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Community-based related post recommendation system and recommendation method

A recommendation system and recommendation method technology, applied in the field of computer networks, can solve problems such as single retrieval strategy, and achieve the effects of high timeliness, short update cycle, and fast update frequency

Active Publication Date: 2018-10-19
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the technical problem that the search engine based on the community under the traditional method has a simple search method and a single search strategy in the recommendation of related posts

Method used

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  • Community-based related post recommendation system and recommendation method
  • Community-based related post recommendation system and recommendation method
  • Community-based related post recommendation system and recommendation method

Examples

Experimental program
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no. 1 example

[0022] see figure 1 , figure 1 A schematic structural diagram of a community-based related post recommendation system 10 provided in the first embodiment of the present invention.

[0023] In the figure, the entire related post recommendation system 10 is divided into three layers from top to bottom by horizontal dotted lines, the top layer is the user access layer 11, the middle is the online retrieval layer 12, and the bottom layer is the offline data processing layer 13. A solid line with an arrow indicates an online process. The dotted line with the arrow indicates the offline process, specifically indicating which module in the online retrieval layer 12 will use certain data in the offline data processing layer 13 .

[0024] The user access layer 11 can be connected with the retrieval request sent to the online retrieval layer 12 through javascript. The online search layer 12 includes an http interface service module (httpServer) 121 , a search broker service module (S...

no. 2 example

[0036] see figure 2 , figure 2 A schematic structural diagram of a community-based related post recommendation system 20 provided in the second embodiment of the present invention.

[0037] The related post recommendation system 20 is basically the same as the related post recommendation system 10, and is divided into three layers from top to bottom, the top layer is the user access layer 21, the middle is the online retrieval layer 22, and the bottom layer is the offline data processing layer 23. The online retrieval layer 22 includes an http interface service module 221 , a retrieval proxy service module 222 , a retrieval policy service module 223 , a retrieval module 224 , a distributed retrieval cache service module 225 , a clustering service module 226 and a filter module 229 . The offline data processing layer 23 includes: an index service module 231 , an offline data management module 232 , and a cluster index service module 234 .

[0038] The difference is that: th...

no. 3 example

[0040] see image 3 , image 3 A schematic structural diagram of a community-based related post recommendation system 30 provided in the third embodiment of the present invention.

[0041] The related post recommendation system 30 is basically the same as the related post recommendation system 20. It is divided into three layers from top to bottom, the top layer is the user access layer 31, the middle is the online retrieval layer 32, and the bottom layer is the offline data processing layer 33. The online retrieval layer 32 includes an http interface service module 321, a retrieval proxy service module 322, a retrieval policy service module 323, a retrieval module 324, a distributed retrieval cache service module 325, a clustering service module 326, a filter module 329, the first click Feedback service module 3271, user attribute service module 3272. The offline data processing layer 33 includes: an index service module 331 , an offline data management module 332 , and a c...

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Abstract

The invention provides a community-based related post recommendation system and method, in order to solve the technical problem that a community-based search engine is insufficient in pertinence on related post recommendation in a traditional method. The post recommendation system comprises a user access layer, an online retrieval layer and an offline data processing layer. The user access layer sends a retrieval request to an http (hyper text transport protocol) interface service module, and the online retrieval layer accesses to the offline data processing layer through a retrieval module. By the method and system, effectiveness and accuracy of data are guaranteed through the offline data processing layer to allow the online retrieval layer to download, the retrieval module of the online retrieval layer is high in timeliness, fast in update frequency and short in updating cycle, and a retrieval strategy service module can generate appropriate retrieval strategies according to characteristics of applied communities thereof, so that related posts high in relevancy to a current post are recommended to users.

Description

technical field [0001] The invention relates to computer network technology, in particular to a community-based related post recommendation system and recommendation method. Background technique [0002] Search engine is a service frequently used on the Internet at present. Its main function is to facilitate people to search various sites. It also lists some excellent sites by category to facilitate people to find information. Community search is a search engine function organized on the basis of information based on massive community (forums, SNS sites, microblogs, etc.) resources. It works like a normal search engine, but it has the feature of prioritizing community information. Just like social networks, community search is also a new appeal for people to update and personalize information content. [0003] At present, there are many forums scattered on the Internet. Small-scale forums may adopt self-maintenance, and the search function in the forum is also attached to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 赵燕斌刘威郭强张文龙
Owner TENCENT TECH (SHENZHEN) CO LTD
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