CN107133242A - A kind of commending contents based on customer relationship chain and the system and method propagated - Google Patents
A kind of commending contents based on customer relationship chain and the system and method propagated Download PDFInfo
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- CN107133242A CN107133242A CN201610112938.1A CN201610112938A CN107133242A CN 107133242 A CN107133242 A CN 107133242A CN 201610112938 A CN201610112938 A CN 201610112938A CN 107133242 A CN107133242 A CN 107133242A
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- 230000000644 propagated effect Effects 0.000 title claims abstract description 9
- 238000000034 method Methods 0.000 title claims description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 41
- 238000004891 communication Methods 0.000 claims abstract description 19
- 230000005540 biological transmission Effects 0.000 claims abstract description 14
- 238000013481 data capture Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000006116 polymerization reaction Methods 0.000 claims description 3
- 230000001902 propagating effect Effects 0.000 claims description 3
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- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- 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
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention provides a kind of commending contents based on customer relationship chain and the system propagated, including：Share propagation module, receiving module, content service module and customer relationship analysis module；The propagation module of sharing is used to browse program request to content service module transmission user, and what reception content service module was sent shares URL, buddy list and share channel, and the good friend into buddy list, which sends, shares URL；The receiving module be used for receive other clients share propagation module transmission share URL, if user, which clicks on this, shares URL, the click information is sent to the content service module；The content service module is used to safeguard that the communication shared between propagation module and customer relationship analysis module shares URL with assembling；The customer relationship analysis module is used to produce the buddy list of the suitable program and shares channel；And it is sent to the content service module.
Description
Technical field
The present invention relates to recommend ASCII stream, and in particular to a kind of commending contents and biography based on customer relationship chain
The system and method broadcast.
Background technology
At present, with the fast development of internet, internet information exponential growth, commending system arises at the historic moment,
The information of suitable user is provided the user with, thus it is user-friendly, lift Consumer's Experience.
Because the function and emphasis of various commending systems are similar not to the utmost, some commending systems are according to the history row of user
To recommend the product that user is similar, some commending systems recommend related production to user according to the behavior of similar users
Product, such as collaborative filtering recommending.These commending systems are recommended due to not accounting for by customer relationship, and its is excellent
Propagation efficiency can not be effectively improved by changing proposed algorithm.
The content of the invention
It is an object of the invention to overcome the drawbacks described above that current commending system is present, it is proposed that one kind is based on user
The commending contents of relation chain and the system propagated, when user browses program, service end can return to user good friend row
Table sends sharing contents according to buddy list with channel, user is shared to good friend.
To achieve these goals, the invention provides a kind of commending contents based on customer relationship chain and propagate be
System, shares propagation module, receiving module, content service module and customer relationship analysis module, described to share propagation
Module and receiving module operation are on the client；The content service module and customer relationship analysis module operate in clothes
It is engaged on end；
It is described to share propagation module, for safeguarding the message channel with content service module；To the content service mould
Block sends user and browses program request, and what reception content service module was sent shares URL, buddy list and share canal
Road, the good friend into buddy list, which sends, shares URL；
The receiving module, for receive other clients share propagation module transmission share URL, if with
Family clicks on this and shares URL, and the click information is sent into the content service module；
The content service module, the communication between propagation module and customer relationship analysis module is shared for maintenance；
Share URL with user's assembling is shared according to sharing contents；
The customer relationship analysis module, program request is browsed for receiving the user that the content service module is sent,
The feature of program, the good friend of user are obtained from database, obtain user and good friend relationship characteristic and good friend it is emerging
Interesting feature；The interest characteristics of relationship characteristic, good friend and the matching degree of programs feature and recommendation based on user and good friend
Hit rate, produces and is adapted to the buddy list of the program and shares channel；And it is sent to the content service module.
