A Novel User Profile Learning Approach with Fuzzy Constraint for News Retrieval

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• 作者：Sheng-Tao Chen ; Ting-Jung Yu ; Liang-Chu Chen and Fan-Pyn Liu
• 刊名：International Journal of Intelligent Systems
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：32
• 期：3
• 页码：249-265
• 全文大小：705K
• ISSN：1098-111X

文摘

This study conducts a novel user profile learning approach based on fuzzy constraints. From the vantage of knowledge representation, a fuzzy constraint network is used not only to present the ambiguity of concepts and the diversity between concepts but also to express a single user profile with dependent multisubjects of interest. From the vantage of problem solving, the construction of a user profile is viewed as a problem of fuzzy constraint satisfaction. The subject of interest is extracted by a spreading activation model. To achieve the information filtering of the retrieved data, fuzzy information gain is employed to reduce unnecessary user feedback for matching the user's retrieval requirements.