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Recommender Systems in Fashion and Retail. 2021 ed.
・ISBN 978-3-030-66105-2 paper EUR 79.99
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| 著者・編者 | Dokoohaki, Nima / Jaradat, Shatha / Corona Pampin, Humberto Jesus / Shirvany, Reza (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Electrical Engineering) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 160 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-62498＞ |
解説
This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, or size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers).