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» A Lattice-Based Model for Recommender Systems
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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 8 days ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
15 years 4 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
PERCOM
2003
ACM
15 years 11 months ago
PILGRIM: A Location Broker and Mobility-Aware Recommendation System
Mobile computing adds a mostly unexplored dimension to data mining: user's position is a relevant piece of information, and recommendation systems, selecting and ranking link...
Mauro Brunato, Roberto Battiti
HT
2009
ACM
15 years 6 months ago
Improving recommender systems with adaptive conversational strategies
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Tariq Mahmood, Francesco Ricci
IUI
2003
ACM
15 years 5 months ago
Towards more conversational and collaborative recommender systems
Current recommender systems, based on collaborative filtering, implement a rather limited model of interaction. These systems intelligently elicit information from a user only dur...
Giuseppe Carenini, Jocelyin Smith, David Poole