499 search results - page 31 / 100 » Search Engines that Learn from Implicit Feedback |
FQAS
2009
Springer
15 years 3 months ago
2009
Springer
Relevance Feedback (RF) is a technique allowing to enrich an initial query according to the user feedback in order to get results closer to the user’s information need. This pape...
115
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CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Query logs record the queries and the actions of the users of search engines, and as such they contain valuable information about the interests, the preferences, and the behavior ...
101
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CIKM
2007
Springer
15 years 3 months ago
2007
Springer
How to improve search accuracy for difficult topics is an underaddressed, yet important research question. In this paper, we consider a scenario when the search results are so poo...
JCO
2010
14 years 9 months ago
2010
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
CIKM
2003
Springer
15 years 4 months ago
2003
Springer
In recent work we have developed a novel approach to the design and implementation of an online portal (ePortal) to help application engineers find replacements for electronic par...