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ECIR
2010
Springer
15 years 6 months ago
Query Difficulty Prediction for Contextual Image Retrieval
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
Xing Xing, Yi Zhang 0001, Mei Han
ECIR
2007
Springer
15 years 6 months ago
A Bayesian Approach for Learning Document Type Relevance
Retrieval accuracy can be improved by considering which document type should be filtered out and which should be ranked higher in the result list. Hence, document type can be used...
Peter C. K. Yeung, Stefan Büttcher, Charles L...
129
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CLEIEJ
2010
15 years 2 months ago
Implementation of an Improvement Cycle using the Competisoft Methodological Framework and the Tutelkan Platform
Formalizing and institutionalizing software processes has become a necessity in recent years requiring the management and enhancement of software production and, at the same time,...
Rodolfo Villarroel, Yessica Gómez, Roman Ga...
SIGIR
2011
ACM
14 years 7 months ago
Time-based query performance predictors
Query performance prediction is aimed at predicting the retrieval effectiveness that a query will achieve with respect to a particular ranking model. In this paper, we study quer...
Nattiya Kanhabua, Kjetil Nørvåg
SIGIR
2012
ACM
13 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...