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Sakai Tetsuya  酒井 哲也

ORCIDConnect your ORCID iD *help
Researcher Number 80723519
Other IDs
Affiliation (Current) 2025: 早稲田大学, 理工学術院, 教授
Affiliation (based on the past Project Information) *help 2016 – 2021: 早稲田大学, 理工学術院, 教授
Review Section/Research Field
Principal Investigator
Library and information science/Humanistic social informatics
Except Principal Investigator
Library and information science/Humanistic social informatics
Keywords
Principal Investigator
人工知能 / 情報検索 / 情報アクセス / 自然言語 / 評価 / 評価指標 / データセット / ordinal quantification / ナゲット / ヘルプデスク / 対話 … More
Except Principal Investigator
… More 検索実験の妥当性 / 多段階要約 / マルチファセット検索 / クエリ推薦 / 検索結果の多様化 / タスク / クエリマイニング / デジタル空間探索と実空間探索 / 評価実験用データセットの品質 / パーソナライズド検索 / Ostensive Search / 博物館鑑賞体験 / 気づき / 提示型検索 / 対話 / ユーザビヘイビア / ファセット検索 / ユーザの状況 / 探索的検索 Less
  • Research Projects

    (2 results)
  • Research Products

    (38 results)
  • Co-Researchers

    (5 People)
  •  Nugget-based Automatic Evaluation of Task-oriented dialoguesPrincipal Investigator

    • Principal Investigator
      Sakai Tetsuya
    • Project Period (FY)
      2017 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Library and information science/Humanistic social informatics
    • Research Institution
      Waseda University
  •  Exploratory Search Considering the User's Situation

    • Principal Investigator
      Kando Noriko
    • Project Period (FY)
      2016 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Library and information science/Humanistic social informatics
    • Research Institution
      National Institute of Informatics

All 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

  • [Journal Article] Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents?2022

    • Author(s)
      Tetsuya Sakai, Sijie Tao, and Zhaohao Zeng
    • Journal Title

      ACM Transactions on Information Systems (TOIS)

      Volume: 40(4) Issue: 4 Pages: 1-35

    • DOI

      10.1145/3494833

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] On the Two-Sample Randomisation Test for IR Evaluation2021

    • Author(s)
      Tetsuya Sakai
    • Journal Title

      Proceedings of SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)

      Volume: - Pages: 1980-1984

    • DOI

      10.1145/3404835.3463002

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] WWW3E8: 259,000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors2021

    • Author(s)
      Tetsuya Sakai, Sijie Tao and Zhaohao Zeng
    • Journal Title

      Proceedings of SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)

      Volume: - Pages: 2376-2382

    • DOI

      10.1145/3404835.3463236

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] A Closer Look at Evaluation Measures for Ordinal Quantification2021

    • Author(s)
      Tetsuya Sakai
    • Journal Title

      Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021)

      Volume: -

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] On the Instability of Diminishing Return IR Measures2021

    • Author(s)
      Tetsuya Sakai
    • Journal Title

      Proceedings of 43rd European Conference on IR Research, ECIR 2021 Part I (LNCS 12656)

      Volume: - Pages: 572-586

    • DOI

      10.1007/978-3-030-72113-8_38

    • ISBN
      9783030721121, 9783030721138
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Retrieval Evaluation Measures that Agree with Users’ SERP Preferences: Traditional, Preference-based, and Diversity Measures2020

    • Author(s)
      Tetsuya Sakai and Zhaohao Zeng
    • Journal Title

      ACM Transactions on Information Systems (ACM TOIS)

      Volume: 39(2) Issue: 2 Pages: 1-35

    • DOI

      10.1145/3431813

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Good Evaluation Measures based on Document Preferences2020

    • Author(s)
      Tetsuya Sakai and Zhaohao Zeng
    • Journal Title

      Proceedings of SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020)

      Volume: - Pages: 359-368

    • DOI

      10.1145/3397271.3401115

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Randomised vs. Prioritised Pools for Relevance Assessments: Sample Size Considerations2020

    • Author(s)
      Tetsuya Sakai and Peng Xiao
    • Journal Title

      Proceedings of Asia Information Retrieval Symposium2019, AIRS2019 (LNCS 12004)

      Volume: - Pages: 94-105

    • DOI

      10.1007/978-3-030-42835-8_9

    • ISBN
      9783030428341, 9783030428358
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] ユーザの感覚に近い多様化検索評価指標2020

    • Author(s)
      酒井哲也, Zhaohao Zeng
    • Journal Title

      FIT2020講演論文集

      Volume: CD-002

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Which Diversity Evaluation Measures Are “Good”?2019

