392 search results - page 25 / 79 » Elicitation and use of relevance feedback information |
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
60
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SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. Analyzing the users’ decision process using eyetracking and comparing im...
108
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CIKM
2007
Springer
15 years 3 months ago
2007
Springer
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
ECIR
2008
Springer
14 years 11 months ago
2008
Springer
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
ICMCS
2005
IEEE
15 years 3 months ago
2005
IEEE
Since multimedia information is characterized by motley types of media with different properties, multimedia content retrieval in digital libraries requires dynamic reconfigurable...