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Sumio Fujita
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2020 – today
- 2024
- [c74]Tensho Miyashita, Yoshiyuki Shoji, Sumio Fujita, Martin J. Dürst:
BERT-Based Movie Keyword Search Leveraging User-Generated Movie Rankings and Reviews. BigComp 2024: 246-256 - [c73]Kota Usuha
, Makoto P. Kato
Over-penalization for Extra Information in Neural IR Models. CIKM 2024: 4096-4100 - [c72]Haitao Yu, Lingzhen Zheng, Kaiyu Yang, Sumio Fujita, Hideo Joho:
Towards Incorporating Personalized Context for Conversational Information Seeking. IR-RAG@SIGIR 2024: 56-61 - [c71]Takumi Ito, Atsuki Maruta, Makoto P. Kato, Sumio Fujita:
PR-Rank: A Parameter Regression Approach for Learning-to-Rank Model Adaptation Without Target Domain Data. WISE (4) 2024: 3-18 - 2023
- [j10]Kohei Hirata
Categorical Diversity-Aware Inner Product Search. IEEE Access 11: 2586-2596 (2023) - [j9]Ryota Hiraishi, Masatoshi Yoshikawa, Yang Cao, Sumio Fujita, Hidehito Gomi:
Mechanisms to Address Different Privacy Requirements for Users and Locations. IEICE Trans. Inf. Syst. 106(12): 2036-2047 (2023) - [c70]Yuka Kawada
Analyzing Web Search Queries of Before and After Purchase on e-Commerce Site. ICADL (1) 2023: 181-187 - [c69]Tomohiro Ishii, Yoshiyuki Shoji
Generating Fine-Grained Aspect Names from Movie Review Sentences Using Generative Language Model. iiWAS 2023: 217-232 - [c68]Tensho Miyashita, Yoshiyuki Shoji
Movie Keyword Search Using Large-Scale Language Model with User-Generated Rankings and Reviews. iiWAS 2023: 249-255 - [c67]Kazuyoshi Aoyama
Simpler is Much Faster: Fair and Independent Inner Product Search. SIGIR 2023: 2379-2383 - [c66]Kaiyu Yang, Lingzhen Zheng, Haitao Yu, Sumio Fujita, Hideo Joho:
University of Tsukuba Team at the TREC 2023 Deep Learning Track. TREC 2023 - [c65]Lingzhen Zheng, Kaiyu Yang, Haitao Yu, Sumio Fujita, Hideo Joho:
University of Tsukuba Team at the TREC 2023 Interactive Knowledge Assistance Track. TREC 2023 - [c64]Yuki Yanagida
What Web Search Behaviors Lead to Online Purchase Satisfaction? WebSci 2023: 324-334 - [i8]Haoxiang Shi, Sumio Fujita, Tetsuya Sakai:
Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval. CoRR abs/2308.02926 (2023) - 2022
- [j8]Tomoya Hashiguchi, Takehiro Yamamoto, Sumio Fujita, Hiroaki Ohshima
Toward Generating Robot-Robot Natural Counseling Dialogue. IEICE Trans. Inf. Syst. 105-D(5): 928-935 (2022) - [j7]Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, Martin J. Dürst:
Doc2Vec-based Approach for Extracting Diverse Evaluation Expressions from Online Review Data. J. Data Intell. 3(4): 441-459 (2022) - [c63]Lirong Zhang, Hideo Joho, Sumio Fujita, Haitao Yu:
Selectively Expanding Queries and Documents for News Background Linking. CIKM 2022: 4687-4691 - [c62]Ryota Hiraishi
Mitigating Privacy Vulnerability Caused by Map Asymmetry. DBSec 2022: 68-86 - [c61]Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara:
Learned k-NN distance estimation. SIGSPATIAL/GIS 2022: 1:1-1:4 - [c60]Kota Usuha, Makoto P. Kato, Sumio Fujita:
Can a Machine Reading Comprehension Model Improve Ad-hoc Document Retrieval? ICADL 2022: 172-181 - [c59]Rei Shimizu, Sumio Fujita, Tetsuya Sakai:
Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles? ICTIR 2022: 133-137 - [c58]Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara:
Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively. RecSys 2022: 198-207 - [i7]Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara:
