CN106921795A - A kind of contact data management method and its system - Google Patents
A kind of contact data management method and its system Download PDFInfo
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- CN106921795A CN106921795A CN201710071878.8A CN201710071878A CN106921795A CN 106921795 A CN106921795 A CN 106921795A CN 201710071878 A CN201710071878 A CN 201710071878A CN 106921795 A CN106921795 A CN 106921795A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72445—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality for supporting Internet browser applications
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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
- 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
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
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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
- H04L67/535—Tracking the activity of the user
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/26—Devices for calling a subscriber
- H04M1/27—Devices whereby a plurality of signals may be stored simultaneously
- H04M1/274—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc
- H04M1/2745—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc using static electronic memories, e.g. chips
- H04M1/27453—Directories allowing storage of additional subscriber data, e.g. metadata
- H04M1/27457—Management thereof, e.g. manual editing of data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72469—User interfaces specially adapted for cordless or mobile telephones for operating the device by selecting functions from two or more displayed items, e.g. menus or icons
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Abstract
The invention discloses a kind of contact data management method and its system.Wherein, methods described includes：In system client：A1, show corresponding with contact person aggregated data to user, the aggregated data includes：Life multidate information corresponding with contact person and contact data；The contact data at least includes contact person, the corresponding contact method of contact person；A2, at least part of aggregated data that the contact person with predetermined emotion value is pushed to user.In server end：B1, contact data of the reception from system client, and obtain life multidate information corresponding with contact person；B2, the life multidate information feeds back to the system client；B3, emotion tendency semantic analysis is carried out to the aggregated data, in calculating the emotion value that obtains corresponding relationship people and feeding back to the system client.The data managing method causes the more intelligent feature of address list, improves the degree of adhesion of user.
Description
Technical field
The present invention relates to address list technical field, more particularly to a kind of contact data management method and its system.
Background technology
The address list class application provided in existing Mobile solution market is all intended only as contact person's contact mostly
The storage instrument of mode, only rests on maintenance and excavates the local data stage.After being installed on intelligent mobile terminal, Yong Hutong
The operation that can often carry out is exactly that some data of contact person are increased, deleted, changed or retrieved etc. with shirtsleeve operation,
Contact person is for example searched for, message registration is checked, is sent short messages and is called.
The way to manage of such contact data is more single, cannot also provide more possible information to meet user
Requirement.For example before browsing contact person and calling, we cannot know the contact by cell phone address book APP completely
The other details information and recent state of people.
With continuing to develop for machine learning techniques, using all types of intelligent functions that related technology is realized, for example
More and more extensively, user is also increasingly wanted to obtain such some intelligent functions recommended engine etc., and raising is used just
Victory.But, existing address list is all simply passive to be used by a user, and intelligence degree is relatively low, it is impossible to meet user's
Use demand, improves the degree of adhesion of user.
Therefore, prior art is also to be developed.
The content of the invention
In view of above-mentioned the deficiencies in the prior art part, it is an object of the invention to provide a kind of contact data management method
And its system, it is intended to the intelligence degree for solving address list application in the prior art is low, it is impossible to meet the problem of user's request.
In order to achieve the above object, this invention takes following technical scheme：
A kind of contact data management method, wherein, including：
In system client：
A1, show corresponding with contact person aggregated data to user, the aggregated data includes：Life corresponding with contact person
Mobile Forms information and contact data；The contact data at least includes contact person, the corresponding contact method of contact person；
A2, at least part of aggregated data that the contact person with predetermined emotion value is pushed to user；
In server end：
B1, contact data of the reception from system client, and obtain life multidate information corresponding with contact person；
B2, the life multidate information feeds back to the system client；
B3, emotion tendency semantic analysis is carried out to the aggregated data, calculate and obtain the emotion value of corresponding relationship people simultaneously
In feeding back to the system client.
Described contact data management method, wherein, the step B1 is specifically included：
B11, using predetermined web crawlers and its page filtering rule, obtained according to url data corresponding with contact person
Initial data；
B12, by the initial data after filtering by field store in database；
B13, at interval of the predetermined time, update the initial data in the database.
Described contact data management method, wherein, methods described also includes：
In system client：
A01, the contact data for obtaining user input；
Whether A02, the inspection contact data meet preassigned；
A03, if it is not, reminding the complete contact data of user input.
