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General Information
    • ISSN: 1793-8244 (Print)
    • Abbreviated Title:  J. Adv. Comput. Netw.
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Professor Haklin Kimm
    • Executive Editor: Ms. Cherry Chan
    • Abstracting/ Indexing: EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
    • APC: 500USD
Professor Haklin Kimm
East Stroudsburg University, USA
I'm happy to take on the position of editor in chief of JACN. We encourage authors to submit papers on all aspects of computer networks.

JACN 2015 Vol.3(3): 251-254 ISSN: 1793-8244
DOI: 10.7763/JACN.2015.V3.177

UIIM: A User-Item Interest Model Based on Bipartite Network for Top-N Recommender System

Zhixiong Jiang, Chunyang Lu, Siyuan Zheng, and Juan Yang

Abstract—Recently, a sparse linear method (SLIM) is developed for top-N recommender systems, which can produce high-quality recommendations for sparse data sets. SLIM provides a better performance than other existing methods. In this paper, we provide a novel user-item interest method (UIIM) based on bipartite network to improve the performance of SLIM. UIIM generates top-N recommendations by building the user-item interest matrix R with the bipartite network of users and items, calculating the item-item similarity matrix W with SLIM and predicting users’ ratings on items as a dot product of matrix R and W. And we also provide a parallel algorithm based on Spark to learn W. Our results indicate that UIIM provides better performance and recommendation quality than other existing methods and parallel algorithm of learning W outperforms serial algorithm on large-scale data sets.

Index Terms—Top-N recommender systems, bipartite network, UIIM, SLIM, parallel.

Zhixiong Jiang and Chunyang Lu are with CNPC Changping Data Center, Beijing 102206, China (e-mail: jiangzhixiong@cnpc.com.cn, luchunyang@cnpc.com.cn).
Siyuan Zheng and Juan Yang are with Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China (e-mail: zsybupt@gmail.com, yangjuan@bupt.edu.cn).


Cite:Zhixiong Jiang, Chunyang Lu, Siyuan Zheng, and Juan Yang, "UIIM: A User-Item Interest Model Based on Bipartite Network for Top-N Recommender System," Journal of Advances in Computer Networks vol. 3, no. 3, pp. 251-254, 2015.

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