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Towards Recency Ranking in Community Question Answering: A Case Study of Stack Overflow

Published: 17 October 2017 Publication History

Abstract

In Community Question Answering, recency ranking refers to put the freshness answers with high quality in top positions of a ranking. Freshness is not related to how recent is the answer creation date, but to how up-to-date is the answer content. This is extremely important because the users need to get best answers quickly to solve their questions and, usually, they expect up-to-date solutions. In this paper, we propose a new approach to provide recency ranking in these environments and present a set of experiments that show the effectiveness of our proposal.

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WebMedia '17: Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web
October 2017
522 pages
ISBN:9781450350969
DOI:10.1145/3126858
© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

Sponsors

  • SBC: Brazilian Computer Society
  • CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
  • CGIBR: Comite Gestor da Internet no Brazil
  • CAPES: Brazilian Higher Education Funding Council

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Association for Computing Machinery

New York, NY, United States

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Published: 17 October 2017

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Author Tags

  1. community question answering
  2. recency ranking

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  • Research-article

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Webmedia '17
Sponsor:
  • SBC
  • CNPq
  • CGIBR
  • CAPES
Webmedia '17: Brazilian Symposium on Multimedia and the Web
October 17 - 20, 2017
RS, Gramado, Brazil

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WebMedia '17 Paper Acceptance Rate 38 of 138 submissions, 28%;
Overall Acceptance Rate 270 of 873 submissions, 31%

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