305 citations · 1k across the 30 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★ 3 cited
Top-N Recommendation with Novel Rank Approximation
Zhao Kang, Qiang Cheng
The importance of accurate recommender systems has been widely recognized by academia and industry. However, the recommendation quality is still rather low. Recently, a linear spar…
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…