Learned k-NN Distance Estimation. CoRR abs/2208.14210 (2022) - 2021
- [c57]Yusuke Arai, Daichi Amagata, Sumio Fujita, Takahiro Hara:
LGTM: A Fast and Accurate kNN Search Algorithm in High-Dimensional Spaces. DEXA (2) 2021: 220-231 - [c56]Yuki Amemiya, Tomohiro Manabe, Sumio Fujita, Tetsuya Sakai:
How Do Users Revise Zero-Hit Product Search Queries? ECIR (2) 2021: 185-192 - [c55]Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, Martin J. Dürst:
Doc2Vec-based Approach for Extracting Diverse Evaluation Expressions from Online Review Data. iiWAS 2021: 11-18 - [c54]Kakeru Ito, Yoshiyuki Shoji, Sumio Fujita, Martin J. Dürst:
What Makes a Review Encouraging: Feature Analysis of User Access Logs in a Large-scale Online Movie Review Site. iiWAS 2021: 40-48 - [c53]Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, Martin J. Dürst:
Learning to Rank-based Approach for Movie Search by Keyword Query and Example Query. iiWAS 2021: 137-145 - [c52]Phanideep Gampa, Sumio Fujita:
BanditRank: Learning to Rank Using Contextual Bandits. PAKDD (3) 2021: 259-271 - [c51]Yubo Fang, Hideo Joho, Sumio Fujita:
TKB48 at TREC 2021 Conversational Assistance Track. TREC 2021 - [c50]Zhuoqi Jin, Hideo Joho, Sumio Fujita:
TKB48 at TREC 2021 Fairness Ranking Track. TREC 2021 - [c49]Lirong Zhang, Hideo Joho, Sumio Fujita:
TKB48 at TREC 2021 News Track. TREC 2021 - [i6]Taichi Murayama, Nobuyuki Shimizu, Sumio Fujita, Shoko Wakamiya, Eiji Aramaki:
Influenza Surveillance using Search Engine, SNS, On-line Shopping, Q&A Service and Past Flu Patients. CoRR abs/2104.06646 (2021) - 2020
- [c48]Makoto P. Kato, Akiomi Nishida, Tomohiro Manabe, Sumio Fujita, Takehiro Yamamoto:
What Rankers Can be Statistically Distinguished in Multileaved Comparisons? CIKM 2020: 2081-2084 - [c47]Yohei Seki, Masaki Oguni, Sumio Fujita:
Augmentation of Local Government FAQs using Community-based Question-answering Data. iiWAS 2020: 362-366 - [c46]Riku Togashi, Sumio Fujita, Tetsuya Sakai:
Automatic Evaluation of Iconic Image Retrieval based on Colour, Shape, and Texture. ICMR 2020: 346-354 - [c45]Yuki Otsuka, Makoto P. Kato, Sumio Fujita, Masatoshi Yoshikawa:
Cross-Domain Rating Prediction for Market Development. WI/IAT 2020: 496-501 - [i5]Shohei Hisada, Taichi Murayama, Kota Tsubouchi, Sumio Fujita
Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan. CoRR abs/2004.10100 (2020)
2010 – 2019
- 2019
- [c44]Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi:
Stochastic Submodular Maximization with Performance-Dependent Item Costs. AAAI 2019: 1485-1494 - [c43]Hsin Wen Liu, Sumio Fujita, Tetsuya Sakai:
Towards Automatic Evaluation of Reused Answers in Community Question Answering. AIRS 2019: 3-9 - [c42]Sosuke Kato, Toru Shimizu, Sumio Fujita, Tetsuya Sakai:
Unsupervised Answer Retrieval with Data Fusion for Community Question Answering. AIRS 2019: 10-21 - [c41]Rikiya Suzuki, Sumio Fujita, Tetsuya Sakai:
Arc Loss: Softmax with Additive Angular Margin for Answer Retrieval. AIRS 2019: 34-40 - [c40]Avikalp Srivastava, Hsin Wen Liu, Sumio Fujita:
Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms. CIKM 2019: 1421-1430 - [c39]Kosuke Kurihara, Yoshiyuki Shoji, Sumio Fujita, Martin J. Dürst:
Target-Topic Aware Doc2Vec for Short Sentence Retrieval from User Generated Content. iiWAS 2019: 463-467 - [c38]Makoto P. Kato, Akiomi Nishida, Tomohiro Manabe, Sumio Fujita, Takehiro Yamamoto:
Final Report of the NTCIR-14 OpenLiveQ-2 Task. NTCIR 2019: 45-56 - [c37]Tomohiro Manabe, Sumio Fujita, Akiomi Nishida:
Online Evaluations of Features and Ranking Models for Question Retrieval. NTCIR 2019: 57-69 - [i4]Phanideep Gampa, Sumio Fujita:
BanditRank: Learning to Rank Using Contextual Bandits. CoRR abs/1910.10410 (2019) - 2018
- [j6]Anup Naik
Scalable Twitter user clustering approach boosted by Personalized PageRank. Int. J. Data Sci. Anal. 6(4): 297-309 (2018) - [j5]Suppanut Pothirattanachaikul, Takehiro Yamamoto, Sumio Fujita, Akira Tajima, Katsumi Tanaka, Masatoshi Yoshikawa:
Mining Alternative Actions from Community Q&A Corpus. J. Inf. Process. 26: 427-438 (2018) - [c36]Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima:
AdaFlock: Adaptive Feature Discovery for Human-in-the-loop Predictive Modeling. AAAI 2018: 1619-1626 - [c35]Takehiro Yamamoto, Yusuke Yamamoto, Sumio Fujita:
Exploring People's Attitudes and Behaviors Toward Careful Information Seeking in Web Search. CIKM 2018: 963-972 - [c34]Makoto P. Kato, Tomohiro Manabe, Sumio Fujita, Akiomi Nishida, Takehiro Yamamoto:
Challenges of Multileaved Comparison in Practice: Lessons from NTCIR-13 OpenLiveQ Task. CIKM 2018: 1515-1518 - [c33]Naoto Ohsaka
Boosting PageRank Scores by Optimizing Internal Link Structure. DEXA (1) 2018: 424-439 - [c32]Kenta Tamaki, Riku Togashi, Sosuke Kato, Sumio Fujita, Hideyuki Maeda, Tetsuya Sakai:
Classifying Community QA Questions That Contain an Image. ICTIR 2018: 219-222 - [i3]Avikalp Srivastava, Hsin Wen Liu, Sumio Fujita:
From VQA to Multimodal CQA: Adapting Visual QA Models for Community QA Tasks. CoRR abs/1808.09648 (2018) - 2017
- [c31]Adrián Jiménez Pascual, Sumio Fujita:
Text Similarity Function Based on Word Embeddings for Short Text Analysis. CICLing (1) 2017: 391-402 - [c30]Yuta Kadotami, Yasuaki Yoshida, Sumio Fujita, Tetsuya Sakai:
Mobile Vertical Ranking based on Preference Graphs. ICTIR 2017: 225-228 - [c29]Hanna Sumita, Yasushi Kawase, Sumio Fujita, Takuro Fukunaga:
Online Optimization of Video-Ad Allocation. IJCAI 2017: 423-429 - [c28]Kaustubh Kulkarni, Riku Togashi, Hideyuki Maeda, Sumio Fujita:
Dual Constrained Question Embeddings with Relational Knowledge Bases for Simple Question Answering. IJCNLP(2) 2017: 217-221 - [c27]Makoto P. Kato, Takehiro Yamamoto, Tomohiro Manabe, Akiomi Nishida, Sumio Fujita:
Overview of the NTCIR-13 OpenLiveQ Task. NTCIR 2017 - [c26]Tomohiro Manabe, Akiomi Nishida, Sumio Fujita:
YJRS at the NTCIR-13 OpenLiveQ Task. NTCIR 2017 - [c25]Anup Naik, Hideyuki Maeda, Vibhor Kanojia, Sumio Fujita:
Scalable Twitter User Clustering Approach Boosted by Personalized PageRank. PAKDD (1) 2017: 472-485 - [c24]Tomohiro Manabe, Akiomi Nishida, Makoto P. Kato, Takehiro Yamamoto, Sumio Fujita:
A Comparative Live Evaluation of Multileaving Methods on a Commercial cQA Search. SIGIR 2017: 949-952 - [c23]Sosuke Kato, Riku Togashi
LSTM vs. BM25 for Open-domain QA: A Hands-on Comparison of Effectiveness and Efficiency. SIGIR 2017: 1309-1312 - [c22]Naoto Ohsaka
Coarsening Massive Influence Networks for Scalable Diffusion Analysis. SIGMOD Conference 2017: 635-650 - [c21]Suppanut Pothirattanachaikul, Takehiro Yamamoto, Sumio Fujita, Akira Tajima, Katsumi Tanaka:
Mining alternative actions from community Q&A corpus for task-oriented web search. WI 2017: 607-614 - [c20]Vibhor Kanojia, Hideyuki Maeda, Riku Togashi
Enhancing Knowledge Graph Embedding with Probabilistic Negative Sampling. WWW (Companion Volume) 2017: 801-802 - [c19]Riku Togashi
Euclidean Image Embedding in view of Similarity Ranking in Auction Search by Image. WWW (Companion Volume) 2017: 847-848 - [i2]Tomohiro Manabe, Sumio Fujita:
A Short Note on Proximity-based Scoring of Documents with Multiple Fields. CoRR abs/1709.03260 (2017) - 2016
- [c18]Makoto P. Kato, Tetsuya Sakai, Takehiro Yamamoto, Virgil Pavlu, Hajime Morita, Sumio Fujita:
Overview of the NTCIR-12 MobileClick-2 Task. NTCIR 2016 - [c17]Yuya Ozawa, Taichi Yatsuka, Sumio Fujita:
YJST at the NTCIR-12 MobileClick-2 Task. NTCIR 2016 - [c16]Takehiro Yamamoto, Yiqun Liu, Min Zhang, Zhicheng Dou, Ke Zhou, Ilya Markov, Makoto P. Kato, Hiroaki Ohshima, Sumio Fujita:
Overview of the NTCIR-12 IMine-2 Task. NTCIR 2016 - [c15]Yasuaki Yoshida, Hideyuki Maeda, Tatsuhiro Niwa, Sumio Fujita:
YJST at the NTCIR-12 IMine-2 Task. NTCIR 2016 - [c14]Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi:
Extracting Search Query Patterns via the Pairwise Coupled Topic Model. WSDM 2016: 655-664 - 2015
- [c13]Yoshiyuki Shoji, Sumio Fujita, Akira Tajima, Katsumi Tanaka:
Who Stays Longer in Community QA Media? - User Behavior Analysis in cQA -. SocInfo 2015: 33-48 - 2012
- [c12]Sumio Fujita, Georges Dupret, Ricardo Baeza-Yates
Semantics of query rewriting patterns in search logs. ESAIR 2012: 7-8 - [i1]Sumio Fujita, Georges Dupret, Ricardo Baeza-Yates:
Learning to Rank Query Recommendations by Semantic Similarities. CoRR abs/1204.2712 (2012) - 2010
- [c11]Sumio Fujita, Keigo Machinaga, Georges Dupret:
Click-graph modeling for facet attribute estimation of web search queries. RIAO 2010: 190-197 - [c10]Georges Dupret, Ricardo Zilleruelo-Ramos, Sumio Fujita:
Using Related Queries to Improve Web Search Results Ranking. SPIRE 2010: 213-224
2000 – 2009
- 2009
- [j4]Sumio Fujita:
Retrieval parameter optimization using genetic algorithms. Inf. Process. Manag. 45(6): 664-682 (2009) - 2007
- [j3]Sumio Fujita:
Technology survey and invalidity search: A comparative study of different tasks for Japanese patent document retrieval. Inf. Process. Manag. 43(5): 1154-1172 (2007) - [c9]Sumio Fujita:
NTCIR-6 CLIR-J-J Experiments at Yahoo! Japan. NTCIR 2007 - 2005
- [j2]Sumio Fujita:
NTCIR-2 as a Rosetta stone in laboratory experiments of IR systems. Inf. Process. Manag. 41(3): 489-506 (2005) - [j1]Sumio Fujita:
Revisiting Document Length Hypotheses: A Comparative Study of Japanese Newspaper and Patent Retrieval. ACM Trans. Asian Lang. Inf. Process. 4(2): 207-235 (2005) - [c8]Sumio Fujita:
A Decade after TREC-4 - NTCIR-5 CLIR-J-J Experiments at Yahoo!Japan. NTCIR 2005 - 2004
- [c7]Sumio Fujita:
Revisiting Document Length Hypotheses: NTCIR-4 CLIR and Patent Experiments at Patolis. NTCIR 2004 - [c6]Sumio Fujita:
Revisiting Again Document Length Hypotheses TREC 2004 Genomics Track Experiments at Patolis. TREC 2004 - 2001
- [c5]Sumio Fujita:
Notes on the Limits of CLIR Effectiveness: NTCIR-2 Evaluation Experiments at Justsystem. NTCIR 2001 - [c4]Sumio Fujita:
More Reflections on "Aboutness" TREC-2001 Evaluation Experiments at Justsystem. TREC 2001 - 2000
- [c3]Sumio Fujita:
Evaluation of Japanese Phrasal Indexing with Large Test Collection. RIAO 2000: 1089-1098 - [c2]Sumio Fujita:
Reflections on "Aboutness" TREC-9 Evaluation Experiments at Justsystem. TREC 2000
1990 – 1999
- 1999
- [c1]Sumio Fujita:
Notes on Phrasal Indexing: JSCB Evaluation Experiments at NTCIR AD HOC. NTCIR 1999
Coauthor Index
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last updated on 2024-12-13 20:08 CET by the dblp team
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