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» A Lattice-Based Model for Recommender Systems
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RECSYS
2010
ACM
15 years 1 days ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
AAAI
2006
15 years 1 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
CHI
2006
ACM
16 years 7 days ago
Increasing user decision accuracy using suggestions
The internet presents people with an increasingly bewildering variety of choices. Online consumers have to rely on computerized search tools to find the most preferred option in a...
Pearl Pu, Paolo Viappiani, Boi Faltings
WS
2008
ACM
14 years 11 months ago
Recommendations based on semantically enriched museum collections
This article presents the CHIP demonstrator5 for providing personalized access to digital museum collections. It consists of three main components: Art Recommender, Tour Wizard, an...
Yiwen Wang, Natalia Stash, Lora Aroyo, Peter Gorge...
IUI
2000
ACM
15 years 4 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev