Recommender systems in fashion and retail / Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany, editors.

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 reade...

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Bibliographic Details
Other Authors: Dokoohaki, Nima (Editor), Jaradat, Shatha (Editor), Corona Pampín, Humberto Jesús (Editor), Shirvany, Reza (Editor)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2021]
Series:Lecture notes in electrical engineering ; v. 734.
Subjects:
Online Access:Click for online access
Description
Summary: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).
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9783030661038
3030661032
Source of Description, Etc. Note:Online resource; title from PDF title page (SpringerLink, viewed April 5, 2021).