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» Using Temporal Information in Collaborative Filtering: An Em...
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CHI
2003
ACM
14 years 9 months ago
Are there benefits in seeing double?: a study of collaborative information visualization
We conducted an empirical study to better understand collaborative information visualization. We found that a system that offered fewer options for visualizations yielded more cor...
Gloria Mark, Keri Carpenter, Alfred Kobsa
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 9 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
SAC
2008
ACM
13 years 8 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
UAI
2004
13 years 10 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
SIGIR
2009
ACM
14 years 3 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