    • Author(s)
      Tetsuya Sakai and Zhaohao Zeng
    • Journal Title

      Proceedings of SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019)

      Volume: - Pages: 595-604

    • DOI

      10.1145/3331184.3331215

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Comparing Two Binned Probability Distributions for Information Access Evaluation2018

    • Author(s)
      Sakai Tetsuya
    • Journal Title

      Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2018)

      Volume: 41 Pages: 1073-1076

    • DOI

      10.1145/3209978.3210073

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Topic Set Size Design for Paired and Unpaired Data2018

    • Author(s)
      Sakai Tetsuya
    • Journal Title

      Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2018)

      Volume: 8 Pages: 199-202

    • DOI

      10.1145/3234944.3234971

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Towards Automatic Evaluation of Customer-Helpdesk Dialogues2018

    • Author(s)
      Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai
    • Journal Title

      Journal of Information Processing

      Volume: 26 Issue: 0 Pages: 768-778

    • DOI

      10.2197/ipsjjip.26.768

    • NAID

      130007511649

    • ISSN
      1882-6652
    • Language
      English
    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Journal Article] Towards Automatic Evaluation of Multi-Turn Dialogues: A Task Design that Leverages Inherently Subjective Annotations2017

    • Author(s)
      Tetsuya Sakai
    • Journal Title

      Proceedings of the 8th International Workshop on Evaluating Information Access (EVIA 2017)

      Volume: 8 Pages: 24-30

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] LSTM vs. BM25 for Open-domain QA: A Hands-on Comparison of Effectiveness and Efficiency2017

    • Author(s)
      Sosuke Kato, Riku Togashi, Hideyuki Maeda, Sumio Fujita, and Tetsuya Sakai
    • Journal Title

      Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '17)

      Volume: 40 Pages: 1309-1312

    • DOI

      10.1145/3077136.3084147

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Investigating Users' Time Perception during Web Search2017

    • Author(s)
      Luo Cheng、Li Xue、Liu Yiqun、Sakai Tetsuya、Zhang Fan、Zhang Min、Ma Shaoping
    • Journal Title

      Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (CHIIR '17)

      Volume: 2 Pages: 127-136

    • DOI

      10.1145/3020165.3020184

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Ranking Rich Mobile Verticals based on Clicks and Abandonment2017

    • Author(s)
      Mami Kawasaki, Inho Kang, and Tetsuya Sakai.
    • Journal Title

      Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM '17)

      Volume: 2017 Pages: 2127-2130

    • DOI

      10.1145/3132847.3133059

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Mobile Vertical Ranking based on Preference Graphs2017

    • Author(s)
      Yuta Kadotami, Yasuaki Yoshida, Sumio Fujita, and Tetsuya Sakai
    • Journal Title

      Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR '17).

      Volume: 2017 Pages: 225-228

    • DOI

      10.1145/3121050.3121082

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Evaluating Mobile Search with Height-Biased Gain2017

    • Author(s)
      Cheng Luo, Yiqun Liu, Tetsuya Sakai, Fan Zhang, Min Zhang, and Shaoping Ma
    • Journal Title

      Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '17)

      Volume: 40 Pages: 435-444

    • DOI

      10.1145/3077136.3080795

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] The Probability that Your Hypothesis Is Correct, Credible Intervals, and Effect Sizes for IR Evaluation2017

    • Author(s)
      Tetsuya Sakai
    • Journal Title

      Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '17)

      Volume: 40 Pages: 25-34

    • DOI

      10.1145/3077136.3080766

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] he Effect of Inter-Assessor Disagreement on IR System Evaluation: A Case Study with Lancers and Students2017

    • Author(s)
      Tetsuya Sakai
    • Journal Title

      Proceedings of the 8th International Workshop on Evaluating Information Access (EVIA 2017)

      Volume: 8 Pages: 31-38

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Does Document Relevance Affect the Searcher's Perception of Time?2017

    • Author(s)
      Luo Cheng、Liu Yiqun、Sakai Tetsuya、Zhou Ke、Zhang Fan、Li Xue、Ma Shaoping
    • Journal Title

      Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM '17)

      Volume: 10 Pages: 141-150

    • DOI

      10.1145/3018661.3018694

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Two Sample T-tests for IR Evaluation2016

    • Author(s)
      Sakai Tetsuya
    • Journal Title

      Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR '16)

      Volume: 39 Pages: 1045-1048

    • DOI

      10.1145/2911451.2914684

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Statistical Significance, Power, and Sample Sizes2016

    • Author(s)
      Sakai Tetsuya
    • Journal Title

      Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR '16)

      Volume: 39 Pages: 5-14

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Evaluating Search Result Diversity using Intent Hierarchies2016

    • Author(s)
      Wang Xiaojie、Dou Zhicheng、Sakai Tetsuya、Wen Ji-Rong
    • Journal Title

      Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR '16)

      Volume: 39 Pages: 415-424

    • DOI

      10.1145/2911451.2911497

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] A Simple and Effective Approach to Score Standardisation2016

    • Author(s)
      Sakai Tetsuya
    • Journal Title

      Proceedings of the 2016 ACM International Conference on the Theory of Information Retrieval (ICTIR '16)

      Volume: 2 Pages: 95-104

    • DOI

      10.1145/2970398.2970399

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] Topic set size design2016

    • Author(s)
      Sakai Tetsuya
    • Journal Title

      Information Retrieval Journal (June 2016)

      Volume: 19 Issue: 3 Pages: 256-283

    • DOI

      10.1007/s10791-015-9273-z

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Journal Article] The Effect of Score Standardisation on Topic Set Size Design2016

    • Author(s)
      Sakai Tetsuya
    • Journal Title

      Ma S. et al. (eds) Information Retrieval Technology. AIRS 2016. (Lecture Notes in Computer Science, vol 9994)

      Volume: 12 Pages: 16-28

    • DOI

      10.1007/978-3-319-48051-0_2

    • ISBN
      9783319480503, 9783319480510
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Presentation] RSLNV at the NTCIR-15 Dialogue Evaluation (DialEval-1) Task2020

    • Author(s)
      Ting Cao, Fan Zhang, Haoxiang Shi, Zhaohao Zeng, Sosuke Kato, Tetsuya Sakai, Injae Lee, Kyungduk Kim, and Inho Kang
    • Organizer
      NTCIR-15
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Presentation] Overview of the NTCIR-15 Dialogue Evaluation (DialEval-1) Task2020

    • Author(s)
      Zhaohao Zeng, Sosuke Kato, Tetsuya Sakai, and Inho Kang
    • Organizer
      NTCIR-15
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Presentation] SKYMN at the NTCIR-15 DialEval-1 Task2020

    • Author(s)
      Junjie Wang, Yuxiang Zhang, Tetsuya Sakai, and Hayato Yamana
    • Organizer
      NTCIR-15
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Presentation] Overview of the NTCIR-14 Short Text Conversation Task: Dialogue Quality and Nugget Detection Subtasks2019

    • Author(s)
      Zhaohao Zeng and Sosuke Kato and Tetsuya Sakai
    • Organizer
      NTCIR-15
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Presentation] SLSTC at the NTCIR-14 STC-3 Dialogue Quality and Nugget Detection Subtasks2019

    • Author(s)
      Sosuke Kato and Rikiya Suzuki and Zhaohao Zeng and Tetsuya Sakai
    • Organizer
      NTCIR-15
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Presentation] Comparing Two BinnedProbability Distributions for Information Access Evaluation2018

    • Author(s)
      Tetsuya Sakai
    • Organizer
      ACM SIGIR 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Presentation] Towards Automatic Evaluation of Multi-Turn Dialogues: A Task Design that Leverages Inherently Subjective Annotations2017

    • Author(s)
      Sakai, T.
    • Organizer
      The 8th International Workshop on Evaluating Information Access (EVIA 2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Presentation] Test Collections and Measures for Evaluating Customer-Helpdesk Dialogues2017

    • Author(s)
      Zeng, Z., Luo, C., Shang, L., Li, H., and Sakai, T.
    • Organizer
      The 8th International Workshop on Evaluating Information Access (EVIA 2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H01830
  • [Presentation] On Estimating Variances for Topic Set Size Design2016

    • Author(s)
      Tetsuya Sakai*, Lifeng Shang
    • Organizer
      Proceedings of the Seventh International Workshop on Evaluating Information Access (EVIA 2016), June 7, 2016 Tokyo Japan pp.9-12 【査読あり】
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • [Presentation] Two-layered Summaries for Mobile Search: Does the Evaluation Measure Reflect User Preferences?2016

    • Author(s)
      Makoto P. Kato*, Virgil Pavlu, Tetsuya Sakai, Takehiro Yamamoto, Hajime Morita
    • Organizer
      Proceedings of the Seventh International Workshop on Evaluating Information Access (EVIA 2016), June 7, 2016 Tokyo Japan pp.29-32 【査読あり】
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16H01756
  • 1.  Kando Noriko (80270445)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  吉岡 真治 (40290879)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  山本 岳洋 (70717636)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 4.  相澤 彰子 (90222447)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  大島 裕明 (90452317)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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