Even though modern retrieval systems typically use a multitude of features to rank docu- ments, the backbone for search ranking is usually the standard ...
Conceptual information retrieval from full-text · Solving the word mismatch problem through automatic text analysis · Execution performance issues in full-text ...
Oct 22, 2012 · Full-Text Retrieval. Le Zhao. Language ... This thesis addresses a limitation of the fundamental retrieval models, the term mismatch.
Full-Text Retrieval. Le Zhao. Language Technologies Institute ... This thesis addresses a limitation of the fundamental retrieval models, the term mismatch.
This dissertation research designs two term mismatch prediction methods and identifies common reasons that user-specified query terms fail to appear in ...
Duration: 55:44
Posted: Apr 16, 2012
Posted: Apr 16, 2012
A panel discussion on the use of proprietary data was held at SIGIR 2012 in Portland. This report summarizes the positions put forward by the six panelists ...
Page 1. July 12, 2012. DRAFT. Modeling and Solving Term Mismatch for Full- ... This thesis addresses a limitation of the fundamental retrieval models, the ...
Author, Le Zhao ; Contributor, Carnegie Mellon University. Language Technologies Institute ; Publisher, Carnegie Mellon University, 2012 ; Length, 137 pages.
Modeling and solving term mismatch for full-text retrieval ; Anthology ID: DBLP:journals/sigir/Zhao12; Volume: ; Year: 2012; Venue: ; Pages: 117–118; URL: ; DOI: ...