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» Recommendation Systems: A Probabilistic Analysis
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DOLAP
2009
ACM
14 years 2 months ago
Query recommendations for OLAP discovery driven analysis
Recommending database queries is an emerging and promising field of investigation. This is of particular interest in the domain of OLAP systems where the user is left with the te...
Arnaud Giacometti, Patrick Marcel, Elsa Negre, Arn...
KDD
2009
ACM
298views Data Mining» more  KDD 2009»
14 years 3 months ago
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
Rong Pan, Martin Scholz
WIDM
2005
ACM
14 years 2 months ago
Web path recommendations based on page ranking and Markov models
Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the w...
Magdalini Eirinaki, Michalis Vazirgiannis, Dimitri...
KDD
2005
ACM
169views Data Mining» more  KDD 2005»
14 years 8 months ago
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...
Bamshad Mobasher, Robin D. Burke, Chad Williams, R...
FORTE
2007
13 years 10 months ago
Formal Analysis of Publish-Subscribe Systems by Probabilistic Timed Automata
Abstract. The publish-subscribe architectural style has recently emerged as a promising approach to tackle the dynamism of modern distributed applications. The correctness of these...
Fei He, Luciano Baresi, Carlo Ghezzi, Paola Spolet...