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» Ranking with Uncertain Scores
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SIGIR
2010
ACM
14 years 9 months ago
Score distribution models: assumptions, intuition, and robustness to score manipulation
Inferring the score distribution of relevant and non-relevant documents is an essential task for many IR applications (e.g. information filtering, recall-oriented IR, meta-search,...
Evangelos Kanoulas, Keshi Dai, Virgiliu Pavlu, Jav...
103
Voted
ISAAC
2007
Springer
118views Algorithms» more  ISAAC 2007»
15 years 3 months ago
Dynamic Structures for Top- k Queries on Uncertain Data
In an uncertain data set S = (S, p, f) where S is the ground set consisting of n elements, p : S → [0, 1] a probability function, and f : S → R a score function, each element i...
Jiang Chen, Ke Yi
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
15 years 11 months ago
Integrating and Ranking Uncertain Scientific Data
Mediator-based data integration systems resolve exploratory queries by joining data elements across sources. In the presence of uncertainties, such multiple expansions can quickly ...
Landon Detwiler, Wolfgang Gatterbauer, Brenton Lou...
CIKM
2006
Springer
15 years 1 months ago
Ranking robustness: a novel framework to predict query performance
In this paper, we introduce the notion of ranking robustness, which refers to a property of a ranked list of documents that indicates how stable the ranking is in the presence of ...
Yun Zhou, W. Bruce Croft
ICTIR
2009
Springer
15 years 4 months ago
Ranking List Dispersion as a Query Performance Predictor
Abstract. In this paper we introduce a novel approach for query performance prediction based on ranking list scores dispersion. Starting from the hypothesis that different score d...
Joaquín Pérez-Iglesias, Lourdes Arau...