CN104111926A - Generation method and generation device for attention recommending list of address book - Google Patents
Generation method and generation device for attention recommending list of address book Download PDFInfo
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- CN104111926A CN104111926A CN201310133007.6A CN201310133007A CN104111926A CN 104111926 A CN104111926 A CN 104111926A CN 201310133007 A CN201310133007 A CN 201310133007A CN 104111926 A CN104111926 A CN 104111926A
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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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- 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
- H04M1/2746—Sorting, e.g. according to history or frequency of use
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Abstract
An embodiment of the invention discloses a generation method and a generation device for an attention recommending list of an address book. The generation method includes the steps of acquiring name card information of contact persons in the address book and communication information of a user and the contact persons when a generation request of the attention recommending list is detected; determining actual business relationship between the user and the contact persons according to the acquired name card information of the contact persons and the acquired communication information of the contact persons; determining instant recommending values of the contact persons according to the acquired commendation information of the user and the contact persons as well as weighted value and heat value which are preset correspondingly to business relations between the user and the contact persons in the address book; sorting the instant recommending values of the contact persons in the address book so as to generate the attention recommending list of the address book. With the generation method, the attention recommending list can be generated, so that the user can conveniently and quickly find the contact persons to be paid attention to according to the generated attention recommending list.
Description
Technical field
The present invention relates to address list field, relate in particular to a kind of generation method and device that is applied to the concern recommendation list of address list.
Background technology
In the current information age, no matter when, where, people just can contact in time by information communication.And along with the appearance of the social platforms such as microblogging, micro-letter, as long as after paying close attention between user, just can understand at any time and pay close attention to the dynamic of people.Existing pass pouring functions mainly comprises two kinds of modes: the first, and after people's active searching, add and pay close attention to again; The second, social platform is bound mutually, monitors the people that is related and adds this social activity platform to recommend.Although above-mentioned two kinds of modes can reach to a certain extent, add the object of paying close attention to, it is extremely inconvenient that active searching operates user, and the way of recommendation of social platform is single, and recommend efficiency also not high.
Summary of the invention
The fundamental purpose of the embodiment of the present invention is to provide a kind of generation method of concern recommendation tables of address list, is intended to improve and recommends efficiency, facilitates user to find fast the contact person who needs concern.
For reaching above object, the embodiment of the present invention provides a kind of generation method of concern recommendation tables of address list, comprises the following steps:
Detect while paying close attention to recommendation tables generation request, obtain the card information of each contact person in address list and user and each contact person's communication information;
According to each obtained contact person card information and user and each contact person's communication information, determine user and each contact person's practical business relation;
Weighted value, the temperature value corresponding with business relations between contact person according to obtained user and each contact person's communication information and the address list user that sets in advance, determine each contact person's instant recommendation;
The instant recommendation that each contact person in address list is corresponding sorts, to generate the concern recommendation tables of address list.
The embodiment of the present invention also provides a kind of generating apparatus of concern recommendation tables of address list, comprising:
Acquisition of information module, for detection of when paying close attention to recommendation tables and generate request, obtains the card information of each contact person in address list and user and each contact person's communication information;
Business relations determination module, for according to each obtained contact person card information and user and each contact person's communication information, determines user and each contact person's practical business relation;
Recommendation computing module, for weighted value, the temperature value corresponding with business relations between contact person according to obtained user and each contact person's communication information and the address list user that sets in advance, determines each contact person's instant recommendation;
Order module, for sorting instant recommendation corresponding to each contact person of address list, to generate the concern recommendation tables of address list.
The embodiment of the present invention is by gathering contact person's card information and user and contact person's communication information, and it is carried out to weights calculating, to obtain the final recommendation of each contact person, and it is arranged to form according to order from big to small and pay close attention to recommendation tables, so that user can find the contact person who needs concern rapidly.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of generation method one embodiment of the concern recommendation tables in address list of the present invention;
Fig. 2 is the schematic flow sheet that sets in advance the step of business relations between user and contact person in address list and corresponding weighted value thereof, temperature value in Fig. 1;
Fig. 3 determines the schematic flow sheet of the step of the recommendation that each contact person is final in Fig. 1;
Fig. 4 is the high-level schematic functional block diagram of generating apparatus one embodiment of the concern recommendation tables of address list of the present invention;
Fig. 5 is the high-level schematic functional block diagram of business relations determination module in Fig. 4;
Fig. 6 is the high-level schematic functional block diagram of recommendation computing module in Fig. 4.
The realization of the object of the invention, functional characteristics and advantage, in connection with embodiment, are described further with reference to accompanying drawing.
Embodiment
Below in conjunction with Figure of description and specific embodiment, further illustrate technical scheme of the present invention.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
With reference to Fig. 1, generation method one embodiment of the concern recommendation tables of address list of the present invention has been proposed.The generation method of the concern recommendation tables of the address list of this embodiment comprises the following steps:
Step S110, set in advance in address list the business relations between user and contact person and corresponding weighted value, temperature value thereof;
With reference to Fig. 2, above-mentioned steps S110 further comprises:
Step S111, according to the card information of each contact person in address list and user and each contact person's communication information, determine the business relations between user and contact person;
For convenience of the management of address list, general user can divide into groups contact person to arrange in address list, for example working group, friend's group, relative's group etc.; In address list, also can record the associated person information of the relation that can embody user and contact person, appellation words such as " father ", " mother ".And user can contact by the contact person in call, note or other network social intercourse instruments and address list.Therefore, can analyze the card information of each contact person in address list and user and each contact person's communication information, to determine user and contact person's business relations.This communication information comprises that the voice frequency, message frequency, user of user and each contact person in a period of time are by the frequency that contacts between social platform and each contact person.For example, the QQ chat record number of sending out mutually, micro-creed number of sending out mutually, the microblogging number that forwards and comment on mutually etc.The business relations that set in advance contact person comprise: relationship, friends, customer relationship, QQ good friend relation, microblogging are listened relation, micro-letter good friend relation etc. mutually.
Step S112, according to user and each contact person's communication information, the corresponding hierarchical of definite business relations is arranged to weighted value and temperature value.
Weighted value is the weight coefficient that business relations are corresponding, temperature value between user and contact person to the temperature that contacts that should business relations.After determining business relations, just corresponding weighted value and temperature value can be set to definite business relations hierarchical.As shown in table 1 below.
Weighted value and temperature value that table 1. business relations and corresponding hierarchical thereof arrange
The content of above table 1 is example, and weighted value, temperature value that business relations and hierarchical thereof arrange all can arrange flexibly according to user's concrete condition, at this, does not limit.The business relations of QQ good friend relation of take are example, determine that QQ good friend relation can be by a lot of modes, and for example contact person is provided with the QQ number of oneself on backstage, and this QQ number be user the good friend of No. QQ of backstage binding, weighted value is made as 10; If contact person does not arrange oneself No. QQ on backstage, but user in local linkages people's card information remarks contact person's QQ number, and this number is user's QQ good friend, weighted value is made as 7; If the coupling of the cell-phone number in certain QQ good friend data of contact person's cell-phone number and user, weighted value is made as 8; If certain QQ good friend's of contact person's name and user the pet name or the fuzzy matching of remarks title, weighted value is made as 3.The message number that temperature value can send by QQ according to user and contact person, the access times in QQ space and reply number of times etc. and arrange.In addition, the weighted value that these business relations that set in advance are corresponding and temperature value can be for the default settings of system; Also can, for user is stored in storer after arranging flexibly as the case may be, for follow-up generation, pay close attention to recommendation tables and use; Can also need to generate interim setting while paying close attention to recommendation tables for user at every turn.
