Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6796
Main Title: Workshop and Challenge on News Recommender Systems
Author(s): Tavakolifard, Mozhgan
Atle Gulla, Jon
Almeroth, Kevin C.
Hopfgartner, Frank
Kille, Benjamin
Plumbaum, Till
Lommatzsch, Andreas
Brodt, Torben
Bucko, Arthur
Heintz, Tobias
Type: Conference Object
Language Code: en
Abstract: Recommending news articles entails additional requirements to recommender systems. Such requirements include special con- sumption patterns, fluctuating item collections, and highly sparse user profiles. This workshop (NRS’13@RecSys) brought together researchers and practitioners around the topics of designing and evaluating novel news recommender systems. Additionally, we offered a challenge allowing participants to evaluate their recommendation algorithms with actual user feedback.
URI: https://depositonce.tu-berlin.de//handle/11303/7582
http://dx.doi.org/10.14279/depositonce-6796
Issue Date: 12-Oct-2013
Date Available: 16-Apr-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): algorithm
experimentation
recommender systems
news
License: http://rightsstatements.org/vocab/InC/1.0/
Proceedings Title: Proceedings of the 7th ACM conference on Recommender systems
Publisher: Association for Computing Machinery (ACM)
Publisher Place: New York, NY, USA
Publisher DOI: 10.1145/2507157.2508004
Page Start: 481
Page End: 482
ISBN: 978-1-4503-2409-0
Appears in Collections:FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT) » Publications

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