395. The storage 390 stores the tag creation software 391, 4, only the components related to the embodiment of the present invention are shown. Accordingly, those skilled in the art will recognize that other general-purpose components may be included in addition to those shown in FIG.

The processor 310 controls the overall operation of each configuration of the resale support supporting apparatus 300. [ The processor 310 may be configured to include a central processing unit (CPU), a microprocessor unit (MPU), a microcontroller unit (MCU), or any type of processor well known in the art. The processor 310 may also perform operations on at least one application or program to perform the method according to embodiments of the present invention.

The network interface 370 collects the information on the sale from the external data source 500 or transmits the digital map, the detailed information of the sale, the hash tag information of the sale, etc. to the seller searching apparatus 100, And supports data communication for transmitting a search result message. The network interface 370 may support various communication methods other than Internet communication. To this end, the network interface 370 may comprise a communication module well known in the art.

The memory 330 stores various data, commands, and / or information. The memory 330 may load one or more programs 391 from the storage 390 to perform the hashtag generation method according to embodiments of the present invention. RAM is shown as an example of memory 330 in FIG.

The storage 390 may non-provisionally store the one or more programs 391, property information 393, hash and tag information 395. In FIG. 4, the hashtag generation software 391 is illustrated as an example of the one or more programs 391.

The storage 390 can be a nonvolatile memory such as ROM (Read Only Memory), EPROM (Erasable Programmable ROM), Electrically Erasable Programmable ROM (EEPROM), flash memory, etc., hard disk, removable disk, And any form of computer-readable recording medium known in the art.

The hashtag generation software 391 is loaded into the memory 330 and is operated by one or more processors 310 to collect information of the sale from a predefined data source, an operation 331 to extract the candidate keywords from the sale information, An operation 333 for calculating an importance score of a candidate keyword based on the frequency of the candidate keyword represented by the information on the sale, an operation 335 for calculating a importance score of the candidate keyword based on the frequency of the candidate keyword, 337) and an operation 339 for generating a hash tag of the sale based on the determined core keyword.

Up to now, the seller search support apparatus 300 according to the present invention has been described. Next, a method of generating a hash tag that can be performed by the for-profit search supporting apparatus according to another embodiment of the present invention will be described in detail with reference to FIG. 5 to FIG. Hereinafter, for ease of understanding, it should be noted that the subject of each operation included in the hash tag generation method may be omitted.

5 is a flowchart of a hash tag generation method performed by the seller search support apparatus 300. As shown in FIG.

Referring to FIG. 5, the seller search support apparatus 300 collects advertisement information from a predetermined data source (S210). For example, the pre-set data source may be an internal repository in which information on a sale is stored, such as a DB-formatted storage device, or may be an external data source. Further, the information on the sale may be the information of the sale of goods registered by the real estate agency. As described above, the detailed information of the property registered by the real estate broker is relatively accurate and contains recent information, and particularly the value and reliability of the information including the information about the characteristics of the property that the user is interested in is high .

Next, the seller search support apparatus 300 extracts a core keyword indicative of the characteristics of the advertisement from the collected advertisement information (S230). A detailed description of the key keyword extraction step (S230) will be described later with reference to FIG.

The selling search supporting apparatus 300 generates a hash tag for each sale on the basis of the extracted core keyword (S250). For example, the hashtag may be implemented by connecting a link that performs a search with the core keyword to the extracted core keyword. In addition, the hashtag may be generated in units of merchandise that share common features. For example, in the case of real estate, the hashtag can be generated for each apartment complex. The property in the apartment complex is characterized by the common features of the surrounding educational facilities, traffic facilities, and convenience facilities.

Next, referring to FIG. 6, a step S230 of extracting a core keyword from the steps shown in FIG. 5 will be described in detail.

Referring to FIG. 6, the seller search support apparatus 300 extracts a candidate keyword from information of collected advertisements (S231). The candidate keyword means a set of words extracted from information on a sale. In detail, the seller search support apparatus 300 may extract a candidate keyword by performing a morphological analysis on a text portion of collected collected information, and the morphological analysis may be implemented using one or more algorithms well known in the art .

In addition, the seller search support apparatus 300 can exclude words having no value of a search word among the candidate keywords using the previously stored stopwords dictionary. For example, if you provide real estate listings for an apartment, 'apartment' is a word for all listings and therefore is not worth searching for. Therefore, the selling search supporting apparatus 300 can exclude 'apartment' from the candidate keyword by using an abbreviated dictionary in which the word 'apartment' is pre-stored. The words included in the stopwords may vary depending on the type of sale.

The selling search supporting apparatus 300 extracts a candidate keyword and calculates a importance score of the candidate keyword based on the frequency of the candidate keyword appearing in the information of the sale (S233). That is, the higher the frequency of the candidate keyword is, the higher the importance score of the candidate keyword can be calculated. Generally, the key keywords that are the subject of a document are the ones that appear in the document. The method for calculating the importance score may be implemented using one or more algorithms well known in the art. For example, the merchandise search support apparatus 300 may calculate a importance score of a candidate keyword using a TF-IDF (Term Frequency-Inverse Document Frequency). The TF-IDF is a well known technique in the related art, and a description thereof will be omitted.

Next, the seller search support apparatus 300 corrects the importance score of the candidate keyword using the predefined dictionary (S235). If the importance score is calculated only by the frequency of the candidate keyword, it may be omitted from the core keyword even though it is a candidate keyword indicating the characteristics of the sale. For example, a real estate agent can emphasize and express the information by adding a figure, changing the thickness of the letter, or underlining or highlighting, rather than repeatedly describing the important information that characterizes the property in the detailed information of the property. In such a case, if the core keyword is extracted based on the frequency only, the information emphasized by the real estate agent may be omitted. Therefore, the selling search supporting apparatus 300 prevents the candidate keyword from being missed by correcting the importance score of the candidate keyword indicating the characteristics of the sale by using the predefined dictionary.

The predefined dictionary may include a keyword indicating characteristics of various properties that the user may be interested in for the property. For example, in the case of a real estate sale, keywords relating to nearby facilities such as a station zone, a school district, a department store, and the like may be registered in the predefined dictionary. In addition, the peripheral facility may include various facilities related to the real estate sale such as a traffic facility, educational facility, or convenience facility located around the real estate sale.

The predefined dictionary may be implemented to be updated manually or automatically. For example, the administrator may manually update the predefined dictionary by checking the characteristics of the property emphasized by the real estate agent, or automatically update the predefined keyword in accordance with predetermined rules, May be implemented to be registered.

In addition, the predefined dictionary can classify and store keywords by category. For example, words such as 'station area' can be categorized as 'transportation facility', and 'school district' can be categorized as 'education facility'.

If the candidate keyword includes a previously registered keyword or is a related keyword, the selling search support apparatus 300 performs a calculation such as adding or multiplying a predetermined weight, which is set in advance, to the importance score of the candidate keyword, The score can be corrected. Alternatively, in the case of the pre-registered keyword, the pre-defined keyword may be extracted as the core keyword irrespective of the importance score. When the importance scores of the candidate keywords are corrected using the weights, the predefined weights may be different for each category or keyword.

Finally, the selling search support apparatus 300 determines a core keyword to be generated by the hashtag based on the importance score of the candidate keyword (S237). The selling search supporting apparatus 300 may determine the top N candidate keywords having a high importance score according to a relative standard as a core keyword or a candidate keyword having a importance score equal to or higher than a certain score according to an absolute criterion. Alternatively, the selling search support apparatus 300 may determine the top N candidate keywords among the candidate keywords having the importance score equal to or higher than a certain score as the core keyword, which may be a difference in the implementation method. In addition, as described above, the selling search supporting apparatus 300 may determine the candidate keyword as a core keyword regardless of the importance score of the candidate keyword if the candidate keyword is a pre-registered keyword.

Next, with reference to FIG. 7, a method for extracting a core keyword from a plurality of data sources based on the seller search support apparatus 300 will be described.

Fig. 7 shows an example of extracting a keyword from a plurality of data sources.

Referring to FIG. 7, the seller search support apparatus 300 collects information on a sale from two data sources. In this figure, only two data sources are shown, but this is for the sake of convenience of description, and the sell search support apparatus can collect information of a sale from a plurality of data sources of three or more, The concept of the invention to be described later can be applied equally regardless of the number.

The seller search support apparatus 300 can extract a candidate keyword from the information of the sale collected from each data source and calculate the importance score. FIG. 7 illustrates an example in which the seller search support apparatus 300 extracts candidate keywords for 'sale A' and calculates importance scores 321 and 323. The candidate keywords are 'a', 'b' and 'c', and the importance scores of the candidate keywords are '70' and '30', respectively, , &Quot; 60 ".

The selling search support apparatus 300 can obtain an arithmetic average of the importance scores to reflect all the importance scores of candidate keywords extracted from different data sources. The higher the importance score of the candidate keywords extracted from different data sources, the higher the probability of becoming a key keyword indicating the characteristics of the sale. That is, the seller search support apparatus 300 can improve the accuracy of keyword extraction by reflecting all the importance scores of the candidate keywords extracted from the plurality of data sources.

7, the seller search support apparatus 300 can calculate an arithmetic average based on importance scores 321 and 323 of a candidate keyword for a sale A extracted from different data sources to calculate a final importance score 325 have. For example, the seller search support apparatus 300 can calculate '65', which is an average value of '70' and '60', as the final importance score in case of the candidate keyword 'a'.

Meanwhile, the seller search support apparatus 300 may use a weighted average to give a weight to the weight of the importance score reflected for each data source. For example, if the information of the sale collected in the 'data source # 1' includes an exaggerated advertisement and the reliability of the information is low, the selling search support apparatus 300 may notify the seller of the candidate keyword extracted from the 'data source # 1' The weighted average may be obtained by giving a relatively low weight to the importance score and a relatively high weight to the data source # 2.

A method of generating a hash tag performed by the for-profit search support apparatus 300 has been described with reference to FIGS. 5 to 7. FIG. According to the above-described method, the hash tag generation method according to the present invention collects highly reliable information such as the detailed information of the property registered by the real estate agent, and uses the dictionary registered with the keyword representing the characteristics of the sale, Correcting the score, and introducing the concept of arithmetic mean or weighted average for the importance scores of candidate keywords extracted from a plurality of data sources, it is possible to accurately extract key keywords representing the characteristics of the sale.

Next, a seller search apparatus 100 according to another embodiment of the present invention will be described with reference to FIG.

8 is a functional block diagram of an offer search apparatus according to another embodiment of the present invention. Referring to FIG. 8, the vending apparatus 100 may include an input unit 110, an output unit 120, a communication unit 130, a storage unit 140, and a controller 160. However, only the components related to the embodiment of the present invention are shown in Fig. Therefore, it will be understood by those skilled in the art that other general-purpose components other than the components shown in FIG. 8 may be further included.

The input unit 110 may include an input unit for receiving a variety of selection inputs of a user related to a search for a product such as a condition selection of a filter, a hash tag selection, and the like. The input device may be a keyboard, a mouse, a touch screen, or the like, but the present invention is not limited thereto, and may be different depending on the type of the vending machine 100.

The output unit 120 may include an output device capable of displaying various GUI objects related to the searched product, such as a digital map overlaid with an object indicating the sale. The output device may be a monitor, a screen, or the like, but the present invention is not limited thereto and may vary depending on the type of the vender search apparatus 100.

The communication unit 130 may receive the digital map, the detailed information of the sale, the hash tag information of the sale, etc. from the seller search support apparatus 300 and provide a data communication function for transmitting a search request message and receiving a search result message . In addition, the communication unit 130 may include a wired Internet module, a mobile communication module, or a wireless communication module to provide the data communication function.

The storage unit 140 may non-temporarily store the one or more computer programs and the like for executing the property search method. The storage unit 140 may be a nonvolatile memory such as a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), a flash memory and the like, a hard disk, a removable disk, And may include any type of well-known computer-readable recording medium.

