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RECSYS
2010
ACM
9 years 7 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
RECSYS
2009
ACM
10 years 1 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
CSCW
1998
ACM
9 years 11 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
IAJIT
2016
45views Biometrics» more  IAJIT 2016»
4 years 3 months ago
Dynamic group recommendation with modified collaborative filtering and temporal factor
Abstract: Group recommendation, which provides a group of users with information items, has become increasingly important in both the workspace and people’s social activities. Be...
Jinpeng Chen, Yu Liu, Deyi Li
RECSYS
2010
ACM
9 years 7 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
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