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A collaborative filtering recommendation algorithm based on biclustering
Wang JS(汪家升); Song H(宋宏); Zhou XF(周晓锋)
Department数字工厂研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages803-807
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187759
WOS IDWOS:000380502300153
Contribution Rank1
ISSN2379-7711
ISBN978-1-4799-8730-6
KeywordCollaborative Filtering Recommender System Biclustering Data Sparsity
AbstractCollaborative filtering has been widely used in many fields such as movie recommendation and e-commerce. However, there are still some problems such as data sparsity which restrict its further development. To address the data sparsity problem we proposed a novel collaborative filtering recommendation algorithm based on biclustering. Firstly, we use biclustering algorithm simultaneous clustering of the rows and columns of the rating matrix to generate biclusters, then the missing data can be smoothed by using the information of the biclusters. Secondly, a weighted matrix is introduced to distinguish between the original data and the smoothing data. Lastly, the active user's neighbors can be found based on the new similarity we proposed, and the recommendation to the active user is produced. The experiment results are offered, which show that the algorithm we presented can alleviate the data sparsity problem and improve the quality of the recommendation.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17356
Collection数字工厂研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China
2.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Wang JS,Song H,Zhou XF. A collaborative filtering recommendation algorithm based on biclustering[C]. Piscataway, NJ, USA:IEEE,2015:803-807.
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