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Recommender systems in fashion and retailproceedings of the third workshop at the Recommender Systems Conference (2021) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recommender systems in fashion and retailedited by Nima Dokoohaki ... [et al.].
Reminder of title:	proceedings of the third workshop at the Recommender Systems Conference (2021) /
other author:	Dokoohaki, Nima.
corporate name:
Published:	Cham :Springer International Publishing :2022.
Description:	vi, 115 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Recommender systems (Information filtering)
Online resource:	https://doi.org/10.1007/978-3-030-94016-4
ISBN:	9783030940164$q(electronic bk.)

Recommender systems in fashion and retailproceedings of the third workshop at the Recommender Systems Conference (2021) /
Recommender systems in fashion and retailproceedings of the third workshop at the Recommender Systems Conference (2021) /[electronic resource] :edited by Nima Dokoohaki ... [et al.]. - Cham :Springer International Publishing :2022. - vi, 115 p. :ill., digital ;24 cm. - Lecture notes in electrical engineering,v. 8301876-1119 ;. - Lecture notes in electrical engineering ;v.132..

Chapter 1. Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users -- Chapter 2. What Users Want? WARHOL: A Generative Model for Recommendation -- Chapter 3. Knowing When You Don't Know in Online Fashion: An Uncertainty Aware Size Recommendation Framework -- Chapter 4. SkillSF: In the Sizing Game, Your Size is Your Skill -- Chapter 5. A Critical Analysis of Oﬄine Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study -- Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classiﬁcation of Fashion Imagery -- Chapter 7. Style-based Interactive Eyewear Recommendations.

This book includes the proceedings of the third workshop on recommender systems in fashion and retail (2021), 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, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers)

ISBN: 9783030940164$q(electronic bk.)

Standard No.: 10.1007/978-3-030-94016-4doiSubjects--Topical Terms:

310886
Recommender systems (Information filtering)

LC Class. No.: ZA3084 / .W67 2021

Dewey Class. No.: 005.56

Recommender systems in fashion and retailproceedings of the third workshop at the Recommender Systems Conference (2021) /
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