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001 978-3-031-02321-7
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008 220601s2020 sz | s |||| 0|eng d
020 _a9783031023217
_9978-3-031-02321-7
024 7 _a10.1007/978-3-031-02321-7
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
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082 0 4 _a004.6
_223
100 1 _aSong, Xuemeng.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981023
245 1 0 _aCompatibility Modeling
_h[electronic resource] :
_bData and Knowledge Applications for Clothing Matching /
_cby Xuemeng Song, Liqiang Nie, Yinglong Wang.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIX, 118 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
505 0 _aPreface -- Acknowledgments -- Introduction -- Data Collection -- Data-Driven Compatibility Modeling -- Knowledge-Guided Compatibility Modeling -- Prototype-Wise Interpretable Compatibility Modeling -- Personalized Compatibility Modeling -- Personalized Capsule Wardrobe Creation -- Research Frontiers -- Bibliography -- Authors' Biographies.
520 _aNowadays, fashion has become an essential aspect of people's daily life. As each outfit usually comprises several complementary items, such as a top, bottom, shoes, and accessories, a proper outfit largely relies on the harmonious matching of these items. Nevertheless, not everyone is good at outfit composition, especially those who have a poor fashion aesthetic. Fortunately, in recent years the number of online fashion-oriented communities, like IQON and Chictopia, as well as e-commerce sites, like Amazon and eBay, has grown. The tremendous amount of real-world data regarding people's various fashion behaviors has opened a door to automatic clothing matching. Despite its significant value, compatibility modeling for clothing matching that assesses the compatibility score for a given set of (equal or more than two) fashion items, e.g., a blouse and a skirt, yields tough challenges: (a) the absence of comprehensive benchmark; (b) comprehensive compatibility modeling with the multi-modal feature variables is largely untapped; (c) how to utilize the domain knowledge to guide the machine learning; (d) how to enhance the interpretability of the compatibility modeling; and (e) how to model the user factor in the personalized compatibility modeling. These challenges have been largely unexplored to date. In this book, we shed light on several state-of-the-art theories on compatibility modeling. In particular, to facilitate the research, we first build three large-scale benchmark datasets from different online fashion websites, including IQON and Amazon. We then introduce a general data-driven compatibility modeling scheme based on advanced neural networks. To make use of the abundant fashion domain knowledge, i.e., clothing matching rules, we next present a novel knowledge-guided compatibility modeling framework. Thereafter, to enhance the model interpretability, we put forward a prototype-wise interpretable compatibility modeling approach. Following that,noticing the subjective aesthetics of users, we extend the general compatibility modeling to the personalized version. Moreover, we further study the real-world problem of personalized capsule wardrobe creation, aiming to generate a minimum collection of garments that is both compatible and suitable for the user. Finally, we conclude the book and present future research directions, such as the generative compatibility modeling, virtual try-on with arbitrary poses, and clothing generation.
650 0 _aComputer networks .
_931572
650 1 4 _aComputer Communication Networks.
_981024
700 1 _aNie, Liqiang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981025
700 1 _aWang, Yinglong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981026
710 2 _aSpringerLink (Online service)
_981027
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031002281
776 0 8 _iPrinted edition:
_z9783031011931
776 0 8 _iPrinted edition:
_z9783031034497
830 0 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
_981028
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02321-7
912 _aZDB-2-SXSC
942 _cEBK
999 _c85089
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