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  Optimizing the Recency-Relevancy Trade-off in Online News Recommendations

Chakraborty, A., Ghosh, S., Ganguly, N., & Gummadi, K. (2017). Optimizing the Recency-Relevancy Trade-off in Online News Recommendations. In WWW'17 (pp. 837-846). New York, NY: ACM. doi:10.1145/3038912.3052660.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-DE9D-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0000-DE9E-5
Genre: Conference Paper

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 Creators:
Chakraborty, Abhijnan1, Author           
Ghosh, Saptasrshi2, Author           
Ganguly, Niloy2, Author           
Gummadi, Krishna1, Author           
Affiliations:
1Group K. Gummadi, Max Planck Institute for Software Systems, Max Planck Society, ou_2105291              
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: ZafarWWW2017
DOI: 10.1145/3038912.3052660
 Degree: -

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Title: 26th International Conference on World Wide Web
Place of Event: Perth, Australia
Start-/End Date: 2017-04-03 - 2017-04-07

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Title: WWW'17
  Abbreviation : WWW 2017
  Subtitle : Proceedings of the 26th International Conference on World Wide Web
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 837 - 846 Identifier: ISBN: 978-1-4503-4913-0