Recommender Systems in Fashion and Retail
Author | : Nima Dokoohaki |
Publisher | : Springer Nature |
Total Pages | : 160 |
Release | : 2021-03-23 |
ISBN-10 | : 9783030661038 |
ISBN-13 | : 3030661032 |
Rating | : 4/5 (032 Downloads) |
Download or read book Recommender Systems in Fashion and Retail written by Nima Dokoohaki and published by Springer Nature. This book was released on 2021-03-23 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).