Incorporating user feedback to re-rank keyword search results

Abstract

This paper capitalizes on user feedback of a keyword search engine to improve search performance on queries users are actively searching for. We assume users give a binary label as to whether a hypothesized token is correct. This signal is used to train a support vector machine to re-rank lattice posteriors using additional features derived from automatic… (More)
DOI: 10.1109/ASRU.2015.7404794

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Cite this paper

@article{Novotney2015IncorporatingUF, title={Incorporating user feedback to re-rank keyword search results}, author={Scott Novotney and Kevin Jett and Owen Kimball}, journal={2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)}, year={2015}, pages={192-199} }