Recommender systems in fashion and retail: proceedings of the third Workshop at the Recommender Systems Conference (2021) / Nima Dokoohaki, Shatha Jaradat, Humberto Jes︢s Corona Pamp̕n, Reza Shirvany, editors.
Workshop on Recommender Systems in Fashion and Retail (3rd : 2021); Dokoohaki, Nima.; Jaradat, Shatha.; Corona Pampín, Humberto Jesús.; Shirvany, Reza.; Recommender Systems Conference (2021)
2022
ZA3084
Available Online

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Title Recommender systems in fashion and retail: proceedings of the third Workshop at the Recommender Systems Conference (2021) / Nima Dokoohaki, Shatha Jaradat, Humberto Jes︢s Corona Pamp̕n, Reza Shirvany, editors.
Meeting Name Workshop on Recommender Systems in Fashion and Retail (3rd : 2021)
ISBN 9783030940164 (electronic bk.)
3030940160 (electronic bk.)
9783030940157 (print)
3030940152
DOI https://doi.org/10.1007/978-3-030-94016-4
Publication Details Cham : Springer, 2022.
Language English
Description 1 online resource (116 pages)
Item Number 10.1007/978-3-030-94016-4 doi
Call Number ZA3084
Dewey Decimal Classification 005.5/6
Summary 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).
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 18, 2022).
Added Author Dokoohaki, Nima.
Jaradat, Shatha.
Corona Pampín, Humberto Jesús.
Shirvany, Reza.
Added Meeting Name Recommender Systems Conference (2021)
Series Lecture notes in electrical engineering ; v. 830.
Available in Other Form Recommender Systems in Fashion and Retail.
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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 Dont 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 Oine Evaluation Decisions Against Online Results: A Real-Time Recommendations Case Study
Chapter 6. Attentive Hierarchical Label Sharing for Enhanced Garment and Attribute Classication of Fashion Imagery
Chapter 7. Style-based Interactive Eyewear Recommendations.

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