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ORCIDTetsuya Sakai
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- affiliation: Waseda University, Japan
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2020 – today
- 2024
[j42]Tetsuya Sakai, Jinyoung Kim, Inho Kang:
A Versatile Framework for Evaluating Ranked Lists in Terms of Group Fairness and Relevance. ACM Trans. Inf. Syst. 42(1): 11:1-11:36 (2024)- [j41]Kevin Roitero, David La Barbera, Michael Soprano, Gianluca Demartini, Stefano Mizzaro, Tetsuya Sakai:
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments. ACM Trans. Inf. Syst. 42(1): 21:1-21:26 (2024) - [j40]Tetsuya Sakai, Sijie Tao, Nuo Chen, Yujing Li, Maria Maistro, Zhumin Chu, Nicola Ferro:
On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments. ACM Trans. Inf. Syst. 42(1): 23:1-23:31 (2024) - 2023
- [j39]Haoxiang Shi
, Tetsuya Sakai:
Self-Supervised and Few-Shot Contrastive Learning Frameworks for Text Clustering. IEEE Access 11: 84134-84143 (2023) - [c204]Yatai Ji, Junjie Wang, Yuan Gong, Lin Zhang, Yanru Zhu, Hongfa Wang, Jiaxing Zhang, Tetsuya Sakai, Yujiu Yang:
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model. CVPR 2023: 23262-23271 - [c203]Tetsuya Sakai:
Evaluating Parrots and Sociopathic Liars (keynote). ICTIR 2023: 1 - [c202]Nuo Chen, Donghyun Park, Hyungae Park, Kijun Choi, Tetsuya Sakai, Jinyoung Kim:
Practice and Challenges in Building a Business-oriented Search Engine Quality Metric. SIGIR 2023: 3295-3299 - [c201]Yiyao Yu, Junjie Wang, Yuxiang Zhang, Lin Zhang, Yujiu Yang, Tetsuya Sakai:
EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval. SIGIR-AP 2023: 32-39 - [c200]Rikiya Takehi, Akihisa Watanabe, Tetsuya Sakai:
Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores. SIGIR-AP 2023: 40-45 - [c199]Zhumin Chu, Tetsuya Sakai, Qingyao Ai, Yiqun Liu:
Chuweb21D: A Deduped English Document Collection for Web Search Tasks. SIGIR-AP 2023: 63-72 - [c198]Nuo Chen, Jiqun Liu, Tetsuya Sakai:
A Reference-Dependent Model for Web Search Evaluation: Understanding and Measuring the Experience of Boundedly Rational Users. WWW 2023: 3396-3405 - [e13]Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel:
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023. ACM 2023 [contents] - [i21]Yuxiang Zhang, Junjie Wang, Xinyu Zhu, Tetsuya Sakai, Hayato Yamana:
NER-to-MRC: Named-Entity Recognition Completely Solving as Machine Reading Comprehension. CoRR abs/2305.03970 (2023) - [i20]Qijiong Liu, Nuo Chen, Tetsuya Sakai, Xiao-Ming Wu:
A First Look at LLM-Powered Generative News Recommendation. CoRR abs/2305.06566 (2023) - [i19]Tetsuya Sakai:
SWAN: A Generic Framework for Auditing Textual Conversational Systems. CoRR abs/2305.08290 (2023) - [i18]Nuo Chen, Tetsuya Sakai:
A Meta-Evaluation of C/W/L/A Metrics: System Ranking Similarity, System Ranking Consistency and Discriminative Power. CoRR abs/2307.02936 (2023) - [i17]Haoxiang Shi, Sumio Fujita, Tetsuya Sakai:
Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval. CoRR abs/2308.02926 (2023) - [i16]Rikiya Takehi, Akihisa Watanabe, Tetsuya Sakai:
Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores. CoRR abs/2310.00410 (2023) - [i15]Yiyao Yu, Junjie Wang, Yuxiang Zhang, Lin Zhang, Yujiu Yang, Tetsuya Sakai:
EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval. CoRR abs/2310.00970 (2023) - [i14]Nuo Chen, Jiqun Liu, Tetsuya Sakai, Xiao-Ming Wu:
Decoy Effect in Search Interaction: A Pilot Study. CoRR abs/2311.02362 (2023) - 2022
- [j38]Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? ACM Trans. Inf. Syst. 40(4): 76:1-76:35 (2022) - [c197]Haoxiang Shi, Rongsheng Zhang, Jiaan Wang, Cen Wang, Yinhe Zheng, Tetsuya Sakai:
LayerConnect: Hypernetwork-Assisted Inter-Layer Connector to Enhance Parameter Efficiency. COLING 2022: 3120-3126 - [c196]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CVPR 2022: 21044-21053 - [c195]Ping Yang, Junjie Wang, Ruyi Gan, Xinyu Zhu, Lin Zhang, Ziwei Wu, Xinyu Gao, Jiaxing Zhang, Tetsuya Sakai:
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective. EMNLP 2022: 7042-7055 - [c194]Rei Shimizu, Sumio Fujita, Tetsuya Sakai:
Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles? ICTIR 2022: 133-137 - [c193]Yuji Naraki, Tetsuya Sakai, Yoshihiko Hayashi:
Evaluating the Effects of Embedding with Speaker Identity Information in Dialogue Summarization. LREC 2022: 298-304 - [c192]Atsuko Natatsuka, Ryo Iijima, Takuya Watanabe, Mitsuaki Akiyama, Tetsuya Sakai, Tatsuya Mori:
Understanding the Behavior Transparency of Voice Assistant Applications Using the ChatterBox Framework. RAID 2022: 143-159 - [c191]Nuo Chen, Fan Zhang, Tetsuya Sakai:
Constructing Better Evaluation Metrics by Incorporating the Anchoring Effect into the User Model. SIGIR 2022: 2709-2714 - [i13]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CoRR abs/2203.16062 (2022) - [i12]Tetsuya Sakai, Jin Young Kim, Inho Kang:
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance. CoRR abs/2204.00280 (2022) - [i11]Tetsuya Sakai:
On Variants of Root Normalised Order-aware Divergence and a Divergence based on Kendall's Tau. CoRR abs/2204.07304 (2022) - [i10]Yatai Ji, Junjie Wang, Yuan Gong, Lin Zhang, Yanru Zhu, Hongfa Wang, Jiaxing Zhang, Tetsuya Sakai, Yujiu Yang:
MAP: Modality-Agnostic Uncertainty-Aware Vision-Language Pre-training Model. CoRR abs/2210.05335 (2022) - [i9]Ping Yang, Junjie Wang, Ruyi Gan, Xinyu Zhu, Lin Zhang, Ziwei Wu, Xinyu Gao, Jiaxing Zhang, Tetsuya Sakai:
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective. CoRR abs/2210.08590 (2022) - [i8]Tetsuya Sakai, Sijie Tao, Maria Maistro, Zhumin Chu, Yujing Li, Nuo Chen, Nicola Ferro, Junjie Wang, Ian Soboroff, Yiqun Liu:
Corrected Evaluation Results of the NTCIR WWW-2, WWW-3, and WWW-4 English Subtasks. CoRR abs/2210.10266 (2022) - [i7]Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
Relevance Assessments for Web Search Evaluation: Should We Randomise or Prioritise the Pooled Documents? (Corrected Version). CoRR abs/2211.00981 (2022) - 2021
- [j37]Tetsuya Sakai, Zhaohao Zeng:
Retrieval Evaluation Measures that Agree with Users' SERP Preferences: Traditional, Preference-based, and Diversity Measures. ACM Trans. Inf. Syst. 39(2): 14:1-14:35 (2021) - [c190]Tetsuya Sakai:
