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» Explaining collaborative filtering recommendations
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IUI
2000
ACM
14 years 6 days ago
Virtual reviewers for collaborative exploration of movie reviews
We propose a collaborative exploration system that helps users to explore recommendations from various viewpoints. Given ratings and reviews on movies from reviewers, the system p...
Jun'ichi Tatemura
RECSYS
2010
ACM
13 years 8 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
ECWEB
2007
Springer
162views ECommerce» more  ECWEB 2007»
14 years 2 months ago
Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
WWW
2007
ACM
14 years 8 months ago
Google news personalization: scalable online collaborative filtering
Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several million users and items) and dynamic (the underlying item ...
Abhinandan Das, Mayur Datar, Ashutosh Garg, ShyamS...
AAIM
2008
Springer
208views Algorithms» more  AAIM 2008»
13 years 10 months ago
Large-Scale Parallel Collaborative Filtering for the Netflix Prize
Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on historical records of items that the users have viewed, purc...
Yunhong Zhou, Dennis M. Wilkinson, Robert Schreibe...