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ICWSM
2009
13 years 5 months ago
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...
CORR
2011
Springer
166views Education» more  CORR 2011»
12 years 11 months ago
A Personalized System for Conversational Recommendations
Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help ...
Mehmet H. Göker, Pat Langley, Cynthia A. Thom...
ICDE
2011
IEEE
225views Database» more  ICDE 2011»
12 years 11 months ago
Methods for boosting recommender systems
—Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety...
Rubi Boim, Tova Milo
SIGIR
2011
ACM
12 years 10 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...
ECWEB
2011
Springer
277views ECommerce» more  ECWEB 2011»
12 years 7 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...