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Information recommendation method based on potential communities

An information recommendation and community technology, applied in the field of information recommendation based on potential communities, can solve the problems of inability to share resources and recommend

Active Publication Date: 2012-07-25
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although these methods can select the most suitable group to recommend to a certain user or a certain resource, most users with similar interests may still live in different groups, and cannot fully share resources and recommend them.

Method used

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  • Information recommendation method based on potential communities
  • Information recommendation method based on potential communities
  • Information recommendation method based on potential communities

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Embodiment Construction

[0067] The technical solution of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0068] The present invention provides a potential community-based information recommendation method, the processing flow of the embodiment is as follows figure 1 As shown: the collected user history data records can be stored in the database, and the embodiment excavates the user interest model from the collected user history data records through the feature discovery technology; hierarchical relationship. When recommending, feature extraction is used to extract the recommended interest set from the items to be recommended, and then combine the characteristics of the community hierarchy to quickly locate the community to be recommended; then calculate the community to be recommended and the interest set to be recommended according to the recommendation algorithm The similarity between them is used to determine whether the recommendation ...

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Abstract

The invention relates to the technical field of information recommendation, in particular to an information recommendation method based on potential communities. The method includes: digging out user interest models from history records of a user via feature discovery technology, discovering the potential communities according to the user interest models and digging out hierarchical relationships between the communities; extracting possible interest collections from objects to be recommended through feature extraction, and fast positioning the communities to be recommended according to the features of the hierarchical relationships between the communities; calculating similarity between the communities to be recommended and the interest collections of the objects to be recommended to determine whether recommendation conditions are satisfied. The information recommendation method based on the potential communities is capable of realizing flexible batch pushing of information, enhancing efficiency greatly compared with traditional point-to-point recommendation technique, and enhancing novelty of information recommendation by integrating collaborative filtering technique.

Description

technical field [0001] The present invention relates to the technical field of information recommendation, in particular to an information recommendation method based on potential communities. Background technique [0002] As the information society develops from "E-society (Electronic Society)" to "U-society (Universal, User-Centric, Ubiquitous Society)", the research on information recommendation technology will have more and more important theoretical significance and broad application. The application prospect can be applied to many fields such as e-commerce, digital home, entertainment games, news, etc. The fundamental reason for this transformation is that the computing environment is realizing the leap and transformation from the CPU-centered Turing model stand-alone to the Internet-centered network; 51 billion mobile users around the world are using emerging applications such as microblog, Facebook, Twitter, etc. , and various sensors on mobile devices are changing ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 曾承贾大文刘洋
Owner WUHAN UNIV
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