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» Comparing relevance feedback algorithms for web search
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SIGIR
2010
ACM
13 years 11 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
SIGIR
2010
ACM
13 years 11 months ago
Studying trailfinding algorithms for enhanced web search
Search engines return ranked lists of Web pages in response to queries. These pages are starting points for post-query navigation, but may be insufficient for search tasks involvi...
Adish Singla, Ryen White, Jeff Huang
CLEF
2000
Springer
14 years 3 days ago
Translation Resources, Merging Strategies, and Relevance Feedback for Cross-Language Information Retrieval
This paper describes the official runs of the Twenty-One group for the first CLEF workshop. The Twenty-One group participated in the monolingual, bilingual and multilingual tasks....
Djoerd Hiemstra, Wessel Kraaij, Renée Pohlm...
SBBD
2004
82views Database» more  SBBD 2004»
13 years 9 months ago
Optimizing Ranking Calculation in Web Search Engines: a Case Study
Web search engines compete to offer the fastest responses with highest relevance. However, as Web collections grow, it becomes more difficult to achieve this purpose. As most user...
Miguel Costa, Mário J. Silva
ICIP
2003
IEEE
14 years 1 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...