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HIS
2008
13 years 6 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
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
13 years 10 months ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme
WEBI
2007
Springer
13 years 10 months ago
Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts
Collaborative filtering (CF) is one of the most successful approaches for recommendation. In this paper, we propose two hybrid CF algorithms, sequential mixture CF and joint mixtu...
Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaa...
JCDL
2004
ACM
146views Education» more  JCDL 2004»
13 years 10 months ago
Enhancing digital libraries with TechLens+
The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each y...
Roberto Torres, Sean M. McNee, Mara Abel, Joseph A...
VLDB
2002
ACM
193views Database» more  VLDB 2002»
13 years 4 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock