CN104111926B - The generation method and device of the concern recommendation list of address list - Google Patents
The generation method and device of the concern recommendation list of address list Download PDFInfo
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- CN104111926B CN104111926B CN201310133007.6A CN201310133007A CN104111926B CN 104111926 B CN104111926 B CN 104111926B CN 201310133007 A CN201310133007 A CN 201310133007A CN 104111926 B CN104111926 B CN 104111926B
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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
Abstract
The embodiment of the present invention discloses the generation method and device of a kind of concern recommendation tables of address list, and this method comprises the following steps：When detecting concern recommendation tables generation request, the card information of each contact person and the communication information of user and each contact person in address list are obtained；According to the card information of acquired each contact person and the communication information of user and each contact person, the practical business relation of user and each contact person are determined；According to the user obtained weighted value corresponding with the business relations in the address list pre-set between user and contact person with the communication information of each contact person, hot value, the instant recommendation of each contact person is determined；The corresponding instant recommendation of each contact person in address list is ranked up, to generate the concern recommendation tables of address list.The present invention realizes the generation of concern recommendation tables, so that user can be quickly found the contact person for needing to pay close attention to according to the concern recommendation tables of generation.
Description
Technical field
The present invention relates to the generation method in address list field, more particularly to a kind of concern recommendation list applied to address list
And device.
Background technology
In the current information age, no matter when, where, people can be contact by information communication in time.And
With the appearance of the social platforms such as microblogging, wechat, as long as after being paid close attention between user, it is possible to understand the dynamic of concern people at any time
State.Existing concern function mainly includes two ways：First, people add concern again after actively searching for；Second, social platform
Binding mutually, the people that monitors to be related adds the social platform and then recommended.Although above two mode can be to a certain degree
Ground reaches the purpose of addition concern, but actively search make it that user's operation is extremely inconvenient, and the way of recommendation list of social platform
One, and recommend efficiency also not high.
The content of the invention
The main purpose of the embodiment of the present invention is to provide a kind of generation method of the concern recommendation tables of address list, it is intended to improve
Recommend efficiency, facilitate user to be quickly found out the contact person for needing to pay close attention to.
To achieve the above objectives, the embodiments of the invention provide a kind of generation method of the concern recommendation tables of address list, bag
Include following steps：
Detect concern recommendation tables generation request when, obtain address list in each contact person card information and user with it is each
It is the communication information of people；
According to the card information of acquired each contact person and the communication information of user and each contact person, user is determined and each
The practical business relation of contact person；
According to the communication information of the user that is obtained and each contact person and the address list user and contact person that pre-set it
Between the corresponding weighted value of business relations, hot value, determine the instant recommendation of each contact person；
The corresponding instant recommendation of each contact person in address list is ranked up, to generate the concern recommendation tables of address list.
The embodiment of the present invention additionally provides a kind of generating means of the concern recommendation tables of address list, including：
Data obtaining module, for detecting during concern recommendation tables generation request, obtains the name of each contact person in address list
Piece information and the communication information of user and each contact person；
Business relations determining module, for the card information according to acquired each contact person and user with each contact person's
Communication information, determines the practical business relation of user and each contact person；
Recommendation computing module, for according to the user obtained and the communication information of each contact person and leading to for pre-setting
News employ the corresponding weighted value of business relations between family and contact person, hot value, determine the instant recommendation of each contact person；
Order module, for the corresponding instant recommendation of each contact person in address list to be ranked up, to generate address list
Concern recommendation tables.
The embodiment of the present invention is entered by gathering the card information of contact person and the communication information of user and contact person to it
Row weight computing, to obtain the recommendation that each contact person is final, and it is pushed away according to order arrangement form concern from big to small
Table is recommended, so that user can be quickly found the contact person for needing to pay close attention to.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the embodiment of generation method one of the concern recommendation tables in address list of the present invention；
Fig. 2 be pre-set in Fig. 1 business relations and its corresponding weighted value in address list between user and contact person,
The schematic flow sheet of the step of hot value；
The schematic flow sheet for the step of Fig. 3 is the recommendation for determining that each contact person is final in Fig. 1；
Fig. 4 is the high-level schematic functional block diagram of the embodiment of generating means one 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 determining module in Fig. 4；
Fig. 6 is the high-level schematic functional block diagram of recommendation computing module in Fig. 4.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
Technical scheme is further illustrated below in conjunction with Figure of description and specific embodiment.It should be appreciated that this
The specific embodiment of place description is not intended to limit the present invention only to explain the present invention.
Reference picture 1, it is proposed that the embodiment of generation method one of the concern recommendation tables of address list of the present invention.The embodiment it is logical
The generation method for interrogating the concern recommendation tables of record comprises the following steps：
Step S110, pre-set business relations and its corresponding weighted value in address list between user and contact person,
Hot value；
Reference picture 2, above-mentioned steps S110 further comprises：
Step S111, the communication information according to the card information of each contact person in address list and user and each contact person, really
Determine the business relations between user and contact person；
For convenience of the management of address list, general user can for example work in address list by contact person's progress packet setting
Group, friend's group, relative's group etc.；Can also be recorded in address list can embody the associated person information of the relation of user and contact person,
The appellation word such as " father ", " mother ".Moreover, user can be by call, short message or other network social intercourse instruments with leading to
Contact person in news record is contacted.It therefore, it can analyze the card information of each contact person and user in address list to contact with each
The communication information of people, to determine the business relations of user and contact person.The communication information includes a period of time interior user and each
It is the voice frequency of people, message frequency, user by contacting frequency between social platform and each contact person.For example, mutually send out
QQ chat record bars number, the wechat bar number mutually sent out, the microblogging bar number for forwarding mutually and commenting on etc..Pre-set the industry of contact person
Business relation includes：Relationship, friends, customer relationship, QQ friend relations, microblogging mutually listen relation, wechat friend relation etc.
Deng.
Step S112, the communication information according to user and each contact person, pair business relations determined a correspondence hierarchical are set
Weighted value and hot value.
Weighted value is the corresponding weight coefficient of business relations, and hot value is to should business relations between user and contact person
Contact temperature.It is determined that after business relations, it is possible to which pair business relations hierarchical determined sets corresponding weighted value and heat
Angle value.It is as shown in table 1 below.
Weighted value and hot value that the business relations of table 1. and its correspondence hierarchical are set
Content with upper table 1 is example, and the weighted value that sets of business relations and its hierarchical, hot value can be with
Flexibly set, do not limited herein according to the concrete condition of user.By taking the business relations of QQ friend relations as an example, determine that QQ is good
Friendly relation can be by many modes, and such as contact person is provided with the QQ number code of oneself on backstage, and QQ number code is that user exists
Backstage binding QQ number good friend, then weighted value be set to 10；If contact person does not set the QQ number of oneself on backstage, but user exists
The QQ number code of remarks contact person in the card information of local linkages people, and the number is the QQ good friends of user, then weighted value is set
For 7；If the cell-phone number matching in the cell-phone number of contact person and user some QQ good friend's data, weighted value is set to 8；If contact person
Name and user some QQ good friend the pet name or remarks title fuzzy matching, then weighted value be set to 3.Hot value then can root
The message bar number that sends by QQ with contact person according to user, the access times in QQ spaces and reply number of times etc. to set.In addition,
The corresponding weighted value of the business relations pre-set and hot value can be the default setting of system；It can also be user's root
Store in memory, used for being subsequently generated concern recommendation tables after flexibly being set according to concrete condition；Can also be use
Family needs what generation was set temporarily when paying close attention to recommendation tables each.
Step S120, detect concern recommendation tables generation request when, obtain address list in each contact person card information and
User and the communication information of contact person；
Generation, the cycle that can also be set by user can be triggered by the control of user by paying close attention to recommendation tables generation request
And clocked flip is produced, generation can also be triggered in real time certainly, do not limited herein.
The card information of each contact person refers to can in the various information of record each contact person in address list, the card information
With including multiple fields, such as name, phone, mailbox, remarks etc..Therefore search in name or remarks with the presence or absence of expression
Whether the word of " appellation ", or the address list are grouped, it can be determined that the relation of user and the contact person, such as relationship, friend
Friendly relation, customer relationship etc..And can also be contacted between user and each contact person by various social platforms, therefore,
Relation between user and each contact person can also mutually listen relation, wechat friend relation etc. including QQ friend relations, microblogging.