The control unit 160 controls the overall operation of each configuration of the vending information searching apparatus 100. The control unit 160 may be configured to include a CPU (Central Processing Unit), an MPU (Micro Processor Unit), an MCU (Micro Controller Unit), or any type of processor well known in the art.

The control unit 160 may include a seller information searching unit 155 and the selling information searching unit 155 may perform a filter based search and a hash tag based searching function. According to the implementation method, the search function may be performed independently by the seller searching apparatus 100, or by requesting the search operation of the seller search support apparatus 300 and receiving search results.

In addition, the controller 160 may perform at least one application or program operation for executing the seller search method according to the embodiments of the present invention to be described later.

Up to now, the vender search apparatus 100 according to the present invention has been described. Next, a listing search method according to another embodiment of the present invention will be described in detail with reference to FIGS. 9 to 10. FIG. Hereinafter, for ease of understanding, it should be noted that the subject of each operation included in the seller search method may be omitted.

9 is a flowchart of a method of searching for a sale according to another embodiment of the present invention.

Referring to FIG. 9, the vender search apparatus 100 displays a digital map overlaid with an object indicating a sale (S510). The object refers to a GUI object that can be implemented in various forms, and can be implemented in various forms in consideration of the type of the sale.

For reference, a listing displayed as an object on a digital map may be a filtered listing primarily through a filter-based search. That is, as described above, the user can filter the listings for sale, price, and the like, check the detailed information of the sale about the filtered result, and perform the feature-based search of the interested sale using the hashtag .

Next, the user can select an object pointing to the sale on the digital map to confirm detailed information of the interested sale. For example, the selection may be performed by clicking an object pointing to the sale using a mouse, or touching an object pointing to the sale in the case of a screen having a touch function, It depends on the kind. If there is a selection input of the user, the vending apparatus 100 receives a selection input for the object indicating the vender (S530).

As the selection input is received, the vender search apparatus 100 displays a hash tag indicating the detailed information of the selected vender and the characteristics of the selected vender (S550). For example, the detailed information of the sale and the hash tag information may be information received from the seller search support apparatus 300, and the information may be provided by the seller search apparatus 100 in response to the selection input of the sale, Lt; RTI ID = 0.0 > 300 < / RTI > Alternatively, the seller may receive detailed information of the sale and hash tag information in advance at the time when the vending machine 100 receives the digital map, which may vary depending on the implementation method.

The seller searching apparatus 100 may display only the hash tags associated with nearby facilities within a predetermined range based on the geographical location of the selected merchandise. Here, the peripheral facilities mean traffic facilities, educational facilities, and convenience facilities. For example, if the hashtag of the selected listing includes' southbound ',' duplex ',' station zone ', and' department store ', the searched product search apparatus 100 may search for' hash ',' Tags, and 'department stores' related to the surrounding facilities of the merchandise. According to the implementation method, the step of excluding the hashtag may be performed directly by the merchandise searching apparatus 100, or may be performed by requesting the sell search supporting apparatus 300 and receiving the result.

When there are a plurality of hashtags having similar keywords, the vending apparatus 100 may display only a hash tag having a representative keyword for the similar keyword instead of the hash tag for the similar keyword.

Specifically, the seller search apparatus 100 groups hash tags having similar keywords, determines representative keywords for the grouped hash tags, and displays only the hash tags having the representative keywords instead of the hash tags having the similar keywords . In addition, when a selection input for a hash tag having a representative keyword is received, the veterinary search apparatus 100 may display a search result for a hash tag having a similar keyword mapped to the representative keyword.

For example, the seller search apparatus 100 may group the hash tags using a mapping table having a set of similar keywords and a pair of representative keywords as table entries, and determine representative keywords. Also, the representative keyword may be one of the keywords belonging to the set of the similar keywords, or may be another keyword not belonging to the set of the similar keywords.

For example, if the entry in the predetermined mapping table includes a keyword keyword set such as {'seconds', 'school districts', 'elementary schools'} and the like, and 'seconds' is set as a representative keyword mapped thereto , The veterinary search apparatus 100 may display only the hash tags having the keyword 'native seconds' instead of displaying the hash tags having the keywords of 'native language', 'native language school district', and 'native language elementary school' have. In this way, the vending apparatus 100 can provide more concentrated information in a limited display area by displaying only the hash tags having representative keywords.

The step of grouping the hash tags having the similar keyword and determining the representative keyword may be performed by the seller search support apparatus 300 according to the implementation method. That is, the seller search support apparatus 300 groups the hash tags having the similar keywords among the generated hash tags, and provides the hash tags having the representative keywords instead of the hash tags having the grouped similar keywords to the seller search apparatus 100 .

According to the implementation method, the seller search apparatus 100 can display the hash tags of the selected merchandise according to the importance scores, or display the highlighted hash tags indicating the key keywords having high importance. In addition, the hash tag may be classified and displayed in categories such as a traffic facility, an educational facility, and the like.

In addition, the location where the hash tag of the selected property is displayed according to the implementation method can be changed dynamically. For example, the location of the hashtag may be dynamically changed based on the number of selections of the user. This is because a hash tag selected by a user is highly likely to be a hash tag indicating a characteristic of a commercially important article. Depending on the implementation method, instead of changing the location of the hash tag, other GUI attributes such as the color of the hash tag may be changed to reflect the user's selection count.

For reference, the number of times the user selects a hash tag can be used in the key keyword extraction step (S230). For example, the vending apparatus 100 may dynamically change the weight of a predefined keyword by using a hash tag selection count of the user, or may change the weight of the hash tag if the keyword is not registered in the predefined dictionary The keyword indicated by the hash tag whose number of selection times is equal to or greater than a preset number can be registered in the predefined dictionary. That is, the seller search apparatus 100 can extract the core keyword by dynamically reflecting the interest of the user by increasing or decreasing the weight of the keyword indicated by the selected hashtag according to the number of hash tag selection times of the user.

Next, if the user selects any one of the hash tags indicating the characteristics of the interested merchant among the hash tags indicating the characteristics of the selected merchandise, the seller's search apparatus 100 receives the selection input for the hash tag (S570). The selection may also be performed by a method of clicking or touching a hash tag of interest using a mouse.

Upon being received at the select input for the hash tag, the seller search apparatus 100 searches for a sale having the selected hashtag and displays the searched sale (S590). The seller search apparatus 100 can list the searched sorts in a list format and output the sorts, and the list of sorts can be sorted according to a predetermined criterion. For example, the listing of the property may be sorted based on the price of the property, the size of the property, and the like.

According to the implementation method, the method for searching for a sale having the selected hashtag can be performed independently by the seller searching apparatus 100 or the selling search apparatus 100 requests a search for a sale search support apparatus 300 Or by receiving search results. If the latter is implemented, the seller search apparatus 100 transmits a search request message for the sale having the selected hashtag to the sale search support apparatus 300, and transmits a search result message for the sale having the selected hashtag And display the searched listing.

Meanwhile, the seller search apparatus 100 may perform search based on a hash tag by limiting the search range according to various criteria. When displaying all the properties having the selected hashtag, it is possible to transmit information about the unnecessary property to the user. Hereinafter, various criteria in which the seller searching apparatus 100 defines a search range will be described.

First, the seller search apparatus 100 may limit the filtered advertisements to the search range through the filter-based search interface. This is because the filtered advertisements are retrieved based on the characteristics of the advertisements that the user preferentially considers.

Second, the vender search apparatus 100 may limit an advertisement placed on the displayed digital map to the search range. This is because the digital map displayed by the output unit indicates the position of the merchandise currently being considered by the user. That is, the user can preliminarily fix the position of an interested item using a digital map-based interface, and further consider other characteristics of the property within the range of the displayed digital map, thereby effectively limiting the search range can do.

In addition, when the seller search apparatus 100 provides an enlargement and reduction interface for the digital map, the user can adjust the search range using the enlargement and reduction functions of the interface. For example, if the user desires to further restrict the search range, the user can reduce the geographical range of the displayed digital map by using the enlargement function of the interface.

Thirdly, the seller search apparatus 100 may limit the search range to an advertisement located in the same or adjacent administrative zone as the selected advertisement. The administrative zone may be a sphere unit, a unit unit, or the like where the selected property is located, which may vary depending on the implementation method. Or may be configured to change according to the setting of the user.

Fourth, the seller search apparatus 100 may limit the search range to the search range in the form of a closed curve on the displayed digital map. The closed curve may have various shapes such as a square shape and a circular shape, which may vary depending on the implementation method. The closed curve may also be set by the user before selecting the hash tag. When the seller search apparatus 100 provides an enlargement and reduction interface for a digital map, the user can use the interface to appropriately change the resolution of the digital map and specify the closed curve to more flexibly limit the search range .

Lastly, the seller search apparatus 100 may limit the searched by the previously selected hashtag to the search range. In detail, when the user selects the first hashtag and confirms the detailed information of any one of the searched listings, and selects the second hashtag shown in the detailed information, the searched through the second hashtag The second hash tag may be an advertisement having the second hash tag among the listings searched by the first hash tag. Through the above-described limitation, the seller search apparatus 100 can provide a search function for an advertisement that shares characteristics of a plurality of advertisements.

As described above, the vending apparatus 100 can perform a hash tag-based search by limiting the search range according to various criteria in order to prevent unnecessary listings from being searched. However, the seller search apparatus 100 may limit the search range by any one of the above-described search range limiting methods, and may limit the search range through two or more combinations.

Referring to FIG. 9, a method of searching for a sale based on a hash tag has been described. According to the above-described method, the seller search apparatus 100 can provide a quick and accurate search method to a user by providing a hash tag based merchandise search and a search range limitation function that characterize a sale.

Next, with reference to FIGS. 10A to 10F, an example of performing a hash tag-based search on an apartment sale will be described.

FIG. 10A is an exemplary view of a seller search GUI displayed by the seller searching apparatus 100. FIG.

Referring to FIG. 10A, the seller search GUI may include a digital map 121 and a filter-based search interface 122, and an object indicating a sale may be overlaid on the digital map. The property indicated by the object may be, for example, one apartment complex. The user can confirm filtered advertisements regarding the characteristics of the sale such as the transaction type of the sale, the equilibrium of the sale, the price of the sale, etc. through the filter-based search interface 122 provided by the seller search apparatus 100. Alternatively, the user may select the object 123 indicating the sale on the digital map without performing the filtering, check the detailed information of the sale, and use a hash tag-based search.

FIGS. 10B and 10C are exemplary views of a seller search GUI displayed by the seller search apparatus 100 as a selection input for an object indicating an advertisement is received.

10B and 10C, when the user selects an object 123 indicating a sale on the digital map 121, the seller 100 searches for a detailed information about the sale and a hash tag 124 can be displayed. It can be seen that the displayed hashtag 124 includes keywords such as 'Van Trading', 'Baekpyeong District', 'Station zone', 'Department store' and so on. For example, the keyword may include traffic facilities, educational facilities, and convenience facilities such as' Pangyong Station ',' Hyundai Department Store ',' Bopyeong Middle School ',' May be a keyword automatically extracted from the detailed information of the sale of the real estate agent by the real estate agent.

The user can quickly grasp the characteristics of the selected merchandise through the hash tag 124. For example, when the user views the hash tag 124, the selected apartment sale 123 is constructed as 'Southbound', located in the 'station zone', and 'Van Trading' is located nearby the transportation facility. You can see that there is a 'department store' nearby. Also, the user can recognize that the property 123 is located in the area included in the 'Bokpyung school district', and the 'Bokpyung school district' is called as 'Famous school district'.

Although not shown in FIG. 10C, a hash tag indicating a key keyword having a high importance among the hash tags 124, as described above, can be highlighted and displayed. Also, the hash tag 124 may be classified into categories such as a traffic facility, an educational facility, and the like.

The user can select any one of the hashtags 125 that represent the characteristics of the merchandise currently under consideration from the displayed hashtag 124. [ In the above example, the user selects the hash tag 125 representing 'the famous school district' on the assumption that the characteristics of the apartment educational property are considered by the user.

