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
CN103729360AInactive Publication Date: 2014-04-16TENCENT TECH (SHENZHEN) CO LTD
4 Cites 30 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TENCENT TECH (SHENZHEN) CO LTD
Publication Date
2014-04-16
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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

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