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题名: A collaborative filtering recommendation algorithm based on biclustering
作者: Wang JS(汪家升); Song H(宋宏); Zhou XF(周晓锋)
作者部门: 数字工厂研究室
会议名称: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期: June 8-12, 2015
会议地点: Shenyang, China
会议录: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 803-807
收录类别: EI ; CPCI(ISTP)
ISSN号: 2379-7711
ISBN号: 978-1-4799-8730-6
关键词: collaborative filtering ; recommender system ; biclustering ; data sparsity
摘要: Collaborative 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.
语种: 英语
产权排序: 1
WOS记录号: WOS:000380502300153
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17356
Appears in Collections:数字工厂研究室_会议论文

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Recommended Citation:
Wang JS,Song H,Zhou XF. A collaborative filtering recommendation algorithm based on biclustering[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.
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