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

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