extended-abstract

Modeling the Dynamics of Online News Reading Interests

Authors:

Elena Viorica Epure,

Benjamin Kille,

Jon Espen Ingvaldsen,

Rebecca Deneckere,

Camille Salinesi,

Sahin AlbayrakAuthors Info & Claims

UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

Pages 363 - 364

https://doi.org/10.1145/3079628.3079636

Published: 09 July 2017 Publication History

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Abstract

Online news readers exhibit a very dynamic behavior. News publishers have been investigating ways to predict such changes in order to adjust their recommendation strategies and better engage the readers. Existing research focuses on analyzing the evolution of reading interests associated with news categories. Compared to these, we study also how relations among news interests change in time. Observations over a 10-month period on a German news publisher indicate that overall, the relations amid news categories change, but stable periods spanning months are also found. The reasons of these changes and how news publishers could integrate this knowledge in their solutions are subject to further investigation.

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F. Bickenbach and E. Bode. 2003. Evaluating the Markov Property in Studies of Economic Convergence. International Regional Science Review 26, 3 (2003), 363--392.

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E. V. Epure, J. E. Ingvaldsen, R. Deneckere, and C. Salinesi. 2016. Process mining for recommender strategies support in news media. In Proceedings of the 10th International Conference on Research Challenges in Information Science. 1--12.

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Cited By

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Bogina VKuflik TJannach DBielikova MKompan MTrattner C(2022)Considering temporal aspects in recommender systems: a surveyUser Modeling and User-Adapted Interaction10.1007/s11257-022-09335-w33:1(81-119)Online publication date: 4-Jul-2022
https://doi.org/10.1007/s11257-022-09335-w
Veloso BAssunção RFerreira AZiviani N(2019)In Search of a Stochastic Model for the E-News ReaderACM Transactions on Knowledge Discovery from Data10.1145/336269513:6(1-27)Online publication date: 13-Nov-2019
https://dl.acm.org/doi/10.1145/3362695

Index Terms

Modeling the Dynamics of Online News Reading Interests
1. Information systems
  1. Information systems applications
    1. Data mining
      1. Data stream mining
    2. Decision support systems
      1. Data analytics
  2. World Wide Web
    1. Web mining
      1. Web log analysis
    2. Web searching and information discovery
      1. Personalization

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Information & Contributors

Information

Published In

UMAP '17: Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization

July 2017

420 pages

ISBN:9781450346351

DOI:10.1145/3079628

General Chairs:
Maria Bielikova
Slovak University of Technology in Bratislava, Slovakia
,
Eelco Herder
L3S Research Center, Germany and Radboud Universiteit Nijmegen, The Netherlands
,
Program Chairs:
Federica Cena
University of Torino, Italy
,
Michel Desmarais
Polytechnique University, Montreal, Canada

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 July 2017

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Extended-abstract

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UMAP '17

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UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization

July 9 - 12, 2017

Bratislava, Slovakia

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UMAP '17 Paper Acceptance Rate 29 of 80 submissions, 36%;

Overall Acceptance Rate 162 of 633 submissions, 26%

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UMAP '25

Sponsor:
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33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

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Cited By

View all

Bogina VKuflik TJannach DBielikova MKompan MTrattner C(2022)Considering temporal aspects in recommender systems: a surveyUser Modeling and User-Adapted Interaction10.1007/s11257-022-09335-w33:1(81-119)Online publication date: 4-Jul-2022
https://doi.org/10.1007/s11257-022-09335-w
Veloso BAssunção RFerreira AZiviani N(2019)In Search of a Stochastic Model for the E-News ReaderACM Transactions on Knowledge Discovery from Data10.1145/336269513:6(1-27)Online publication date: 13-Nov-2019
https://dl.acm.org/doi/10.1145/3362695

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