Described contact data management method, wherein, the step A2 is specifically included：
A21, judge the emotion value of contact person whether within a predetermined range；
A22, emotion value is belonged to abnormal contact person in preset range in the way of pop-up or list top set show, to
User shows；
A23, the partially polymerized data that the abnormal contact person is pushed to user.
Described contact data management method, wherein, methods described also includes：
In system client, according to the social relationships of contact person, corresponding session data calculate the corresponding parent of the contact person
Density；
The step B3 is specifically included：
B31, according to the life multidate information, text emotion total value and value of being emotionally stable are calculated respectively；The text feelings
Sense total value is used to represent the Sentiment orientation of contact person, and the value of being emotionally stable is for representing the change ripple of the text emotion total value
Traverse degree
B32, the cohesion, text emotion total value and value of being emotionally stable feed back to the system client.
A kind of contact data management system, wherein, the system includes：System client and server end；
The system client includes：Display module, it is described for showing aggregated data corresponding with contact person to user
Aggregated data includes：Life multidate information corresponding with contact person and contact data；The contact data at least includes
Contact person, the corresponding contact method of contact person；And pushing module, for pushing the contact person with predetermined emotion value to user
At least part of aggregated data；
The server end includes：Life multidate information acquisition module, for receiving the contact person from system client
Data, and obtain life multidate information corresponding with contact person；Information feedback module, for the life multidate information to be fed back
Into the system client；And emotion value computing module, for carrying out semantic point of emotion tendency to the aggregated data
Analysis, in calculating the emotion value that obtains corresponding relationship people and feeding back to the system client.
Described system, wherein, the life multidate information acquisition module specifically for：
Using predetermined web crawlers and its page filtering rule, obtain original according to url data corresponding with contact person
Data；
Initial data after filtering is stored in database by field；And
At interval of the predetermined time, the initial data in the database is updated.
Described system, wherein, the system client also includes：Input module, the input module specifically for：
Obtain the contact data of user input；
Check whether the contact data meets preassigned；
If it is not, reminding the complete contact data of user input.
Described system, wherein, the pushing module specifically for：
Whether within a predetermined range to judge the emotion value of contact person；
Emotion value is belonged into abnormal contact person in preset range in the way of pop-up or list top set show, to user
Displaying；
The partially polymerized data of the abnormal contact person are pushed to user.
Described system, wherein, the pushing module specifically for：
According to the social relationships of contact person, corresponding session data calculate the corresponding cohesion of the contact person；
The emotion value computing module specifically for：
According to the life multidate information, text emotion total value and value of being emotionally stable are calculated respectively；The text emotion is total
It is worth the Sentiment orientation for representing contact person, the value of being emotionally stable is for representing the change fluctuation journey of the text emotion total value
Degree.
During the text emotion total value and value of being emotionally stable fed back into the system client.
Beneficial effect：The present invention provide contact data management method and its system, can to user simultaneously show with
The related life multidate information of contact person, using the teaching of the invention it is possible to provide more information.And specific computational algorithm is used, is fully excavated simultaneously
Network and local data are make use of, the state of contact person is quantified and be embodied as emotion value, and provide according to emotion value
Corresponding recommendation results so that the more intelligent feature of address list, improve the degree of adhesion of user.
Brief description of the drawings
Fig. 1 is the method flow diagram of contact data management method provided in an embodiment of the present invention；
Fig. 2 is the schematic diagram of address list Mobile solution provided in an embodiment of the present invention；
Fig. 3 is contact data backup provided in an embodiment of the present invention and synchronous method flow diagram；
Fig. 4 is the method flow graph of life multidate information acquisition methods provided in an embodiment of the present invention；
Fig. 5 is the use flow chart of address list Mobile solution provided in an embodiment of the present invention；
Fig. 6 is the functional block diagram of contact data management system provided in an embodiment of the present invention.
Specific embodiment
The present invention provides a kind of contact data management method and its system.For make the purpose of the present invention, technical scheme and
Effect is clearer, clear and definite, and the present invention is described in more detail for the embodiment that develops simultaneously referring to the drawings.It should be appreciated that herein
Described specific embodiment is only used to explain the present invention, is not intended to limit the present invention.
As shown in figure 1, being a kind of contact data management method provided in an embodiment of the present invention.The contact data pipe
Reason method is set up based on C/S frameworks, that includes system client (client) and server end (server), in two ends difference
Distribution performs certain function, and with respective database, safeguard and data update.
Wherein, in system client, following steps can be performed：
100th, aggregated data corresponding with contact person is shown to user.The aggregated data includes：It is corresponding with contact person
Life multidate information and contact data；The contact data at least includes contact person, the corresponding contact method of contact person.
