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SIGIR
2011
ACM
14 years 4 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
CONTEXT
2007
Springer
15 years 8 months ago
Discovering Hidden Contextual Factors for Implicit Feedback
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
Massimo Melucci, Ryen W. White
NAACL
2003
15 years 3 months ago
TAP-XL: An Automated Analyst's Assistant
The TAP-XL Automated Analyst’s Assistant is an application designed to help an Englishspeaking analyst write a topical report, culling information from a large inflow of multili...
Sean Colbath, Francis Kubala
CIKM
2008
Springer
15 years 3 months ago
A generative retrieval model for structured documents
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured documents pose challenges for probabilistic retrie...
Le Zhao, Jamie Callan
SCAI
2008
15 years 3 months ago
Towards Automatic Model Generation by Optimization
The problem of automatically selecting simulation models for autonomous agents depending on their current intentions and beliefs is considered in this paper. The intended use of t...
Per Nyblom, Patrick Doherty