Therefore, when detecting concern recommendation tables generation request, can obtain in address list the card information of each contact person and user with
The communication information of contact person, to determine the business relations and its corresponding weighted value, hot value of user and each contact person.One implements
In example, a memory can be set, each contact person in all communication informations and address list of the memory for storing user
Card information, the communication information both includes call, the short message of user and contact person, also passes through including user various social flat
Platform and the interactive information of contact person.The card information of each contact person in the address list stored in terminal is backed up to storage by user
Device, and all communication informations of user are also stored to memory.Therefore, when detecting concern recommendation tables generation request, from
Corresponding information is obtained in memory.In another embodiment, detect concern recommendation tables generation request when, to terminal or other
Social platform, which is sent, obtains request, with all communication informations of the card information and user that obtain each contact person.
Get after the card information of each contact person and all communication informations of user, then from the card information of each contact person
Middle extraction keyword, the card information such as name, contact method and remarks to obtain each contact person；And by the business card of each contact person
Keyword in information is matched with all communication informations of user, to obtain the communication of user and each contact person in address list
Information.In one embodiment, when certain in the telephone number and address list in QQ good friend's data that user contacts in all communication informations
Contact person A telephone number is consistent, it is determined that user is QQ friend relations with contact person A, and obtains user and the contact person A's
All information bar numbers of QQ chats.In another embodiment, the telephone number for certain the microblogging account binding listened to as user and communication
The telephone number of the contact person of certain in record is consistent, it is determined that user contacts artificial microblogging with this and mutually listens relation.
Because the concern situation of each contact person in address list differs, some have been concerned, therefore recommend to improve concern
In the formation efficiency of table, the address list of above-mentioned acquisition during the information of each contact person, the contact person that user has paid close attention to will filter out
Information, and only retain the information for the contact person that user does not pay close attention to.
The communication information of step S130, the card information according to acquired each contact person and user and each contact person, really
Determine the practical business relation between user and each contact person；
Due to many information, such as name, remarks, contact method etc. can be recorded in the card information of contact person.Carry
The keyword in card information is taken, if going out to represent the word of appellation in name, such as " father ", " daddy " etc. then can roots
The business relations for determining the contact person according to the appellation include relationship；By the communication information of user and each contact person with being extracted
Each contact person card information in name, contact method, remark information matched, obtain the reality of user and each contact person
Border business relations.If the information and the information matches of contact person in address list of the object that user is communicated by QQ, microblogging and wechat,
The practical business relation of contact person can then be determined.For example, certain good friend in the QQ good friends of user backstage binding, its friend information
Recorded in telephone number it is consistent with the telephone number of the contact person of certain in user communication record, so user and the contact person are QQ
Friend relation.
User and contact person in step S140, the communication information according to user and each contact person, the address list pre-set
Between the corresponding weighted value of business relations, hot value, determine the instant recommendation of each contact person；
Reference picture 3, above-mentioned steps S140 includes：
Step S141, according to the corresponding weight of business relations in the address list that pre-sets between user and contact person
Value, obtains the corresponding instant weighted value of practical business relation between the user determined and contact person；With the microblogging of certain contact person
Exemplified by the business relations for mutually listening relation, listened to mutually between user and contact person, then it can be seen from upper table 1, the industry of the contact person
The corresponding instant weighted value of business relation " microblogging mutually listens relation " is 1.
Step S142, by between the user and contact person of the communication information and determination of the user obtained and each contact person
Practical business relation is matched, and obtains the corresponding communication information of practical business relation between user and contact person；With foregoing
Microblogging mutually listen relation exemplified by, obtain the corresponding communication information of practical business relation between user and contact person, such as user
Listened to mutually between contact person, and the microblogging number forwarded mutually within a period of time is 90.
Step S143, according to the corresponding temperature of business relations in the address list that pre-sets between user and contact person
Value, determines the rank where the corresponding communication information of practical business relation between user and contact person, then obtains the rank
Corresponding instant hot value；It can be seen from upper table 1, the corresponding instant temperature of business relations " microblogging mutually listens relation " of the contact person
It is worth for 10.
