173 citations · 1.2k across the 29 of their papers we have counts for
8 papers · 1 filter
Hierarchical Clustering Supported by Reciprocal Nearest Neighbors
Wen-Bo Xie, Yan-Li Lee, Cong Wang +2
Clustering is a fundamental analysis tool aiming at classifying data points into groups based on their similarity or distance. It has found successful applications in all natural a…
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…
Evaluating user reputation in online rating systems via an iterative group-based ranking method
Jian Gao, Tao Zhou
Reputation is a valuable asset in online social lives and it has drawn increased attention. How to evaluate user reputation in online rating systems is especially significant due t…
Consistence beats causality in recommender systems
Xuzhen Zhu, Hui Tian, Zheng Hu +2
The explosive growth of information challenges people's capability in finding out items fitting to their own interests. Recommender systems provide an efficient solution by automat…
Group-based ranking method for online rating systems with spamming attacks
Jian Gao, Yu-Wei Dong, Mingsheng Shang +2
Ranking problem has attracted much attention in real systems. How to design a robust ranking method is especially significant for online rating systems under the threat of spamming…
Information Filtering via Balanced Diffusion on Bipartite Networks
Da-Cheng Nie, Ya-Hui An, Qiang Dong +2
Recent decade has witnessed the increasing popularity of recommender systems, which help users acquire relevant commodities and services from overwhelming resources on Internet. So…
Conquering the rating bound problem in neighborhood-based collaborative filtering: a function recovery approach
Junming Huang, Xue-Qi Cheng, Hua-Wei Shen +3
As an important tool for information filtering in the era of socialized web, recommender systems have witnessed rapid development in the last decade. As benefited from the better i…
A robust ranking algorithm to spamming
Yanbo Zhou, Ting Lei, Tao Zhou
Ranking problem of web-based rating system has attracted many attentions. A good ranking algorithm should be robust against spammer attack. Here we proposed a correlation based rep…