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» Adaptive relevance feedback in information retrieval
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SIGIR
1997
ACM
15 years 1 months ago
Pat-tree-based Keyword Extraction for Chinese Information Retrieval
urgent need to promote Chinese in this paper we will raise the significance of keyword extraction using a new PAT-treebased approach, which is efficient in automatic keyword extra...
Lee-Feng Chien, T.-I. Huang, M-C. Chien
CIKM
2009
Springer
15 years 2 months ago
A comparative study of methods for estimating query language models with pseudo feedback
We systematically compare five representative state-of-theart methods for estimating query language models with pseudo feedback in ad hoc information retrieval, including two var...
Yuanhua Lv, ChengXiang Zhai
CLEF
2007
Springer
15 years 3 months ago
Applying Query Expansion Techniques to Ad Hoc Monolingual Tasks with the IR-n System
The paper describes our participation in Monolingual tasks at CLEF 2007. We submitted results for the following languages: Hungarian, Bulgarian and Czech. We focused on studying d...
Elisa Noguera, Fernando Llopis
66
Voted
ICIP
2008
IEEE
15 years 11 months ago
Fast adaptive Mahalanobis distance-based search and retrieval in image databases
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
Sharadh Ramaswamy, Kenneth Rose
CIKM
2009
Springer
15 years 4 months ago
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungc...