WassRank - Listwise Document Ranking Using Optimal Transport Theory

WSDM, pp. 24-32, 2019.

Cited by: 1|Bibtex|Views62|DOI:https://doi.org/10.1145/3289600.3291006
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Learning to rank has been intensively studied and has shown great value in many fields, such as web search, question answering and recommender systems. This paper focuses on listwise document ranking, where all documents associated with the same query in the training data are used as the input. We propose a novel ranking method, referred ...More

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