CN107291841A - A kind of method and system based on position and the social target of user's portrait intelligent Matching - Google Patents
A kind of method and system based on position and the social target of user's portrait intelligent Matching Download PDFInfo
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- CN107291841A CN107291841A CN201710401245.9A CN201710401245A CN107291841A CN 107291841 A CN107291841 A CN 107291841A CN 201710401245 A CN201710401245 A CN 201710401245A CN 107291841 A CN107291841 A CN 107291841A
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
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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
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Abstract
" a kind of method and system that the social target of intelligent Matching is carried out based on position and user's portrait ", using the system, terminal user can pass through related mobile phone application software（APP）Log in and search in certain position regional extent and oneself characteristic matching degree（Match index）It is high or complementary（Complementation index）High social target；Meanwhile, on the premise of user allows and ensures user information safety, system can be actively to user or social network sites recommended user's characteristic matching degree height or complementary high social target.The system main composition has：Autonomous service interaction interface, open interface, user's portrait intelligent Matching module, Generalization bounds repository, classification scoring define information bank, characteristic key analysis module, user's representation data platform etc..
Description
Technical field
Software development, mobile network, big data, proposed algorithm, data mining, user's portrait, behavioural analysis, tag library.
Background technology
User draws a portrait（User Profile）Also known as user role (Persona), is the virtual representations of real user, according to
The investigation of the difference of the target of user, behavior and viewpoint is gone to understand user, and they are divided into different types, then per species
Characteristic feature is extracted in type, the description such as name, photo, some demography key element, scenes is assigned, is formed a people
Thing prototype, i.e. user role.
As a kind of effective tool for delineating targeted customer, contact user's demand and design direction, user draws a portrait in reality
Often the attribute of user, behavior, custom are coupled with expecting with the most plain and closeness to life language during operation
Get up, and the user model of the labeling taken out according to these information, i.e., labeled " " to user.It is fast by internet
Fast influence on development, obtained user is analyzed by user's internet behavior and is drawn a portrait in precision marketing, user's statistics, data mining, production
Product design, business applys in terms of managing, for example, apply on currently a popular sequencing advertisement is merchandised, and can allow enterprise
Marketing is more accurate, effectively improve business conversion ratio.Generally, user behavior analysis to user behavior mainly by monitoring what is obtained
Data are analyzed, can allow enterprise in further detail, the behavioural habits of user are well understood so that find out website, promote canal
The problem of enterprise marketing environment such as road is present.
Substantial amounts of interaction data have recorded detailed user behavior characteristic information in common carrier network, particularly move
, can be neatly from user's base attribute with reference to O domains and B numeric field datas in communication network（Subscriber Number, real-name authentication information
Deng）, business using, enliven the various dimensions such as position, terminal are used, focus is searched for, user perceives and build user full view and draw a portrait, have
Effect is set up various dimensions user tag storehouse and periodically upgraded in time.
At present, global each common carrier or Internet firm all pay much attention to the construction in each dimension user tag storehouse, and
Constantly utilize the efficiency and matter of the skill upgrading data acquisitions such as big data and data mining, storage, computing, analysis modeling and decision-making
Amount, but precision marketing aspect is principally dedicated in application personal user's application in user tag storehouse at present, play in other respects
It is less.To lift the data value in Mobile Network Operator user tag storehouse and answering scope, the present invention proposes a kind of based on position
User's portrait carries out the method and system of the social target of intelligent Matching, can provide a kind of based on the band of position in real time for terminal user
And the intelligent recommendation service of social targeted customer's characteristic matching, or the real-time user characteristics matching letter of friend-making sites offer
Breath.
Because the user tag storehouse information that the system is used is by a large number of users behavioral data statistics fortune in real network
Calculate and obtain, therefore possess the feature letter that user oneself uploads in certain objectivity, contrast friend-making sites to user feature analysis
Breath is more for confidence level；In addition, the system conceals user's specific address, name, phone number during matching user characteristics
The sensitive informations such as code, possess privacy of user protection security setting.