10D and 10E are illustrations of the seller search GUI displayed by the seller search apparatus 100 as the selection input of the hash tag 125 representing the 'prestigious school district' is received. In the above example, the seller search apparatus 100 has assumed that the search range of a sale having a hash tag based on the administrative area of the selected sale is limited.

Referring to Figs. 10D and 10E, the vending apparatus 100 displays a list 126 of listings 126 having a hash tag 125 in a list format. However, the list format can be displayed in any other way because it is only a representation or an implementation of the GUI.

Looking at the apartment sale 126 with the hashtag 125, it can be seen that a variety of merchandise with the characteristics of 'prestigious school district' is displayed. In addition, as a result of limiting the search range on the basis of the administrative district, as a result of the search, listings displayed in the search results are classified into 'Sampyeong-dong' and 'Baekhyeon-dong' ≪ / RTI > are displayed. ≪ RTI ID = 0.0 >

If there are a plurality of adjacent administrative zones according to the implementation method, for convenience of the user, the administrative zone information 127 in which the searched advertisement is located may be additionally displayed.

Lastly, FIG. 10F is a diagram for explaining an example of limiting a search range of a sale when performing a hash tag-based search.

As described above, the seller search apparatus 100 may limit an advertisement located on the displayed digital map 121 to a search range of an advertisement having a selected hash tag.

Alternatively, the vender search apparatus 100 may limit the partial area 128 on the digital map 121 to the search range. For example, the user may designate a certain area 128 using a GUI object that forms a closed curve, such as a rectangle, before selecting the hash tag 124, Search scope can be. For convenience of understanding, the partial area is shown as a rectangular figure, but the area may be designated as a circle shape according to an implementation method, and may be a closed curve having various shapes.

In addition, when the seller search apparatus 100 provides an enlargement and reduction interface for the digital map 121, the user can adjust the search range using the enlargement and reduction interface. For example, the user can restrict the search range to a narrower range by narrowing down the geographic range of the digital map included in the partial area 129 by limiting the partial area 128 to the search range and enlarging the digital map 121 have. Conversely, the user may change the search range to a wider range by reducing the digital map.

The concepts of the present invention described above with reference to Figures 5 to 7 and 9 to 10 can be implemented in computer readable code on a computer readable medium. The computer readable recording medium may be, for example, a removable recording medium (CD, DVD, Blu-ray disk, USB storage device, removable hard disk) . The computer program recorded on the computer-readable recording medium may be transmitted to another computing device via a network such as the Internet and installed in the other computing device, thereby being used in the other computing device.

Although the operations are shown in the specific order in the figures, it should be understood that the operations need not necessarily be performed in the particular order shown or in a sequential order, or that all of the illustrated operations must be performed to achieve the desired result. In certain situations, multitasking and parallel processing may be advantageous. Moreover, the separation of the various configurations in the above-described embodiments should not be understood as such a separation being necessary, and the described program components and systems may generally be integrated together into a single software product or packaged into multiple software products .

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

Claims (16)

