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  5. An Analysis of Recommender Algorithms for Online News
 
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An Analysis of Recommender Algorithms for Online News

Author(s)
Doychev, Doychin  
Lawlor, Aonghus  
Rafter, Rachael  
Smyth, Barry  
Uri
http://hdl.handle.net/10197/6665
Date Issued
2014-09-18
Date Available
2015-07-27T16:22:15Z
Abstract
This paper presents the recommendation algorithms used by the Insight UCD team participating in the CLEF-NewsREEL 2014 online news recommendation challenge.
Other Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Start Page
177
End Page
184
Subjects

Recommender systems

Online news

Web versions
http://clef2014.clef-initiative.eu/
http://ceur-ws.org/Vol-1180/
Language
English
Status of Item
Peer reviewed
Conference Details
CLEF 2014 Conference and Labs of the Evaluation Forum: Information Access Evaluation Meets Multilinguality, Multimodality and Interaction, 15-18 September 2014, Sheffield, United Kingdom
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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insight_publication.pdf

Size

525.65 KB

Format

Adobe PDF

Checksum (MD5)

63d190a486400c23b292d7f05d295cbc

Owning collection
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

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