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» A Knowledge Recommend System Based on User Model
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IIR
2010
13 years 9 months ago
Context-Dependent Recommendations with Items Splitting
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Linas Baltrunas, Francesco Ricci
ECSQARU
1997
Springer
14 years 1 days ago
Assumption-Based Modeling Using ABEL
Abstract. Today, different formalisms exist to solve reasoning problems under uncertainty. For most of the known formalisms, corresponding computer implementations are available. ...
Bernhard Anrig, Rolf Haenni, Jürg Kohlas, Nor...
RECSYS
2009
ACM
14 years 2 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
ECWEB
2010
Springer
163views ECommerce» more  ECWEB 2010»
13 years 9 months ago
Social Networks as Data Source for Recommendation Systems
Abstract. Reviews and review based rankings are widely used in recommendation systems to provide potential customers quality information about selected products. During the last ye...
Mathias Bank, Juergen Franke
CVDB
2004
ACM
14 years 1 months ago
A Multimedia Data Base Browsing System
Browsing large multimedia databases is becoming a challenging problem, due to the availability of great amounts of data and the complexity of retrieval. In this paper we propose a...
Massimiliano Albanese, Carmine Cesarano, Antonio P...