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» Relevance Evaluation of Search Engines' Query Results
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ACMSE
2010
ACM
14 years 9 months ago
Mobile web search personalization using ontological user profile
Most present day search engines have a deterministic behavior in the sense that they return the same search results for all users who submit the same query at a certain time. They...
Kapil Goenka, Ismailcem Budak Arpinar, Mustafa Nur...
DASFAA
2007
IEEE
141views Database» more  DASFAA 2007»
15 years 5 months ago
Integrating Similarity Retrieval and Skyline Exploration Via Relevance Feedback
Similarity retrieval have been widely used in many practical search applications. A similarity query model can be viewed as a logical combination of a set of similarity predicates....
Yiming Ma, Sharad Mehrotra
MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 4 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
AIRWEB
2008
Springer
15 years 1 months ago
Cleaning search results using term distance features
The presence of Web spam in query results is one of the critical challenges facing search engines today. While search engines try to combat the impact of spam pages on their resul...
Josh Attenberg, Torsten Suel
ICIP
2003
IEEE
15 years 4 months ago
Evaluating group-based relevance feedback for content-based image retrieval
We have been developing new relevance feedback algorithms for Content-based Image Retrieval (CBIR) that allow the user to achieve more flexible query. In conjunction with the new...
Munehiro Nakazato, Charlie K. Dagli, Thomas S. Hua...