Author: mpkato
WISE 2024 Paper Accepted
Our paper “PR-Rank: A Parameter Regression Approach for Learning-to-Rank Model Adaptation Without Target Domain Data”, authored by Takumi Ito, Atsuki Maruta, Makoto P. Kato, and Sumio Fujita, has been accepted at WISE 2024 as a full paper.
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Ito-san (M1) received IPSJ Yamashita SIG Research Award
Takumi Ito (M1) received the IPSJ Yamashita SIG Research Award for the DEIM 2024 presentation entitled “ドメイン特徴に基づくランキング学習モデルのドメイン適応” 👏👏👏 IPSJ Yamashita SIG Research Award (FY2024) – IPSJ IPSJ Yamashita SIG Research AwardThis award is given to the presenter of excellent papers presented at research forums and symposia supported by IPSJ. https://www.ipsj.or.jp/award/yamashita.html
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CIKM 2024 Paper Accepted
Our paper “Over-penalization for Extra Information in Neural IR Models”, authored by Kota Usuha, Makoto P. Kato, and Sumio Fujita, has been accepted at CIKM 2024 as a short paper.
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KASYS Won DEIM 2024 Awards
Nao Tagai (M2), Yuto Nakachi (M2), and Atsuki Maruta (D2) won the student presentation award, and Atsuki Maruta, Nao Tagai, and Makoto P. Kato together won the best poster presentation award at DEIM 2024 (a domestic workshop)! 👏👏👏 DEIM 2024（第16回データ工学と情報マネジメントに関するフォーラム）
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WebSci 2023 Paper Accepted
Our paper “What Web Search Behaviors Lead to Online Purchase Satisfaction?”, authored by Yuki Yanagida, Makoto P. Kato, Yuka Kawada, Takehiro Yamamoto, Hiroaki Ohshima and Sumio Fujita, has been accepted at WebSci 2023 as a full paper.
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ECIR 2023 Paper Accepted
Our paper “Theoretical Analysis on the Efficiency of Interleaved Comparisons”, authored by Kojiro Iizuka, Hajime Morita and Makoto P. Kato, has been accepted at ECIR 2023 as a full paper.
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IPSJ TOD Journal Paper (Vol. 15, No. 1) Accepted
The following paper has been accepted at IPSJ TOD Journal (Vol. 15, No. 1):
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DBSJ Data Driven Studies (Vol. 1) Papers Accepted
The following paper has been accepted at DBSJ Data Driven Studies (Vol. 1): 中野 優, 加藤 誠: 被引用統計データのセル特定データセットの構築 柳田 雄輝，加藤 誠，河田 友香，山本 岳洋，大島 裕明，藤田 澄男: 検索行動に基づく購買満足度の関係分析
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ICADL 2022 Papers Accepted
Our papers “Can a Machine Reading Comprehension Model Improve Ad-hoc Document Retrieval?”, authored by Kota Usuha, Makoto P. Kato, and Sumio Fujita, and “Active Learning for Efficient Partial Improvement of Learning to Rank”, authored by Koki Shibata and Makoto P. Kato, have been accepted at ICADL 2022 as short papers.
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Data Science and Engineering Paper Accepted
The following paper has been accepted at Data Science and Engineering: Atsuki Maruta, Makoto P. Kato: Intent-Aware Data Visualization Recommendation
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