Sciweavers

AOIS
2003
13 years 6 months ago
Market-Based Recommendations: Design, Simulation and Evaluation
This paper reports on the design, implementation, and evaluation of a market-based recommender system that suggests relevant documents to users. The key feature of the system is t...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
FLAIRS
2006
13 years 6 months ago
CATS: A Synchronous Approach to Collaborative Group Recommendation
Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of ...
Kevin McCarthy, Maria Salamó, Lorcan Coyle,...
CRIWG
2004
13 years 6 months ago
A Model for a Collaborative Recommender System for Multimedia Learning Material
In a cluster of many servers containing heterogeneous multimedia learning material and serving users with different backgrounds (e.g. language, interests, previous knowledge, hardw...
Nelson A. Baloian, Patricio Galdames, César...
AOIS
2004
13 years 6 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
AAAI
2006
13 years 6 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek
NIPS
2007
13 years 6 months ago
Automatic Generation of Social Tags for Music Recommendation
Social tags are user-generated keywords associated with some resource on the Web. In the case of music, social tags have become an important component of “Web2.0” recommender ...
Douglas Eck, Paul Lamere, Thierry Bertin-Mahieux, ...
IJCAI
2007
13 years 6 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci
ECIR
2007
Springer
13 years 6 months ago
Personalized Communities in a Distributed Recommender System
The amount of data exponentially increases in information systems and it becomes more and more difficult to extract the most relevant information within a very short time. Among ot...
Sylvain Castagnos, Anne Boyer
EDM
2010
309views Data Mining» more  EDM 2010»
13 years 6 months ago
A Case Study: Data Mining Applied to Student Enrollment
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...
César Vialardi Sacín, Jorge Chue, Al...
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
13 years 6 months ago
A Hybrid Recommender System for Context-aware Recommendations of Mobile Applications
The goal of the work in this paper is towards the incorporation of context in recommender systems in the domain of mobile applications. The approach recommends mobile applications...
Wolfgang Wörndl, Christian Schüller, Rol...