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020 _a9783030940164
_9978-3-030-94016-4
024 7 _a10.1007/978-3-030-94016-4
_2doi
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072 7 _aUYQM
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aUYQM
_2thema
082 0 4 _a006.31
_223
245 1 0 _aRecommender Systems in Fashion and Retail
_h[electronic resource] :
_bProceedings of the Third Workshop at the Recommender Systems Conference (2021) /
_cedited by Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aVI, 115 p. 22 illus., 21 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v830
505 0 _aChapter 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.
520 _aThis 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). .
650 0 _aMachine learning.
650 0 _aElectronic commerce.
650 0 _aClothing and dress
_xSocial aspects.
650 0 _aHuman body in popular culture.
650 0 _aSocial media.
650 0 _aData protection
_xLaw and legislation.
650 1 4 _aMachine Learning.
650 2 4 _ae-Commerce and e-Business.
650 2 4 _aFashion and the Body.
650 2 4 _aSocial Media.
650 2 4 _aPrivacy.
700 1 _aDokoohaki, Nima.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJaradat, Shatha.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aCorona Pampín, Humberto Jesús.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aShirvany, Reza.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030940157
776 0 8 _iPrinted edition:
_z9783030940171
776 0 8 _iPrinted edition:
_z9783030940188
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v830
856 4 0 _uhttps://doi.org/10.1007/978-3-030-94016-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c177719
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