カテゴリ

Research

Research

SIGIR 2025 Paper Accepted

Our paper “LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries”, authored by Kenya Abe, Kunihiro Takeoka, Makoto P. Kato and Masafumi Oyamada, has been accepted at SIGIR 2025 as a short paper.

Research

ECIR 2025 Paper Accepted

Our paper “Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions”, authored by Haruki Fujimaki and Makoto P. Kato, has been accepted at ECIR 2025 as a short paper.

Research

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.

Research

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.

Research

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.

Research

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.

Research

IPSJ TOD Journal Paper (Vol. 15, No. 1) Accepted

The following paper has been accepted at IPSJ TOD Journal (Vol. 15, No. 1):

Research

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

Research

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.

Research

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