The contact data refers to some data items generally comprised during existing communication is recorded, for example, contact name,
The phone of contact person, contact person address, social account of contact person etc..The life multidate information refers to and certain contact person's phase
Close, issued in social platform or other network platforms, the information with oneself life dynamical correlation, such as on microblogging
Microblogging, circle of friends dynamic of issue etc..
Above-mentioned aggregated data can specifically show on intelligent terminal in any suitable manner, such as shown in Fig. 2 being
A kind of exhibition method provided in an embodiment of the present invention, when certain contact person's business card of address list is clicked to enter, while showing it
The message issued in some social platforms.
110th, at least part of aggregated data of the contact person with predetermined emotion value is pushed to user.The emotion of the contact person
Value is calculated by server end.System client screens contact person and there are some abnormal according to some predetermined rules
The contact person of situation (for example contact frequency declines suddenly) prompts the user with, and keeps contacting between user and contact person.
Accordingly, following method and step can be performed in server end：
200th, the contact data from system client is received, and obtains life multidate information corresponding with contact person.
The contact data that received server-side is obtained can be stored in the database of server end, can so make to lead to
Letter record possesses certain backup functionality.
According to contact data, in the case where user authorizes, server end can automatically be obtained by suitable mode
Get the life multidate information of contact person.
210th, in the life multidate information being fed back into the system client.Feedback information can be using suitable number
Completed according to form, message is parsed by system client, then formed aggregated data and show to user.
220th, emotion tendency semantic analysis is carried out to the aggregated data, the emotion value of acquisition corresponding relationship people is calculated simultaneously
In feeding back to the system client.
Emotion tendency semantic analysis is a kind of machine learning mode, and opposite Mobile Forms information is quantified, is used to judge
The affective state of contact person is simultaneously embodied with the data of emotion value.Can specifically make such to complete in any suitable manner
Calculate.For example, can simply utilize that API service is provided by third party, emotion value is completed after text is uploaded and is calculated, it is also possible to
Using customized sentiment dictionary, emotion value calculating is carried out by specific algorithm, judge the tendency expressed by text.When
So, above-mentioned calculation is what the information type based on text message was completed.Therefore, in certain embodiments, can be with opposite
Image information, voice messaging in Mobile Forms information etc. are changed, and are converted to text message.
In embodiments of the present invention, in the case of having used C/S frameworks and having carried out reasonable distribution, effectively slow down
System client network and calculating pressure, improve the acquisition speed of target data.And store plan using two-stage data acquisition
Slightly, the requirement and consumption to client network are reduced, the flow consumption of user's intelligent terminal is reduced.Server database may be used also
To realize the backup and synchronization of customer group contact data, the integrality and safety of contact data are ensure that to a certain extent
Property.
System client and the respective database maintenance of server end and renewal process are specifically described below in conjunction with example：
Database firstly, for server end needs all contact person's essential informations for having uploaded of storage with them each
The text dynamic data of corresponding three social platforms and user associate the mapping relations between people.And system client
Database needs to store the essential information of local linkages people and the text dynamic data of their each self-corresponding three platforms.
1) user in system client except needing to store the essential information such as name, phone of oneself and local linkages people,
Oneself and social platform account information known to local linkages people can also be filled in, specifying information storage table is as shown in the table：
Name (Name), mhkc ID (TiebaId), the mhkc homepage URL of local linkages people are contained in the table
(TiebaUrl), microblogging ID (WeiboId), microblogging personal homepage URL (WeiboUrl), Renren Network ID (RenrenId), everybody
Net personal homepage URL (RenrenUrl), the cohesion of personal emotion value (Emotion_Value), the contact person and user in the recent period
(degree_of_intimacy) project such as.
User will generate the associated person information table, for recording local linkages when first time is using client application
The relevant information of people.When user is when the information of oneself is filled in, information record can be preserved into sharepreference files.
2) in server end, local linkages people and personal relevant information that data-base recording storage users upload, data
Table structure is as shown in the table：
| ID | Name | Tel | SourceId | TiebaUrl | WeiboUrl | RenrenUrl | Emotion_Value | IsUser |
| 1 | Zhang San | 1234567 | xxx | www.x.com | www.x.com | www.x.com | 32 | 1 |
| 2 | Li Si | 1245678 | xxx | www.x.com | www.x.com | www.x.com | 77 | 0 |
| 3 | King five | 7654321 | xxx | www.x.com | www.x.com | www.x.com | 87 | 0 |
Local linkages people and the relevant information of oneself of client user's upload are contained in the table.Including name of contact person
(Name), phone (Tel), unique identifier (Source_Id), mhkc personal homepage URL (TiebaUrl), microblogging personal homepage
Whether URL (WeiboUrl), Renren Network personal homepage URL (RenrenUrl), emotion value (Emotion_Value), it is client
The mark (IsUser) of user.
Source_Id is the unique identifier that system is each contact person generation, and the identification code is when user contacts this
During people's information upload first, the UUID that server end is generated according to current system information.Emotion_Value is that server leads to
Cross after semantic sentiment analysis are dynamically carried out to the social platform of the contact person and draw what data drew after respective algorithms are converted
Emotion value.IsUser be for identify the contact person whether be client user, i.e. user.
Server-side database also includes class contact person's social platform dynamically recording table, and the table structure is as shown in the table：
| ID | SourceId | TIME | ADDRESS | TITLE | CONTENT | IMG_URL | Socila_Platform |
| 1 | xxx | 2016/10/27 | www.x.com | 32 | 1 | Tieba | |
| 2 | xxx | 2016/10/27 | www.x.com | 77 | 0 | ||
| 3 | xxx | 2016/10/26 | www.x.com | 87 | 0 | Renren |
The table is used to record speech, the current intelligence of each contact person that server gets in three social platforms, field
Comprising contact person's unique identifier (Source_Id), (TIME) is delivered the time, deliver address or equipment (ADDRESS), deliver
Theme (TITLE), the word content (CONTENT) delivered, the URL (IMG_URL) of content picture, the classification of social platform
(Socila_Platform)。
In certain embodiments, in order to ensure the safety of user data and simplify the operation of user, can also be using service
The database at device end supports user ID local contact database according to synchronously, its concrete mode is as shown in Figure 3 with the play of contact number：
First, when user is first switched on using system client, client may require that user first fills in the individual of oneself
Personal data information, wherein telephone number are required item (S10).When this is to ensure that future, user uploaded data to server,
Server can determine that the unique identities of user and can set up the relation mapping table of each user and its local linkages people.Simultaneously should
Original contact data in mobile phone be imported with meeting.When user carries out contact person's addition, phone information is required item.
When user needs to back up local data, the backup button of main interface can be clicked on.Subsequent client meeting
Local data is communicated in the form of xml document stream by socket and is uploaded to server end, after received server-side to data,
When each contact person is added into database, can first detect in the associated person information whether comprising source_id (S20), such as
Fruit includes, then illustrate that the associated person information in database, if the contact person is user (S30), does not change data,
Otherwise change (S50).If not including source_id, server is one source_id of its generation, and by the contact person
Data are saved into database (S40).
It is identical with top-operation for user's its data.Then server can for upload user set up one with it is local
The relation mapping table of contact person, the table is user data backup index, and user uploads data every time, and server can all go to update and be somebody's turn to do
Table information.
For data syn-chronization：
Here data syn-chronization not only includes the essential information of the local linkages people of user, the also society comprising each contact person
Hand over platform multidate information.It is synchronous to include automatic synchronization and manual synchronization.Automatic synchronization is to keep a service on backstage using meeting,
In the case where network keeps normal connection, it can regularly send data syn-chronization and instruct to server, and server receives instruction
Afterwards, the user can be searched in database, the institute of all Related Contacts is got according to the relation mapping table mentioned before
There is a up-to-date information, and data are returned into relative client with the form of xml data flows, client carries out format analysis and by number
According to preserving to client database, manual synchronization is the data syn-chronization button that user is clicked in main interface, is realized with above
Function.
In certain embodiments, the step 200 is specifically included：
First, using predetermined web crawlers and its page filtering rule, obtained according to url data corresponding with contact person
Initial data；Then, the initial data after filtering is stored in database by field；Finally at interval of the predetermined time, more
Initial data in the new database.
Above-mentioned data only retain after a cycle and each crawler capturing is finished every time can all have been detected whether newly
Dynamic, is only added to database by new dynamic every time.So before the data for depositing the new cycle every time, all can be by legacy data
Emptied, so as to avoid producing data redundancy.
In the present embodiment, web crawlers is used to realize the acquisition for animation information.As shown in figure 4,
It is the workflow of the web crawlers：First, there is provided initial URL as information scratching portal site (step 310).So
Afterwards, the URL can be added into in the specific URL queues to be captured for crawling principle (step 320), and principle is crawled according to described
The corresponding pages (step 330) of corresponding URL are downloaded, and the page will have been captured is added to and captured in queue (step 340).Most
Afterwards, (step 350) in URL queues to be captured is added according to the new URL crawled on the page that will capture of strategy.
Comprising various, what is often used has depth-first traversal strategy, breadth first traversal strategy to web crawlers crawl policy
With backward chaining number strategy.In the present embodiment, depth and breadth first traversal strategy have been used.
In the present embodiment, the reptile framework WebCollector that increases income has been used.Correlation jar bags are imported in detailed programs
, developer therefore only need to provide URL and corresponding page filtering rule.Certainly, due to the data secret of social platform
Property, it is desirable to provide test account is simulated and logs in reach named web page, is then crawled according to corresponding dom trees and label
The page data specified.
Selection mode for URL, when user clicks to enter the information homepage of contact person in system client,
The social account information that client can extract the contact person in local data base is transferred to server end for the initial of reptile
URL。
If the social account information of the local not contact person, server end can according to the source_id of the contact person or
Telephone number is scanned for server database, the social account information of the contact person is searched whether, if it has, then using
Account information in server database, does not carry out the page otherwise and crawls.After reptile finishes according to filtering rule to page parsing,
Server end obtains data, and it is stored classifiedly by social platform.
In certain embodiments, the social platform can specifically include：Baidu's mhkc, Sina weibo and everybody
Net etc..
Wherein, for Baidu's mhkc, its animation information can include：Post time, mhkc name, model theme, note
Sub- content, reply object, reply content, due to the particularity of Baidu's mhkc, from the point of view of user's operating frequency, post and money order receipt to be signed and returned to the sender all
Significant proportion is account for, the dynamic data that contact person posts with money order receipt to be signed and returned to the sender can be recorded.
For Sina weibo, its animation information can include：Delivering time, dynamic word content, dynamic includes
Picture URL, the dynamic attention rate, attention rate here refer to the comment number of dynamic acquisition, obtain and praise number, share number etc.
Deng can be used to weigh significance level of the dynamic to contact person.
As shown in figure 5, being contact data management method provided in an embodiment of the present invention in address list Mobile solution
Use flow.During system client is used for the first time, system client can point out user input relevant information, obtain and use
The contact data of family input.Then, check the contact data whether meet preassigned (for example some Mandatory fields are
It is no complete).If it is not, reminding the complete contact data of user input.Certainly, during follow-up newly-increased contact person,
Above-mentioned inspection can be performed and step is reminded.
When user needs to carry out local information backup and synchronization, can be by clicking on the function in client main interface
Button assigns instruction, and client can be uploaded data to server according to instruction, server is parsed and searched
And storage, specific data are then returned into client, realize backup and data syn-chronization.
When user needs the specifying information for checking certain contact person, the contact item is clicked on, you can enter the contact person
Specifying information display interface, such as shown in Fig. 2, the interface can include the contact person essential information and three social platforms
Multidate information.When user enters the interface, client can upload the social home page URL of the contact person, when being transferred to service
After device, the URL can carry out data and crawl as the first-selected URL of the contact person, if the social account of the local not contact person
Information, server can be searched according to the unique identifier of the contact person in database, if there is the account of the contact person
Number information, then use the data in database.If do not had in database, data are not carried out and is crawled yet.
After social platform dynamic data is obtained successfully, server can be stored data, and simultaneously with xml character streams
Form return to client, client is parsed after receiving data, you can correctly shown on interface.In addition, server meeting
All Contacts' data in timing extraction database, and carry out social platform data and crawl, after getting data, data are carried out
After format analysis processing, sentiment analysis are carried out to the text data for getting using text semantic emotional orientation analytical method, then
Client is returned to data storage and simultaneously, client can be combined in intimate value and returned data obtained by local data calculating
Emotion value carry out the last state of comprehensive analysis local linkages people, and logarithm value exceed the contact person of preset range with pop-up or
The mode that list top set shows reminds user to pay close attention to.And the hot topic dynamic (dynamic of living in contact person can be pushed to user
Information).
In embodiments of the present invention, contact person's emotion degree that further comprises is carried out by server end is calculated and by system visitor
What family end was carried out, to user push particular contact the step of.It is presented below in conjunction with specific example：
In server end, specifically included according to the method that life dynamic message calculates contact person's emotion value：
According to the life multidate information, text emotion total value and value of being emotionally stable are calculated respectively；The text emotion is total
It is worth the Sentiment orientation for representing contact person, the value of being emotionally stable is for representing the change fluctuation journey of the text emotion total value
Degree.
The basis of the calculating is the emotional orientation analysis for text.In certain embodiments, in order to improve text point
The accuracy of analysis, it is possible to use the semantic API service (the gloomy Chinese semanteme API service of such as ripple) that third party provides.
It is mainly and for local data to be converted into json data forms, is asked to SENTIMENT_URL by sending post
The network address of expression, that is, complete the upload of data, and the subsequent online API of third party automatic can carry out semantic analysis to uploading data,
Then it is local that acquired results will be calculated with character string forms return, shape by jsonResponse.getBody () .toString
Formula is as follows：
[[0.8297396961046672,0.1702603038953328]]
Wherein first value represents that the text is the probability for expressing front mood, and second value represents that the text is negative expression
The probability of face mood.Two value and be 1, (positive probability-negative sense probability) can be used herein as this section of emotion of text
Value.Such emotion value fluctuation range is between [- 1,1].
In further embodiments, it is also possible to voluntarily build sentiment dictionary, as used Dalian University of Technology's emotion vocabulary book
The template that body builds as sentiment dictionary.Emotion is divided into 7 major classes：" pleasure ", " good ", " anger ", " sorrow ", " fearing ", " evil ", " frightened ".
After determining seven major class emotions, emotion intensity and complexity according to word continue subdivision in each major class, and often
Individual word all corresponds to the polarity marked with numerical value under each class emotion.It is right after the base attribute value that each word is determined
Text carries out grammer division.
The division of text sentence is not limited, according to grammer, sense-group or punctuation mark can, can difference is that
Vocabulary accurately is divided into, the sentiment dictionary of each word combined structure is then carried out into fraction calculating, drawing commenting for each word
, it is necessary to determine that the fraction of each word accounts for the weight of sentence emotion value according to part of speech after point, finally compute weighted to draw
Emotion value.
In the present embodiment, for the most ideal situation of each contact person, three social platform data are had.Its
In, each platform has a certain amount of data volume.Therefore, need to consider data source during the recent emotion value of people
Platform properties, the concerned degree of dynamic, dynamic deliver the time and dynamic delivers many factors such as frequency, its specific calculating process
It is as follows：
1) parameter for needing to use is as shown in the table：
2) parameter in above table, final emotion text total value W is calculated by following formula：
W=ΣX=(t, w, r)(P(x)·∑T=(1,2,3)C*(xt)·D(t))
For the value of being emotionally stable, its change degree of fluctuation for being used to represent the text emotion total value.Can pass through
Sentiment analysis value in contact person's unit period in three all text dynamic datas of social platform issue calculates standard deviation.
There is significant advantage in the fluctuation situation for describing one group of data in view of variance.Therefore, contact is calculated in selection
The standard deviation of the text dynamic sentiment analysis value of people is come the emotion fluctuation situation in the unit period for describing contact person：
Finally, the cohesion, text emotion total value and value of being emotionally stable are fed back into institute as the emotion value of contact person
In stating system client.
In system client, meeting calculates the cohesion between user and each contact person according to information such as message registrations, so
With reference to the emotion value comprehensive descision of each contact person of server end return, which contact person is that user needs to go concern in the recent period afterwards,
And active push is to user.
Wherein, calculating the corresponding cohesion of the contact person can specifically complete in the following way：
In order to weigh the cohesion of user and contact person, determine that the social relationships between user and contact person are essential.
Therefore we need user when contact person is added, it is necessary to for the contact person specifies and its social relationships.
In this embodiment, five kinds of social relationships of major class are set, is respectively：It is household, friend, colleague, conventional relationship, black
List.In order to embody their difference in the calculating of intimate angle value, computationally representative different coefficient values are set for it.This
In be referred to as social property coefficient value Q1, such as household (* 1), friend (* 0.95), colleague (* 0.9), common social relationships (*
0.85), blacklist (* -1).Wherein, Q1 accounts for the 60% of cohesion total value calculating.
Then referring to the local communicating data of client (talk times and the duration of call), for talk times, Ke Yishe
Determine coefficient value Q2, referred to as voice frequency coefficient value.The calculation of the value is：Q2=(the unit interval with particular contact
Interior talk times)/(the call total degree in the unit interval), Q2 account for cohesion total value calculating 20%.In the present embodiment, if
The fixed unit interval is one week, and call is referred to transfering to and accessed.
