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AVI
2004
15 years 3 months ago
Two methods for enhancing mutual awareness in a group recommender system
We present a group recommender system for vacations that helps group members who are not able to communicate synchronously to specify their preferences collaboratively and to arri...
Anthony Jameson, Stephan Baldes, Thomas Kleinbauer
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
15 years 7 months ago
Content-based Dimensionality Reduction 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 recommen...
Panagiotis Symeonidis
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
16 years 2 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
90
Voted
PROCEDIA
2010
69views more  PROCEDIA 2010»
15 years 1 days ago
A simulation for content-based and utility-based recommendation of candidate coalitions in virtual creativity teams
Psychological literature shows that people do not always make rational choices with respect to whom to collaborate with. Providing the value of candidate connections may help them...
Rory L. L. Sie, Marlies Bitter-Rijpkema, Peter B. ...

Publication
107views
15 years 10 months ago
RATC: A Robust Automated Tag Clustering Technique
Abstract. Nowadays, the most dominant and noteworthy web information sources are developed according to the collaborative-web paradigm, also known as Web 2.0. In particular, it rep...
Ludovico Boratto, Salvatore Carta, Eloisa Vargiu