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ATAL
2007
Springer
14 years 1 months ago
Incentive compatible ranking systems
Ranking systems are a fundamental ingredient of multi-agent environments and Internet Technologies. These settings can be viewed as social choice settings with two distinguished p...
Alon Altman, Moshe Tennenholtz
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
DEEC
2006
IEEE
14 years 1 months ago
Optimization of Automatic Navigation to Hidden Web Pages by Ranking-Based Browser Preloading
Web applications have become an invaluable source of information for many different vertical solutions, but their complex navigation and semistructured format make their informatio...
Justo Hidalgo, José Losada, Manuel Á...
ESWA
2008
127views more  ESWA 2008»
13 years 7 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
TKDE
1998
117views more  TKDE 1998»
13 years 7 months ago
Data Resource Selection in Distributed Visual Information Systems
With the increasing number of geographical image databases on the Internet, it is a very important issue to know about the most relevant image databases for given user queries, in...
Wendy Chang, Gholamhosein Sheikholeslami, Jia Wang...