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SIGIR
2009
ACM
14 years 2 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
IJISEC
2007
119views more  IJISEC 2007»
13 years 7 months ago
An incentive compatible reputation mechanism for ubiquitous computing environments
The vision of ubiquitous computing is becoming a reality thanks to the advent of portable devices and the advances in wireless networking technologies. It aims to facilitate user ...
Jinshan Liu, Valérie Issarny
JCDL
2011
ACM
272views Education» more  JCDL 2011»
12 years 10 months ago
CollabSeer: a search engine for collaboration discovery
Collaborative research has been increasingly popular and important in academic circles. However, there is no open platform available for scholars or scientists to effectively dis...
Hung-Hsuan Chen, Liang Gou, Xiaolong Zhang, Clyde ...
SIGIR
2006
ACM
14 years 1 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
SIGIR
2002
ACM
13 years 7 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny