LEADER 03680nam 22007335 450 001 9910678246403321 005 20251229071338.0 010 $a3-031-22192-3 024 7 $a10.1007/978-3-031-22192-7 035 $a(MiAaPQ)EBC7208116 035 $a(Au-PeEL)EBL7208116 035 $a(CKB)26189266100041 035 $a(DE-He213)978-3-031-22192-7 035 $a(PPN)269093729 035 $a(EXLCZ)9926189266100041 100 $a20230301d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRecommender Systems in Fashion and Retail $eProceedings of the Fourth Workshop at the Recommender Systems Conference (2022) /$fedited by Humberto Jesús Corona Pampín, Reza Shirvany 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (125 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v981 311 08$aPrint version: Corona Pampín, Humberto Jesús Recommender Systems in Fashion and Retail Cham : Springer,c2023 9783031221910 320 $aIncludes bibliographical references. 327 $a1. Identification of Fine-grained Fit Information from Customer Reviews in Fashion -- 2. Personalization through User Attributes for Transformer-based Sequential Recommendation -- 3. Reusable Self-Attention-based Recommender System for Fashion -- 4. Adversarial Attacks against Visually-aware Fashion Outfit Recommender Systems -- 5. Contrastive Learning for Topic-Dependent Image Ranking -- 6. A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail -- 7. End-to-End Image-Based Fashion Recommendation. 330 $aThis book includes the proceedings of the fourth workshop on recommender systems in fashion and retail (2022), and it aims to present a state-of-the-art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail, and fashion by presenting readers with chapters covering contributions from academic as well as industrial researchers active within this emerging new field. Recommender systems are often used to solve different complex problems in this scenario, such as product recommendations, size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers). 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v981 606 $aMachine learning 606 $aElectronic commerce 606 $aClothing and dress$xSocial aspects 606 $aHuman body in popular culture 606 $aSocial media 606 $aData protection$xLaw and legislation 606 $aMachine Learning 606 $ae-Commerce and e-Business 606 $aFashion and the Body 606 $aSocial Media 606 $aPrivacy 615 0$aMachine learning. 615 0$aElectronic commerce. 615 0$aClothing and dress$xSocial aspects. 615 0$aHuman body in popular culture. 615 0$aSocial media. 615 0$aData protection$xLaw and legislation. 615 14$aMachine Learning. 615 24$ae-Commerce and e-Business. 615 24$aFashion and the Body. 615 24$aSocial Media. 615 24$aPrivacy. 676 $a658.872 676 $a658.8720285633 702 $aCorona Pampi?n$b Humberto Jesu?s 702 $aShirvany$b Reza 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910678246403321 996 $aRecommender Systems in Fashion and Retail$93071624 997 $aUNINA