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» A Time-Based Recommender System Using Implicit Feedback
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ICDE
2010
IEEE
331views Database» more  ICDE 2010»
14 years 2 months ago
Navigation system for product search
Abstract— We demonstrate Product EntityCube, a product recommendation and navigation system. While the unprecedented scale of a product search portal enables to satisfy users wit...
Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
KI
2002
Springer
13 years 7 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
SIGIR
2012
ACM
11 years 10 months ago
Building reputation and trust using federated search and opinion mining
The term online reputation addresses trust relationships amongst agents in dynamic open systems. These can appear as ratings, recommendations, referrals and feedback. Several repu...
Somayeh Khatiban
TKDD
2010
121views more  TKDD 2010»
13 years 6 months ago
Factor in the neighbors: Scalable and accurate collaborative filtering
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
ER
2006
Springer
112views Database» more  ER 2006»
13 years 11 months ago
An Architecture for Emergent Semantics
Emergent Semantics is a new paradigm for inferring semantic meaning from implicit feedback by a sufficiently large number of users of an object retrieval system. In this paper, we ...
Sven Herschel, Ralf Heese, Jens Bleiholder