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SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
14 years 1 months ago
Assessing regret-based preference elicitation with the UTPREF recommendation system
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...
Darius Braziunas, Craig Boutilier
CSCW
2012
ACM
12 years 4 months ago
Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization
Users have come to rely on automated route finding services for driving, public transit, walking, and bicycling. Current state of the art route finding algorithms typically rely...
Reid Priedhorsky, David Pitchford, Shilad Sen, Lor...
SAC
2006
ACM
14 years 2 months ago
A privacy preserving web recommender system
In this paper we propose a recommender system that helps users to navigate though the Web by providing dynamically generated links to pages that have not yet been visited and are ...
Ranieri Baraglia, Claudio Lucchese, Salvatore Orla...
RECSYS
2010
ACM
13 years 8 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
SIGIR
2011
ACM
12 years 11 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...