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» User evaluation of a market-based recommender system
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CHI
2006
ACM
14 years 7 months ago
Increasing user decision accuracy using suggestions
The internet presents people with an increasingly bewildering variety of choices. Online consumers have to rely on computerized search tools to find the most preferred option in a...
Pearl Pu, Paolo Viappiani, Boi Faltings
WWW
2009
ACM
14 years 1 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl
RECSYS
2009
ACM
14 years 1 months ago
Getting recommender systems to think outside the box
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Laksh...
SIGIR
2011
ACM
12 years 9 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
OHS
2001
Springer
13 years 11 months ago
METIOREW: An Objective Oriented Content Based and Collaborative Recommending System
The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems to obtain the information that they really need. In order t...
David Bueno, Ricardo Conejo, Amos David