Step S120, detect when paying close attention to recommendation tables and generating request, obtain the card information of each contact person in address list and user and contact person's communication information;
Pay close attention to recommendation tables and generate request and can pass through user's control triggering for generating, cycle that also can arrange by user and clocked flip produces, certainly can also real-time triggering for generating, at this, do not limit.
Each contact person's card information refers to the various information that is recorded in each contact person in address list, in this card information, can comprise a plurality of fields, for example name, phone, mailbox, remarks etc.Therefore search the word that whether has expression " appellation " in name or remarks, or whether this address list divide into groups, can judge user and this contact person's relation, for example relationship, friends, customer relationship etc.And can also contact by various social platforms between user and each contact person, therefore, the relation between user and each contact person can also comprise that QQ good friend relation, microblogging listen relation, micro-letter good friend relation etc. mutually.Therefore,, when concern recommendation tables generation request being detected, can obtain the card information of each contact person in address list and user and contact person's communication information, to determine user and each contact person's business relations and corresponding weighted value, temperature value thereof.In one embodiment, one storer can be set, this storer is for storing all communication informations of user and each contact person's of address list card information, this communication information had both comprised user and contact person's call, short message, also comprised that user passes through various social platforms and contact person's interactive information.User backs up to storer by the card information of each contact person in the address list of storing in terminal, and all communication informations of user are also stored to storer.Therefore,, when concern recommendation tables generation request being detected, from storer, obtain corresponding information.In another embodiment, when concern recommendation tables generation request being detected, to terminal or other social platform transmissions, obtain request, to obtain each contact person's card information and all communication informations of user.
Get after each contact person's card information and all communication informations of user, from each contact person's card information, extract keyword, to obtain each contact person's the card informations such as name, contact method and remarks; And the keyword in each contact person's card information is mated with all communication informations of user, to obtain the communication information of each contact person in user and address list.In one embodiment, telephone number in all communication informations in the QQ good friend data of user's contact is consistent with the telephone number of certain contact person A in address list, determine that user and contact person A are QQ good friend relation, and obtain all information numbers of the QQ chat of user and this contact person A.In another embodiment, consistent with the telephone number of certain contact person in address list when the telephone number of user listens to certain microblogging account binding, definite user and this contact artificial microblogging and listen mutually relation.
Because the concern situation of each contact person in address list differs, some is concerned, therefore in order to improve the formation efficiency of paying close attention to recommendation tables, in the above-mentioned address list obtaining during each contact person's information, to filter out the contact person's that user paid close attention to information, and only retain the contact person's that user do not pay close attention to information.
Step S130, according to each obtained contact person card information and user and each contact person's communication information, determine the practical business relation between user and each contact person;
Owing to can recording a lot of information in contact person's card information, for example name, remarks, contact method etc.Extract the keyword in card information, if go out to represent the word of appellation in name, for example " father ", " daddy " etc., can determine that this contact person's business relations comprise relationship according to this appellation; Name, contact method, remark information in user and each contact person's communication information and extracted each contact person's card information are mated, obtain user and each contact person's practical business relation.If user, by the information of object and the information matches of contact person in address list of QQ, microblogging and micro-letter communication, can determine contact person's practical business relation.For example, certain good friend in the QQ good friend of user backstage binding, the telephone number recording in its friend information is consistent with the telephone number of certain contact person in user communication record, so user and this contact person are QQ good friend relations.
Step S140, weighted value, the temperature value corresponding with business relations between contact person according to user in user and each contact person's communication information, the address list that sets in advance, determine each contact person's instant recommendation;
With reference to Fig. 3, above-mentioned steps S140 comprises:
Step S141, the weighted value corresponding with business relations between contact person according to user in the address list setting in advance, obtain definite user instant weighted value corresponding with practical business relation between contact person; It is example that certain contact person's the microblogging of take is listened the business relations of relation mutually, between user and contact person, listens to mutually, known according to upper table 1, and the instant weighted value that this contact person's business relations " microblogging is listened relation mutually " are corresponding is 1.
