JST CREST Project (Year started: 2020)


Building a Trusted Explorable Recommendation Foundation Technology

To promote a society where people can feel secure in receiving personalized support from AI systems, this interdisciplinary research integrating informatics, neurophysiology, and social psychology aims to establish fundamental technologies that allow users of recommender systems to explore recommendation behaviors. The goal is to provide human-centered, controllable, and transparent recommender systems that can be used sustainably by consumers or producers as a trusted social infrastructure.


Research Director

Masataka Goto

Prime Senior Researcher, National Institute of Advanced Industrial Science and Technology (AIST)


Shinichi Furuya

Senior Researcher, Sony Computer Science Laboratories, Inc.

Yoshinori Hijikata

Professor, Kwansei Gakuin University

Major Publications


International Conference