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News Recommenders: Real-Time, Real-Life Experiences

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User Modeling, Adaptation and Personalization (UMAP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9146))

Abstract

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

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References

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Correspondence to Doychin Doychev .

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© 2015 Springer International Publishing Switzerland

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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. https://doi.org/10.1007/978-3-319-20267-9_28

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  • DOI: https://doi.org/10.1007/978-3-319-20267-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20266-2

  • Online ISBN: 978-3-319-20267-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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