In above-mentioned technical proposal, the content service module includes：Communication unit, share URL module units and push away
Recommend hit rate assessment unit；
The communication unit, shares propagation module transmission user for reception and browses program request；The request is sent
To the customer relationship analysis module；And the buddy list for returning to customer relationship analysis module is sent with channel is shared
To sharing propagation module；
It is described to share URL module units, share the source identification of people, share time for basis and share link with this
Term of validity field, assembling generation shares URL, will share URL and is sent to and described shares propagation module；
Recommend hit rate assessment unit, the information of URL link is shared for counting good friend's click, URL is shared in collection
Feedback, thus assess recommend hit rate；And it is sent to customer relationship analysis module.
In above-mentioned technical proposal, the customer relationship analysis module includes：Data capture unit, characteristic relation analysis
Unit and communication strategy analytic unit；
The data capture unit, browses program request, institute for receiving the user that the content service module is sent
State user and browse program request comprising user's unique mark and program unique mark；By program unique mark, from number
According to obtaining programs feature in storehouse；By user's unique mark, obtained from database the good friend of user, user with it is good
The relationship characteristic of friend and the interest characteristics of good friend；
The characteristic relation analytic unit, for by Collaborative Filtering Recommendation Algorithm, the relation to user and good friend to be special
Levy, the matching degree of the interest characteristics of good friend and programs feature and recommend hit rate to be analyzed, produce the suitable program
Buddy list；
The communication strategy analytic unit, for the relationship characteristic based on user Yu user good friend, produces and is adapted to recommend
Share channel.
In above-mentioned technical proposal, the good friend of the user is the polymerization of social network good friend.
In addition, present invention also offers a kind of commending contents and transmission method based on customer relationship chain, based on above-mentioned
Commending contents based on customer relationship chain and broadcasting system realize that this method is specifically included：
Step 1) user by it is described share propagation module send browse program request to service end content service mould
Block；The request bag unique mark containing user and program unique mark for browsing program；
Step 2) content service module receives the request for browsing program, sends the request to the customer relationship
Analysis module；
Step 3) the customer relationship analysis module receive the user that the content service module sends browse program please
Ask, by program unique mark, the feature of program is obtained from database；By user's unique mark, from data
The good friend of user is obtained in storehouse, the relationship characteristic and the interest characteristics of good friend of user and good friend is obtained；Based on user with
The relationship characteristic of good friend, the matching degree of the interest characteristics of good friend and programs feature and recommendation hit rate, produce and are adapted to be somebody's turn to do
The buddy list of program with share channel；
Step 4) the customer relationship analysis module will be adapted to the buddy list of the program and share described in channel is sent to
Content service module；
Step 5) data received are packaged by the content service module, and be sent to user shares propagating mode
Block；
Step 6) propagation module of sharing of subscription client selects the good friend in the program buddy list and communication channel
Propagation sharing contents are carried out, the sharing contents are the program browsed；
Step 7) good friend receives sharing contents by the receiving module or third party software in its client, and transmission is broadcast
Request is put to the content service module of service end；
Step 8) content service module receives playing request, and URL is parsed, participator is obtained, data is sent out
Customer relationship analysis module is sent to, carries out recommending hit rate statistics.
The advantage of the invention is that：The system of the present invention be based on user characteristics and good friend's feature realize buddy list and
Share the accurate recommendation of channel, reduce the coupling between client and customer relationship analysis system, convenient exploitation and
The extension of business.
Brief description of the drawings
Fig. 1 is the commending contents based on customer relationship chain of the present invention and the structure chart of broadcasting system；
Fig. 2 is the flow chart of the commending contents based on customer relationship chain and transmission method of the present invention.
Embodiment
The present invention will be further described in detail with specific embodiment below in conjunction with the accompanying drawings.
As shown in figure 1, a kind of commending contents based on customer relationship chain and the system propagated, including：Share propagation
Module, receiving module, content service module and customer relationship analysis module, it is described to share propagation module and receive mould
Block is run on the client；The content service module and customer relationship analysis module are operated in service end；
It is described to share propagation module, for safeguarding the message channel with content service module；To the content service mould
Block sends user and browses program request, and the user browses program request and uniquely marked comprising user's unique mark and program
Know；What reception content service module was sent shares URL, buddy list and shares channel, good into buddy list
Friend, which sends, shares URL；
The receiving module, for receive other clients share propagation module transmission share URL, if with
Family clicks on this and shares URL, and the click information is sent into the content service module；
The content service module, the communication between propagation module and customer relationship analysis module is shared for maintenance；
Share URL with user's assembling is shared according to sharing contents；Including：Communication unit, share URL module units and push away
Recommend hit rate assessment unit；
The communication unit, shares propagation module transmission user for reception and browses program request；The request is sent
To the customer relationship analysis module；And the buddy list for returning to customer relationship analysis module is sent with channel is shared
To sharing propagation module；
It is described to share URL module units, share the source identification of people, share time for basis and share link with this
Term of validity field, assembling generation shares URL, will share URL and is sent to and described shares propagation module；
Recommend hit rate assessment unit, the information of URL link is shared for counting good friend's click, URL is shared in collection
Feedback, thus assess recommend hit rate；And it is sent to customer relationship analysis module；
The customer relationship analysis module, program request is browsed for receiving the user that the content service module is sent,
The feature of program, the good friend of user are obtained from database, obtain user and good friend relationship characteristic and good friend it is emerging
Interesting feature；The interest characteristics of relationship characteristic, good friend and the matching degree of programs feature and recommendation based on user and good friend
Hit rate, produces and is adapted to the buddy list of the program and shares channel；And it is sent to the content service module；Bag
Include：Data capture unit, characteristic relation analytic unit and communication strategy analytic unit；Wherein, the database is
Existing database in service end.
The data capture unit, browses program request for receiving the user that the content service module is sent, leads to
Program unique mark is crossed, programs feature is obtained from database；By user's unique mark, obtained from database
The interest characteristics of the good friend of user, the relationship characteristic of user and good friend and good friend；
The characteristic relation analytic unit, for by Collaborative Filtering Recommendation Algorithm, the relation to user and good friend to be special
Levy, the matching degree of the interest characteristics of good friend and programs feature and recommend hit rate to be analyzed, produce the suitable program
Buddy list；
The communication strategy analytic unit, for the relationship characteristic based on user Yu user good friend, produces and is adapted to recommend
Share channel.
The good friend of the user is the polymerization of social network good friend.
In addition, as shown in Fig. 2 present invention also offers a kind of commending contents based on customer relationship chain and propagation side
Method, this method is specifically included：
Step 1) user by it is described share propagation module send browse program request to service end content service mould
Block；The request bag unique mark containing user and program unique mark for browsing program；
Step 2) content service module receives the request for browsing program, sends the request to the customer relationship
Analysis module；
Step 3) the customer relationship analysis module receive the user that the content service module sends browse program please
Ask, by program unique mark, the feature of program is obtained from database；By user's unique mark, from data
The good friend of user is obtained in storehouse, the relationship characteristic and the interest characteristics of good friend of user and good friend is obtained；Based on user with
The relationship characteristic of good friend, the matching degree of the interest characteristics of good friend and programs feature and recommendation hit rate, produce and are adapted to be somebody's turn to do
The buddy list of program with share channel；
Step 4) the customer relationship analysis module will be adapted to the buddy list of the program and share described in channel is sent to
Content service module；
Step 5) data received are packaged by the content service module, and be sent to user shares propagating mode
Block；
Step 6) propagation module of sharing of subscription client selects the good friend in the program buddy list and communication channel
Propagation sharing contents are carried out, the sharing contents are the program browsed；
Step 7) good friend receives sharing contents by the receiving module or third party software in its client, and transmission is broadcast
Request is put to the content service module of service end；
Step 8) content service module receives playing request, and URL is parsed, participator is obtained, data is sent out
Customer relationship analysis module is sent to, carries out recommending hit rate statistics.
