花画像の特徴量抽出および類似度計算による対話型フラワー推薦システム
2021 年 2021 巻 BI-018 号 p. 06-
詳細
2021 年 2021 巻 BI-018 号 p. 06-
The spread of COVID-19 has changed people's lifestyle, which caused great loss in variousindustries including the flower industry. Under the circumstance, new online shopping services forindividuals are attracting attention. However, it is not easy for those who have not purchased flowers oftenbefore to find "a right flower for them." Therefore, this study (1) defines some features of flower imagesand creates a hyperspace representing the similarity among flower images, and (2) proposes and evaluatesan interactiveevolutionary computation system for recommending a flower that reflects theuser's potentialtaste from a large number of candidates according only to a relatively small number of intuitive flowerevaluation madeby a user.
