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» Using Preference Order in Ontologies
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94
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CCS
2010
ACM
15 years 1 months ago
Towards publishing recommendation data with predictive anonymization
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...
90
Voted
ECAI
2008
Springer
14 years 11 months ago
A BDD Approach to the Feature Subscription Problem
Modern feature-rich telecommunications services offer significant opportunities to human users. To make these services more usable, facilitating personalisation is very important s...
Tarik Hadzic, David Lesaint, Deepak Mehta, Barry O...
ACISICIS
2010
IEEE
14 years 11 months ago
Temporal Dynamics in Music Listening Behavior: A Case Study of Online Music Service
Abstract--Although temporal context may significantly affect the popularity of items and user preference over items, traditional information filtering techniques such as recommende...
Chan Ho Park, Minsuk Kahng
LREC
2008
119views Education» more  LREC 2008»
14 years 11 months ago
Text Independent Speaker Identification in Multilingual Environments
Speaker identification and verification systems have a poor performance when model training is done in one language while the testing is done in another. This situation is not unu...
Iker Luengo, Eva Navas, Iñaki Sainz, Ibon S...
81
Voted
IJCAI
2007
14 years 11 months ago
ItemRank: A Random-Walk Based Scoring Algorithm for Recommender Engines
Recommender systems are an emerging technology that helps consumers to find interesting products. A recommender system makes personalized product suggestions by extracting knowle...
Marco Gori, Augusto Pucci