Collaborative Filtering Recommendation Method Based on User Interest Change and Social Tagging InformationChinese Full Text
LUO Yuan;CHEN Xi;ZHOU Rong;School of Economics & Management,Xidian University;
Abstract: With the development and promotion of Web 2.0,social tagging systems provide users with opportunities to effectively express their feelings.In view of the characteristics of social tags, a collaborative filtering recommendation method that takes into account user interest change and user annotation information is proposed in this paper.Firstly,a user original data model is built utilizing the user’s historical record information;and then a forgetting function based on the Ebbinghaus forgetting c... More
Keywords:
Recommendation Model; Time Weight; Social Tagging; Tagging Information; User Interest Change;
- Series:
(A) Mathematics/ Physics/ Mechanics/ Astronomy; (I) Electronic Technology & Information Science
- Subject:
Computer Software and Application of Computer
- Classification Code:
TP391.3
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