03867nam 22007455 450 991055184260332120251225212301.03-030-94016-010.1007/978-3-030-94016-4(MiAaPQ)EBC6914950(Au-PeEL)EBL6914950(CKB)21382872700041(PPN)261519190(BIP)83465837(BIP)82452444(DE-He213)978-3-030-94016-4(EXLCZ)992138287270004120220307d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierRecommender Systems in Fashion and Retail Proceedings of the Third Workshop at the Recommender Systems Conference (2021) /edited by Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (116 pages)Lecture Notes in Electrical Engineering,1876-1119 ;830Print version: Dokoohaki, Nima Recommender Systems in Fashion and Retail Cham : Springer International Publishing AG,c2022 9783030940157 Includes bibliographical references.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). .Lecture Notes in Electrical Engineering,1876-1119 ;830Machine learningElectronic commerceClothing and dressSocial aspectsHuman body in popular cultureSocial mediaData protectionLaw and legislationMachine Learninge-Commerce and e-BusinessFashion and the BodySocial MediaPrivacyMachine learning.Electronic commerce.Clothing and dressSocial aspects.Human body in popular culture.Social media.Data protectionLaw and legislation.Machine Learning.e-Commerce and e-Business.Fashion and the Body.Social Media.Privacy.005.56658.8720285633Dokoohaki NimaMiAaPQMiAaPQMiAaPQBOOK9910551842603321Recommender Systems in Fashion and Retail3071624UNINA