International Conference on User Modeling, Adaptation, and Personalization

UMAP 2015: User Modeling, Adaptation and Personalization pp 337-342

News Recommenders: Real-Time, Real-Life Experiences

  • Doychin Doychev
  • Rachael Rafter
  • Aonghus Lawlor
  • Barry Smyth
Conference paper

DOI: 10.1007/978-3-319-20267-9_28

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9146)
Cite this paper as:
Doychev D., Rafter R., Lawlor A., Smyth B. (2015) News Recommenders: Real-Time, Real-Life Experiences. In: Ricci F., Bontcheva K., Conlan O., Lawless S. (eds) User Modeling, Adaptation and Personalization. UMAP 2015. Lecture Notes in Computer Science, vol 9146. Springer, Cham

Abstract

In this paper we share our experiences of working with a real-time news recommendation framework with real-world user and data.

Keywords

Real-life experiences News Recommender Systems 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Doychin Doychev
    • 1
  • Rachael Rafter
    • 1
  • Aonghus Lawlor
    • 1
  • Barry Smyth
    • 1
  1. 1.Insight Centre for Data AnalyticsUniversity College Dublin BelfieldDublin 4Ireland

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