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» Preference Networks: Probabilistic Models for Recommendation...
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ADC
2006
Springer
188views Database» more  ADC 2006»
14 years 1 months ago
Discovering task-oriented usage pattern for web recommendation
Web transaction data usually convey user task-oriented behaviour pattern. Web usage mining technique is able to capture such informative knowledge about user task pattern from usa...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
CCIA
2005
Springer
14 years 1 months ago
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a s...
Gustavo González, Beatriz López, Cec...
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
14 years 1 months ago
Multi-Expert Decision-Making with Linguistic Information: A Probabilistic-Based Model
It is well-known that linguistic decision-making problems that manage preferences from different experts follow a common resolution scheme composed by two phases: an aggregation p...
Van-Nam Huynh, Yoshiteru Nakamori
SIGIR
2009
ACM
14 years 1 months ago
On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 7 months ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings