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» Search Engines that Learn from Implicit Feedback
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IADIS
2004
15 years 16 days ago
Relevance feedback using semantic association between indexing terms in large free text corpuses
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
Shahzad Khan, Kenan Azam
80
Voted
ICIP
2003
IEEE
16 years 22 days ago
Image retrieval with SVM active learning embedding Euclidean search
Image retrieval with relevance feedback suffers from the small sample problem. Recently, SVM active learning has been proposed to tackle this problem, showing promising results. H...
Lei Wang, Kap Luk Chan, Yap Peng Tan
90
Voted
CIVR
2008
Springer
152views Image Analysis» more  CIVR 2008»
15 years 28 days ago
FISH: a practical system for fast interactive image search in huge databases
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. J...
DAGSTUHL
2007
15 years 18 days ago
Exploiting Community Behavior for Enhanced Link Analysis and Web Search
Methods for Web link analysis and authority ranking such as PageRank are based on the assumption that a user endorses a Web page when creating a hyperlink to this page. There is a...
Julia Luxenburger, Gerhard Weikum
CSCW
2004
ACM
14 years 11 months ago
Small-Scale Classification Schemes: A Field Study of Requirements Engineering
Small-scale classification schemes are used extensively in the coordination of cooperative work. This study investigates the creation and use of a classification scheme for handlin...
Morten Hertzum