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  Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities

Biega, A. J., Ghazimatin, A., Ferhatosmanoglu, H., Gummadi, K. P., & Weikum, G. (2017). Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities. In CIKM'17 (pp. 267-276). New York, NY: ACM. doi:10.1145/3132847.3133040.

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Genre: Conference Paper
Latex : Learning to Un-Rank: {Q}uantifying Search Exposure for Users in Online Communities

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fp2146-biegaA-hm.pdf (Preprint), 749KB
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© A.Biega | ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2017 ACM Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3132847.3133040.
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 Creators:
Biega, Asia J.1, Author           
Ghazimatin, Azin1, Author           
Ferhatosmanoglu, Hakan2, Author
Gummadi, Krishna P.2, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20172017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Biega_CIKM2017
DOI: 10.1145/3132847.3133040
 Degree: -

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Title: 26th ACM International Conference on Information and Knowledge Management
Place of Event: Singapore, Singapore
Start-/End Date: 2017-11-06 - 2017-11-10

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Project name : imPACT
Grant ID : 610150
Funding program : Funding Programme 7 (FP7)
Funding organization : European Commission (EC)

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Title: CIKM'17
  Subtitle : Proceedings of the 2017 ACM Conference on Information and Knowledge Management
  Abbreviation : CIKM 2017
Source Genre: Proceedings
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Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 267 - 276 Identifier: ISBN: 978-1-4503-4918-5