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» Modeling score distributions in information retrieval
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ECIR
2009
Springer
14 years 4 months ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
TREC
2004
13 years 9 months ago
Conceptual Language Models for Context-Aware Text Retrieval
While participating in the HARD track our first question was, what an IR-application should look like that takes into account preference meta-data from the user, without the need ...
Henning Rode, Djoerd Hiemstra
HCI
2001
13 years 9 months ago
Distributed user modelling for universal information access
In a distributed multi-agent based software environment, the traditional monolithic user model ceases to exist and is replaced by user model fragments, developed by the various so...
Julita Vassileva
WWW
2010
ACM
14 years 2 months ago
Tracking the random surfer: empirically measured teleportation parameters in PageRank
PageRank computes the importance of each node in a directed graph under a random surfer model governed by a teleportation parameter. Commonly denoted alpha, this parameter models ...
David F. Gleich, Paul G. Constantine, Abraham D. F...
SIGIR
2006
ACM
14 years 1 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova