#USA

研究成果発表

佐々岡哲哉君が研究成果をユーザインタフェースに関する国際会議 ACM Conference on I…
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Tetsuya Sasaoka, Yoko Yamakata, Keishi Tajima

Search Result Presentation for Non-Native Language Documents

研究成果発表

井上真大君の研究成果を Web Science に関する国際会議 ACM Conference on…
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研究成果発表

京塚萌々さんと許揚君の研究成果をデジタルライブラリに関する国際会議である ACM/IEEE Join…
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研究成果発表

段霄妮さんが Web 技術に関する最重要国際会議である The Web Conference 201…
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Masahiro Inoue, Keishi Tajima

Temporal Analysis of Supply and Demand of Topics on The Web

Proc. of ACM Conference on Web Science,
pp.143-144, ACM Press, June 2019 (ACM DL)

Momo Kyozuka, Yang Xu, Keishi Tajima

A Ranking Method for Relaxed Queries in Book Search

Xiaoni Duan, Keishi Tajima

Improving Multiclass Classification in Crowdsourcing by Using Hierarchical Schemes

Proc. of The Web Conference,
pp.2694-2700, ACM Press, May 2019 (ACM DL)

A Proposal of Spatial Operators for a Collaborative Map Search System

A Case Study on Start-up of Dataset Construction: In Case of Recipe Named Entity Corpus

Proc. of 2nd HMData Workshop (collocated with IEEE BigData),
pp.3564-3567, IEEE Computer Society Press, December 2018 (IEEE Xplore)

A Cache-based Approach to Dynamic Switching between Different Dataflows in Crowdsourcing

Proc. of 2nd HMData Workshop (collocated with IEEE BigData),
pp.3552-3554, IEEE Computer Society Press, December 2018 (IEEE Xplore)

Naoki Kobayashi, Masaki Matsubara, Keishi Tajima, Atsuyuki Morishima,

A Crowd-in-the-Loop Approach for Generating Conference Programs with Microtasks

Proc. of 1st HMData Workshop (collocated with IEEE BigData),
pp.4312-4314, IEEE Computer Society Press, December 2017 (IEEE Xplore)

Xiaoni Duan, Keishi Tajima,

Improving Classification Accuracy in Crowdsourcing through Hierarchical Reorganization

Proc. of 1st HMData Workshop (collocated with IEEE BigData),
pp.4290-4292, IEEE Computer Society Press, December 2017 (IEEE Xplore)

Daichi Imamori, Keishi Tajima,

Predicting Popularity of Twitter Accounts through the Discovery of Link-Propagating Early Adopters

研究成果発表

今森大地君が情報抽出などの分野における重要国際会議の一つであるACM Conference on I…
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