Takashi Sonoda


is a Research Principal at Fuji Xerox Co,. Ltd. He received a Ph.D. in Elementary Particle Physics from Nihon University, Japan.  His research interests are in the area of Statistical-Mechanical Information Processing, Machine Learning and Recommender System Algorithms.




Last update: September 2016


Articles published on IXD&A:

Model of Personal Discount Sensitivity in Recommender Systems, N. 28, pp. 110 - 123, abstractdownload