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In order to adopt deep learning for information retrieval, models are needed that can capture all relevant information required to assess the relevance of a document to a given user query.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Variations in relevance judgments and the measurement of retrieval effectiveness
Ellen M Voorhees. 2000 · 2000
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Donald Metzler and W Bruce Croft. 2005 · 2005
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Azzah Al-Maskari, Mark Sanderson, and Paul Clough. 2008 · 2008
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Here or there: Preference Judgments for Relevance
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Expected reciprocal rank for graded relevance
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A comparison of retrieval models using term dependencies
A deep relevance matching model for ad-hoc retrieval
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Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, and Xueqi Cheng. 2016 · 2016
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Position-aware representations for relevance matching in neural information retrieval
Kai Hui, Andrew Yates, Klaus Berberich, and Gerard de Melo. 2017 · 2017
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Learning to match using local and distributed representations of text for web search
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Samuel Huston and W. Bruce Croft. 2014 · 2014
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