The content of the invention
The present invention proposes a kind of method and system that the social target of intelligent Matching is carried out based on position and user's portrait.Utilize
The system, terminal user can pass through related mobile phone application software（APP）Log in and search in certain position regional extent with from
Own characteristic matching degree（Match index）It is high or complementary（Complementation index）High social target；Meanwhile, allow and ensure in user
On the premise of user information safety, system can be actively to user or social networking application（Website may some limitations）Recommend to use
The social target that family label characteristics matching degree is high or complementarity is high.
System main composition has：Autonomous service interaction interface, open interface, user's portrait intelligent Matching module, recommendation plan
Slightly repository, classification scoring define information bank, characteristic key analysis module, user's representation data platform.System main modular
Fig. 1 referring to Figure of description is constituted, concrete operating principle is described as follows：
1. Self-Service interactive interface（Mobile phone terminal service software APP or Web page etc.）
（1）Service account is registered：To be ready that the user of turn up service provides registration login page, intelligent is provided to receive system
Service with social target.
（2）Scope circle is selected：User can enclose the park feature selected certain geographic range and select friend-making target on map
（Such as：Resident, visiting, all etc.）.
（3）Feature selecting：User is provided the various features of portrait（Or label）Screening and filtering is carried out to user, also can be direct
System help selection is given, is found and oneself characteristic matching degree height or the social targets of complementary high TopN.User can be big to 7 special
Levy（Culture, economy, face value, health, reference, personality, hobby）Selected and by giving characteristic key analysis module to correlation
The business of networking content and traffic volume measurement of feature calculate " intensity index " of the respective feature of two users.The expression of 7 big features
Method and the following form of appraisal procedure：
| Feature name | Method for expressing | Appraisal procedure |
| Culture | It is high, medium higher, medium, general, It is low, or scale scoring etc. | By distinguish occupation, career field, reading content, attentinal contents, APP carries out comprehensive descision using data such as durations |
| It is economical | It is excellent, good, in, general, or scale scoring Deng | Pass through communication cost set meal, brand concern, residence, consumption field The data such as institute, trip feature, terminal models carry out comprehensive descision |
| Face value | It is excellent, good, in, general, or scale scoring Deng | By the way that user's upload pictures are carried out with image recognition, and upload The data such as height and weight carry out comprehensive descision |
| Health | It is excellent, good, in, general, or scale scoring Deng | By accessing user's walking data of third-party application, ride APP Data, travelling APP data etc. carry out comprehensive descision |
| Reference | Reference score value | Registered, in net duration by user's set meal, arrearage record, real name Situations such as be estimated. |
| Personality | Optimistic, gentle, festivals or holidays are active, save Holiday residence man | APP uses liveness, trip liveness, dynamic operation track etc. Data carry out comprehensive descision |
| Hobby | Such as main business tagging arrangements：Depending on Frequently, tourism, shopping, cuisines, motion, Game, music, reading, news, chess Board, financing, and show rulers scoring | By the use duration for calculating user's all kinds of business for a period of time （Or portfolio）Threshold value contrast with setting is given a mark, or The average level contrast of person and the whole network user are given a mark |
（4）Actively recommend：On the premise of user allows and ensures user information safety（Such as can be by user's selection when recommended
Whether the sensitive informations such as cell-phone number, name are hidden）, system provided to user terminal application（Or the third-party application of access）Recommend
The social target information of matching, such as matching assessment result（7 big features " match index ", hobby " intensity index "）, account name（Or
The pet name）, head portrait etc..
（5）Instant messaging：System be supplied to user with recommend social target engage in the dialogue, leave a message, send media file,
For functions such as head portrait thumb ups.
（6）Recommendation score：System provides the user the result feedback function whether effective to the social target of recommendation.
2. open interface（Api, SDK etc.）
（1）Recommendation service：Open system recommendation service interface, third-party application can be called by the interface, incoming to work as
Preceding customer location, Subscriber Number and circle select the parameters such as scope, you can obtain the social target recommendation list matched with the user.
