Understanding and Mathematical Modeling of Human Behavior
We conduct research to identify and mathematically model the mechanisms of human behavior. Through this challenge, we aim to realize technologies that transform human behavior in a natural way for the better.
Awards
- DBSJ Kambayashi Young Researcher Award from the Database Society of Japan, 2015
- Best Paper Award, IEICE Life Intelligence and Office Information System (LOIS), 2011
- Best Paper Award, IEICE Data Engineering Workshop (DEWS 2008), 2008
Academic Activities
- Associate Editor, IEICE Transactions on Information and Systems, 2020-
- Committee Member, IEICE Special Interest Group on Data Engineering, 2015-
Publications
Papers
- Takeshi Kurashima, Tomoharu Iwata, Tomu Tominaga, Shuhei Yamamoto, Hiroyuki Toda, and Kazuhisa Takemura, "Personal History Affects Reference Points: A Case Study of Codeforces", The 17th International Conference on Web and Social Media (ICWSM 2023), 2023.
- Takeshi Kurashima, Tim Althoff, and Jure Leskovec, "Modeling Interdependent and Periodic Real-World Action Sequences", The Web Conference (WWW 2018), pp.803-812, 2018.
- Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, and Hiroshi Sawada, "Probabilistic Latent Network Visualization: Inferring and Embedding Diffusion Networks", ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2014), pp.1236-1245, 2014.
- Takeshi Kurashima, Tomoharu Iwata, Noriko Takaya, and Hiroshi Sawada, "A Probabilistic Behavior Model for Discovering Unrecognized Knowledge", IEEE International Conference on Data Mining (ICDM 2013), pp.1097-1102, 2013.
- Takeshi Kurashima, Tomoharu Iwata, Takahide Hoshide, Noriko Takaya, and Ko Fujimura, "Geo Topic Model: Joint Modeling of User's Activity Area and Interests for Location Recommendation", ACM International Conference on Web Search and Data Mining (WSDM 2013), pp.375-384, 2013.
- Takeshi Kurashima, Tomoharu Iwata, Go Irie, and Ko Fujimura, "Travel Route Recommendation using Geotags in Photo Sharing Sites", ACM International Conference on Information and Knowledge Management (CIKM 2010), pp.579-588, 2010.
Keywords
Human Behavior Modeling, Data Mining, Machine Learning, Artificial Intelligence