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I3E
2008
234views Business» more  I3E 2008»
13 years 8 months ago
Development of Recommender Systems Using User Preference Tendencies: An Algorithm for Diversifying Recommendation
Abstract. Many e-commerce sites use a recommendation system to filter the specific information that a user wants out of an overload of information. Currently, the usefulness of the...
Yuki Ogawa, Hirohiko Suwa, Hitoshi Yamamoto, Isamu...
ICIP
2001
IEEE
14 years 8 months ago
An analysis of subjective quality in low bit rate video
A subjective quality evaluation was performed to quantify viewer responses to various visual defects that appear in low bit rate video, both at full and reduced frame rates. The s...
Mark Masry, Sheila S. Hemami
ATAL
2004
Springer
13 years 12 months ago
An Empirical Study of the Effect of Agent Competence on User Performance and Perception
We studied the role of the competence of an interface agent that helped users to learn and use a text editor. Participants in the study made a set of changes to a document with th...
Jun Xiao, John T. Stasko, Richard Catrambone
GCC
2005
Springer
14 years 3 days ago
An Adaptive Service Strategy Based on User Rating in P2P
In order to deal with free riding in P2P system, incentive mechanism or rating system is presented, and each user rating is computed by itself, which causes that some users exagger...
Jianming Fu, Lei Zhang, Weinan Li, Huanguo Zhang
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 23 days ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh