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Markus Reiter-Haas

Dipl.-Ing., BSc

20172020

Research output per year

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Research Output

  • 2 Article
  • 1 Conference contribution

Using autoencoders for session-based job recommendations

Lacic, E., Reiter-Haas, M., Kowald, D., Reddy Dareddy, M., Cho, J. & Lex, E., 1 Jan 2020, In : User Modeling and User-Adapted Interaction.

Research output: Contribution to journalArticle

Open Access
  • Should we embed? A study on the online performance of utilizing embeddings for real-time job recommendations

    Lacic, E., Reiter-Haas, M., Duricic, T., Slawicek, V. & Lex, E., 10 Sep 2019, RecSys 2019 - 13th ACM Conference on Recommender Systems. Association of Computing Machinery, p. 496-500 5 p. (RecSys 2019 - 13th ACM Conference on Recommender Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution