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    • Daisuke Kataoka, Keishi Tajima,

    SNS Retrieval Based on User Profile Estimation Using Transfer Learning from Web Search

    Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence,
    pp.278-285, IEEE Computer Society Press, December 2018 (IEEE Xplore, IEEE CS DL)

    Ken Mizusawa, Keishi Tajima, Masaki Matsubara, Toshiyuki Amagasa, Atsuyuki Morishima,

    Efficient Pipeline Processing of Crowdsourcing Workflows

    Proc. of 27th ACM International Conference on Information and Knowledge Management,
    pp.1559-1562, ACM Press, October 2018 (ACM DL)

    Atsuyuki Morishima, Keishi Tajima, Itaru Kitahara, Munenari Inoguchi,
    Masaki Matsubara, Hidehiko Shishido,

    JST CREST CyborgCrowd Project

    Proc. of 1st Project Networking Workshop (collocated with 6th AAAI HCOMP),
    July 2018

    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)

    Tomohiro Manabe, Keishi Tajima,

    Subtopic Ranking Based on Block-Level Document Analysis

    Lecture Notes in Business Information Processing, Vol. 292,
    (Revised Selected Papers from Proc. of 12th International Conference on Web Information Systems and Technologies),
    pp. 83-104, Springer-Verlag, October 2017

    Daichi Imamori, Keishi Tajima,

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

    Proc. of 25th ACM International Conference on Information and Knowledge Management,
    pp.639-648, ACM Press, October 2016 (ACM DL)

    Hikaru Takemura, Keishi Tajima,

    Classification of Twitter Accounts into Targeting Accounts and Non-Targeting Accounts

    Proc. of 27th ACM Conference on Hypertext and Social Media,
    pp. 291-296, ACM Press, July 2016 (ACM DL)

    Tomohiro Manabe, Keishi Tajima,

    Subtopic Ranking Based on Hierarchical Headings

    Proc. of 12th International Conference on Web Information Systems and Technologies,
    Vol.2, pp. 121-130, SciTePress, April 2016 (SciTePress Digital Library)

    Tomohiro Manabe, Keishi Tajima,

    Heading-Aware Proximity Measure and Its Application to Web Search

    DBSJ Journal, Vol.14, Article No.2,
    pp.1-6, March 2016

    Ming Li, Keishi Tajima,

    Automatic Generation of Authentication Questions from Private Messages

    Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technologies,
    pp.505-510, IEEE Computer Society Press, December 2015 (IEEE Xplore, IEEE CS DL)

    Tomohiro Manabe, Keishi Tajima,

    Heading-Aware Snippet Generation for Web Search

    Proc. of 11th Asia Information Retrieval Societies Conference,
    Lecture Notes in Computer Science, Vol. 9460,
    pp. 188-200, Springer-Verlag, Decembr 2015

    Tomohiro Manabe, Keishi Tajima,

    Extracting Logical Hierarchical Structure of HTML Documents Based on Headings

    Proc. of VLDB, Vol.8, No.12,
    pp.1606-1617, August 2015

    Hikaru Takemura, Atsushi Tanaka, Keishi Tajima,

    Classification of Twitter Follow Links Based on the Followers’ Intention

    Proc. of 30th ACM Symposium on Applied Computing,
    pp. 1174-1180, ACM Press, April 2015 (ACM DL)

    Atsushi Tanaka, Hikaru Takemura, Keishi Tajima,

    Why You Follow: A Classification Scheme for Twitter Follow Links

    Proc. of 25th ACM Conference on Hypertext and Social Media,
    pp. 324-326, ACM Press, September 2014 (ACM DL)