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Title :一般ユーザの長期的利用を想定した感性検索システムフレームワークの検証
Authors :白石 亮太
竹之内 宏
徳丸 正孝
Issue Date :Dec-2018
Abstract :In this research, we verify the effectiveness of Kansei retrieval agent model with fuzzy reasoning on long term use of general people. The Kansei retrieval agent model imitates the sensitivity of each user by optimization of fuzzy reasoning parameters. Previous studies have verified optimization of fuzzy rules of fuzzy inference and learned user evaluation criteria. Therefore, in this research, considering long-term use of this system, we verify the optimization performance of the Kansei retrieval agent model when many data are presented to users by numerical simulation. As a result, it is shown that the proposed method is effective from the viewpoint of user evaluation criteria learning.
Type Local :紀要論文
ISSN :24345725
Publisher :福岡工業大学総合研究機構
Comment :情報科学研究所(Computer Science Laboratory)
URI :http://hdl.handle.net/11478/1222
citation :福岡工業大学総合研究機構研究所所報
Citation :福岡工業大学総合研究機構研究所所報 Vol.1 p.57 -60
Appears in Collections:Vol.1

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