The instant weighted value and instant hot value of other business relations of above-mentioned contact person can also refer to foregoing matching and obtain
.Just repeat no more herein.
Step S144, the corresponding instant weighted value of each business relations of each contact person is multiplied with instant hot value after again
Summation, obtains the instant recommendation of contact person.
After the corresponding instant weighted value of all business relations and instant hot value of each contact person is obtained, then by contact person
The corresponding instant weighted value of each business relations be multiplied with instant hot value after sum again, obtain the instant recommendation of each contact person
Value.For example, the business relations of certain contact person include business relations 1, business relations 2, business relations 3, and business relations 1 are corresponding
Weighted value is that R1, hot value are H1, and the corresponding weighted value of business relations 2 is that R2, hot value are H2, the corresponding weight of business relations
Value is that R3, hot value are H3.Therefore, the instant recommendation of the contact person is R1* H1+ R2* H2+ R3* H3.
Step S150, the instant recommendation of each contact person in address list is ranked up, pushed away with the concern for generating address list
Recommend table.
To each contact person according to the instant recommendation finally obtained by being ranked up from big to small, by the high row of recommendation
In prostatitis, so that user can be quickly found out the contact person for oneself needing to pay close attention to according to the concern recommendation tables.
The embodiment of the present invention is entered by gathering the card information of contact person and the communication information of user and contact person to it
Row weight computing, to obtain the instant recommendation of each contact person, and it is pushed away according to order arrangement form concern from big to small
Table is recommended, so that user can be quickly found the contact person for needing to pay close attention to.
Below by taking the address list on mobile terminal as an example, the mobile terminal periodically uploads the address list information stored thereon
To server, the mobile terminal has to pass through certification login before upload.The server be also stored with the mobile terminal own
Communication information, such as user passes through the call scenarios of mobile terminal and each contact person, net connection situation etc..Get logical
The associated person information for the friend group that is stored with news record, user does not pay close attention to the contact person, and the name of the contact person is " to open
Three ", its telephone number is 13588888888, and mailbox is zhangs@163.com etc..Stored moreover, getting in server
The contact details of user and the contact person include：Talk times are 10 times in a period of time, and the microblogging forwarded mutually is 70.
Therefore according to the card information of contact person in address list and the communication information of user and contact person, the institute of contact person " Zhang San " is determined
There are business relations and its corresponding weighted value, hot value.Specifically, according to the card information and use of above-mentioned contact person in address list
Family and the communication information of contact person, determine that the business relations of contact person Zhang San mutually listen relation including friends and microblogging, then
According to the content of table 1, it is 20,3 that can obtain weighted value and hot value corresponding to business relations " friends "；Business relations
Weighted value and hot value corresponding to " microblogging mutually listens relation " are 1,10.Finally the instant recommendation of acquisition contact person " Zhang San " is
20*3+1*10=70。
As described above, the instant recommendation for each contact person not paid close attention to user in address list is calculated, it is then right again
It is ranked up from big to small by instant recommendation, generation concern recommendation tables.
Reference picture 4, correspondence above method embodiment, the present invention also proposes the generating means one of the concern recommendation tables of address list
Embodiment.The generating means of the concern recommendation tables of the address list of the embodiment can be arranged in terminal, can also be arranged on clothes
It is engaged on device.And in the present embodiment, the generating means are set on the server, it includes：
Data obtaining module 110, for detecting during concern recommendation tables generation request, obtains each contact person in address list
Card information and the communication information of user and each contact person；
Business relations determining module 120, is contacted for the card information according to acquired each contact person and user with each
The communication information of people, determines the practical business relation of user and each contact person；
Recommendation computing module 130, for according to the communication information of the user obtained and each contact person with pre-setting
Address list user and contact person between the corresponding weighted value of business relations, hot value, calculate and obtain pushing away immediately for contact person
Recommend value；
Order module 140, for the corresponding instant recommendation of each contact person in address list to be ranked up, to generate communication
The concern recommendation tables of record.
Above-mentioned business relations and corresponding weighted value, the method that pre-sets of hot value can refer to previous methods embodiment institute
State, and the business relations that pre-set and corresponding weighted value, hot value can be that system default is set；Can also be
User stores in memory after setting as the case may be and flexibly, is used for being subsequently generated concern recommendation tables；May be used also
Think that user needs what generation was set temporarily when paying close attention to recommendation tables each.Therefore, above-mentioned generating means can also be set including one
Module is put, for the communication information according to the card information of each contact person in address list and user and each contact person, user is determined
Business relations between contact person；According to the communication information of user and each contact person, pair business relations determined a correspondence is layered
Level sets weighted value and hot value.
Above-mentioned generating means may also include a memory, for storing all communication informations of the user pre-set and leading to
The card information of each contact person in news record.User backs up to the card information of each contact person in the address list stored in terminal
Memory, and all communication informations of user are also stored to memory.Therefore, described information acquisition module 110 is being detected
When paying close attention to recommendation tables generation request, the card information of each contact person and all communications of user in address list are obtained from memory
Information.In addition, data obtaining module 110 can also be when detecting concern recommendation tables generation request, to terminal or other social activities
Platform, which is sent, obtains request, to obtain the card information of each contact person and all communication informations of user.Then, acquisition of information mould
Block 110 extracts keyword from the card information of each contact person, the name such as name, contact method and remarks to obtain each contact person
Piece information；And matched the keyword in the card information of each contact person with all communication informations of user, to obtain use
Family and the communication information of each contact person in address list.In one embodiment, when the QQ good friends money that user contacts in all communication informations
Telephone number in material is consistent with the contact person of certain in address list A telephone number, it is determined that user is closed with contact person A for QQ good friends
System, and obtain user and all information bar numbers of the QQ chats of the contact person A.In another embodiment, when certain that user listens to is micro-
The telephone number of rich account binding is consistent with the telephone number of the contact person of certain in address list, it is determined that user contacts artificial micro- with this
It is rich mutually to listen relation.Further, since the concern situation of each contact person differs in address list, some have been concerned, therefore in order to improve
When paying close attention to the information of each contact person in the formation efficiency of recommendation tables, the address list of above-mentioned acquisition, data obtaining module 110 is additionally operable to
The card information for the contact person that user has paid close attention to is filtered out, and only retains the card information for the contact person that user does not pay close attention to.
Further, reference picture 5, above-mentioned business relations determining module 120 includes：
Information extraction unit 121, the name in card information, contact method, remark information for extracting each contact person；
Business relations matching unit 122, for by the communication information of user and each contact person and each contact person extracted
Card information in name, contact method, remark information matched, the practical business for obtaining user and each contact person is closed
System.
Obtain in address list the identity information of each contact person and user with after the communication information of each contact person, information extraction
Unit 121 then first extracts the keyword and user and the keyword of the contact details of each contact person of the identity information of each contact person,
Then business relations matching unit 122 again believes the business card of the communication information and each contact person extracted of user and each contact person
Name, contact method, remark information in breath are matched, and obtain the practical business relation of user and each contact person.Specifically show
Example can refer to the description of embodiment of the method above, just repeat no more herein.
Further, reference picture 6, above-mentioned recommendation computing module 130 includes：
Weighted value obtaining unit 131, for being closed according to the business in the address list pre-set between user and contact person
It is corresponding weighted value, obtains the corresponding instant weighted value of practical business relation between the user determined and contact person；
Hot value obtaining unit 132, for the communication information by the user obtained with each contact person and the user of determination
Practical business relation between contact person is matched, and the practical business relation obtained between user and contact person is corresponding logical
Interrogate information；According to the corresponding hot value of business relations in the address list pre-set between user and contact person, user is determined
Rank where the corresponding communication information of practical business relation between contact person, then obtains the corresponding instant heat of the rank
Angle value；
Recommendation computing unit 133, for by the corresponding instant weighted value of each business relations of each contact person and immediately
Hot value is summed again after being multiplied, and obtains the instant recommendation of contact person.
Specific calculating process on recommendation can refer to described in previous methods embodiment, just repeat no more herein.
Finally, order module 140 to each contact person in address list according to corresponding instant recommendation by carrying out from big to small
Sequence, stands out recommendation is high, and so that user can be according to the concern recommendation tables, being quickly found out oneself needs concern
Contact person.
The embodiment of the present invention is entered by gathering the card information of contact person and the communication information of user and contact person to it
Row weight computing, to obtain the instant recommendation of each contact person, and it is pushed away according to order arrangement form concern from big to small
Table is recommended, so that user can be quickly found the contact person for needing to pay close attention to.
The preferred embodiments of the present invention are the foregoing is only, its scope of the claims is not thereby limited, it is every to utilize the present invention
Equivalent structure or equivalent flow conversion that specification and accompanying drawing content are made, are directly or indirectly used in other related technology necks
Domain, is included within the scope of the present invention.
Claims (10)
1. the generation method of the concern recommendation tables of a kind of address list, it is characterised in that applied to the pass between social platform user
Note；The generation method comprises the following steps：
When detecting concern recommendation tables generation request, the card information of each contact person and user and each contact person in address list are obtained
Communication information；
According to the card information of acquired each contact person and the communication information of user and each contact person, determine that user contacts with each
The practical business relation of people；
According in the user obtained and the communication information of each contact person and the address list pre-set between user and contact person
The corresponding weighted value of business relations, hot value, determine the instant recommendation of each contact person；
The corresponding instant recommendation of each contact person in address list is ranked up, to generate the concern recommendation tables of address list, for
Family is quickly found out the contact person for needing to pay close attention to and paid close attention to；
The communication information according to the user obtained and each contact person and user and contact person in the address list pre-set
Between the corresponding weighted value of business relations, hot value, include the step of the instant recommendation for determining each contact person：
According to the corresponding weighted value of business relations in the address list pre-set between user and contact person, the use determined is obtained
The corresponding instant weighted value of practical business relation between family and contact person；
By the practical business relation between the user and contact person of the communication information and determination of the user obtained and each contact person
Matched, obtain the corresponding communication information of practical business relation between user and contact person；
According to the corresponding hot value of business relations in the address list pre-set between user and contact person, user and connection are determined
It is the rank where the corresponding communication information of practical business relation between people, then obtains the corresponding instant temperature of the rank
Value；
Sum, contacted again after the corresponding instant weighted value of each business relations of each contact person is multiplied with instant hot value
The instant recommendation of people.
2. the generation method of the concern recommendation tables of address list according to claim 1, it is characterised in that in the address list
The corresponding weighted value of business relations between user and contact person, the method that pre-sets of hot value include：
According to the card information of each contact person in address list and the communication information of user and each contact person, user and contact person are determined
Between business relations；According to the communication information of user and each contact person, pair business relations determined a correspondence hierarchical sets power
Weight values and hot value.
3. the generation method of the concern recommendation tables of address list according to claim 2, it is characterised in that the user with it is each
The communication information of contact person includes：The voice frequency of user and each contact person, message frequency, user by social platform with it is each
It is the contact frequency between people；The communication of the card information of each contact person acquired in the basis and user and each contact person are believed
The step of breath, practical business relation for determining user and each contact person, includes：
Extract name, contact method, the remark information in the card information of each contact person；
By the name in the communication information of user and each contact person and the card information of each contact person extracted, contact method,
Remark information is matched, and obtains the practical business relation of user and each contact person.
4. the generation method of the concern recommendation tables of address list according to claim 1, it is characterised in that described to detect pass
When noting recommendation tables generation request, the card information of each contact person and user and the communication information of each contact person in address list are obtained
Step includes：
When detecting concern recommendation tables generation request, the card information of each contact person and all communications of user in address list are obtained
Information；
All communication informations of user are matched with the card information of each contact person, the communication of user and each contact person is obtained
Information.
5. the generation method of the concern recommendation tables of address list according to claim 1, it is characterised in that the acquisition communication
In record while the card information of each contact person, in addition to：
The card information for the contact person that user has focused on is filtered out, retains the card information for the contact person that user does not pay close attention to.
