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  • Yixin Zhang, Yoko Yamakata, Keishi Tajima

    Categorization of Cooking Actions Based on Textual/Visual Similarity

    Published in Proc. of 5th International Workshop on Multimedia Assisted Dietary Management (MADiMa) (In conj. with ACMMM), pp.42-49, October 2019 (ACM DL)

    Ziyang Liao, Keishi Tajima

    Disjunctive Sets of Phrase Queries for Diverse Query Suggestion

    Published in Proc. of IEEE/WIC/ACM International Conferences on Web Intelligence,
    pp.449-455, ACM Press, October 2019 (ACM DL)

    Taka Menishi, Keishi Tajima

    Identifying Tags Describing Image Contents

    Proc. of 30th ACM Conference on Hypertext,
    pp.297-298, ACM Press, September 2019 (ACM DL)

    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

    Proc. of ACM/IEEE Joint Conference on Digital Libraries,
    pp.400-401, ACM Press, June 2019

    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)

    Yuanyuan Wang, Panote Siriaraya, Haruka Sakata, Yukiko Kawai, Keishi Tajima

    A Map Search System based on a Spatial Query Language

    (demo paper). Proc.  of International Conference on Extending Database Technology,
    pp. 578-581, OpenProceedings.org, March 2019

    Yoko Yamakata, Keishi Tajima, Shinsuke Mori,

    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)

    Yusuke Suzuki, Masaki Matsubara, Keishi Tajima, Toshiyuki AmagasaAtsuyuki Morishima,

    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)