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on1243549590 |
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OCoLC |
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210327s2021 sz ob 000 0 eng d |
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|a EBLCP
|b eng
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| 019 |
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|a 1243307330
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|a 9783030661038
|q (electronic book)
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|a 10.1007/978-3-030-66103-8
|2 doi
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|a (OCoLC)1243549590
|z (OCoLC)1243307330
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|a HCDD
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| 245 |
0 |
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|a Recommender systems in fashion and retail /
|c Nima Dokoohaki, Shatha Jaradat, Humberto Jesús Corona Pampín, Reza Shirvany, editors.
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| 264 |
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1 |
|a Cham, Switzerland :
|b Springer,
|c [2021]
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| 300 |
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|a 1 online resource
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Lecture notes in electrical engineering ;
|v volume 734
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| 520 |
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|a This 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).
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| 505 |
0 |
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|a The 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.
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| 504 |
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|a Includes bibliographical references.
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| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed April 5, 2021).
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| 650 |
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|a Recommender systems (Information filtering)
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| 650 |
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|a Fashion merchandising
|x Data processing.
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| 650 |
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|a Human-computer interaction.
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| 650 |
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|a Machine learning.
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| 650 |
0 |
7 |
|a Aprendizaje automático (Inteligencia artificial)
|2 embucm
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| 650 |
0 |
7 |
|a Sistemas de recomendación (Informática)
|2 embucm
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| 650 |
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7 |
|a Human-computer interaction
|2 fast
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| 650 |
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7 |
|a Machine learning
|2 fast
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| 650 |
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7 |
|a Recommender systems (Information filtering)
|2 fast
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| 650 |
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7 |
|a Intel·ligència computacional.
|2 thub
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| 650 |
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7 |
|a Intel·ligència artificial.
|2 thub
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| 650 |
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7 |
|a Mineria de dades.
|2 thub
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| 655 |
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7 |
|a Llibres electrònics.
|2 thub
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| 700 |
1 |
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|a Dokoohaki, Nima,
|e editor.
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| 700 |
1 |
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|a Jaradat, Shatha,
|e editor.
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| 700 |
1 |
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|a Corona Pampín, Humberto Jesús,
|e editor.
|
| 700 |
1 |
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|a Shirvany, Reza,
|e editor.
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| 758 |
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|i has work:
|a Recommender systems in fashion and retail (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFvymhv8cxq7fxkqRcdfMd
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|z 9783030661021
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| 830 |
|
0 |
|a Lecture notes in electrical engineering ;
|v v. 734.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-66103-8
|y Click for online access
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| 903 |
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|a SPRING-MATH2021
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| 994 |
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|a 92
|b HCD
|