User interest recommending method and device

A technology of interest recommendation and user interest, applied in the field of social networking, can solve the problem of low accuracy

Inactive Publication Date: 2014-05-21
TENCENT TECH (SHENZHEN) CO LTD
View PDF4 Cites 42 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the embodiments of the present invention is to provide a user's interest recommendation method, which aims to solve the problem in the prior art that the accuracy of the user-recommended interest tags or recommended users is not high, thereby improving user interest. Hashtag or User Recommendation Efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • User interest recommending method and device
  • User interest recommending method and device
  • User interest recommending method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] figure 1 The implementation flow of the user interest recommendation method of the present invention is shown, and the details are as follows:

[0022] In step S101, according to user-generated content UGC of a social network, information of a user's interest tag is acquired.

[0023] Specifically, user-generated content (English full name is users generate content, English abbreviation is UGC), including microblogs, blogs, reprinted articles or personalized signatures published by users.

[0024] According to the user-generated content UGC of the social network, in the step of obtaining the user's interest tag information, obtaining the interest tag information may include one or both of the following methods:

[0025] 1. Find the user's interest tag information in the user-generated content. Specifically, a library including commonly used interest tags can be established. According to the interest tags in the interest tag library, search whether the interest tags i...

Embodiment 2

[0036] figure 2 The flow chart of the user interest recommendation method provided in the second embodiment of the present invention is described in detail as follows:

[0037] In step S201, according to the content generated by the user, the interest tag information of the user is obtained, and the interest tag information includes the user interest tag and the frequency of occurrence of the user interest tag in the user generated content.

[0038] The sources of user interest tags include user-generated content and user-defined interest tags.

[0039] While obtaining the user interest tags, count the number of times the user interest tags appear in the user-generated content. For user-defined interest tags, the number of occurrences of the user-generated content can also be counted. The generated user interest tags are in the form of: sports 20, basketball 25, mountain climbing 80, table tennis 15.

[0040] In step S202, according to the acquired interest tags and the fr...

Embodiment 3

[0049] image 3 The structural block diagram of the user's interest recommendation device provided by the embodiment of the present invention is described in detail as follows:

[0050] The user clustering device described in the embodiment of the present invention includes an acquisition module 301, a clustering module 302 and a recommendation module 303, wherein:

[0051] The acquiring module 301 is configured to acquire the user's interest tag information according to the user-generated content UGC of the social network;

[0052] The clustering module 302: used for clustering users of the same category of interest tags according to the acquired interest tag information to form clusters;

[0053] The recommendation module 303 is configured to recommend interest tags of users in the same cluster to users in the cluster, or to recommend users in the same cluster as friends with the same interest.

[0054] According to the content generated by the user, the acquisition module...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention is applicable to the field of a social network, and provides a user interest recommending method and a user interest recommending device. The method comprises the steps of acquiring user interest label information according to UGC (user generated content) of the social network; clustering users with the interest labels of the same category for forming a cluster according to the acquired interest label information; recommending the interest labels of the users in the same cluster to the users in the cluster, or mutually recommending the users in the same cluster to be friends with the same interest. The interest labels of the users are acquired from the UGC, so that the interest label matching accuracy is high, users in the cluster based on high accuracy are subjected to interest label recommendation or friend recommendation, the recommendation accuracy is high, the recommending efficiency is favorably improved, and the user interest label can be further improved.

Description

technical field [0001] The invention belongs to the field of social networks, and in particular relates to a method and device for recommending user interest tags. Background technique [0002] In the existing social networks such as alumni, space, blog and Weibo, it has a huge user base. In order to better facilitate users' information exchange and communication, various social networks have launched user interest tag services. After users match the corresponding interest tags, users are classified into user groups with the same interest tags. [0003] The existing methods for recommending user interest tags based on user interest tags generally adopt the following methods: randomly recommending interest tags to users or recommending interest tags to users according to current hot events, or after establishing a user interest tag system. Recommend different categories of interest tags. [0004] The random recommendation selects more commonly used interest tags to recommen...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535G06F16/958G06Q50/01G06F16/335G06F16/285G06F16/951G06F16/24573
Inventor 贺翔陈建群付昭
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap