CN104850641A - Information recommendation method and device - Google Patents
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- CN104850641A CN104850641A CN201510274459.5A CN201510274459A CN104850641A CN 104850641 A CN104850641 A CN 104850641A CN 201510274459 A CN201510274459 A CN 201510274459A CN 104850641 A CN104850641 A CN 104850641A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
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Abstract
The invention discloses an information recommendation method and device used for sending recommended information to a user timely and accurately. The method includes: acquiring position information of the user; matching with a pre-established user model according to the position information, and determining feature information of the user; sending the recommended information to the user according to the feature information. By the method and device, the corresponding recommended information is sent to the user according to the feature information, related features of the user are determined according to the user model, further related information more adaptable to the feature information is recommended to the user, and accuracy of the recommended information is improved; besides, as the user model is established in advance, the feature information of the user can be returned quickly through the user model so as to send the recommended information to the user timely and accurately, and recommendation efficiency is increased.
Description
Technical field
The present invention relates to Internet technical field, particularly a kind of method of recommendation information and device.
Background technology
User opens mobile phone A PP (Application, application program) time, can according to GPS (GlobalPositioning System, GPS), Wi-Fi (Wireless-Fidelity, WiMAX), mobile base station etc. comprehensively locates, and then obtains user position.To the service condition of user's locating information being at present: by calculating, showing service and the information of anchor point periphery, as neighbouring hotel, restaurant, market, weather condition etc.; Or according to the destination that user selects, by calculating, initiate navigation directions from anchor point.
In correlation technique, although can using the anchor point of user as an information, carry out related service recommendation (as neighbouring hotel, restaurant, market, navigation information etc.), but it is also very elementary to the use of locating information, also rest on the simple stage using locating information, more how valuable data can not be excavated from locating information.
Summary of the invention
In view of the above problems, the present invention is proposed to provide a kind of overcoming the problems referred to above or a kind of method of recommendation information solved the problem at least in part and device, in order to send recommendation information to user in time, accurately.
The invention provides a kind of method of recommendation information, comprising:
Obtain the positional information of user;
Mate with the user model set up in advance according to described positional information, determine the characteristic information of described user;
Recommendation information is sent to described user according to described characteristic information.
In one embodiment, described user model obtains by following manner:
Obtain the positional information of multiple user and the characteristic information of described multiple user;
According to the incidence relation of the positional information of described multiple user and the characteristic information of described multiple user, set up user model.
In one embodiment, described characteristic information can comprise: personal attribute information and browse in terminal article information, comment the information of article, the information of accommodating articles and to article marking information in any one or multinomial user behavior information.
In one embodiment, after the positional information of the multiple user of described acquisition and the characteristic information of described multiple user, described method also can comprise:
Region dividing is carried out in described actual geographic position;
For each user, determine the region belonging to described positional information of user;
The incidence relation of the characteristic information of the described positional information according to described multiple user and described multiple user, set up user model, comprising:
Region belonging to multiple user and characteristic information are added up, sets up user model.
In one embodiment, also can comprise:
The characteristic information of the user in region described in periodic harvest;
According to the continuous more user model of the characteristic information of the user in the region of described division and the described region of persistent collection.
The present invention also provides a kind of device of recommendation information, comprising:
First acquisition module, for obtaining the positional information of user;
Characteristic information determination module, for mating with the user model set up in advance according to described positional information, determines the characteristic information of described user;
Recommendation information sending module, for sending recommendation information according to described characteristic information to described user.
In one embodiment, described device also can comprise:
Second acquisition module, for the characteristic information of the positional information and described multiple user that obtain multiple user;
User model sets up module, for the incidence relation according to the positional information of described multiple user and the characteristic information of described multiple user, sets up user model.
In one embodiment, described characteristic information can comprise: personal attribute information and browse in terminal article information, comment the information of article, the information of accommodating articles and to article marking information in any one or multinomial user behavior information.
