A Network-Based Multi-Dimensional Recommendation Algorithm

Abstract:

Personalized recommendation based on bipartite network has attracted more and more attention. Its obviously better than CF (Collaborative Filtering). In this paper, we propose a multi-dimensional recommendation algorithm called BNPM. It combines item-based, user-based and category-based recommendation model to improve recommendation quality. The experimental results show that the algorithm can improve the diversity and reduce the popularity on the base of holding the accuracy of the recommendation

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 1218-1222
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.1218
• Online since: September 2013
• Authors: Xiang Yun Xiong, Yu Chen Fu, Zhao Qing Liu
• Keywords: Bipartite Network, Multi-Dimensional Recommendation, Projection, Recommendation

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