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Main Title: Users' reading habits in online news portals
Author(s): Esiyok, Cagdas
Kille, Benjamin
Jain, Brijnesh-Johannes
Hopfgartner, Frank
Albayrak, Sahin
Type: Conference Object
Language Code: en
Abstract: The aim of this study is to survey reading habits of users of an online news portal. The assumption motivating this study is that insight into the reading habits of users can be helpful to design better news recommendation systems. We estimated the transition probabilities that users who read an article of one news category will move to read an article of another (not necessarily distinct) news category. For this, we analyzed the users' click behavior within plista data set. Key findings are the popularity of category local, loyalty of readers to the same category, observing similar results when addressing enforced click streams, and the case that click behavior is highly influenced by the news category.
Issue Date: 2014
Date Available: 10-Jul-2018
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): click behavior
news category
user modeling
user habit
recommender systems
Sponsor/Funder: EC/FP7/610594/EU/Crowd-powered recommendation for continuous digital media access and exchange in social networks/CrowdRec
Proceedings Title: Proceedings of the 5th Information Interaction in Context Symposium
Publisher: Association for Computing Machinery (ACM)
Publisher Place: New York, NY
Publisher DOI: 10.1145/2637002.2637038
Page Start: 263
Page End: 266
ISBN: 978-1-4503-2976-8
Appears in Collections:FG Agententechnologien in betrieblichen Anwendungen und der Telekommunikation (AOT) » Publications

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