User Modeling in Folksonomies: Relational Clustering and Tag Weighting T. Kitazawa and M. Sugiyama WIMS'15
[paper] [slides] [github]
Domestic Conferences (non-refereed)
Incremental Item Recommendation Using a SVD-based Streaming Anomaly Detection Framework (in Japanese) T. Kitazawa Numerical Analysis Symposium 2016
Incremental Factorization Machines for Item Recommendation in Data Streams T. Kitazawa The 30th Annual Conference of the Japanese Society for Artificial Intelligence
Incremental Approaches for Matrix Approximation: Performance Evaluations and Their Possible Applications (in Japanese) T. Kitazawa and T. Matsuo The Japanese Society for Artificial Intelligence SIG-FPAI-98
User Modeling through Relational Clustering on Folksonomy (in Japanese) T. Kitazawa and M. Sugiyama The 77th National Convention of Information Processing Society of Japan
Relational Clustering in Social Bookmark T. Kitazawa and M. Sugiyama Tohoku-Section Joint Convention of Institutes of Electrical and Information Engineering 2014
(IEEE Sendai Section Student Awards "The Best Paper Prize")
Treasure Data Inc., August to September 2016.
Implemented anomaly detection system for Datadog multiple metrics.
Developed Hive UDFs for recommendation and anomaly detection.
Rakuten, Inc., Rakuten Institute of Technology, August to September 2015.
Worked on a real-world recommender system for a golf booking service.
DWANGO Co., Ltd., July 2015.
Developed iOS and watchOS application for music playlists with three team members.
pixiv Inc., December 2014.
Worked on pixiv.net, a PHP web appication for Japanese online artists’ communities.
Speee, Inc., September 2013.
Developed an iOS application using geographical information and its server-side with four team members.
mixi, Inc., mixi Scrap Challenge for Security, January 2013.
SECCON CTF Tsukuba (team: 5a454e), May 2012.
Security and Programming Camp 2011 Web Security Class, August 2011.
President's Award (representative of the graduates, GPA 3.97), The University of Aizu, 2015.
Dean's List of Distinguished Students, The University of Aizu, 2012 to 2015.
The Best Paper Prize, IEEE Sendai Section Student Awards, 2014.
Innovative Award, TAC-Keio SFC Entrepreneurship Seminar and Business Plan Competition, 2012.