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ORCIDTetsuya Sakai
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- affiliation: Waseda University, Japan
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2020 – today
- 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)- [i9]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) - [i8]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) - [i7]Tetsuya Sakai:
On Variants of Root Normalised Order-aware Divergence and a Divergence based on Kendall's Tau. CoRR abs/2204.07304 (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]Kou Sato, Tetsuya Sakai:
SLQAL at the NTCIR-13 QA Lab-3 Task. NTCIR 2017 - [c132]Lifeng Shang, Tetsuya Sakai, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao, Yuki Arase, Masako Nomoto:
Overview of the NTCIR-13 Short Text Conversation Task. NTCIR 2017 - [c131]Peng Xiao, Lingtao Li, Yimeng Fan, Tetsuya Sakai:
SLWWW at the NTCIR-13 WWW Task. NTCIR 2017 - [c130]Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai:
Test Collections and Measures for Evaluating Customer-Helpdesk Dialogues. EVIA@NTCIR 2017: 1-9 - [c129]Tetsuya Sakai:
The Probability that Your Hypothesis Is Correct, Credible Intervals, and Effect Sizes for IR Evaluation. SIGIR 2017: 25-34 - [c128]Cheng Luo, Yiqun Liu, Tetsuya Sakai, Fan Zhang, Min Zhang, Shaoping Ma:
Evaluating Mobile Search with Height-Biased Gain. SIGIR 2017: 435-444 - [c127]Sosuke Kato, Riku Togashi, Hideyuki Maeda, Sumio Fujita, Tetsuya Sakai:
LSTM vs. BM25 for Open-domain QA: A Hands-on Comparison of Effectiveness and Efficiency. SIGIR 2017: 1309-1312 - [c126]Cheng Luo, Yiqun Liu, Tetsuya Sakai, Ke Zhou, Fan Zhang, Xue Li, Shaoping Ma:
Does Document Relevance Affect the Searcher's Perception of Time? WSDM 2017: 141-150 - [e9]Noriko Kando, Tetsuya Sakai, Hideo Joho, Hang Li, Arjen P. de Vries, Ryen W. White:
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017. ACM 2017, ISBN 978-1-4503-5022-8 [contents] - 2016
- [j27]Tetsuya Sakai:
Topic set size design. Inf. Retr. J. 19(3): 256-283 (2016) - [j26]Laure Soulier, Lynda Tamine, Tetsuya Sakai, Leif Azzopardi, Jeremy Pickens:
Report on the First International Workshop on the Evaluation on Collaborative Information Seeking and Retrieval (ECol'2015). SIGIR Forum 50(1): 42-48 (2016) - [j25]Makoto P. Kato, Kazuaki Kishida, Noriko Kando, Tetsuya Sakai, Mark Sanderson:
Report on NTCIR-12: The Twelfth Round of NII Testbeds and Community for Information Access Research. SIGIR Forum 50(2): 18-27 (2016) - [c125]Tetsuya Sakai:
The Effect of Score Standardisation on Topic Set Size Design. AIRS 2016: 16-28 - [c124]Tetsuya Sakai:
Topic Set Size Design and Power Analysis in Practice. ICTIR 2016: 9-10 - [c123]Tetsuya Sakai:
Simple and Effective Approach to Score Standardisation. ICTIR 2016: 95-104 - [c122]Hiroto Denawa, Tomoaki Sano, Yuta Kadotami, Sosuke Kato, Tetsuya Sakai:
SLSTC at the NTCIR-12 STC Task. NTCIR 2016 - [c121]Shin Higuchi, Tetsuya Sakai:
SLQAL at the NTCIR-12 QALab-2 Task. NTCIR 2016 - [c120]Satomi Iijima, Tetsuya Sakai:
SLLL at the NTCIR-12 Lifelog Task: Sleepflower and the LIT Subtask. NTCIR 2016 - [c119]Noriko Kando, Tetsuya Sakai, Mark Sanderson:
Preface from NTCIR-12 General Chairs. NTCIR 2016 - [c118]Makoto P. Kato, Virgil Pavlu, Tetsuya Sakai, Takehiro Yamamoto, Hajime Morita:
Two-layered Summaries for Mobile Search: Does the Evaluation Measure Reflect User Preferences? EVIA@NTCIR 2016 - [c117]Makoto P. Kato, Tetsuya Sakai, Takehiro Yamamoto, Virgil Pavlu, Hajime Morita, Sumio Fujita:
Overview of the NTCIR-12 MobileClick-2 Task. NTCIR 2016 - [c116]Hidetsugu Nanba, Tetsuya Sakai, Noriko Kando, Atsushi Keyaki, Koji Eguchi, Kenji Hatano, Toshiyuki Shimizu, Yu Hirate, Atsushi Fujii:
NEXTI at NTCIR-12 IMine-2 Task. NTCIR 2016 - [c115]Tetsuya Sakai, Lifeng Shang:
On Estimating Variances for Topic Set Size Design. EVIA@NTCIR 2016 - [c114]Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao:
Overview of the NTCIR-12 Short Text Conversation Task. NTCIR 2016 - [c113]Tetsuya Sakai:
Statistical Significance, Power, and Sample Sizes: A Systematic Review of SIGIR and TOIS, 2006-2015. SIGIR 2016: 5-14 - [c112]Xiaojie Wang, Zhicheng Dou, Tetsuya Sakai, Ji-Rong Wen:
Evaluating Search Result Diversity using Intent Hierarchies. SIGIR 2016: 415-424 - [c111]Tetsuya Sakai:
Two Sample T-tests for IR Evaluation: Student or Welch? SIGIR 2016: 1045-1048 - [e8]Noriko Kando, Tetsuya Sakai, Mark Sanderson:
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, National Center of Sciences, Tokyo, Japan, June 7-10, 2016. National Institute of Informatics (NII) 2016 [contents] - [e7]Shunsuke Inenaga, Kunihiko Sadakane, Tetsuya Sakai:
String Processing and Information Retrieval - 23rd International Symposium, SPIRE 2016, Beppu, Japan, October 18-20, 2016, Proceedings. Lecture Notes in Computer Science 9954, 2016, ISBN 978-3-319-46048-2 [contents] - 2015
- [j24]Ya-nan Qian, Qinghua Zheng, Tetsuya Sakai, Junting Ye, Jun Liu:
Dynamic author name disambiguation for growing digital libraries. Inf. Retr. J. 18(5): 379-412 (2015) - [c110]Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li:
Topic Set Size Design with the Evaluation Measures for Short Text Conversation. AIRS 2015: 319-331 - [c109]Sha Hu, Zhicheng Dou, Xiaojie Wang, Tetsuya Sakai, Ji-Rong Wen:
Search Result Diversification Based on Hierarchical Intents. CIKM 2015: 63-72 - [c108]Leif Azzopardi, Jeremy Pickens, Tetsuya Sakai, Laure Soulier, Lynda Tamine:
ECol 2015: First international workshop on the Evaluation on Collaborative Information Seeking and Retrieval. CIKM 2015: 1943-1944 - [c107]Takuya Watanabe, Mitsuaki Akiyama, Tetsuya Sakai, Tatsuya Mori:
Understanding the Inconsistencies between Text Descriptions and the Use of Privacy-sensitive Resources of Mobile Apps. SOUPS 2015: 241-255 - [c106]Javed A. Aslam, Fernando Diaz, Matthew Ekstrand-Abueg, Richard McCreadie, Virgil Pavlu, Tetsuya Sakai:
TREC 2015 Temporal Summarization Track Overview. TREC 2015 - [e6]Leif Azzopardi, Jeremy Pickens, Tetsuya Sakai, Laure Soulier, Lynda Tamine:
Proceedings of the 2015 Workshop on Evaluation on Collaborative Information Retrieval and Seeking, ECol 2015, Melbourne, Australia, October 23, 2015. ACM 2015, ISBN 978-1-4503-3788-5 [contents] - 2014
- [j23]Tetsuya Sakai:
Statistical reform in information retrieval? SIGIR Forum 48(1): 3-12 (2014) - [c105]Tetsuya Sakai:
Designing Test Collections for Comparing Many Systems. CIKM 2014: 61-70 - [c104]