Koki Nagatani

Koki Nagatani

  • Machine learning
    data mining

I'm interested in modeling human's thinking behind his behavior. Revealing each person's thinking or value from his behavior can offer personalized services.
By doing so, I will contribute to vehicles' safety improvement and create more valuable mobility services.

  • Department

    • InfoTech AS,
      Social System PF Development Div.
  • Biography

    • 2020-
      now

      Conducted research on vehicle data analysis at Toyota Motor Corporation

    • 2015-
      2020

      Conducted research on machine learning for images, texts and tabular data and development of new business at a manufacturer

    • 2015

      Master's Degree in engineering at Keio University

    • 2013

      Bachelor's Degree in science and engineering at Keio University

  • Publication List/Conference presentation

    Conference Papers

    • Augmenting Knowledge Tracing by Considering Forgetting Behavior, WWW'19.

    • Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity, RecTemp@RecSys 2017.

    • Restricted Boltzmann machine associative memory, IJCNN 2014.

  • Commendation/Memberships

    • 3rd prize in RecSys Challenge 2017

    • 2nd prize in Linkbal Event Recommender System Challenge

    • 1st prize in author profiling at Pan@CLEF 2018