（2）Application data access service：Open system data access service interface, third-party application can pass through the interface
Application data is uploaded, in the social target of intelligent Matching third-party application data can be used to carry out comprehensive analysis matching.
3. characteristic key analysis module
The module is mainly provided to be identified by user（Such as：Subscriber phone number）, call user's representation data platform interface to obtain
To the user's portrait and characteristic of the user, load classification scoring defines the classifying rules and standards of grading of information bank, and ties
Close business tine and traffic volume measurement data are calculated the intensity index of feature.
The intelligent Matching module 4. user draws a portrait
The module obtains the Figure Characteristics and intensity index data of active user by characteristic key analysis module, and circle selects model
The Figure Characteristics and intensity index data of other interior targeted customers are enclosed, and combine both data and are analyzed, are directed to
Match index, complementation index to portrait are calculated and association analysis matching, and combine the recommendation score result of user feedback
Comprehensive analysis is carried out, the result of matching is according to specific rule（Rule is obtained by Generalization bounds repository）It was ranked up
Filter, returns to interactive interface by matching result, suitable destination object is recommended into user.
5. Generalization bounds repository
The repository is mainly used to define and stores Generalization bounds rule, including：User's selection matching range configuration（As user can
The matching range threshold value of selection）, Generalization bounds（Similitude or complementarity）, ordering rule, filtering rule, TopN set etc., and
Comprehensive analysis is carried out for user's portrait intelligent Matching module Generalization bounds rule.
6. classification scoring defines information bank
The information bank mainly stores the classification information and standards of grading of feature.Such as culture：In the code of points of definition culture（High,
In, it is low）When, it is necessary to amount of reading and content are estimated and classified, such as often access literary works, economic weekly, paper etc.,
It is classified as the high culture of judge and pays the utmost attention to factor；As liked：Defining the code of points of travel enthusiasts（Have deep love for, be interested in, it is relevant
Note etc.）When classify, it is necessary to access content to it, such as often access tour site, trip ticket booking, access tourism magazine weekly
Etc. information be classified as tourism have deep love for degree optimization Consideration..The information bank stores the assessment side for defining 7 big characteristic strength indexes
Method.Such as " culture " feature accesses the frequency accounting of literature, economic class, news category, scientific and technological class website or column by calculating.
Standards of grading are as follows：
The frequency accounting 80% and the above for accessing literature website are 5 points, and 60%-80% is 4 points, and 40%-60% is 3 points, 20%-40%
For 2 points, 0-20% is 1 point；
The frequency accounting 80% and the above for accessing economic class website are 5 points, and 60%-80% is 4 points, and 40%-60% is 3 points, 20%-40%
For 2 points, 0-20% is 1 point.
Etc. these scoring definition as described above, these comprehensive regular scorings divide for the method for expressing of " culture " this attribute
Class for it is high, medium it is higher, in, it is general, low.Characteristic key analysis module carries out the intensity of feature by loading the information base data
Index is calculated.
7. user's representation data platform
User is drawn a portrait and characteristic is mainly derived from：Information resource database（Sex, age bracket etc.）, user behavior and trace information
Storehouse（Using set meal, behavior, longitude and latitude are accessed, user's running orbit resides position etc.）, traffic statistics storehouse（ARPU, stream
Amount distribution, access duration, access frequency etc.）, mobile network's signaling platform（Single, location updating is single in detail in detail for calling and called signaling, switch
The interface online such as detailed list, S1-U/GB/IUPS/ is single etc. in detail）, third-party application database（Ride data, order data, walking number
According to etc.）.
Brief description of the drawings
Fig. 1 is feature intelligent matching system main modular composition schematic diagram.
Fig. 2 is the service application process schematic of feature intelligent matching system.
