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» A Survey of Collaborative Recommendation and the Robustness ...
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ICDIM
2010
IEEE
13 years 4 months ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong
RECSYS
2009
ACM
13 years 11 months ago
Effective diverse and obfuscated attacks on model-based recommender systems
Robustness analysis research has shown that conventional memory-based recommender systems are very susceptible to malicious profile-injection attacks. A number of attack models h...
Zunping Cheng, Neil Hurley
WWW
2007
ACM
14 years 7 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng
CORR
2008
Springer
118views Education» more  CORR 2008»
13 years 6 months ago
On Affinity Measures for Artificial Immune System Movie Recommenders
We combine Artificial Immune Systems (AIS) technology with Collaborative Filtering (CF) and use it to build a movie recommendation system. We already know that Artificial Immune Sy...
Uwe Aickelin, Qi Chen
AAAI
2007
13 years 8 months ago
Unsupervised Shilling Detection for Collaborative Filtering
Collaborative Filtering systems are essentially social systems which base their recommendation on the judgment of a large number of people. However, like other social systems, the...
Bhaskar Mehta