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CVPR
2009
IEEE
15 years 3 months ago
"Who are you?" - Learning person specific classifiers from video
We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitle ...
Josef Sivic, Mark Everingham, Andrew Zisserman
AH
2006
Springer
15 years 5 months ago
Cross-Technique Mediation of User Models
Nowadays, the information overload highlights the importance of personalization systems providing services according to users' interests and needs, as expressed by their User ...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
SAC
2005
ACM
15 years 5 months ago
A trust-enhanced recommender system application: Moleskiing
Recommender Systems (RS) suggests to users items they will like based on their past opinions. Collaborative Filtering (CF) is the most used technique to assess user similarity bet...
Paolo Avesani, Paolo Massa, Roberto Tiella
SEMWEB
2007
Springer
15 years 6 months ago
Recommendation Privacy Protection in Trust-based Knowledge Sharing Network
Trust can be applied to knowledge sharing on a distributed network of knowledge source agents. Each agent represents a person who trusts some other agents. Based on these trust-rel...
Weisen Guo, Steven B. Kraines
IADIS
2003
15 years 1 months ago
Prediction Strategies in a TV Recommender System - Method and Experiments
Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that al...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...