Embodiment
Below by example in detail embodiment.Here social target is applied to the system of the present invention to recommend
The business processing flow of scene is illustrated, and selected example is only used for explaining the present invention, is not intended to limit the present invention's
Scope.Feature intelligent matching system recommends the business processing flow of social target referring to Fig. 2 of Figure of description, and detailed process is said
It is bright as follows：
Step 1：User submits matching request, and content includes subscriber phone number, and user's real-time position information encloses the geography of choosing
Range information（Such as：5 km etc.）, and user's social target signature of interest（Such as：Music interest, tourism hobby etc.）.
Step 2：Characteristic key analysis module receives the matching condition of user's submission, can be divided into following two steps and enter
Row retrieval:
A. according to active user's phone number, by user's representation data platform obtain Figure Characteristics that the user met and
The traffic volume measurement situation of each feature.
B. according to the real-time position information of active user, the geographic range of circle choosing, obtained by user's representation data platform
The information and Figure Characteristics of other users in the range of this, and each 7 big FEATURE service amount statistical conditions of user.
Characteristic key analysis module is by loading traffic volume measurement data, and load classification scoring defines the rule of information bank
Then data, calculate " intensity index " of 7 big characteristic attributes of drawing a portrait, such as can analyze use from the statistics of business of networking classification
There is principal character label in the hobby feature at family：Game, chess and card, motion, tourism, shopping, cuisines, music, video, photograph, read
Reading, news, financing etc.；The label " intensity index " of music-lover can be according in the same period, and the user accesses music net
The flow stood accounts for the accounting of user's total flow（Or duration accounting, clicking rate accounting）It is estimated；Can also be according to the user
Music site average discharge is accessed with full dose user（Or average duration, average click-through rate）Difference be estimated.
The characteristic of user's representation data platform is answered from mobile network's signaling platform, information resource database, third party
Use database.Wherein：
1）Mobile network's signaling platform is used for the interaction data bag for gathering each equipment room in mobile network（XDR）And carry out Packet analyzing
（DPI）, wherein XDR includes circuit domain（CS domains）And data field（Ps domain）Chain of command and user's plane signaling are single in detail（Such as：Calling and called
Single, location updating is single in detail in detail, the online of the interface such as list, S1-U/GB/IUPS/ is detailed single in detail for switching for signaling）, the significant data after parsing
Deposit in the database in signaling platform, wherein important data include six key elements of each user behavior online, such as：When
Between, place, terminal iidentification IMEI, cell-phone number, content, result；
2）Information resource database is mainly used in storage cell data base, end message storehouse, user information database and business identification storehouse.Cell
Database：Including information such as cell ID, title, network type, cover type, longitude and latitude, covering scene, administrative area, districts and cities；
3）Third-party application database is mainly used in storing third-party application data, data of such as riding, order data, walking number
According to the information such as tourism app data.
Step 3：The policy rule information in user's portrait intelligent Matching module loading Generalization bounds storehouse, is obtained using similar
Property characteristic attribute and complementary characteristic attribute（Personality, hobby）, and TopN configuration information.
User's portrait intelligent Matching module is matched by loading Step 1 with Step 2 retrieval with analysis result.
The matching algorithm of the module can carry out matching primitives according to the intensity index of feature, obtain match index result（That is both phase
Like degree）.If matched using complementary strategy, need that equivalent conversion will be carried out with complementary feature（Such as：
" active ", the equivalence of intensity index 5 is in " containing ", intensity index 5）.Two object similarities use vector space cosine similarity
Mode calculated, calculate the similarity degree between user, the value of measuring similarity is smaller, similarity is got between illustrating user
Small, the bigger explanation user's difference of value of similarity is bigger.User is converted to the feature of user to the favorable rating of various things, so
The characteristic vector between user calculates cosine similarity afterwards.Two vectorial angle cosine values in cosine similarity vector space
It is used as the size for weighing two user's difference.Cosine value indicates that angle closer to 0 degree closer to 1, that is, two vectors are got over
Similar, this is just cried " cosine similarity ".And the formula for calculating user's cosine similarity is：
Assuming that intensity indexs of the user a to physical culture（That is preference）For 2, to the intensity index of music for 3, i.e. a feature to
Measure and be（2,3）, i.e. X1=2, Y1=3.And user b is 5 to the intensity index of physical culture, the intensity index to music is 1, then b spy
Levying vector is（5,1）, i.e. X1=5, Y1=1, then substituting into formula above just can calculate user a and b cos (θ) value, that is,
Match index（That is similarity）.
