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SIGIR
2005
ACM
14 years 28 days ago
A study of factors affecting the utility of implicit relevance feedback
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
Ryen W. White, Ian Ruthven, Joemon M. Jose
ECAI
2000
Springer
13 years 11 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
INEX
2004
Springer
14 years 23 days ago
TIJAH at INEX 2004 Modeling Phrases and Relevance Feedback
This paper discusses our participation in INEX using the TIJAH XML-IR system. We have enriched the TIJAH system, which follows a standard layered database architecture, with severa...
Vojkan Mihajlovic, Georgina Ramírez, Arjen ...
KES
2010
Springer
13 years 5 months ago
DOCODE-Lite: A Meta-Search Engine for Document Similarity Retrieval
The retrieval of similar documents from large scale datasets has been the one of the main concerns in knowledge management environments, such as plagiarism detection, news impact a...
Felipe Bravo-Marquez, Gaston L'Huillier, Sebasti&a...
ERCIMDL
1997
Springer
169views Education» more  ERCIMDL 1997»
13 years 11 months ago
Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library
: A fully operational large scale digital library is likely to be based on a distributed architecture and because of this it is likely that a number of independent search engines m...
Alan F. Smeaton, Francis Crimmins