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» User Study for Generating Personalized Summary Profiles
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RECSYS
2009
ACM
14 years 11 days ago
Critiquing recommenders for public taste products
Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommend...
Pearl Pu, Maoan Zhou, Sylvain Castagnos
CIKM
2004
Springer
13 years 11 months ago
Taxonomy-driven computation of product recommendations
Recommender systems have been subject to an enormous rise in popularity and research interest over the last ten years. At the same time, very large taxonomies for product classifi...
Cai-Nicolas Ziegler, Georg Lausen, Lars Schmidt-Th...
INFOCOM
2008
IEEE
14 years 2 months ago
Cyber-Fraud is One Typo Away
Abstract— Spelling errors when typing a URL can be exploited by website-squatters: users are led to phony sites in a phenomenon we call parasitic URL naming. These phony sites im...
Anirban Banerjee, Dhiman Barman, Michalis Faloutso...
BMCBI
2006
112views more  BMCBI 2006»
13 years 7 months ago
A phylogenomic gene cluster resource: the Phylogenetically Inferred Groups (PhIGs) database
Background: We present here the PhIGs database, a phylogenomic resource for sequenced genomes. Although many methods exist for clustering gene families, very few attempt to create...
Paramvir S. Dehal, Jeffrey L. Boore
CSCW
2006
ACM
14 years 1 months ago
Don't look stupid: avoiding pitfalls when recommending research papers
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
Sean M. McNee, Nishikant Kapoor, Joseph A. Konstan