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WIDM
2005
ACM
13 years 11 months ago
Preventing shilling attacks in online recommender systems
Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalize...
Paul-Alexandru Chirita, Wolfgang Nejdl, Cristian Z...
FGR
2008
IEEE
231views Biometrics» more  FGR 2008»
13 years 12 months ago
Personalized facial attractiveness prediction
We present an approach to learning the personal preferences of individual users directly from example images. The target application is computer assisted search of partners in onl...
Jacob Whitehill, Javier R. Movellan
WWW
2007
ACM
14 years 6 months ago
Modeling user behavior in recommender systems based on maximum entropy
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
ACISICIS
2010
IEEE
13 years 7 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
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 5 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten