162 search results - page 29 / 33 » Item-based collaborative filtering recommendation algorithms |
135
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CIKM
2010
Springer
14 years 10 months ago
2010
Springer
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
101
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IIR
2010
15 years 4 months ago
2010
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
117
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UM
2007
Springer
15 years 9 months ago
2007
Springer
Recommender systems are gaining widespread acceptance in e-commerce applications to confront the “information overload” problem. Collaborative Filtering (CF) is a successful re...
139
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WWW
2009
ACM
16 years 3 months ago
2009
ACM
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
138
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SIGIR
2012
ACM
13 years 5 months ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...