Description: Recommender Systems in Fashion and Retail by Nima Dokoohaki, Shatha Jaradat, Reza Shirvany, Humberto JesÚs Corona Pampín 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). FORMAT Paperback CONDITION Brand New Table of Contents 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. Details ISBN3030940187 Author Humberto JesÚs Corona Pampín Pages 115 Publisher Springer Nature Switzerland AG Series Lecture Notes in Electrical Engineering Year 2023 Edition 1st ISBN-13 9783030940188 Format Paperback Imprint Springer Nature Switzerland AG Subtitle Proceedings of the Third Workshop at the Recommender Systems Conference (2021) Place of Publication Cham Country of Publication Switzerland Edited by Humberto JesÚs Corona Pampín Illustrations 21 Illustrations, color; 1 Illustrations, black and white; VI, 115 p. 22 illus., 21 illus. in color. Publication Date 2023-03-09 ISBN-10 3030940187 UK Release Date 2023-03-09 Edition Description 1st ed. 2022 Alternative 9783030940157 DEWEY 658.8720285633 Series Number 830 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:141399192;
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Format: Paperback
ISBN-13: 9783030940188
Author: Nima Dokoohaki, Shatha Jaradat, Reza Shirvany
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Book Title: Recommender Systems in Fashion and Retail
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