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» Ranking List Dispersion as a Query Performance Predictor
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CIKM
2001
Springer
13 years 9 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
SIGIR
2012
ACM
11 years 7 months ago
Clarity re-visited
We present a novel interpretation of Clarity [5], a widely used query performance predictor. While Clarity is commonly described as a measure of the “distance” between the lan...
Shay Hummel, Anna Shtok, Fiana Raiber, Oren Kurlan...
CW
2005
IEEE
13 years 11 months ago
ComRank: Metasearch and Automatic Ranking of XML Retrieval System
Different information retrieval (IR) systems often return very diverse results lists for the same query. This is problematic for users since no one IR system works best for every ...
Alan Woodley, Shlomo Geva
INEX
2009
Springer
13 years 9 months ago
Combining Term-Based and Category-Based Representations for Entity Search
We describe our participation in the INEX 2009 Entity Ranking track. We employ a probabilistic retrieval model for entity search in which term-based and category-based representati...
Krisztian Balog, Marc Bron, Maarten de Rijke, Wout...
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 2 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha