39 citations · 138 across the 9 of their papers we have counts for
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cs.IR2015★ 39 cited
A vertex similarity index for better personalized recommendation
Ling-Jiao Chen, Zi-Ke Zhang, Jin-Hu Liu +2
Recommender systems benefit us in tackling the problem of information overload by predicting our potential choices among diverse niche objects. So far, a variety of personalized re…
cs.IR2014★ 38 cited
Promoting cold-start items in recommender systems
Jin-Hu Liu, Tao Zhou, Zi-Ke Zhang +3
As one of major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online.…
cs.IR2012★ 1 cited
A two-step Recommendation Algorithm via Iterative Local Least Squares
Jinhu Liu, Chengcheng Yang, Zi-Ke Zhang
Recommender systems can change our life a lot and help us select suitable and favorite items much more conveniently and easily. As a consequence, various kinds of algorithms have b…