Recommender Systems in Fashion and Retail |
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| Editor:
| Dokoohaki, Nima
Jaradat, Shatha
Corona Pampín, Humberto Jesús
Shirvany, Reza |
| Series title: | Lecture Notes in Electrical Engineering Ser. |
| ISBN: | 978-3-030-66102-1 |
| Publication Date: | Mar 2021 |
| Publisher: | Springer International Publishing AG
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| Imprint: | Springer |
| Book Format: | Hardback |
| List Price: | USD $119.99USD $119.99 |
Book Description:
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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...
More Description
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).