Evaluating Evaluation Measures for Ordinal Classification and Ordinal Quantification. ACL/IJCNLP (1) 2021: 2759-2769 - [c189]Jia Chen, Yiqun Liu, Jiaxin Mao, Fan Zhang, Tetsuya Sakai, Weizhi Ma, Min Zhang, Shaoping Ma:
Incorporating Query Reformulating Behavior into Web Search Evaluation. CIKM 2021: 171-180 - [c188]Zhumin Chu, Jiaxin Mao, Fan Zhang, Yiqun Liu, Tetsuya Sakai, Min Zhang, Shaoping Ma:
Evaluating Relevance Judgments with Pairwise Discriminative Power. CIKM 2021: 261-270 - [c187]Tetsuya Sakai:
A Closer Look at Evaluation Measures for Ordinal Quantification. CIKM Workshops 2021 - [c186]Yuki Amemiya, Tomohiro Manabe, Sumio Fujita, Tetsuya Sakai:
How Do Users Revise Zero-Hit Product Search Queries? ECIR (2) 2021: 185-192 - [c185]Tetsuya Sakai:
On the Instability of Diminishing Return IR Measures. ECIR (1) 2021: 572-586 - [c184]Junjie Wang, Yatai Ji, Jiaqi Sun, Yujiu Yang, Tetsuya Sakai:
MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question Answering. EMNLP (Findings) 2021: 2280-2292 - [c183]Rikiya Suzuki, Tetsuya Sakai:
A Fast and Exact Randomisation Test for Comparing Two Systems with Paired Data. ICTIR 2021: 239-243 - [c182]Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. SIGIR 2021: 921-931 - [c181]Tetsuya Sakai:
On the Two-Sample Randomisation Test for IR Evaluation. SIGIR 2021: 1980-1984 - [c180]Tetsuya Sakai, Sijie Tao, Zhaohao Zeng:
WWW3E8: 259, 000 Relevance Labels for Studying the Effect of Document Presentation Order for Relevance Assessors. SIGIR 2021: 2376-2382 - [c179]Haoxiang Shi, Cen Wang, Tetsuya Sakai:
A Simple and Effective Usage of Self-supervised Contrastive Learning for Text Clustering. SMC 2021: 315-320 - [e12]Fernando Diaz, Chirag Shah, Torsten Suel, Pablo Castells, Rosie Jones, Tetsuya Sakai:
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021. ACM 2021, ISBN 978-1-4503-8037-9 [contents] - [i6]Zhaohao Zeng, Tetsuya Sakai:
DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels. CoRR abs/2104.08755 (2021) - [i5]Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. CoRR abs/2105.04769 (2021) - 2020
- [j36]Zhicheng Dou, Xue Yang, Diya Li, Ji-Rong Wen, Tetsuya Sakai:
Low-cost, bottom-up measures for evaluating search result diversification. Inf. Retr. J. 23(1): 86-113 (2020) - [j35]Tetsuya Sakai:
On Fuhr's guideline for IR evaluation. SIGIR Forum 54(1): 12:1-12:8 (2020) - [c178]Haoxiang Shi, Cen Wang, Tetsuya Sakai:
A Siamese CNN Architecture for Learning Chinese Sentence Similarity. AACL/IJCNLP (Student Research Workshop) 2020: 24-29 - [c177]Riku Togashi, Sumio Fujita, Tetsuya Sakai:
Automatic Evaluation of Iconic Image Retrieval based on Colour, Shape, and Texture. ICMR 2020: 346-354 - [c176]Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff:
How to Measure the Reproducibility of System-oriented IR Experiments. SIGIR 2020: 349-358 - [c175]Tetsuya Sakai, Zhaohao Zeng:
Good Evaluation Measures based on Document Preferences. SIGIR 2020: 359-368 - [c174]Riku Togashi, Tetsuya Sakai:
Visual Intents vs. Clicks, Likes, and Purchases in E-commerce. SIGIR 2020: 1869-1872 - [c173]Sijie Tao, Tetsuya Sakai:
RealSakaiLab at the TREC 2020 Health Misinformation Track. TREC 2020 - [i4]Shiyoh Goetsu, Tetsuya Sakai:
