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» Using Coherence-Based Measures to Predict Query Difficulty
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KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 3 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel
ICIAP
1995
ACM
14 years 19 days ago
Image Retrieval by Elastic Matching of User Sketches
—Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to properly index and recover pictorial data. Retriev...
Alberto Del Bimbo, Pietro Pala
COMGEO
2006
ACM
13 years 9 months ago
Cost prediction for ray shooting in octrees
The ray shooting problem arises in many different contexts and is a bottleneck of ray tracing in computer graphics. Unfortunately, theoretical solutions to the problem are not ver...
Boris Aronov, Hervé Brönnimann, Allen ...
SIGIR
2012
ACM
11 years 11 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...
CIKM
2007
Springer
14 years 3 months ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis