Interest label recommendation method and system

一种推荐方法、推荐系统的技术，应用在互联网领域，能够解决不能推荐兴趣标签、兴趣标签的推荐方式准确性不高等问题，达到推荐准确、减少干扰、提高相关性的效果

Inactive Publication Date: 2014-04-16
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] The present invention provides a method and system for recommending interest tags, aiming to solve the problem of low accuracy in recommending methods of interest tags in the prior art and the inability to recommend related interest tags

Method used

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  • Interest label recommendation method and system
  • Interest label recommendation method and system
  • Interest label recommendation method and system

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Embodiment Construction

[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0018] see figure 1 , is a flow chart of the method for recommending interest tags according to the first embodiment of the present invention. The interest tag recommendation method of the first embodiment of the present invention includes the following steps:

[0019] Step 100: counting the feature vectors of existing tags of interest;

[0020] In step 100, the interest tags are preset by the user, or are calculated according to the user's browsing history or operations. Statistical feature vectors of interest tags specifically include: extracting all articles whose titles or texts contain the ...

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Abstract

The invention belongs to the technical field of the Internet, and particularly relates to an interest label recommendation method and system. The interest label recommendation method comprises the steps that feature vectors of an existing interest label are counted; the similarity between the existing interest label and a recommended interest label is calculated according to the feature vectors of the existing interest label; and interest label recommendation is conducted according to the similarity between the existing interest label and the recommended interest label. The interest label recommendation method and system have the advantages that according to a certain interest label, the similarity of the interest label and the other labels is calculated, and then interest label recommendation is conducted, so that correlation of recommendation is improved, and interference is reduced; moreover, the co-occurrence relation between the labels is referred to during interest label recommendation, so that recommendation is more accurate.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to a method and system for recommending interest tags. Background technique [0002] With the continuous development of Internet technology, more and more users conduct related activities through the Internet, such as browsing news, shopping and so on. However, with the continuous increase of Internet information, the content that users need to pay attention to increases. In order to help users pay attention to the content they are interested in, interest tags are added to many Internet applications, and corresponding content is recommended to users according to the user's interest tags. Interest tags are words used by users to describe their interests. For example, users can use words such as "basketball", "NBA", and "Jeremy Lin" as interest tags to describe their interests. The existing recommendation methods of interest tags mainly include: random recommendatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
CPCG06F17/30G06F16/9535G06F40/205G06F16/951G06F16/334
Inventor 贺翔王业亓超
Owner TENCENT TECH (SHENZHEN) CO LTD
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