Finally it should be noted that example described herein is only used for explaining the present invention, although with reference to embodiment to the present invention
It is described in detail, it will be understood by those within the art that, technical scheme is modified
Or equivalent substitution, without departure from the spirit and scope of technical solution of the present invention, it all should cover the power in the present invention
Among sharp claimed range.
Claims (5)
1. a kind of commending contents based on customer relationship chain and the system propagated, including：Share propagation module, reception
Module, content service module and customer relationship analysis module, it is described to share propagation module and receiving module operates in visitor
On the end of family；The content service module and customer relationship analysis module are operated in service end, it is characterised in that
It is described to share propagation module, for safeguarding the message channel with content service module；To the content service mould
Block sends user and browses program request, and what reception content service module was sent shares URL, buddy list and share canal
Road, the good friend into buddy list, which sends, shares URL；
The receiving module, for receive other clients share propagation module transmission share URL, if with
Family clicks on this and shares URL, and the click information is sent into the content service module；
The content service module, the communication between propagation module and customer relationship analysis module is shared for maintenance；
Share URL with user's assembling is shared according to sharing contents；
The customer relationship analysis module, program request is browsed for receiving the user that the content service module is sent,
The feature of program, the good friend of user are obtained from database, obtain user and good friend relationship characteristic and good friend it is emerging
Interesting feature；The interest characteristics of relationship characteristic, good friend and the matching degree of programs feature and recommendation based on user and good friend
Hit rate, produces and is adapted to the buddy list of the program and shares channel；And it is sent to the content service module.
2. the commending contents according to claim 1 based on customer relationship chain and the system propagated, its feature exist
In the content service module includes：Communication unit, share URL module units and recommend hit rate assessment unit；
The communication unit, shares propagation module transmission user for reception and browses program request；The request is sent
To the customer relationship analysis module；And the buddy list for returning to customer relationship analysis module is sent with channel is shared
To sharing propagation module；
It is described to share URL module units, share the source identification of people, share time for basis and share link with this
Term of validity field, assembling generation shares URL, will share URL and is sent to and described shares propagation module；
Recommend hit rate assessment unit, the information of URL link is shared for counting good friend's click, URL is shared in collection
Feedback, thus assess recommend hit rate；And it is sent to customer relationship analysis module.
3. the commending contents according to claim 2 based on customer relationship chain and the system propagated, its feature exist
In the customer relationship analysis module includes：Data capture unit, characteristic relation analytic unit and communication strategy point
Analyse unit；
The data capture unit, browses program request, institute for receiving the user that the content service module is sent
State user and browse program request comprising user's unique mark and program unique mark；By program unique mark, from number
According to obtaining programs feature in storehouse；By user's unique mark, obtained from database the good friend of user, user with it is good
The relationship characteristic of friend and the interest characteristics of good friend；
The characteristic relation analytic unit, for by Collaborative Filtering Recommendation Algorithm, the relation to user and good friend to be special
Levy, the matching degree of the interest characteristics of good friend and programs feature and recommend hit rate to be analyzed, produce the suitable program
Buddy list；
The communication strategy analytic unit, for the relationship characteristic based on user Yu user good friend, produces and is adapted to recommend
Share channel.
4. the commending contents according to claim 1 based on customer relationship chain and the system propagated, its feature exist
In：The good friend of the user is the polymerization of social network good friend.