6. the generating means of the concern recommendation tables of a kind of address list, it is characterised in that applied to the pass between social platform user
Note；The generating means include：
Data obtaining module, for detecting during concern recommendation tables generation request, obtains the business card letter of each contact person in address list
Breath and the communication information of user and each contact person；
Business relations determining module, the communication for the card information according to acquired each contact person and user and each contact person
Information, determines the practical business relation of user and each contact person；
Recommendation computing module, for according to the user obtained and the communication information of each contact person and the address list pre-set
The corresponding weighted value of business relations between user and contact person, hot value, determine the instant recommendation of each contact person；
Order module, for the corresponding instant recommendation of each contact person in address list to be ranked up, to generate the pass of address list
Recommendation tables are noted, the contact person for needing to pay close attention to is quickly found out for user and is paid close attention to；
The recommendation computing module includes：
Weighted value obtaining unit, for corresponding according to the business relations in the address list pre-set between user and contact person
Weighted value, obtains the corresponding instant weighted value of practical business relation between the user determined and contact person；
Hot value obtaining unit, for the communication information by the user obtained with each contact person and the user and contact person of determination
Between practical business relation matched, obtain the corresponding communication information of practical business relation between user and contact person；
According to the corresponding hot value of business relations in the address list pre-set between user and contact person, user and contact person are determined
Between the corresponding communication information of practical business relation where rank, then obtain the corresponding instant hot value of the rank；
Recommendation computing unit, for by the corresponding instant weighted value of each business relations of each contact person and instant hot value phase
Summed again after multiplying, obtain the instant recommendation of contact person.
7. the generating means of the concern recommendation tables of address list according to claim 6, it is characterised in that the generating means
Also include：
Setup module, for the communication information according to the card information of each contact person in address list and user and each contact person, really
Determine the business relations between user and contact person；According to the communication information of user and each contact person, pair business relations pair determined
Answer hierarchical that weighted value and hot value are set.
8. the generating means of the concern recommendation tables of address list according to claim 7, it is characterised in that the business relations
Determining module includes：
Information extraction unit, the name in card information, contact method, remark information for extracting each contact person；
Business relations matching unit, for the communication information of user and each contact person and the business card of each contact person extracted to be believed
Name, contact method, remark information in breath are matched, and obtain the practical business relation of user and each contact person.
9. the generating means of the concern recommendation tables of address list according to claim 6, it is characterised in that described information is obtained
Module is used for：When detecting concern recommendation tables generation request, the card information of each contact person and the institute of user in address list are obtained
There is communication information；All communication informations of user are matched with the card information of each contact person, user is obtained and is contacted with each
The communication information of people.
10. the generating means of the concern recommendation tables of address list according to claim 6, it is characterised in that described information is obtained
Modulus block is additionally operable to：While the card information of each contact person in obtaining address list, the contact person that user has focused on also is filtered out
Card information, retain the card information of contact person that user does not pay close attention to.
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| CN104391976A (en) * | 2014-12-08 | 2015-03-04 | 畅捷通信息技术股份有限公司 | Social object recommending method and device |
| 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 |
| 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 |
| CN106649650B (en) * | 2016-12-10 | 2020-08-18 | 宁波财经学院 | Bidirectional matching method for demand information |
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| CN101365008A (en) * | 2008-09-12 | 2009-02-11 | 深圳华为通信技术有限公司 | Method and terminal for address book ordering |
| CN101631311A (en) * | 2008-07-17 | 2010-01-20 | 科塔企业有限责任公司 | Profile service for sharing rights-enabled mobile profiles |
| CN102143485A (en) * | 2011-03-22 | 2011-08-03 | 宇龙计算机通信科技(深圳)有限公司 | Mobile terminal and method for associating contact in address book thereof with user in social networking site |
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| CN102255890B (en) * | 2011-05-30 | 2014-12-31 | 苏宁军 | User recommendation and information interaction system and method |
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| CN101631311A (en) * | 2008-07-17 | 2010-01-20 | 科塔企业有限责任公司 | Profile service for sharing rights-enabled mobile profiles |
| CN101365008A (en) * | 2008-09-12 | 2009-02-11 | 深圳华为通信技术有限公司 | Method and terminal for address book ordering |
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