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ICWSM
2009
13 years 2 months ago
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...
AH
2008
Springer
13 years 11 months ago
Accuracy in Rating and Recommending Item Features
This paper discusses accuracy in processing ratings of and recommendations for item features. Such processing facilitates featurebased user navigation in recommender system interfa...
Lloyd Rutledge, Natalia Stash, Yiwen Wang, Lora Ar...
CIA
2004
Springer
13 years 10 months ago
Qualitative Analysis of User-Based and Item-Based Prediction Algorithms for Recommendation Agents
Recommendation agents employ prediction algorithms to provide users with items that match their interests. In this paper, several prediction algorithms are described and evaluated...
Manos Papagelis, Dimitris Plexousakis
TASLP
2010
188views more  TASLP 2010»
13 years 2 months ago
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags
—Social tagging is becoming increasingly popular in music information retrieval (MIR). It allows users to tag music items like songs, albums, or artists. Social tags are valuable...
Alexandros Nanopoulos, Dimitrios Rafailidis, Panag...
KDD
2006
ACM
200views Data Mining» more  KDD 2006»
14 years 5 months ago
A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...
Augusto Pucci, Marco Gori, Marco Maggini