CN104182495A - SNS location information matching method based on scenes - Google Patents
SNS location information matching method based on scenes Download PDFInfo
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- CN104182495A CN104182495A CN201410396573.0A CN201410396573A CN104182495A CN 104182495 A CN104182495 A CN 104182495A CN 201410396573 A CN201410396573 A CN 201410396573A CN 104182495 A CN104182495 A CN 104182495A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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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 provides an SNS location information matching method based on scenes. The method is characterized in that friend information of a user can be matched though data information processing; the candidate collection of a location interest point is selected by the user, data mining and analysis are performed on location storage information of the user and the friend through a cloud big data analysis system, so as to extract the data needed by the user. According to the method provided by the invention, when the user arrives at the location interest point of a real scene, the information of the friend arriving at the location can be seen when the user opens the moveable application program of a handheld device, so that the moving track between the friends can be known, and the function of the SNS can be enriched.
Description
Technical field
The present invention relates to a kind of means of communication, more particularly, relate to the friend information that a kind of bitcom can certain position interest points shows once in reality scene.
Background technology
Social networks (SNS) is derived from network social intercourse, and the starting point of network social intercourse is Email.Internet is exactly the networking between computing machine in essence, and early stage E-mail has solved the problem of long-range mail transmission, and it is also application the most universal on internet so far, and it is also the starting point of network social intercourse simultaneously.BBS more goes a step further, and " mass-sending " and " forwarding " normalization, has realized in theory to everyone and having released news and the function of discussion topic.Interpersonal exchange way has been expanded in the development of social networks, by virtual network, the people of real world is connected each other.
Along with the development of mobile Internet, the many elementary functions that all possessed the location-based services such as " share position ", " registering in position ", " station location marker " of present social networks.This class function application is that user utilizes handheld mobile device terminal mostly, initiatively input position information, then upload to network service end, recording user is described etc. at latitude and longitude coordinates and the word content of certain position.
In current correlation technique, disclosed at 2012-07-18, publication number is that China's invention " a kind of method for recommending social network position interest points based on scene " patent of 102594905A provides the personalized location recommend method in a kind of social networks based on reality scene, but the friend information that can not check once at position interest points between user and good friend, cannot realize information interaction.
Data mining generally refers to from a large amount of data and is hidden in the wherein process of information by algorithm search, and by data mining, people can obtain needed hiding Info.Cloud computing, for the data mining of magnanimity and the complex data object facility that provides the foundation, is in particular in: the dynamic and telescopic computing power of cloud computing is that efficient mass data excavation brings possibility; The new data digging method research that under cloud computing environment, the swarm intelligence of mass participation is research cluster body wisdom provides environment; The service feature of cloud computing makes to become possibility towards popular data mining.
Summary of the invention
The technical problem to be solved in the present invention, be to provide a kind of social network position information matching method based on scene, by large data mining and analysis, realize in the time that user arrives certain position interest points of reality scene, open handheld mobile device application program and just can check the good friend of this position of arriving, make can understand behavior track to each other between good friend.
The technical problem to be solved in the present invention is achieved in that the social network position information matching method based on scene: described method specifically comprises the steps:
When step 11, user arrive a reality scene at every turn, the global position system GPS module of utilizing mobile intelligent terminal to provide, obtains longitude and the latitude coordinate of described user's current location;
Step 12, mobile intelligent terminal upload to application service end by the longitude of the described user's current location getting and latitude coordinate by network, real-time update user's positional information;
Step 13, on application server, create an address book system, in this address book system, be provided with good friend's relation list of user, described good friend's relation list comprises the subscribing relationship between good friend's grouping relation and user and good friend, described subscribing relationship is when the information as good friend has renewal at every turn, there is the user of subscribing relationship can receive this good friend's lastest imformation with it, and the friend information after upgrading is stored in address book system;
Step 14, application server obtain the good friend's relation list in described address book system, select the ordered good friend of user to inquire about its corresponding friend information;
Step 15, on application server, create a cloud data digging system, application server uploads to the friend information of inquiry described in user's positional information and step 13 in the lump and in cloud data digging system, carries out Data Matching;
Step 16, cloud data digging system send the result of Data Matching to server, and server returns to user by described result again, thereby checks the good friend of this position, makes can understand behavior track to each other between good friend.