Displaying the digital map on which the object indicating the sale is overlaid on the screen of the sought-after search apparatus;
Displaying the hash tag indicating the characteristics of the selected property in response to a selection input for an object indicating the property;
Receiving the selection input for the hash tag; And
And displaying the list of the searched for items of the selected hashtag among the advertisements located in the same or adjacent administrative area as the selected sale in response to the selection input for the hashtag,
Wherein at least some of the list of displayed properties includes listings that are not displayed on the screen,
Wherein the hash tag indicating the characteristics of the selected property includes:
A first step of grouping the same or similar keywords having the same meaning or similar keywords as the core keywords extracted from the listing information registered in the real estate broker using a mapping table having a pair of representative keywords and a pair of representative keywords as table entries, A second step of replacing the grouped core keyword with a corresponding representative keyword using a table, and a third step of generating a hash tag based on the corresponding representative keyword,
Wherein the extracted core keyword includes a keyword indicating at least one facility among educational facilities, traffic facilities, and convenience facilities located around the selected property,
How to search for properties. The method according to claim 1,
Wherein displaying the digital map overlaid with an object indicating the sale comprises:
Filtering the listing on the digital map according to a predetermined criterion; And
And displaying a digital map overlaid with an object indicating the filtered listing,
How to search for properties. delete delete The method according to claim 1,
The hashtag is a hashtag generated for each apartment complex,
How to search for properties. The method according to claim 1,
Wherein the displaying the hashtag comprises:
Displaying only a hash tag associated with at least one of the educational facility, the transportation facility, and the convenience facility located in the vicinity of the selected merchandise.
How to search for properties. delete delete The method according to claim 1,
The displaying of the list of the searched items by the keyword of the selected hashtag may include:
Transmitting a search request for a sale having the selected hashtag to a sale search support apparatus;
Receiving a list of listings searched by the keyword of the selected hashtag among the listings located in the same or adjacent administrative area from the sale search support apparatus; And
And displaying a list of the received offers.
How to search for properties. delete A method for generating a hash tag performed by a for-profit search support apparatus,
Extracting a candidate keyword from information of the property registered in the real estate brokerage;
Calculating an importance score of the candidate keyword based on the frequency of the candidate keywords appearing in the information on the sale;
The importance score of a candidate keyword corresponding to a pre-registered keyword in the pre-defined keyword is corrected, and the registered keyword includes a keyword indicating at least one facility among a traffic facility, an educational facility, and a convenience facility In step;
Determining a core keyword among the candidate keywords based on the corrected importance score; And
And generating a hash tag of the for sale based on the determined core keyword,
The step of generating the hashtag of the for sale includes:
Grouping core keywords having the same or similar meanings into each other by using a mapping table having a set of keywords having the same or similar meaning and a pair of representative keywords as table entries;
Replacing the grouped core keyword with a corresponding representative keyword using the mapping table; And
And generating a hash tag of the for sale based on the corresponding representative keyword.
How to generate a hashtag. delete delete 12. The method of claim 11,
The property is an apartment complex,
The step of generating the hashtag of the for sale includes:
And generating said hashtag for each apartment complex.
How to generate a hashtag. In combination with the computing device,
Displaying on the screen a digital map overlaid with an object indicating a sale;
Displaying a hash tag representing the characteristics of the selected property in response to a selection input for the object indicating the property;
Receiving a selection input for the hash tag; And
Displaying a list of listings searched for by the keywords of the selected hashtag among listings located in the same or adjacent administrative area as the selected listing, wherein at least a portion of the displayed listings is displayed on the screen ≪ RTI ID = 0.0 > and / or < / RTI &
Wherein the hash tag indicating the characteristics of the selected property includes:
A first step of grouping the same or similar keywords having the same meaning or similar keywords as the core keywords extracted from the listing information registered in the real estate agent using a mapping table having a pair of representative keywords and a pair of representative keywords as table entries, A second step of replacing the grouped core keyword with a corresponding representative keyword using a table, and a third step of generating a hash tag based on the corresponding representative keyword,
Wherein the extracted core keyword includes a keyword indicating at least one facility among educational facilities, traffic facilities, and amenities located around the selected property,
Computer program. An input for receiving a user selection input;
An output unit for displaying on the screen a digital map overlaid with an object indicating a sale; And
In response to the user's selection input for the object, to display a hashtag indicative of a characteristic of the selected property, and in response to the user's selection input for the hashtag, And a control unit for controlling the display unit to display a list of the goods searched for by the keyword of the selected hashtag among the goods,
Wherein at least some of the list of displayed properties includes listings that are not displayed on the screen,
Wherein the hash tag indicating the characteristics of the selected property includes:
A first step of grouping the same or similar keywords having the same meaning or similar keywords as the core keywords extracted from the listing information registered in the real estate broker using a mapping table having a pair of representative keywords and a pair of representative keywords as table entries, A second step of replacing the grouped core keyword with a corresponding representative keyword using a table, and a third step of generating a hash tag based on the corresponding representative keyword,
Wherein the extracted core keyword includes a keyword indicating at least one facility among educational facilities, traffic facilities, and convenience facilities located around the selected property,
Property search device.

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