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ICPPW
2002
IEEE
14 years 12 days ago
Hebbian Algorithms for a Digital Library Recommendation System
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
Francis Heylighen, Johan Bollen
ICDE
2007
IEEE
163views Database» more  ICDE 2007»
14 years 8 months ago
Adding Context to Preferences
To handle the overwhelming amount of information currently available, personalization systems allow users to specify the information that interests them through preferences. Most ...
Kostas Stefanidis, Evaggelia Pitoura, Panos Vassil...
OHS
2001
Springer
13 years 12 months ago
METIOREW: An Objective Oriented Content Based and Collaborative Recommending System
The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems to obtain the information that they really need. In order t...
David Bueno, Ricardo Conejo, Amos David
IADIS
2003
13 years 8 months ago
Using Combined Markov Chains to Predict WWW Navigation Paths
The Internet network provides access to several hundreds of million sites and expands at a rate of a million pages a day. Yet, given the rapid and anarchical nature of its evoluti...
Y. Hafri
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 7 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher