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» On bootstrapping recommender systems
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AIIA
2003
Springer
15 years 9 months ago
Personalized Recommendation of TV Programs
This paper presents the user modeling and recommendation techniques applied in Personal Program Guide (PPG), a system generating personalized Electronic Program Guides for digital ...
Liliana Ardissono, Cristina Gena, Pietro Torasso, ...
EDM
2010
117views Data Mining» more  EDM 2010»
15 years 5 months ago
Pundit: Intelligent Recommender of Courses
In this paper the authors describe Pundit, a course recommendation and search tool at Teachers College, Columbia University. The alpha prototype employs a novel combination of data...
Ankit Ranka, Faisal Anwar, Hui Soo Chae
RECSYS
2009
ACM
15 years 11 months ago
A partial-order based active cache for recommender systems
Recommender systems aim to substantially reduce information overload by suggesting lists of similar items that users may find interesting. Caching has been a useful technique for...
Umar Qasim, Vincent Oria, Yi-fang Brook Wu, Michae...
ICDM
2005
IEEE
126views Data Mining» more  ICDM 2005»
15 years 10 months ago
Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. Researchers have shown that attackers can manipulate a system’s reco...
Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Ch...
FSS
2008
108views more  FSS 2008»
15 years 4 months ago
A collaborative recommender system based on probabilistic inference from fuzzy observations
The problem of building recommender systems has attracted considerable attention in recent years. The objective of this paper is to automatically suggest and rank a list of new it...
Luis M. de Campos, Juan M. Fernández-Luna, ...