Creating the next generation of news experience on ekstrabladet.dk with recommender systems

Johannes Kruse, Kasper Lindskow, Michael Riis Andersen, Jes Frellsen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

With the rise of algorithmic personalization, news organizations are finding it necessary to entrust traditionally held editorial values, such as prioritizing news for readers, to automated systems. In a case study conducted by Ekstra Bladet, the Platform Intelligent News project demonstrates how recommender systems successfully improved the click-through rates for various segments on ekstrabladet.dk, while still maintaining the news organization's editorial values.
Original languageEnglish
Title of host publicationProceedings of the 17th ACM Conference on Recommender Systems
PublisherAssociation for Computing Machinery
Publication date2023
Pages1067-1070
ISBN (Electronic)979-8-4007-0241-9
DOIs
Publication statusPublished - 2023
Event17th ACM Conference on Recommender Systems - Singapore, Singapore
Duration: 18 Sept 202322 Sept 2023

Conference

Conference17th ACM Conference on Recommender Systems
Country/TerritorySingapore
CitySingapore
Period18/09/202322/09/2023

Keywords

  • Recommender systems
  • Personalization
  • Evaluation of retrieval results

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