499 search results - page 8 / 100 » Search Engines that Learn from Implicit Feedback |
JCIT
2008
14 years 11 months ago
2008
Commercial search engines, especially meta-search engines was designed to retrieve the information by submitting users' queries to multiple conventional search engines and in...
108
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KDD
2004
ACM
15 years 11 months ago
2004
ACM
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
100
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ICADL
2004
Springer
15 years 4 months ago
2004
Springer
This paper presents our implementation techniques for an intelligent Web image search engine. A reference architecture of the system is provided and addressed in this paper. The s...