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» Adaptive relevance feedback in information retrieval
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SIGIR
1997
ACM
15 years 10 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 11 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
16 years 27 days 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
ICIP
2008
IEEE
16 years 8 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
16 years 1 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...