In one embodiment, described device also can comprise:
Region dividing module, for carrying out Region dividing by described actual geographic position;
Position determination module, for for each user, determines the region belonging to described positional information of user;
User model sets up module also for adding up the region belonging to multiple user and characteristic information, sets up user model.
In one embodiment, described device also can comprise:
Collection module, for the characteristic information of the user in region described in periodic harvest;
Update module, for according to the characteristic information of the user in the region of described division and the described region of persistent collection constantly more user model.
Some beneficial effects of the embodiment of the present invention can comprise: by obtaining the positional information of user, mate with the user model set up in advance according to positional information, determine the characteristic information of user, corresponding recommendation information is sent to user according to characteristic information, the correlated characteristic of user is determined by user model, and then to the relevant information that it is recommended and its feature is more applicable to, improve the accuracy of recommendation information, and because user model establishes in advance, therefore can by the characteristic information of user model fast return user, thus in time, recommendation information is sent accurately to user, improve the efficiency of recommendation.
Other features and advantages of the present invention will be set forth in the following description, and, partly become apparent from instructions, or understand by implementing the present invention.Object of the present invention and other advantages realize by structure specifically noted in write instructions, claims and accompanying drawing and obtain.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, together with embodiments of the present invention for explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the process flow diagram of the method for a kind of recommendation information in the embodiment of the present invention;
Fig. 2 is the process flow diagram of the method for another kind of recommendation information in the embodiment of the present invention;
Fig. 3 is the process flow diagram of the method for another kind of recommendation information in the embodiment of the present invention;
Fig. 4 is the process flow diagram of the method for another kind of recommendation information in the embodiment of the present invention;
Fig. 5 is the block diagram of the device of a kind of recommendation information in the embodiment of the present invention;
Fig. 6 is the block diagram of the device of another kind of recommendation information in the embodiment of the present invention;
Fig. 7 is the block diagram of the device of another kind of recommendation information in the embodiment of the present invention;
Fig. 8 is the block diagram of the device of another kind of recommendation information in the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein is only for instruction and explanation of the present invention, is not intended to limit the present invention.
Figure 1 shows that the process flow diagram of the method for a kind of recommendation information in the embodiment of the present invention, in intelligent terminal especially mobile terminal and application program thereof, as shown in Figure 1, comprise the following steps S11-S13:
Step S11, obtains the positional information of user.
In one embodiment, when user opens mobile terminal APP, comprehensively locate according to GPS, Wi-Fi, mobile base station etc., obtain the positional information at user place.
Step S12, mates with the user model set up in advance according to positional information, determines the characteristic information of user.
In one embodiment, characteristic information can comprise: personal attribute information and browse in terminal article information, comment the information of article, the information of accommodating articles and to article marking information in any one or multinomial user behavior information.Personal attribute information can be the personal information such as sex, occupation, income, home address of user.
In one embodiment, as shown in Figure 2, user model obtains by following step S21-S22:
Step S21, obtains the positional information of multiple user and the characteristic information of multiple user.
Step S22, according to the incidence relation of the positional information of multiple user and the characteristic information of multiple user, sets up user model.
According to the positional information of the multiple users collected, in conjunction with the characteristic information of this multiple user, carry out large data analysis, such as, the commodity of the commodity category that analysis user often browses or buys, price range, user's collection, the information such as the commodity of user comment, and the information such as age, occupation, income.User divided according to region, the difference according to region sets up user model.
Said method, sets up user model in advance, when there being new user, can release user place crowd fast according to locating information is counter, thus can timely and accurately to new user's Recommendations information.
Step S13, sends recommendation information according to characteristic information to user.
When there being new user to use, the crowd at user place oppositely can be found according to user model, then the feature of this crowd is associated with it new user, express-analysis makes new advances the characteristic information of user, such as, the information such as age, occupation, income, thus targetedly to user's recommendation information, such as user access be shopping class app, now can targetedly to user's Recommendations information.
The said method of the embodiment of the present invention, by obtaining the positional information of user, mate with the user model set up in advance according to positional information, determine the characteristic information of user, corresponding recommendation information is sent to user according to characteristic information, the correlated characteristic of user is determined by user model, and then to the relevant information that it is recommended and its feature is more applicable to, improve the accuracy of recommendation information, and because user model establishes in advance, therefore can by the characteristic information of user model fast return user, thus in time, recommendation information is sent accurately to user, improve the efficiency of recommendation.
In one embodiment, as shown in Figure 3, after step s 21, said method also can comprise step S23-S24:
Step S23, Region dividing is carried out in actual geographic position.
After obtaining the positional information of multiple user, positional information is associated with actual geographic position, and the attribute of mobile phone anchor point, such as, community, school, commercial circle, IT office building etc.Region dividing is carried out in actual geographic position, during division, such as can be divided into a region by an office building, also can be divided into a region by several office building, specifically determine how zoning according to actual conditions.
Step S24, for each user, determine the region belonging to positional information of user.
In this step, the position at each user place is incorporated in the region belonging to it.
Step S22, can be embodied as following steps S25:
Step S25, the region belonging to multiple user and characteristic information to be added up, set up user model.
First large data analysis is carried out according to the positional information of user and user behavior information, carry out the preliminary foundation of user model, the attribute of above-mentioned positional information and the preliminary user model set up are carried out COMPREHENSIVE CALCULATING, the main latitude calculated is: the feature of locating information, the major consumers tendency, consumption price interval, consumption category etc. of user, and the user model of attribute centered by actual geographic position is set up according to divided region.Illustrate, user model is set up in the region intensive to certain office building, such as international trade CBD region, the user model set up is roughly as follows: first the positional information of the user in this region be associated with actual geographic position, such as XX mansion, the user behavior information of acquisition is carried out large data analysis, result after analysis is such as: age of user is between 25-45 year, income level is more than 5000, the moon, the level of consumption was between 1000-5000, and the merchandise classification often browsed has clothes, electronic product.Also can segment in units of the mansion of the user model in this region in region, namely in units of each mansion, set up user model.
Said method, is associated with the positional information of user in concrete affiliated regional extent, is convenient to zoning and sets up user model further.
In one embodiment, as shown in Figure 4, said method also can comprise step:
The characteristic information of the user in step S26, periodic harvest region.
Step S27, according to divide region and persistent collection region in user characteristic information constantly update user model.
In order to make the user model of foundation more perfect, accurate, persistent collection user's characteristic information, As time goes on, user model can be more and more accurate, above-mentioned user model build first week, second week, the 3rd week, after 4th week, the accuracy rate according to the characteristic information of the anti-new user released of user model reaches 53.06%, 65.00%, 87.31%, 93.08% respectively.
Based on same inventive concept, the embodiment of the present invention additionally provides a kind of device of recommendation information, the principle of dealing with problems due to this device is similar to the method for aforementioned recommendation information, and therefore the enforcement of this device see the enforcement of preceding method, can repeat part and repeat no more.
Figure 5 shows that the block diagram of the device of a kind of recommendation information in the embodiment of the present invention, as shown in Figure 5, this device comprises:
First acquisition module 51, for obtaining the positional information of user;
Characteristic information determination module 52, for mating with the user model set up in advance according to positional information, determines the characteristic information of user;
Recommendation information sending module 53, for sending recommendation information according to characteristic information to user.
In one embodiment, as shown in Figure 6, said apparatus also can comprise:
Second acquisition module 54, for the characteristic information of the positional information and multiple user that obtain multiple user;
User model sets up module 55, for the incidence relation according to the positional information of multiple user and the characteristic information of multiple user, sets up user model.
In one embodiment, characteristic information can comprise: personal attribute information and browse in terminal article information, comment the information of article, the information of accommodating articles and to article marking information in any one or multinomial user behavior information.
In one embodiment, as shown in Figure 7, said apparatus also can comprise:
Region dividing module 56, for carrying out Region dividing by actual geographic position;
Position determination module 57, for for each user, determines the region belonging to positional information of user;
User model sets up module 55 also for adding up the region belonging to multiple user and characteristic information, sets up user model.
In one embodiment, as shown in Figure 8, said apparatus also can comprise:
Collection module 58, for the characteristic information of the user in periodic harvest region;
Update module 59, for according to the characteristic information of the user in the region in the region divided and persistent collection constantly more user model.
The said apparatus of the embodiment of the present invention, by obtaining the positional information of user, mate with the user model set up in advance according to positional information, determine the characteristic information of user, corresponding recommendation information is sent to user according to characteristic information, the correlated characteristic of user is determined by user model, and then to the relevant information that it is recommended and its feature is more applicable to, improve the accuracy of recommendation information, and because user model establishes in advance, therefore can by the characteristic information of user model fast return user, thus in time, recommendation information is sent accurately to user, improve the efficiency of recommendation.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory and optical memory etc.) of computer usable program code.
The present invention describes with reference to according to the process flow diagram of the method for the embodiment of the present invention, equipment (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing device produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded in computing machine or other programmable data processing device, make on computing machine or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computing machine or other programmable devices is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (10)
1. a method for recommendation information, is characterized in that, comprising:
Obtain the positional information of user;
Mate with the user model set up in advance according to described positional information, determine the characteristic information of described user;
Corresponding recommendation information is sent to described user according to described characteristic information.
2. the method for claim 1, is characterized in that, described user model is obtained by following manner:
Obtain the positional information of multiple user and the characteristic information of described multiple user;
According to the incidence relation of the positional information of described multiple user and the characteristic information of described multiple user, set up user model.
3. method as claimed in claim 1 or 2, it is characterized in that, described characteristic information comprises: personal attribute information and browse in terminal article information, comment the information of article, the information of accommodating articles and to article marking information in any one or multinomial user behavior information.
4. method as claimed in claim 2, it is characterized in that, after the positional information of the multiple user of described acquisition and the characteristic information of described multiple user, described method also comprises:
Region dividing is carried out in described actual geographic position;
For each user, determine the region belonging to described positional information of user;
The incidence relation of the characteristic information of the described positional information according to described multiple user and described multiple user, set up user model, comprising:
Region belonging to multiple user and characteristic information are added up, sets up user model.
5. the method for claim 1, is characterized in that, also comprises:
The characteristic information of the user in region described in periodic harvest;
Characteristic information according to the user in the region of described division and the described region of persistent collection constantly updates user model.
6. a device for recommendation information, is characterized in that, comprising:
First acquisition module, for obtaining the positional information of user;
Characteristic information determination module, for mating with the user model set up in advance according to described positional information, determines the characteristic information of described user;
Recommendation information sending module, for sending corresponding recommendation information according to described characteristic information to described user.
7. device as claimed in claim 6, it is characterized in that, described device also comprises:
Second acquisition module, for the characteristic information of the positional information and described multiple user that obtain multiple user;
User model sets up module, for the incidence relation according to the positional information of described multiple user and the characteristic information of described multiple user, sets up user model.
8. device as claimed in claims 6 or 7, it is characterized in that, described characteristic information comprises: personal attribute information and browse in terminal article information, comment the information of article, the information of accommodating articles and to article marking information in any one or multinomial user behavior information.
9. device as claimed in claim 7, it is characterized in that, described device also comprises:
Region dividing module, for carrying out Region dividing by described actual geographic position;
Position determination module, for for each user, determines the region belonging to described positional information of user;
User model sets up module also for adding up the region belonging to multiple user and characteristic information, sets up user model.
10. device as claimed in claim 6, is characterized in that, also comprise:
Collection module, for the characteristic information of the user in region described in periodic harvest;
Update module, constantly updates user model for the characteristic information according to the user in the region of described division and the described region of persistent collection.
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