For the duration of call, coefficient value Q3, referred to as speech quality coefficient value are set.The calculation of the value is Q3=
(with the call total duration in the unit interval of particular contact)/(the call total duration in the unit interval), it is total that Q3 accounts for cohesion
The 20% of value calculating.
It is finally that cohesion W can calculate acquisition by following formula：
W=(0.6*10) * Q1+ (0.2*10) * Q2+ (0.2*10) * Q3
Its method for pushing can be：First, it is determined that whether within a predetermined range the emotion value of contact person；Then by emotion value
Belong to the abnormal contact person in preset range in the way of pop-up or list top set show, show to user；And to user
Push the partially polymerized data of the abnormal contact person.
In the present embodiment, contact person contains three kinds of different numerical value and is used to weigh emotion.User can be with unrestricted choice
Carry out specifying sortord to generate sorted lists by these three values, such as select to be sorted from high to low by cohesion, system meeting
Intimate angle value according to contact person in database sorts from high to low, and no matter selects which kind of order sorts, all can intimately
Degree carries out top set and shows more than the contact person of predetermined value.This mode free degree is higher, needs to check this when user is autotelic
During aspect situation, the result needed for being quickly supplied to user allows user to make corresponding selection, is linked up in need
Contact person make action.
In addition, internal system is designed with normal range (NR) boundary to these three values, comprehensive descision can be carried out to these three values,
Select some contact persons for needing most user's concern.For example, firstly the need of determine three class data reference priority (mood is steady
Definite value highest, emotion value is taken second place, and cohesion is last).
Then, system can first find out value of being emotionally stable more than a class people of normal range (NR), and emotion is found out in this kind of people
It is worth a relatively low class people beyond the mark, some positions to be pushed to user before finally selecting in this kind of people cohesion relatively low.
By such mode, the validity for pushing content is both can guarantee that, be unlikely to produce excessive data to give user again
Treatment, allows user to dislike.
After system client analyzes final result can immediately system prompt column or when user open apply when with
The mode of pop-up pushes these contact persons for being likely to occur abnormal state to user, and user just can click to enter their individual
People's information homepage carry out it is detailed check, it is then determined that whether needing to carry out phone or messaging communication.
The embodiment of the present invention additionally provides a kind of contact data management system.The system includes：System client and
Server end.
As shown in fig. 6, the system client includes：Display module 100, it is corresponding with contact person for showing to user
Aggregated data, the aggregated data includes：Life multidate information corresponding with contact person and contact data；The contact person
Data at least include contact person, the corresponding contact method of contact person；And pushing module 200, have in advance for being pushed to user
At least part of aggregated data of the contact person of inductance value of pledging love；
The server end includes：Life multidate information acquisition module 300, for receiving the contact from system client
Personal data, and obtain life multidate information corresponding with contact person；Information feedback module 400, for the life dynamic to be believed
Breath is fed back in the system client；And emotion value computing module 500, for carrying out Sentiment orientation to the aggregated data
Property semantic analysis, in calculating the emotion value that obtains corresponding relationship people and feeding back to the system client.
Specifically, the life multidate information acquisition module specifically for：Use predetermined web crawlers and its page mistake
Filter rule, initial data is obtained according to url data corresponding with contact person；Initial data after filtering is stored in number by field
According in storehouse；And at interval of the predetermined time, update the initial data in the database.
More specifically, as shown in fig. 6, the system client also includes：Input module 600, the input module is specific
For：Obtain the contact data of user input；Check whether the contact data meets preassigned；If it is not, remind using
Family is input into complete contact data.
In certain embodiments, the pushing module specifically for：Judge the emotion value of contact person whether in preset range
It is interior；Emotion value is belonged into abnormal contact person in preset range in the way of pop-up or list top set show, is shown to user；
The partially polymerized data of the abnormal contact person are pushed to user.
In further embodiments, the pushing module specifically for：According to the social relationships of contact person, corresponding session number
According to the corresponding cohesion of the calculating contact person；
The emotion value computing module specifically for：According to the life multidate information, text emotion total value is calculated respectively
With value of being emotionally stable；The text emotion total value is used to represent the Sentiment orientation of contact person, and the value of being emotionally stable is for representing
The change degree of fluctuation of the text emotion total value.The text emotion total value and value of being emotionally stable are fed back into the system visitor
In the end of family.
