@inproceedings{98e31ef9d9c940858dcb74339b7c053c,
title = "An Emotional Distance Calculation for Recommending Musical Films in Kansei Space",
abstract = "For each movie, every person recognizes every event with Kansei which is unique to the individual. In this method, we focus on the point that people like about musical movies and then create a Kansei space for musical films using the idea of mathematical models of meaning. In this method, we calculate an emotional distance in Kansei space and provide the best recommendation for users with new user experiences.",
keywords = "SPA-based, corpus, persistency, personalization, sensitivity, text processing",
author = "Moeko Iijima and Yasushi Kiyoki and Shiori Sasaki",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 21st International Electronics Symposium, IES 2019 ; Conference date: 27-09-2019 Through 28-09-2019",
year = "2019",
month = sep,
doi = "10.1109/ELECSYM.2019.8901561",
language = "English",
series = "IES 2019 - International Electronics Symposium: The Role of Techno-Intelligence in Creating an Open Energy System Towards Energy Democracy, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "37--44",
editor = "Ahmad Zainudin and Yunanto, {Andhik Ampuh}",
booktitle = "IES 2019 - International Electronics Symposium",
}