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DELOS
2001
13 years 9 months ago
Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms based on some explicit or implicit feedback from the user. Relevance feedback i...
Djoerd Hiemstra, Stephen E. Robertson
CIKM
1995
Springer
13 years 11 months ago
Learning Subjective Relevance to Facilitate Information Access
As the amount of available electronic information is dramatically increasing, the ability for rapid and e ective access to information has become critical. Most traditional inform...
James R. Chen, Nathalie Mathe
IWC
1998
108views more  IWC 1998»
13 years 7 months ago
How many relevances in information retrieval?
The aim of an information retrieval system is to nd relevant documents, thus relevance is a (if not `the') central concept of information retrieval. Notwithstanding its impor...
Stefano Mizzaro
ECTEL
2007
Springer
14 years 1 months ago
Relevance Ranking Metrics for Learning Objects
— The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevan...
Xavier Ochoa, Erik Duval
ICPR
2002
IEEE
14 years 8 months ago
Building a Latent Semantic Index of an Image Database from Patterns of Relevance Feedback
This paper proposes a novel view of the information generated by relevance feedback. Latent semantic analysis is adapted to this view to extract useful inter-query information. Th...
Douglas R. Heisterkamp