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 problems such as inability to share and recommend resources
CN102609465BActive Publication Date: 2014-04-16WUHAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
WUHAN UNIV
Publication Date
2014-04-16

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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.
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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] With the development of information society 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; 5.1 billion mobile users around the world are using emerging applications such as microblog, Facebook, Twitter, etc. , and various sensors on mobile devices are ...

Claims

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