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Recommender systems in fashion and retail
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 reade...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2021
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-66103-8 http://cds.cern.ch/record/2763291 |
| _version_ | 1780970895791095808 |
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| author | Dokoohaki, Nima Jaradat, Shatha Pampín, Humberto Shirvany, Reza |
| author_facet | Dokoohaki, Nima Jaradat, Shatha Pampín, Humberto Shirvany, Reza |
| author_sort | Dokoohaki, Nima |
| collection | CERN |
| description | 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). . |
| id | cern-2763291 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2021 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-27632912021-04-21T16:38:35Zdoi:10.1007/978-3-030-66103-8http://cds.cern.ch/record/2763291engDokoohaki, NimaJaradat, ShathaPampín, HumbertoShirvany, RezaRecommender systems in fashion and retailMathematical Physics and MathematicsThis 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). .Springeroai:cds.cern.ch:27632912021 |
| spellingShingle | Mathematical Physics and Mathematics Dokoohaki, Nima Jaradat, Shatha Pampín, Humberto Shirvany, Reza Recommender systems in fashion and retail |
| title | Recommender systems in fashion and retail |
| title_full | Recommender systems in fashion and retail |
| title_fullStr | Recommender systems in fashion and retail |
| title_full_unstemmed | Recommender systems in fashion and retail |
| title_short | Recommender systems in fashion and retail |
| title_sort | recommender systems in fashion and retail |
| topic | Mathematical Physics and Mathematics |
| url | https://dx.doi.org/10.1007/978-3-030-66103-8 http://cds.cern.ch/record/2763291 |
| work_keys_str_mv | AT dokoohakinima recommendersystemsinfashionandretail AT jaradatshatha recommendersystemsinfashionandretail AT pampinhumberto recommendersystemsinfashionandretail AT shirvanyreza recommendersystemsinfashionandretail |