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CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 7 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
CIKM
2011
Springer
12 years 7 months ago
Towards a framework for attribute retrieval
In this paper, we propose an attribute retrieval approach which extracts and ranks attributes from HTML tables. We distinguish between class attribute retrieval and instance attri...
Arlind Kopliku, Mohand Boughanem, Karen Pinel-Sauv...
COOPIS
2004
IEEE
13 years 11 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani
CSCW
2012
ACM
12 years 3 months ago
Predicting tie strength in a new medium
We have friends we consider very close and acquaintances we barely know. The social sciences use the term tie strength to denote this differential closeness with the people in our...
Eric Gilbert
MM
2006
ACM
189views Multimedia» more  MM 2006»
14 years 1 months ago
Real-time computerized annotation of pictures
Automated annotation of digital pictures has been a highly challenging problem for computer scientists since the invention of computers. The capability of annotating pictures by c...
Jia Li, James Ze Wang