Further, the process of described Data Matching, comprising:
Step 151, user set a radius of action R, taking the longitude of described user's current location and latitude coordinate as the center of circle, obtain the zone of action that radius is R, choose the whole position coordinateses that drop in this zone of action as candidate collection;
Step 152, the described friend information of uploading is carried out to coordinates regional analysis, filter out coordinate and drop on the data in candidate collection, the friend information of this zone of action of must arriving;
Step 153, user set a time interval, filter out again and drop on the data on time interval described in this in data described in step 152, obtain coming the friend information of this zone of action in described time interval.
Further; the user's who uploads positional information and friend information are carried out data mining and analysis by described cloud data digging system; comprise user and good friend often movable position and the frequency of coming this position separately, be applicable to the analysis of batch data, improve treatment effeciency.
Tool of the present invention has the following advantages:
1, by processing data information, can mate user and friend information;
2, user and good friend's position storage information is carried out data mining and analysis by large data analysis system, and user need to be by data screening out for interchange according to oneself, makes can understand behavior track to each other between good friend.
Brief description of the drawings
The present invention is further illustrated in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the flowchart of the inventive method.
Embodiment
Refer to Fig. 1, a kind of social network position information matching method based on scene of the present invention, described method specifically comprises the steps:
Step 11, user arrive a reality scene (scenic spot or dining room) at every turn, and when position interest points, the global position system GPS module of utilizing mobile intelligent terminal to provide, obtains longitude and the latitude coordinate of described user's current location;
Step 12, mobile intelligent terminal upload to service end by longitude and the latitude coordinate of the described user's current location getting by network, real-time update user's positional information;
Step 13, on application server, create an address book system, in this address book system, be provided with good friend's relation list of user, described good friend's relation list comprises the subscribing relationship between good friend's grouping relation and user and good friend, described subscribing relationship is when the information as good friend has renewal at every turn, there is the user of subscribing relationship can receive this good friend's lastest imformation with it, and the friend information after upgrading is stored in address book system;
Step 14, application server obtain the good friend's relation list in described address book system, select the ordered good friend of user to inquire about its corresponding friend information;
Step 15, on application server, create a cloud data digging system, application server uploads to the friend information of inquiry described in user's positional information and step 13 in the lump and in cloud data digging system, carries out Data Matching, the user's who uploads positional information and friend information are carried out data mining and analysis by described cloud data digging system, comprise user and good friend often movable position and the frequency of coming this position separately, be applicable to the analysis of batch data, improve treatment effeciency;
Wherein, the process of described Data Matching, comprising:
Step 151, user set a radius of action R, taking the longitude of described user's current location and latitude coordinate as the center of circle, obtain the zone of action that radius is R, choose the whole position coordinateses that drop in this zone of action as candidate collection;
Step 152, the described friend information of uploading is carried out to coordinates regional analysis, filter out coordinate and drop on the data in candidate collection, the friend information of this zone of action of must arriving;
Step 153, user set a time interval, filter out again and drop on the data on time interval described in this in data described in step 152, obtain coming the friend information of this zone of action in described time interval.
Step 16, cloud data digging system send the result of Data Matching to server, and server returns to user by described result again, thereby checks the good friend of this position, makes can understand behavior track to each other between good friend.
Like this by setting-up time interval and candidate collection, user just can be according to oneself need to be by data screening out, open the friend information that the mobile applications of handheld device just can view once, make can understand behavior track to each other between good friend.
Although more than described the specific embodiment of the present invention; but being familiar with those skilled in the art is to be understood that; our described specific embodiment is illustrative; instead of for the restriction to scope of the present invention; those of ordinary skill in the art are in equivalent modification and the variation done according to spirit of the present invention, all should be encompassed in the scope that claim of the present invention protects.
Claims (3)
1. the social network position information matching method based on scene, is characterized in that, described method specifically comprises the steps:
When step 11, user arrive a reality scene at every turn, the global position system GPS module of utilizing mobile intelligent terminal to provide, obtains longitude and the latitude coordinate of described user's current location;
Step 12, mobile intelligent terminal upload to application service end by the longitude of the described user's current location getting and latitude coordinate by network, real-time update user's positional information;
Step 13, on application server, create an address book system, in this address book system, be provided with good friend's relation list of user, described good friend's relation list comprises the subscribing relationship between good friend's grouping relation and user and good friend, described subscribing relationship is when the information as good friend has renewal at every turn, there is the user of subscribing relationship can receive this good friend's lastest imformation with it, and the friend information after upgrading is stored in address book system;
Step 14, application server obtain the good friend's relation list in described address book system, select the ordered good friend of user to inquire about its corresponding friend information;
Step 15, on application server, create a cloud data digging system, application server uploads to the friend information of inquiry described in user's positional information and step 13 in the lump and in cloud data digging system, carries out Data Matching;
Step 16, cloud data digging system send the result of Data Matching to server, and server returns to user by described result again, thereby checks the good friend of this position, makes can understand behavior track to each other between good friend.
2. a kind of social network position information matching method based on scene according to claim 1, is characterized in that, the process of the Data Matching in described step 15, comprising:
Step 151, user set a radius of action R, taking the longitude of described user's current location and latitude coordinate as the center of circle, obtain the zone of action that radius is R, choose the whole position coordinateses that drop in this zone of action as candidate collection;
Step 152, the described friend information of uploading is carried out to coordinates regional analysis, filter out coordinate and drop on the data in candidate collection, the friend information of this zone of action of must arriving;
Step 153, user set a time interval, filter out again and drop on the data on time interval described in this in data described in step 152, obtain coming the friend information of this zone of action in described time interval.
3. a kind of social network position information matching method based on scene according to claim 1; it is characterized in that; the user's who uploads positional information and friend information are carried out data mining and analysis by described cloud data digging system; comprise user and good friend often movable position and the frequency of coming this position separately; be applicable to the analysis of batch data, improve treatment effeciency.
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| CN104462592A (en) * | 2014-12-29 | 2015-03-25 | 东北大学 | Social network user behavior relation deduction system and method based on indefinite semantics |
| CN104965878A (en) * | 2015-06-12 | 2015-10-07 | 微梦创科网络科技（中国）有限公司 | Method and device for carrying out user work unit digging based on grouped information |
| CN104965876A (en) * | 2015-06-12 | 2015-10-07 | 微梦创科网络科技（中国）有限公司 | Method and apparatus for carrying out mining on work units of users on basis of position information |
| CN106021490A (en) * | 2016-05-19 | 2016-10-12 | 中国地质大学（武汉） | Indoor peripheral position query system |
| CN106570762A (en) * | 2016-10-28 | 2017-04-19 | 珠海市魅族科技有限公司 | Method and apparatus for finding nearby friends |
| CN107092696A (en) * | 2017-04-27 | 2017-08-25 | 长沙军鸽软件有限公司 | A kind of method for actively initiating session |
| CN107688628A (en) * | 2017-08-21 | 2018-02-13 | 北京金堤科技有限公司 | The conventional packet construction method of relation group data and device |
| CN109035050A (en) * | 2018-07-25 | 2018-12-18 | 安徽新华学院 | A kind of location-based social recommendation system |
| CN110516017A (en) * | 2019-08-02 | 2019-11-29 | Oppo广东移动通信有限公司 | Location information processing method, device, electronic equipment and storage medium based on terminal device |
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Application publication date: 20141203 |