Hello! I’m Shogo Suzuki.

Currently, I’m working in Japan as a Search Relevance Engineer/Manager, with a particular focus on enhancing the search quality of E-commerce platforms. I have a keen interest in Machine Learning and Information Retrieval. I also write a blog about these topics (ja).

For any inquiries or further discussions, feel free to reach out to me on Twitter !

Experience

  • LY Corporation (Formarly: Yahoo Japan Corporation)
    • Search Relevance Team Manager, 2022/4 - present
    • Search Relevance Engineer, 2017/4 - 2022/3
  • FUJITSU LABORATORIES, Intern, 2015/8

Education

  • Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, 2015 - 2017
  • Department of Computer Science, School of Engineering, Tokyo Institute of Technology, 2011 - 2015

Skills

  • Programming Languages: Python, Scala
  • Search Engines: Experience with Solr, Elasticsearch, and Vespa.
  • Specialties: Skilled in Machine Learning, particulary in Learning to Rank, and search improvement.

Publications

Books

Papers

  • Shogo D. Suzuki, Yohei Iseki, Hiroaki Shiino, Hongwei Zhang, Aya Iwamoto, Fumihiko Takahashi: “Convolutional Neural Network and Bidirectional LSTM Based Taxonomy Classification Using External Dataset at SIGIR eCom Data Challenge”, SIGIR eCom'18, 2018. (refereed paper, workshop)
  • Shogo D. Suzuki, Masahito Ohue, Yutaka Akiyama: “PKRank: A novel learning-to-rank method for ligand-based virtual screening using pairwise kernel and RankSVM”, Artificial Life and Robotics, 2017. (refereed paper)
  • Keisuke Yanagisawa, Shunta Komine, Shogo D. Suzuki, Masahito Ohue, Takashi Ishida, Yutaka Akiyama: “Spresso: An ultrafast compound pre-screening method based on compound decomposition”, Bioinformatics, 2017. (refereed paper)

Talks