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ISMIS
2005
Springer
14 years 2 months ago
Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms
Most recommendation systems employ variations of Collaborative Filtering (CF) for formulating suggestions of items relevant to users’ interests. However, CF requires expensive co...
Manos Papagelis, Ioannis Rousidis, Dimitris Plexou...
DEBU
2008
59views more  DEBU 2008»
13 years 9 months ago
Social Wisdom for Search and Recommendation
Social-tagging communities offer great potential for smart recommendation and "socially enhanced" searchresult ranking. Beyond traditional forms of collaborative recomme...
Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Thomas...
IPM
2007
182views more  IPM 2007»
13 years 8 months ago
A probabilistic music recommender considering user opinions and audio features
A recommender system has an obvious appeal in an environment where the amount of on-line information vastly outstrips any individual’s capability to survey. Music recommendation...
Qing Li, Sung-Hyon Myaeng, Byeong Man Kim
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 9 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri
AGENTS
1997
Springer
14 years 1 months ago
An Adaptive Web Page Recommendation Service
An adaptive recommendation service seeks to adapt to its users, providing increasingly personalized recommendations over time. In this paper we introduce the \Fab" adaptive W...
Marko Balabanovic