Collaborative Filtering Algorithm Based on Weighted Information Entropy Similarity

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Collaborative Filtering Algorithm Based on Weighted Information Entropy Similarity

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[1]LIU Wenlong,ZHANG Guiyun,CHEN Zhe.Collaborative Filtering Algorithm Based on Weighted Information Entropy Similarity[J].Journal of Zhengzhou University (Engineering Science),2012,33(05):118-120.[doi:10.3969/j.issn.1671-6833.2012.05.026]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 33卷 Number of periods: 2012 05 Page number: 118-120 Column: Public date: 2012-09-10

Title:: Collaborative Filtering Algorithm Based on Weighted Information Entropy Similarity

Author(s):: LIU Wenlong; ZHANG Guiyun; CHEN Zhe; 1.College of Computer and Information Engineering, Tianjin Normal University ,Tianjin 300387 ,China;2. College of Urban andEnvironmental Seience,Tianjin Normal University ,Tianjin 300387,China

Keywords:: weighted information entropy ; similarity ealculation; collaborative filtering; personalized recommendation

CLC:: TP391

DOI:: 10.3969/j.issn.1671-6833.2012.05.026

Abstract:: Collaborative filtering algorithm is one of the most successful recommender system technology. Thesimilarity calculation is the core of the collaborative filtering algorithm, In view of the poor predication qualityexisting in traditional similarity calculation with sparse data, we propose a similarity calculation method basecon the information entropy between differences of items. First , we weight the entropy by the difference and com.mon evaluation and then normalized it to measure the similarity between items, Verified by experiments with i.tem-based collaborative filtering algorithm, the results show that it improves accuracy of personalized recommendation.

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