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» Preference Networks: Probabilistic Models for Recommendation...
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126
Voted
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
15 years 8 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
146
Voted
AAAI
2012
13 years 6 months ago
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
110
Voted
AAAI
2006
15 years 5 months ago
Inferring User's Preferences using Ontologies
We consider recommender systems that filter information and only show the most preferred items. Good recommendations can be provided only when an accurate model of the user's...
Vincent Schickel-Zuber, Boi Faltings
UM
2007
Springer
15 years 10 months ago
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems
Users’ critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system’s accuracy in recommendations that ...
Li Chen, Pearl Pu
136
Voted
CW
2003
IEEE
15 years 9 months ago
Development of a recommendation system with multiple subjective evaluation process models
Current BtoC recommendation services utilize consumers’ purchased log as criteria for selecting information, yet it includes little information of the reason why he bought the i...
Emi Yano, Emi Sueyoshi, Isao Shinohara, Toshikazu ...