Sciweavers

760 search results - page 3 / 152
» Recommendation Systems: A Probabilistic Analysis
Sort
View
FSS
2008
108views more  FSS 2008»
13 years 5 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, ...
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 4 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
CSE
2009
IEEE
14 years 15 days ago
TagRec: Leveraging Tagging Wisdom for Recommendation
—Due to the exponential growth of information on the Web, Recommender Systems have been developed to generate suggestions to help users overcome information overload and sift thr...
Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
13 years 12 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
STAIRS
2008
169views Education» more  STAIRS 2008»
13 years 7 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer