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» A Case-Based Reasoning Approach to Collaborative Filtering
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COMMA
2006
13 years 8 months ago
CBR and Argument Schemes for Collaborative Decision Making
In this paper we present a novel approach for combining Case-Based Reasoning (CBR) and Argumentation. This approach involves 1) the use of CBR for evaluating the arguments submitt...
Pancho Tolchinsky, Sanjay Modgil, Ulises Cort&eacu...
STAIRS
2008
169views Education» more  STAIRS 2008»
13 years 8 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
KDD
2006
ACM
172views Data Mining» more  KDD 2006»
14 years 7 months ago
Attack detection in time series for recommender systems
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
Sheng Zhang, Amit Chakrabarti, James Ford, Fillia ...
UM
2007
Springer
14 years 1 months ago
Feature-Weighted User Model for Recommender Systems
Recommender systems are gaining widespread acceptance in e-commerce applications to confront the “information overload” problem. Collaborative Filtering (CF) is a successful re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 4 months ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...