165 search results - page 12 / 33 » Improving Collaborative Filtering Recommendations Using Exte... |
144
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COOPIS
2004
IEEE
15 years 6 months ago
2004
IEEE
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
150
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IMECS
2007
15 years 3 months ago
2007
Abstract Previously, we have proposed two recommendation systems, the Context-aware Information Filtering (C-IF) and Context-aware Collaborative Filtering (C-CF), both of which ar...
122
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RECSYS
2010
ACM
15 years 2 months ago
2010
ACM
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
243
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ECWEB
2011
Springer
14 years 2 months ago
2011
Springer
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
142
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RECSYS
2009
ACM
15 years 8 months ago
2009
ACM
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...