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» Convergent algorithms for collaborative filtering
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IR
2002
13 years 7 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 7 months ago
Self-stabilizing Numerical Iterative Computation
Many challenging tasks in sensor networks, including sensor calibration, ranking of nodes, monitoring, event region detection, collaborative filtering, collaborative signal proces...
Ezra N. Hoch, Danny Bickson, Danny Dolev
ADC
2006
Springer
123views Database» more  ADC 2006»
14 years 1 months ago
Recency-based collaborative filtering
Collaborative filtering is regarded as one of the most promising recommendation algorithms. Traditional approaches for collaborative filtering do not take concept drift into acc...
Yi Ding, Xue Li, Maria E. Orlowska
ISMIS
2005
Springer
14 years 27 days 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...
HIS
2008
13 years 8 months ago
Using Genetic Algorithm for Hybrid Modes of Collaborative Filtering in Online Recommenders
Online recommenders are usually referred to those used in e-Commerce websites for suggesting a product or service out of many choices. The core technology implemented behind this ...
Simon Fong, Yvonne Ho, Yang Hang