AI and Statistics Related Glossary: "Information Filtering"
Introduction to content-based filtering and collaborative filtering!
There are basically two main approaches to information filtering. <Content-based filtering> One is content-based filtering, which involves extracting features from the target content and modeling preference information based on evaluations of that content. *For detailed information on the glossary, please refer to the related links. For more information, feel free to contact us.*
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Our company was established on May 25, 2018, through joint investment by Keio Corporation and Professor Maki Sakamoto of the National University Corporation, University of Electro-Communications. We are a company that can commercially utilize the intellectual property from the Sakamoto Laboratory at the University of Electro-Communications, which has been certified as a venture originating from the university. By creating AI that understands the hidden senses within people and supports their expression, we aim to become a platform for the utilization of sensitivity.