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» Introduction to recommender systems
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ICASSP
2011
IEEE
14 years 2 months ago
Efficiently computing private recommendations
Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data, which could be misused ...
Zekeriya Erkin, M. Beye, T. Veugen, Reginald L. La...
UM
2005
Springer
15 years 4 months ago
Task-Oriented Web User Modeling for Recommendation
Abstract. We propose an approach for modeling the navigational behavior of Web users based on task-level patterns. The discovered “tasks” are characterized probabilistically as...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ECTEL
2009
Springer
15 years 2 months ago
ReMashed - Recommendations for Mash-Up Personal Learning Environments
Abstract. The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network....
Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin...
AIA
2007
15 years 7 days ago
Adaptive preference elicitation for top-K recommendation tasks using GAI-networks
The enormous number of questions needed to acquire a full preference model when the size of the outcome space is large forces us to work with partial models that approximate the u...
Sérgio R. de M. Queiroz
LWA
2008
15 years 7 days ago
Hybrid Personalization For Recommendations
In this paper we present the concept of hybrid personalization, the combination of multiple atomic personalization mechanisms. The idea of hybrid personalization is related to hyb...
Eelco Herder, Philipp Kärger