By being obtained after calculating in active user and scope（Such as: 5 km）Other users all match indexes（It is similar
Degree）, then result is ranked up and obtains match index highest TopN, and returns result to user or social networking application.
Claims (6)
1. a kind of method and system that the social target of intelligent Matching is carried out based on position and user's portrait, it is characterised in that：This is
System is main to be configured by autonomous service interaction interface, characteristic key analysis module, user's portrait intelligent Matching module, Generalization bounds
Storehouse, open interface, classification scoring define the composition such as information bank, user's representation data platform, and the terminal user of the system can pass through
Related mobile phone application software（APP）Log in and search in certain position regional extent and oneself characteristic matching degree（Match index）
It is high or complementary（Complementation index）High social target；Meanwhile, on the premise of user allows and ensures user information safety, it is
System can actively to user or（Social networking application, social network sites may limit to a little）Recommended user's label characteristics matching degree is high
Or complementary high social target.
2. autonomous service interaction interface as claimed in claim 1, it is characterised in that：Can be by mobile phone terminal service software（APP）Or Web
The interactive form of the page provides the user service account registration, the choosing of scope circle, actively feature selecting, the function such as recommendation, wherein：Model
Enclosure choosing, which refers to enclose on map after the User logs in service software, to be selected certain geographic range and selects being resident for friend-making target
Feature（Such as：Resident, visiting, all etc.）；Feature selecting, which refers to user, can voluntarily select the various features of friend-making target（Or mark
Label）Screening and filtering is carried out, Systematic selection also can be directly given, found and oneself characteristic matching degree height or complementary high TopN societies
Hand over target；Actively recommend to refer on the premise of user allows and ensures user information safety（Hide the sensitive letter such as cell-phone number, name
Breath）, system provides a user（Or the third-party application of access）Recommend the social target information of matching, such as matching assessment result（7
Big feature " match index ", hobby " intensity index "）, account name（Or the pet name）, head portrait etc..
3. feature selecting as claimed in claim 2, it is characterised in that：User can be to 7 big features（It is culture, economy, face value, strong
Health, reference, personality, hobby）Carry out business of networking content and industry of the selection Bing Jiao Give characteristic key analysis modules to correlated characteristic
Business amount statistics calculates " intensity index " of the respective feature of two users.
4. characteristic key analysis module as claimed in claim 1, it is characterised in that：The module can be identified by user（Such as：With
Family phone number）User's representation data platform interface is called to get the user's portrait and characteristic of the user, load classification
Classifying rules and standards of grading that information bank is defined are defined, and combine the intensity of business tine and traffic volume measurement data to feature
Index is calculated.
The intelligent Matching module 5. user as claimed in claim 1 draws a portrait, it is characterised in that：Obtained by characteristic key analysis module
The Figure Characteristics and intensity of other targeted customers in the range of the Figure Characteristics and intensity index data of active user, and circle choosing
Exponent data, and analyzed with reference to both data, it is directed to count " match index ", " complementation index " of portrait
Calculate and association analysis, and combine the recommendation score result of user feedback and carry out comprehensive analysis, the result of matching is according to specific rule
Then（Rule is obtained by Generalization bounds repository）Filtering is ranked up, interactive interface is returned result to.
6. Generalization bounds repository as claimed in claim 1, it is characterised in that：For defining and storing Generalization bounds rule,
Including：The configuration of user's selection matching range, Generalization bounds（Similitude or complementarity）, ordering rule, filtering rule, TopN set
Deng, and carry out comprehensive analysis for user's portrait intelligent Matching module Generalization bounds rule.
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