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» Comparing relevance feedback algorithms for web search
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ICIP
2008
IEEE
14 years 9 months ago
Long term learning for image retrieval over networks
In this paper, we present a long term learning system for content based image retrieval over a network. Relevant feedback is used among different sessions to learn both the simila...
David Picard, Arnaud Revel, Matthieu Cord
AMR
2008
Springer
288views Multimedia» more  AMR 2008»
13 years 9 months ago
Automatic Reduction of MIDI Files Preserving Relevant Musical Content
Retrieving music from large digital databases is a demanding computational task. The cost for indexing and searching depends not only on the computational effort of measuring music...
Søren Tjagvad Madsen, Rainer Typke, Gerhard...
WWW
2008
ACM
14 years 8 months ago
Genealogical trees on the web: a search engine user perspective
This paper presents an extensive study about the evolution of textual content on the Web, which shows how some new pages are created from scratch while others are created using al...
Ricardo A. Baeza-Yates, Álvaro R. Pereira J...
PVLDB
2010
131views more  PVLDB 2010»
13 years 6 months ago
XSACT: A Comparison Tool for Structured Search Results
Studies show that about 50% of web search is for information exploration purpose, where a user would like to investigate, compare, evaluate, and synthesize multiple relevant resul...
Ziyang Liu, Sivaramakrishnan Natarajan, Peng Sun, ...
SIGIR
2004
ACM
14 years 1 months ago
Display time as implicit feedback: understanding task effects
Recent research has had some success using the length of time a user displays a document in their web browser as implicit feedback for document preference. However, most studies h...
Diane Kelly, Nicholas J. Belkin