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267
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ECWEB
2011
Springer
277views ECommerce» more  ECWEB 2011»
14 years 3 months ago
InCarMusic: Context-Aware Music Recommendations in a Car
Context aware recommender systems (CARS) adapt to the specific situation in which the recommended item will be consumed. So, for instance, music recommendations while the user is ...
Linas Baltrunas, Marius Kaminskas, Bernd Ludwig, O...
147
Voted
SIGIR
2012
ACM
13 years 6 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
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...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
128
Voted
SIGIR
2009
ACM
15 years 10 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
109
Voted
IIR
2010
15 years 5 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
126
Voted
IUI
2005
ACM
15 years 9 months ago
Improving proactive information systems
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminz...