Method for recommending problem based on probability latent semantic analysis

A technology for semantic analysis and recommendation methods, applied in the field of social networking, which can solve the problems of time-consuming and underutilized user contacts, etc.
CN101354714BInactive Publication Date: 2010-09-08ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2010-09-08
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention discloses a recommended method for analyzing the latent semantic problem based on the probability. The method describes the interest of a user through a state model in the latent semantic analysis on the probability and provides the compatible problem recommendation for the user interactive type question-answering system. The method adopts a ternary state model, has the advantages of two recommended ways based on the content and collaborative filtering, performs problem recommendation according to the personalized information of the user, and has high accuracy and good applicability in the user interactive type question-answering system.
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Description

technical field

[0001] The invention relates to a social network, a question answering system, and a recommendation system technology, in particular to a method for recommending questions based on probabilistic latent semantic analysis. Background technique

[0002] In recent years, user-interactive question-answering systems, which aim to enhance mutual answers between users, have become a new research hotspot. In the past few years, there have been such websites as Sina Aiwen, Baidu Zhizhi, Yahoo! Answers and other user-interactive question-answering systems. Users are free to ask questions, browse questions, and answer questions. However, for users, it is time-consuming to find the questions they are interested in. Therefore, recommending questions to users who are interested or able to answer is an important supplement to user-interactive question-answering systems.

[0003] A recommendation system is an information filtering technique designed to present items (such...

Claims

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