5. a kind of commending contents and transmission method based on customer relationship chain, based on one of claim 1-4 based on
The commending contents and broadcasting system of customer relationship chain realize that this method is specifically included：
Step 1) user by it is described share propagation module send browse program request to service end content service mould
Block；The request bag unique mark containing user and program unique mark for browsing program；
Step 2) content service module receives the request for browsing program, sends the request to the customer relationship
Analysis module；
Step 3) the customer relationship analysis module receive the user that the content service module sends browse program please
Ask, by program unique mark, the feature of program is obtained from database；By user's unique mark, from data
The good friend of user is obtained in storehouse, the relationship characteristic and the interest characteristics of good friend of user and good friend is obtained；Based on user with
The relationship characteristic of good friend, the matching degree of the interest characteristics of good friend and programs feature and recommendation hit rate, produce and are adapted to be somebody's turn to do
The buddy list of program with share channel；
Step 4) the customer relationship analysis module will be adapted to the buddy list of the program and share described in channel is sent to
Content service module；
Step 5) data received are packaged by the content service module, and be sent to user shares propagating mode
Block；
Step 6) propagation module of sharing of subscription client selects the good friend in the program buddy list and communication channel
Propagation sharing contents are carried out, the sharing contents are the program browsed；
Step 7) good friend receives sharing contents by the receiving module or third party software in its client, and transmission is broadcast
Request is put to the content service module of service end；
Step 8) content service module receives playing request, and URL is parsed, participator is obtained, data is sent out
Customer relationship analysis module is sent to, carries out recommending hit rate statistics.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610112938.1A CN107133242A (en) | 2016-02-29 | 2016-02-29 | A kind of commending contents based on customer relationship chain and the system and method propagated |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610112938.1A CN107133242A (en) | 2016-02-29 | 2016-02-29 | A kind of commending contents based on customer relationship chain and the system and method propagated |
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| CN107133242A true CN107133242A (en) | 2017-09-05 |
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| CN201610112938.1A Pending CN107133242A (en) | 2016-02-29 | 2016-02-29 | A kind of commending contents based on customer relationship chain and the system and method propagated |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108769236A (en) * | 2018-06-06 | 2018-11-06 | Oppo广东移动通信有限公司 | Using recommendation method, electronic device and computer readable storage medium |
| CN109104456A (en) * | 2018-06-07 | 2018-12-28 | 北京本邦科技股份有限公司 | A kind of user tracking based on browser fingerprint and propagating statistics analysis method |
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| CN102317941A (en) * | 2011-07-30 | 2012-01-11 | 华为技术有限公司 | Information recommending method, recommending engine and network system |
| CN102413361A (en) * | 2011-11-25 | 2012-04-11 | 青岛海信传媒网络技术有限公司 | Friend information sharing method and system based on intelligent television |
| CN103248665A (en) * | 2012-02-14 | 2013-08-14 | 腾讯科技（深圳）有限公司 | Method, system and device for sharing third-party application |
| CN104144196A (en) * | 2013-07-05 | 2014-11-12 | 腾讯科技（深圳）有限公司 | Webpage information sharing method, device and server |
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2016
- 2016-02-29 CN CN201610112938.1A patent/CN107133242A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102317941A (en) * | 2011-07-30 | 2012-01-11 | 华为技术有限公司 | Information recommending method, recommending engine and network system |
| CN102413361A (en) * | 2011-11-25 | 2012-04-11 | 青岛海信传媒网络技术有限公司 | Friend information sharing method and system based on intelligent television |
| CN103248665A (en) * | 2012-02-14 | 2013-08-14 | 腾讯科技（深圳）有限公司 | Method, system and device for sharing third-party application |
| CN104144196A (en) * | 2013-07-05 | 2014-11-12 | 腾讯科技（深圳）有限公司 | Webpage information sharing method, device and server |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108769236A (en) * | 2018-06-06 | 2018-11-06 | Oppo广东移动通信有限公司 | Using recommendation method, electronic device and computer readable storage medium |
| CN109104456A (en) * | 2018-06-07 | 2018-12-28 | 北京本邦科技股份有限公司 | A kind of user tracking based on browser fingerprint and propagating statistics analysis method |
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Application publication date: 20170905 |