142 citations · 372 across the 22 of their papers we have counts for
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cs.IR2016★ 19 cited
Top-N Recommendation on Graphs
Zhao Kang, Chong Peng, Ming Yang +1
Recommender systems play an increasingly important role in online applications to help users find what they need or prefer. Collaborative filtering algorithms that generate predict…
cs.IR2016★ 21 cited
Top-N Recommender System via Matrix Completion
Zhao Kang, Chong Peng, Qiang Cheng
Top-N recommender systems have been investigated widely both in industry and academia. However, the recommendation quality is far from satisfactory. In this paper, we propose a sim…