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» Recommender System Based on User-generated Content
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KAIS
2011
102views more  KAIS 2011»
13 years 2 months ago
Symbolic data analysis tools for recommendation systems
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 1 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
AH
2008
Springer
13 years 9 months ago
What Can I Watch on TV Tonight?
This paper presents the methods used in a TV Recommender System that helps users in the difficult task of finding an interesting TV program from among the hundreds of channels that...
David Bueno, Ricardo Conejo, David Martín, ...
OTM
2010
Springer
13 years 5 months ago
A Personalized and Collaborative eLearning Materials Recommendation Scenario Using Ontology-Based Data Matching Strategies
Abstract. We propose a virtual teacher for the evaluation of students’ competencies. It aims to improve learning by making personalized suggestions on the learning materials. It ...
Ioana Ciuciu, Yan Tang
SDM
2007
SIAM
106views Data Mining» more  SDM 2007»
13 years 9 months ago
Performance of Recommendation Systems in Dynamic Streaming Environments
In this paper, we study the behavior of collaborative filtering based recommendations under evolving user profile scenarios. We propose a systematic validation methodology that ...
Olfa Nasraoui, Jeff Cerwinske, Carlos Rojas, Fabio...