Different Types of Voice User Interface Failures May Cause Different Degrees of Frustration. CoRR abs/2002.03582 (2020) - [i3]Timo Breuer, Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Philipp Schaer, Ian Soboroff:
How to Measure the Reproducibility of System-oriented IR Experiments. CoRR abs/2010.13447 (2020)
2010 – 2019
- 2019
- [j34]Zhaohao Zeng, Ruihua Song, Pingping Lin, Tetsuya Sakai:
Attitude Detection for One-Round Conversation: Jointly Extracting Target-Polarity Pairs. J. Inf. Process. 27: 742-751 (2019) - [j33]Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Zhongxia Chen, Xing Xie, Xueming Qian:
Personalized Reason Generation for Explainable Song Recommendation. ACM Trans. Intell. Syst. Technol. 10(4): 41:1-41:21 (2019) - [c172]Hsin Wen Liu, Sumio Fujita, Tetsuya Sakai:
Towards Automatic Evaluation of Reused Answers in Community Question Answering. AIRS 2019: 3-9 - [c171]Sosuke Kato, Toru Shimizu, Sumio Fujita, Tetsuya Sakai:
Unsupervised Answer Retrieval with Data Fusion for Community Question Answering. AIRS 2019: 10-21 - [c170]Rikiya Suzuki, Sumio Fujita, Tetsuya Sakai:
Arc Loss: Softmax with Additive Angular Margin for Answer Retrieval. AIRS 2019: 34-40 - [c169]Tetsuya Sakai, Peng Xiao:
Randomised vs. Prioritised Pools for Relevance Assessments: Sample Size Considerations. AIRS 2019: 94-105 - [c168]Peng Xiao, Joo-Young Lee, Sijie Tao, Young-Sook Hwang, Tetsuya Sakai:
Generating Short Product Descriptors Based on Very Little Training Data. AIRS 2019: 133-144 - [c167]Atsuko Natatsuka, Ryo Iijima, Takuya Watanabe, Mitsuaki Akiyama, Tetsuya Sakai, Tatsuya Mori:
Poster: A First Look at the Privacy Risks of Voice Assistant Apps. CCS 2019: 2633-2635 - [c166]Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff:
CENTRE@CLEF2019: Overview of the Replicability and Reproducibility Tasks. CLEF (Working Notes) 2019 - [c165]Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff:
Overview of CENTRE@CLEF 2019: Sequel in the Systematic Reproducibility Realm. CLEF 2019: 287-300 - [c164]Nicola Ferro, Norbert Fuhr, Maria Maistro, Tetsuya Sakai, Ian Soboroff:
CENTRE@CLEF 2019. ECIR (2) 2019: 283-290 - [c163]Douglas W. Oard, Tetsuya Sakai, Noriko Kando:
Celebrating 20 Years of NTCIR: The Book. EVIA@NTCIR 2019 - [c162]Riku Togashi, Tetsuya Sakai:
Generalising Kendall's Tau for Noisy and Incomplete Preference Judgements. ICTIR 2019: 193-196 - [c161]Chih-Hao Wang, Sosuke Kato, Tetsuya Sakai:
RSL19BD at DBDC4: Ensemble of Decision Tree-Based and LSTM-Based Models. IWSDS 2019: 429-441 - [c160]Chao-Chung Wu, Ruihua Song, Tetsuya Sakai, Wen-Feng Cheng, Xing Xie, Shou-De Lin:
Evaluating Image-Inspired Poetry Generation. NLPCC (1) 2019: 539-551 - [c159]Ryan Clancy, Nicola Ferro, Claudia Hauff, Jimmy Lin, Tetsuya Sakai, Ze Zhong Wu:
Overview of the 2019 Open-Source IR Replicability Challenge (OSIRRC 2019). OSIRRC@SIGIR 2019: 1-7 - [c158]Zhaohao Zeng, Tetsuya Sakai:
BM25 Pseudo Relevance Feedback Using Anserini at Waseda University. OSIRRC@SIGIR 2019: 62-63 - [c157]Tetsuya Sakai, Zhaohao Zeng:
Which Diversity Evaluation Measures Are "Good"? SIGIR 2019: 595-604 - [c156]Ryan Clancy, Nicola Ferro, Claudia Hauff, Jimmy Lin, Tetsuya Sakai, Ze Zhong Wu:
The SIGIR 2019 Open-Source IR Replicability Challenge (OSIRRC 2019). SIGIR 2019: 1432-1434 - [c155]Shigeichi Hirasawa, Gendo Kumoi, Hideki Yagi, Manabu Kobayashi, Masayuki Goto, Tetsuya Sakai, Hiroshige Inazumi:
System Evaluation of Ternary Error-Correcting Output Codes for Multiclass Classification Problems. SMC 2019: 2893-2898 - [c154]Shiyoh Goetsu, Tetsuya Sakai:
Voice Input Interface Failures and Frustration: Developer and User Perspectives. UIST (Adjunct Volume) 2019: 24-26 - [c153]Zhaohao Zeng, Ruihua Song, Pingping Lin, Tetsuya Sakai:
Attitude Detection for One-Round Conversation: Jointly Extracting Target-Polarity Pairs. WSDM 2019: 285-293 - [c152]Tetsuya Sakai:
Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-On Tutorial. WSDM 2019: 830-831 - [p1]Tetsuya Sakai:
How to Run an Evaluation Task - With a Primary Focus on Ad Hoc Information Retrieval. Information Retrieval Evaluation in a Changing World 2019: 71-102 - [e11]Ryan Clancy, Nicola Ferro, Claudia Hauff, Jimmy Lin, Tetsuya Sakai, Ze Zhong Wu:
Proceedings of the Open-Source IR Replicability Challenge co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, OSIRRC@SIGIR 2019, Paris, France, July 25, 2019. CEUR Workshop Proceedings 2409, CEUR-WS.org 2019 [contents] - [i2]Tetsuya Sakai:
Graded Relevance Assessments and Graded Relevance Measures of NTCIR: A Survey of the First Twenty Years. CoRR abs/1903.11272 (2019) - [i1]Chih-Hao Wang, Sosuke Kato, Tetsuya Sakai:
RSL19BD at DBDC4: Ensemble of Decision Tree-based and LSTM-based Models. CoRR abs/1905.01799 (2019) - 2018
- [b1]Tetsuya Sakai:
Laboratory Experiments in Information Retrieval - Sample Sizes, Effect Sizes, and Statistical Power. The Information Retrieval Series 40, Springer 2018, ISBN 978-981-13-1198-7, pp. 1-148 - [j32]Takuya Watanabe, Mitsuaki Akiyama, Tetsuya Sakai, Hironori Washizaki, Tatsuya Mori:
Understanding the Inconsistency between Behaviors and Descriptions of Mobile Apps. IEICE Trans. Inf. Syst. 101-D(11): 2584-2599 (2018) - [j31]Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai:
Towards Automatic Evaluation of Customer-Helpdesk Dialogues. J. Inf. Process. 26: 768-778 (2018) - [j30]Yiqun Liu, Makoto P. Kato, Charles L. A. Clarke, Noriko Kando, Tetsuya Sakai:
Report on NTCIR-13: The Thirteenth Round of NII Testbeds and Community for Information Access Research. SIGIR Forum 52(1): 102-110 (2018) - [j29]Xiaojie Wang, Ji-Rong Wen, Zhicheng Dou, Tetsuya Sakai, Rui Zhang:
Search Result Diversity Evaluation Based on Intent Hierarchies. IEEE Trans. Knowl. Data Eng. 30(1): 156-169 (2018) - [c151]Nicola Ferro, Maria Maistro, Tetsuya Sakai, Ian Soboroff:
CENTRE@CLEF2018: Overview of the Replicability Task. CLEF (Working Notes) 2018 - [c150]Nicola Ferro, Maria Maistro, Tetsuya Sakai, Ian Soboroff:
Overview of CENTRE@CLEF 2018: A First Tale in the Systematic Reproducibility Realm. CLEF 2018: 239-246 - [c149]Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian:
Why You Should Listen to This Song: Reason Generation for Explainable Recommendation. ICDM Workshops 2018: 1316-1322 - [c148]Tetsuya Sakai:
