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» Relevance Evaluation of Search Engines' Query Results
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NIPS
2004
14 years 11 months ago
Instance-Based Relevance Feedback for Image Retrieval
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. These mechanisms require that the user judges the quality of t...
Giorgio Giacinto, Fabio Roli
AAAI
2008
14 years 12 months ago
Extracting Relevant Snippets for Web Navigation
Search engines present fix-length passages from documents ranked by relevance against the query. In this paper, we present and compare novel, language-model based methods for extr...
Qing Li, K. Selçuk Candan, Qi Yan
CLEF
2006
Springer
15 years 1 months ago
SINAI at CLEF 2006 Ad Hoc Robust Multilingual Track: Query Expansion Using the Google Search Engine
This year, we have participated on Ad-Hoc Robust Multilingual track with the aim to evaluate two issues of CLIR systems. Firstly, this paper describes the method followed for quer...
Fernando Martínez Santiago, Arturo Montejo ...
JCDL
2009
ACM
133views Education» more  JCDL 2009»
15 years 4 months ago
Cost and benefit analysis of mediated enterprise search
The utility of an enterprise search system is determined by three key players: the information retrieval (IR) system (the search engine), the enterprise users, and the service pro...
Mingfang Wu, James A. Thom, Andrew Turpin, Ross Wi...
PRICAI
2010
Springer
14 years 8 months ago
Exploiting Symmetry in Relational Similarity for Ranking Relational Search Results
Relational search is a novel paradigm of search which focuses on the similarity between semantic relations. Given three words (A, B, C) as the query, a relational search engine ret...
Tomokazu Goto, Nguyen Tuan Duc, Danushka Bollegala...