Step S142, obtained user is mated with the practical business relation between contact person with definite user with each contact person's communication information, obtain user's communication information corresponding with practical business relation between contact person; With aforesaid microblogging, listen mutually that to close be example, obtain user's communication information corresponding with practical business relation between contact person, for example, between user and contact person, listen to mutually, and the microblogging number forwarding mutually within a period of time is 90.
Step S143, the temperature value corresponding with business relations between contact person according to user in the address list setting in advance, determine the rank at the communication information place that user is corresponding with practical business relation between contact person, then obtain instant temperature value corresponding to this rank; Known according to upper table 1, the instant temperature value that this contact person's business relations " microblogging is listened relation mutually " are corresponding is 10.
The instant weighted value of other business relations of above-mentioned contact person and instant temperature value also can obtain with reference to aforesaid coupling.At this, just repeat no more.
Step S144, sue for peace again after instant weighted value corresponding to each business relations of each contact person and instant temperature value are multiplied each other, obtain contact person's instant recommendation.
After instant weighted value corresponding to all business relations that obtain each contact person and instant temperature value, after instant weighted value corresponding to each business relations of contact person being multiplied each other with instant temperature value, sue for peace again, obtain each contact person's instant recommendation.For example, certain contact person's business relations comprise business relations 1, business relations 2, business relations 3, and the weighted value of business relations 1 correspondence is that R1, temperature value are H1, the weighted value of business relations 2 correspondences is that R2, temperature value are H2, and the weighted value that business relations are corresponding is that R3, temperature value are H3.Therefore, this contact person's instant recommendation is R1* H1+ R2* H2+ R3* H3.
Step S150, the instant recommendation of each contact person in address list is sorted, to generate the concern recommendation tables of address list.
To each contact person according to the instant recommendation of final acquisition by sorting from big to small, with by high the standing out of recommendation, so that user can pay close attention to recommendation tables according to this, find fast the contact person who oneself need to pay close attention to.
The embodiment of the present invention is by gathering contact person's card information and user and contact person's communication information, and it is carried out to weights calculating, to obtain each contact person's instant recommendation, and it is arranged to form according to order from big to small and pay close attention to recommendation tables, so that user can find the contact person who needs concern rapidly.
The address list of take below on mobile terminal is example, and the address list information that this mobile terminal is regularly gone up storage uploads onto the server, and before uploading, this mobile terminal must be through authentication login.This server also stores all communication informations of this mobile terminal, for example the call scenarios of user by mobile terminal and each contact person, net connection situation etc.Get the associated person information that stores friend's group in address list, user does not pay close attention to this contact person, and this contact person's name is " Zhang San ", and its telephone number is 13588888888, and mailbox is zhangs@163.com etc.And, getting the user that stores in server and this contact person's contact details and comprise: in a period of time, talk times is 10 times, the microblogging forwarding is mutually 70.Therefore according to the card information of contact person in address list and user and contact person's communication information, determine contact person's " Zhang San " all business relations and corresponding weighted value, temperature value thereof.Be specially, according to the card information of above-mentioned contact person in address list and user and contact person's communication information, the business relations of determining contact person Zhang San comprise that friends and microblogging listen relation mutually, then according to the content of table 1, can obtain the corresponding weighted value of business relations " friends " and temperature value is 20,3; Business relations " microblogging is listened relation mutually " corresponding weighted value and temperature value are 1,10.The instant recommendation that finally obtains contact person " Zhang San " is 20*3+1*10=70.
As mentioned above, each contact person's that user in address list is not paid close attention to instant recommendation is calculated, and then it is sorted from big to small by instant recommendation, generates and pays close attention to recommendation tables.
With reference to Fig. 4, corresponding said method embodiment, the present invention also proposes generating apparatus one embodiment of the concern recommendation tables of address list.The generating apparatus of the concern recommendation tables of the address list of this embodiment can be arranged in terminal, also can be arranged on server.And in the present embodiment, this generating apparatus is arranged on server, it comprises:
Acquisition of information module 110, for detection of when paying close attention to recommendation tables and generate request, obtains the card information of each contact person in address list and user and each contact person's communication information;
Business relations determination module 120, for according to each obtained contact person card information and user and each contact person's communication information, determines user and each contact person's practical business relation;
Recommendation computing module 130, for weighted value, the temperature value corresponding with business relations between contact person according to obtained user and each contact person's communication information and the address list user that sets in advance, calculates the instant recommendation that obtains contact person;
Order module 140, for sorting instant recommendation corresponding to each contact person of address list, to generate the concern recommendation tables of address list.
The method that sets in advance of above-mentioned business relations and corresponding weighted value, temperature value can be with reference to described in previous methods embodiment, and these business relations that set in advance and corresponding weighted value, temperature value can be system default settings; Also can be to be stored in storer after user arranges as the case may be and flexibly, for follow-up generation, pay close attention to recommendation tables and use; Can also need to generate interim setting while paying close attention to recommendation tables for user at every turn.Therefore, above-mentioned generating apparatus can also comprise that one arranges module, for according to each contact person's of address list card information and user and each contact person's communication information, determines the business relations between user and contact person; According to user and each contact person's communication information, the corresponding hierarchical of definite business relations is arranged to weighted value and temperature value.
Above-mentioned generating apparatus also can comprise a storer, for storing all communication informations of the user who sets in advance and each contact person's of address list card information.User backs up to storer by the card information of each contact person in the address list of storing in terminal, and all communication informations of user are also stored to storer.Therefore, described acquisition of information module 110, when concern recommendation tables generation request being detected, is obtained the card information of each contact person in address list and all communication informations of user from storer.In addition, acquisition of information module 110 also can, when concern recommendation tables generation request being detected, be obtained request to terminal or other social platform transmissions, to obtain each contact person's card information and all communication informations of user.Then, acquisition of information module 110 is extracted keyword from each contact person's card information, to obtain each contact person's the card informations such as name, contact method and remarks; And the keyword in each contact person's card information is mated with all communication informations of user, to obtain the communication information of each contact person in user and address list.In one embodiment, telephone number in all communication informations in the QQ good friend data of user's contact is consistent with the telephone number of certain contact person A in address list, determine that user and contact person A are QQ good friend relation, and obtain all information numbers of the QQ chat of user and this contact person A.In another embodiment, consistent with the telephone number of certain contact person in address list when the telephone number of user listens to certain microblogging account binding, definite user and this contact artificial microblogging and listen mutually relation.In addition, because the concern situation of each contact person in address list differs, some is concerned, therefore in order to improve the formation efficiency of paying close attention to recommendation tables, in the above-mentioned address list obtaining during each contact person's information, acquisition of information module 110 is also for filtering out the contact person's that user paid close attention to card information, and only retains the contact person's that user do not pay close attention to card information.
Further, with reference to Fig. 5, above-mentioned business relations determination module 120 comprises:
Information extraction unit 121, for extracting name, contact method, the remark information of each contact person's card information;
Business relations matching unit 122, for user and each contact person's communication information is mated with name, contact method, the remark information of extracted each contact person's card information, obtains user and each contact person's practical business relation.
Obtained in address list after each contact person's identity information and user and each contact person's communication information, 121 of information extraction unit are first extracted each contact person's the keyword of identity information and the keyword of user and each contact person's contact details, then business relations matching unit 122 mates name, contact method, remark information in user and each contact person's communication information and extracted each contact person's card information again, obtains user and each contact person's practical business relation.Concrete example can, with reference to the description of embodiment of the method above, just repeat no more at this.
