English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

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

Chakraborty, A., Ghosh, S., Ganguly, N., & Gummadi, K. (2019). Optimizing the Recency-Relevancy Trade-off in Online News Recommendations. Information Retrieval Journal, 22, 447-475. doi:10.1007/s10791-019-09351-2.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0005-F97E-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-F97F-5
Genre: Journal Article

Files

show Files
hide Files
:
Chakraborty2019_Article_OptimizingTheRecency-relevance.pdf (Publisher version), 2MB
Name:
Chakraborty2019_Article_OptimizingTheRecency-relevance.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
License:
-

Locators

show

Creators

show
hide
 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              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 20192019
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Chakraborty_Optimizing2019
DOI: 10.1007/s10791-019-09351-2
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Information Retrieval Journal
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Springer
Pages: - Volume / Issue: 22 Sequence Number: - Start / End Page: 447 - 475 Identifier: -