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.*
Inquire About This Product
basic information
*The detailed content of the glossary can be viewed through the related links. For more information, please feel free to contact us.*
Price range
Delivery Time
Applications/Examples of results
*The detailed content of the glossary can be viewed through the related links. For more information, please feel free to contact us.*
Company information
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.