It is understood that for those of ordinary skills, can be with technology according to the present invention scheme and this hair
Bright design is subject to equivalent or change, and all these changes or replacement should all belong to the guarantor of appended claims of the invention
Shield scope.
Claims (10)
1. a kind of contact data management method, it is characterised in that including：
In system client：
A1, show corresponding with contact person aggregated data to user, the aggregated data includes：Life corresponding with contact person is dynamic
State information and contact data；The contact data at least includes contact person, the corresponding contact method of contact person；
A2, at least part of aggregated data that the contact person with predetermined emotion value is pushed to user；
In server end：
B1, contact data of the reception from system client, and obtain life multidate information corresponding with contact person；
B2, the life multidate information feeds back to the system client；
B3, emotion tendency semantic analysis is carried out to the aggregated data, calculate and obtain the emotion value of corresponding relationship people and simultaneously feed back
Into the system client.
2. contact data management method according to claim 1, it is characterised in that the step B1 is specifically included：
B11, using predetermined web crawlers and its page filtering rule, obtain original according to url data corresponding with contact person
Data；
B12, by the initial data after filtering by field store in database；
B13, at interval of the predetermined time, update the initial data in the database.
3. contact data management method according to claim 1, it is characterised in that methods described also includes：
In system client：
A01, the contact data for obtaining user input；
Whether A02, the inspection contact data meet preassigned；
A03, if it is not, reminding the complete contact data of user input.
4. contact data management method according to claim 1, it is characterised in that the step A2 is specifically included：
A21, judge the emotion value of contact person whether within a predetermined range；
A22, emotion value is belonged to abnormal contact person in preset range in the way of pop-up or list top set show, to user
Displaying；
A23, the partially polymerized data that the abnormal contact person is pushed to user.
5. contact data management method according to claim 1, it is characterised in that methods described also includes：
In system client, according to the social relationships of contact person, corresponding session data calculate the contact person corresponding intimate
Degree；
The step B3 is specifically included：
B31, according to the life multidate information, text emotion total value and value of being emotionally stable are calculated respectively；The text emotion is total
It is worth the Sentiment orientation for representing contact person, the value of being emotionally stable is for representing the change fluctuation journey of the text emotion total value
Degree；
B32, the text emotion total value and value of being emotionally stable feed back to the system client.
6. a kind of contact data management system, it is characterised in that the system includes：System client and server end；
The system client includes：Display module, for showing aggregated data corresponding with contact person, the polymerization to user
Data include：Life multidate information corresponding with contact person and contact data；The contact data at least includes contact
People, the corresponding contact method of contact person；And pushing module, for pushing the contact person with predetermined emotion value extremely to user
Small part aggregated data；
The server end includes：Life multidate information acquisition module, for receiving the contact data from system client,
And obtain life multidate information corresponding with contact person；Information feedback module, for the life multidate information to be fed back into institute
In stating system client；And emotion value computing module, for carrying out emotion tendency semantic analysis to the aggregated data, meter
In calculating the emotion value that obtains corresponding relationship people and feeding back to the system client.
7. system according to claim 6, it is characterised in that the life multidate information acquisition module specifically for：
Using predetermined web crawlers and its page filtering rule, initial data is obtained according to url data corresponding with contact person；
Initial data after filtering is stored in database by field；And
At interval of the predetermined time, the initial data in the database is updated.
8. system according to claim 6, it is characterised in that the system client also includes：Input module, it is described defeated
Enter module specifically for：
Obtain the contact data of user input；
Check whether the contact data meets preassigned；
If it is not, reminding the complete contact data of user input.
9. system according to claim 6, it is characterised in that the pushing module specifically for：
Whether within a predetermined range to judge the emotion value of contact person；
Emotion value is belonged into abnormal contact person in preset range in the way of pop-up or list top set show, to user's exhibition
Show；
The partially polymerized data of the abnormal contact person are pushed to user.
10. system according to claim 6, it is characterised in that the pushing module specifically for：
According to the social relationships of contact person, corresponding session data calculate the corresponding cohesion of the contact person；
The emotion value computing module specifically for：
According to the life multidate information, text emotion total value and value of being emotionally stable are calculated respectively；The text emotion total value is used
In the Sentiment orientation for representing contact person, the value of being emotionally stable is for representing the change degree of fluctuation of the text emotion total value；
During the text emotion total value and value of being emotionally stable fed back into the system client.
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