Further, with reference to Fig. 6, above-mentioned recommendation computing module 130 comprises:
Weighted value obtains unit 131, for the weighted value corresponding with business relations between contact person according to the address list user who sets in advance, obtains definite user instant weighted value corresponding with practical business relation between contact person;
Temperature value obtains unit 132, for obtained user is mated with the practical business relation between contact person with definite user with each contact person's communication information, and the communication information that acquisition user is corresponding with practical business relation between contact person; The temperature value corresponding with business relations between contact person according to user in the address list setting in advance, determines the rank at the communication information place that user is corresponding with practical business relation between contact person, then obtains instant temperature value corresponding to this rank;
Recommendation computing unit 133 is sued for peace after instant weighted value corresponding to each business relations of each contact person multiplied each other with instant temperature value again, obtains contact person's instant recommendation.
Concrete computation process about recommendation can, with reference to described in previous methods embodiment, just repeat no more at this.
Finally, in 140 pairs of address lists of order module, each contact person, according to the instant recommendation of correspondence by sorting from big to small, with by high the standing out of recommendation, so that user can pay close attention to recommendation tables according to this, finds fast and oneself needs the contact person who pays close attention to.
The embodiment of the present invention is by gathering contact person's card information and user and contact person's communication information, and it is carried out to weights calculating, to obtain each contact person's instant recommendation, and it is arranged to form according to order from big to small and pay close attention to recommendation tables, so that user can find the contact person who needs concern rapidly.
The foregoing is only the preferred embodiments of the present invention; not thereby limit its scope of the claims; every equivalent structure or conversion of equivalent flow process that utilizes instructions of the present invention and accompanying drawing content to do; directly or indirectly be used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (12)
1. a generation method for the concern recommendation tables of address list, is characterized in that, comprises the following steps:
Detect while paying close attention to recommendation tables generation request, obtain the card information of each contact person in address list and user and each contact person's communication information;
According to each obtained contact person card information and user and each contact person's communication information, determine user and each contact person's practical business relation;
Weighted value, the temperature value corresponding with business relations between contact person according to user in obtained user and each contact person's communication information and the address list that sets in advance, determine each contact person's instant recommendation;
The instant recommendation that each contact person in address list is corresponding sorts, to generate the concern recommendation tables of address list.
2. the generation method of the concern recommendation tables of address list according to claim 1, is characterized in that, in described address list, user's weighted value corresponding with business relations between contact person, the method that sets in advance of temperature value comprise:
According to the card information of each contact person in address list and user and each contact person's communication information, determine the business relations between user and contact person; According to user and each contact person's communication information, the corresponding hierarchical of definite business relations is arranged to weighted value and temperature value.
3. the generation method of the concern recommendation tables of address list according to claim 2, it is characterized in that, described user and each contact person's communication information comprises: user and each contact person's voice frequency, message frequency, user are by the frequency that contacts between social platform and each contact person; Described according to each obtained contact person card information and user and each contact person's communication information, determine that the step of user and each contact person's practical business relation comprises:
Extract name, contact method, remark information in each contact person's card information;
Name, contact method, remark information in user and each contact person's communication information and extracted each contact person's card information are mated, obtain user and each contact person's practical business relation.
4. the generation method of the concern recommendation tables of address list according to claim 1, it is characterized in that, described weighted value, the temperature value corresponding with business relations between contact person according to user in obtained user and each contact person's communication information and the address list that sets in advance, determine that the step of each contact person's instant recommendation comprises:
The weighted value corresponding with business relations between contact person according to user in the address list setting in advance, obtains definite user instant weighted value corresponding with practical business relation between contact person;
Obtained user is mated with the practical business relation between contact person with definite user with each contact person's communication information, obtain user's communication information corresponding with practical business relation between contact person;
The temperature value corresponding with business relations between contact person according to user in the address list setting in advance, determines the rank at the communication information place that user is corresponding with practical business relation between contact person, then obtains instant temperature value corresponding to this rank;
After instant weighted value corresponding to each business relations of each contact person multiplied each other with instant temperature value, sue for peace again, obtain contact person's instant recommendation.
