Kazutoshi Umemoto

According to our database, Kazutoshi Umemoto authored at least 14 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

ML-1M++: MovieLens-Compatible Additional Preferences for More Robust Offline Evaluation of Sequential Recommenders.

Kazutoshi Umemoto

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Making AI Machines Work for Humans in FoW.

Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, François Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida

SIGMOD Rec., 2020

Retrieving and Analyzing Hospital Service Suspensions from Regional Healthcare Insurance Claims Data.

Jumpei Sato, Kazutoshi Umemoto, Kazuo Goda, Masaru Kitsuregawa, Naohiro Mitsutake

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Toward Recommendation for Upskilling: Modeling Skill Improvement and Item Difficulty in Action Sequences.

Kazutoshi Umemoto, Tova Milo, Masaru Kitsuregawa

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Crowd Forecasting at Venues with Microblog Posts Referring to Future Events.

Ryotaro Tsukada, Haosen Zhan, Shonosuke Ishiwatari, Masashi Toyoda, Kazutoshi Umemoto, Haichuan Shang, Koji Zettsu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Prescription Trend Analysis using Medical Insurance Claim Big Data.

Kazutoshi Umemoto, Kazuo Goda, Naohiro Mitsutake, Masaru Kitsuregawa

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2017

Search by Screenshots for Universal Article Clipping in Mobile Apps.

Kazutoshi Umemoto, Ruihua Song, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, Yong Rui

ACM Trans. Inf. Syst., 2017

2016

A Study on Fine-Grained User Behavior Analysis in Web Search.

Kazutoshi Umemoto

PhD thesis, 2016

UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile.

Ruihua Song, Kazutoshi Umemoto, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, Yong Rui

Data Sci. Eng., 2016

ScentBar: A Query Suggestion Interface Visualizing the Amount of Missed Relevant Information for Intrinsically Diverse Search.

Kazutoshi Umemoto, Takehiro Yamamoto, Katsumi Tanaka

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

How do users handle inconsistent information?: the effect of search expertise.

Kazutoshi Umemoto, Takehiro Yamamoto, Katsumi Tanaka

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

2013

Predicting query reformulation type from user behavior.

Kazutoshi Umemoto, Takehiro Yamamoto, Satoshi Nakamura, Katsumi Tanaka

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Information Extraction based Approach for the NTCIR-10 1CLICK-2 Task.

Tomohiro Manabe, Kosetsu Tsukuda, Kazutoshi Umemoto, Yoshiyuki Shoji, Makoto P. Kato, Takehiro Yamamoto, Meng Zhao, Soungwoong Yoon, Hiroaki Ohshima, Katsumi Tanaka

Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

2012

Search intent estimation from user's eye movements for supporting information seeking.

Kazutoshi Umemoto, Takehiro Yamamoto, Satoshi Nakamura, Katsumi Tanaka

Proceedings of the International Working Conference on Advanced Visual Interfaces, 2012