Authors
Keita Saito1, Taro Asada2, Yasunari Yoshitomi2, *, Ryota Kato2, Masayoshi
Tabuse2
1
Food IT System Division, JFE Systems, Inc., Sumida-ku, Tokyo 130-0012,
Japan
2
Graduate School of Life and Environmental Sciences, Kyoto Prefectural University,
Sakyo-ku, Kyoto 606-8522, Japan
*
Corresponding author. Email: [email protected]
Corresponding Author
Yasunari Yoshitomi
Received 22 May 2018, Accepted 21 November 2018, Available Online 1 December
2018.
DOI
https://doi.org/10.2991/jrnal.2018.5.3.13
Keywords
Recipe recommendation; collaborative filtering; impression word; MMDAgent
Abstract
We report on the development of a recipe recommendation system using collaborative
filtering and impression words. As a user interface (UI), we adopted MikuMikuDanceAgent
(MMDAgent). In our system, the first recommendation process using collaborative
filtering is terminated based on the previously decided condition, after
which the second recommendation process identifies the recipe that is most
similar to past successful recommendations from recipes that have not been
recommended thus far. As a final step, one recipe is selected from all
successfully recommended recipes.
Copyright
© 2018 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).