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» Feature-Weighted User Model for Recommender Systems
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KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 8 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
RECSYS
2009
ACM
14 years 12 days ago
Acceptance issues of personality-based recommender systems
To understand users’ acceptance of the emerging trend of personality-based recommenders (PBR), we evaluated an existing PBR using the technology acceptance model (TAM). We also ...
Rong Hu, Pearl Pu
UIC
2007
Springer
14 years 1 months ago
Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices
As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user’s phy...
Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho
GROUP
2010
ACM
13 years 5 months ago
Towards a group recommender process model for ad-hoc groups and on-demand recommendations
Movie recommender systems simplify the movie selection by providing movie suggestions based on the respective user's personal taste. Most of the current systems address indiv...
Christoph Beckmann, Tom Gross