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» Methods for boosting recommender systems
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CIS
2005
Springer
14 years 1 months ago
A New Conceptual Framework Within Information Privacy: Meta Privacy
When considering information security and privacy issues most of the attention has previously focussed on data protection and the privacy of personally identifiable information (PI...
Geoff Skinner, Song Han, Elizabeth Chang
CVPR
1997
IEEE
13 years 11 months ago
Name-It: Association of Face and Name in Video
This paper proposes a novel approach to extract meaningful content information from video by collaborative integration of imageunderstanding and natural language processing. As an...
Shin'ichi Satoh, Takeo Kanade
RECSYS
2010
ACM
13 years 7 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
IUI
2006
ACM
14 years 1 months ago
Are two talking heads better than one?: when should use more than one agent in e-learning?
Recent interest in the use of software character agents raises the issue of how many agents should be used in online learning. In this paper we review evidence concerning the rela...
Hua Wang, Mark H. Chignell, Mitsuru Ishizuka
EWMF
2003
Springer
14 years 21 days ago
Semantically Enhanced Collaborative Filtering on the Web
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
Bamshad Mobasher, Xin Jin, Yanzan Zhou