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AICS
2009
13 years 5 months ago
Robustness Analysis of Model-Based Collaborative Filtering Systems
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
Zunping Cheng, Neil Hurley
ICDM
2010
IEEE
267views Data Mining» more  ICDM 2010»
13 years 5 months ago
Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou
DEXA
2004
Springer
159views Database» more  DEXA 2004»
13 years 11 months ago
Adaptive Double Routing Indices: Combining Effectiveness and Efficiency in P2P Systems
Unstructured peer-to-peer systems rely on strategies and data structures (Routing Indices) for the routing of requests in the network. For those requests corresponding to informati...
Stéphane Bressan, Achmad Nizar Hidayanto, C...
I3E
2008
234views Business» more  I3E 2008»
13 years 8 months ago
Development of Recommender Systems Using User Preference Tendencies: An Algorithm for Diversifying Recommendation
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
Yuki Ogawa, Hirohiko Suwa, Hitoshi Yamamoto, Isamu...
WWW
2004
ACM
14 years 8 months ago
PipeCF: a scalable DHT-based collaborative filtering recommendation system
Collaborative Filtering (CF) technique has proved to be one of the most successful techniques in recommendation systems in recent years. However, traditional centralized CF system...
Bo Xie, Peng Han, Ruimin Shen