001435231 000__ 03649cam\a2200649\i\4500 001435231 001__ 1435231 001435231 003__ OCoLC 001435231 005__ 20230309003843.0 001435231 006__ m\\\\\o\\d\\\\\\\\ 001435231 007__ cr\un\nnnunnun 001435231 008__ 210327s2021\\\\sz\\\\\\ob\\\\000\0\eng\d 001435231 019__ $$a1243307330 001435231 020__ $$a9783030661038$$q(electronic book) 001435231 020__ $$a3030661032$$q(electronic book) 001435231 020__ $$z3030661024 001435231 020__ $$z9783030661021 001435231 0247_ $$a10.1007/978-3-030-66103-8$$2doi 001435231 035__ $$aSP(OCoLC)1243549590 001435231 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dSFB$$dOCLCQ 001435231 049__ $$aISEA 001435231 050_4 $$aZA3084 001435231 050_4 $$aQ325.5 001435231 08204 $$a025.04$$223 001435231 08204 $$a006.3/1$$223 001435231 24500 $$aRecommender systems in fashion and retail /$$cNima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany, editors. 001435231 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021] 001435231 300__ $$a1 online resource 001435231 336__ $$atext$$btxt$$2rdacontent 001435231 337__ $$acomputer$$bc$$2rdamedia 001435231 338__ $$aonline resource$$bcr$$2rdacarrier 001435231 4901_ $$aLecture notes in electrical engineering ;$$vvolume 734 001435231 504__ $$aIncludes bibliographical references. 001435231 5050_ $$aThe Importance of Brand Afinity in Luxury Fashion Recommendations -- Probabilistic Color Modelling of Clothing Items -- User Aesthetics Identification for Fashion Recommendations -- Towards User-in-the-Loop Online Fashion Size Recommendation with Low Cognitive Load -- Attention Gets You the Right Size and Fit in Fashion -- The Ensemble-Building Challenge for Fashion Recommendation: Investigation of In-Home Practices and Assessment of Garment Combinations -- Outfit Generation and Recommendation: An Experimental Study -- Understanding Professional Fashion Stylists' Outfit Recommendation Process: A Qualitative Study. 001435231 506__ $$aAccess limited to authorized users. 001435231 520__ $$aThis book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), 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, or size and fit recommendations, and social media-influenced recommendations (outfits worn by influencers). 001435231 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 5, 2021). 001435231 650_0 $$aRecommender systems (Information filtering) 001435231 650_0 $$aFashion merchandising$$xData processing. 001435231 650_0 $$aHuman-computer interaction. 001435231 650_0 $$aMachine learning. 001435231 650_6 $$aSystèmes de recommandation (Filtrage d'information) 001435231 650_6 $$aMode$$xMarchandisage$$xInformatique. 001435231 650_6 $$aApprentissage automatique. 001435231 655_7 $$aLlibres electrònics.$$2thub 001435231 655_0 $$aElectronic books. 001435231 7001_ $$aDokoohaki, Nima,$$eeditor. 001435231 7001_ $$aJaradat, Shatha,$$eeditor. 001435231 7001_ $$aCorona Pampín, Humberto Jesús,$$eeditor. 001435231 7001_ $$aShirvany, Reza,$$eeditor. 001435231 77608 $$iPrint version:$$z9783030661021 001435231 830_0 $$aLecture notes in electrical engineering ;$$vv. 734. 001435231 852__ $$bebk 001435231 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-66103-8$$zOnline Access$$91397441.1 001435231 909CO $$ooai:library.usi.edu:1435231$$pGLOBAL_SET 001435231 980__ $$aBIB 001435231 980__ $$aEBOOK 001435231 982__ $$aEbook 001435231 983__ $$aOnline 001435231 994__ $$a92$$bISE