Topic Set Size Design for Paired and Unpaired Data. ICTIR 2018: 199-202 - [c147]Kenta Tamaki, Riku Togashi, Sosuke Kato, Sumio Fujita, Hideyuki Maeda, Tetsuya Sakai:
Classifying Community QA Questions That Contain an Image. ICTIR 2018: 219-222 - [c146]Tetsuya Sakai:
Comparing Two Binned Probability Distributions for Information Access Evaluation. SIGIR 2018: 1073-1076 - [c145]Tetsuya Sakai:
Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-on Tutorial. SIGIR 2018: 1369-1370 - [e10]Yuen-Hsien Tseng, Tetsuya Sakai, Jing Jiang, Lun-Wei Ku, Dae Hoon Park, Jui-Feng Yeh, Liang-Chih Yu, Lung-Hao Lee, Zhi-Hong Chen:
Information Retrieval Technology - 14th Asia Information Retrieval Societies Conference, AIRS 2018, Taipei, Taiwan, November 28-30, 2018, Proceedings. Lecture Notes in Computer Science 11292, Springer 2018, ISBN 978-3-030-03519-8 [contents] - [r7]Tetsuya Sakai:
Advanced Information Retrieval Measures. Encyclopedia of Database Systems (2nd ed.) 2018 - [r6]Tetsuya Sakai:
α-nDCG. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Tetsuya Sakai:
D-Measure. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Tetsuya Sakai:
ERR-IA. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Tetsuya Sakai:
Expected Reciprocal Rank. Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Tetsuya Sakai:
Q-Measure. Encyclopedia of Database Systems (2nd ed.) 2018 - [r1]Tetsuya Sakai:
U-Measure. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j28]James Allan, Nicholas J. Belkin, Paul N. Bennett, Jamie Callan, Charles L. A. Clarke, Fernando Diaz, Susan T. Dumais, Nicola Ferro, Donna Harman, Djoerd Hiemstra, Ian Ruthven, Tetsuya Sakai, Mark D. Smucker, Justin Zobel:
Overview of Special Issue. SIGIR Forum 51(2): 1-25 (2017) - [c144]Cheng Luo, Xue Li, Yiqun Liu, Tetsuya Sakai, Fan Zhang, Min Zhang, Shaoping Ma:
Investigating Users' Time Perception during Web Search. CHIIR 2017: 127-136 - [c143]Mami Kawasaki, Inho Kang, Tetsuya Sakai:
Ranking Rich Mobile Verticals based on Clicks and Abandonment. CIKM 2017: 2127-2130 - [c142]Yuta Kadotami, Yasuaki Yoshida, Sumio Fujita, Tetsuya Sakai:
Mobile Vertical Ranking based on Preference Graphs. ICTIR 2017: 225-228 - [c141]Cheng Luo, Tetsuya Sakai, Yiqun Liu, Zhicheng Dou, Chenyan Xiong, Jingfang Xu:
Overview of the NTCIR-13 We Want Web Task. NTCIR 2017 - [c140]Charles L. A. Clarke, Noriko Kando, Tetsuya Sakai:
Preface from NTCIR-13 General Chairs. NTCIR 2017 - [c139]Jun Guan, Tetsuya Sakai:
SLSTC at the NTCIR-13 STC Task. NTCIR 2017 - [c138]Ryo Kashimura, Tetsuya Sakai:
SLOLQ at the NTCIR-13 OpenLiveQ Task. NTCIR 2017 - [c137]Tetsuya Sakai:
Evaluating Evaluation Measures with Worst-Case Confidence Interval Widths. EVIA@NTCIR 2017: 16-19 - [c136]Tetsuya Sakai:
Towards Automatic Evaluation of Multi-Turn Dialogues: A Task Design that Leverages Inherently Subjective Annotations. EVIA@NTCIR 2017: 24-30 - [c135]Tetsuya Sakai:
The Effect of Inter-Assessor Disagreement on IR System Evaluation: A Case Study with Lancers and Students. EVIA@NTCIR 2017: 31-38 - [c134]Tetsuya Sakai:
Unanimity-Aware Gain for Highly Subjective Assessments. EVIA@NTCIR 2017: 39-42 - [c133]