5. the generation method of the concern recommendation tables of address list according to claim 1, it is characterized in that, described detecting while paying close attention to recommendation tables generation request, the step of obtaining the card information of each contact person in address list and user and each contact person's communication information comprises:
Detect while paying close attention to recommendation tables generation request, obtain the card information of each contact person in address list and all communication informations of user;
All communication informations of user are mated with each contact person's card information, obtain user and each contact person's communication information.
6. the generation method of the concern recommendation tables of address list according to claim 1, is characterized in that, described in when obtaining the card information of each contact person in address list, also comprise:
The contact person's that filtering user has paid close attention to card information, the contact person's that reservation user does not pay close attention to card information.
7. a generating apparatus for the concern recommendation tables of address list, is characterized in that, comprising:
Acquisition of information module, for detection of when paying close attention to recommendation tables and generate request, obtains the card information of each contact person in address list and user and each contact person's communication information;
Business relations determination module, for according to each obtained contact person card information and user and each contact person's communication information, determines user and each contact person's practical business relation;
Recommendation computing module, for weighted value, the temperature value corresponding with business relations between contact person according to obtained user and each contact person's communication information and the address list user that sets in advance, determines each contact person's instant recommendation;
Order module, for sorting instant recommendation corresponding to each contact person of address list, to generate the concern recommendation tables of address list.
8. the generating apparatus of the concern recommendation tables of address list according to claim 7, is characterized in that, described generating apparatus also comprises:
Module is set, for according to each contact person's of address list card information and user and each contact person's communication information, determines the business relations between user and contact person; According to user and each contact person's communication information, the corresponding hierarchical of definite business relations is arranged to weighted value and temperature value.
9. the generating apparatus of the concern recommendation tables of address list according to claim 8, is characterized in that, described business relations determination module comprises:
Information extraction unit, for extracting name, contact method, the remark information of each contact person's card information;
Business relations matching unit, for user and each contact person's communication information is mated with name, contact method, the remark information of extracted each contact person's card information, obtains user and each contact person's practical business relation.
10. the generating apparatus of the concern recommendation tables of address list according to claim 9, is characterized in that, described recommendation computing module comprises:
Weighted value obtains unit, for the weighted value corresponding with business relations between contact person according to the address list user who sets in advance, obtains definite user instant weighted value corresponding with practical business relation between contact person;
Temperature value obtains unit, for obtained user is mated with the practical business relation between contact person with definite user with each contact person's communication information, and the communication information that acquisition user is corresponding with practical business relation between contact person; The temperature value corresponding with business relations between contact person according to user in the address list setting in advance, determines the rank at the communication information place that user is corresponding with practical business relation between contact person, then obtains instant temperature value corresponding to this rank;
Recommendation computing unit is sued for peace after instant weighted value corresponding to each business relations of each contact person multiplied each other with instant temperature value again, obtains contact person's instant recommendation.
The generating apparatus of the concern recommendation tables of 11. address lists according to claim 7, it is characterized in that, described acquisition of information module is used for: detect while paying close attention to recommendation tables generation request, obtain the card information of each contact person in address list and all communication informations of user; All communication informations of user are mated with each contact person's card information, obtain user and each contact person's communication information.
The generating apparatus of the concern recommendation tables of 12. address lists according to claim 7, it is characterized in that, described acquisition of information module also for: when obtaining each contact person's of address list card information, the contact person's that also filtering user has paid close attention to card information, the contact person's that reservation user does not pay close attention to card information.
Priority Applications (1)
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| CN105574208A (en) * | 2016-01-29 | 2016-05-11 | 北京橙鑫数据科技有限公司 | Calling card recommendation method and device |
| CN106649650A (en) * | 2016-12-10 | 2017-05-10 | 宁波思库网络科技有限公司 | Demand information two-way matching method |
| CN106686030A (en) * | 2015-11-09 | 2017-05-17 | 阿里巴巴集团控股有限公司 | Service implementing method and device |
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| CN104111926B (en) | 2017-08-22 |
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