Outfit2Vec: Incorporating Clothing Hierarchical MetaData into Outfits’ Recommendation

Author:

Jaradat Shatha,Dokoohaki Nima,Matskin Mihhail

Publisher

Springer International Publishing

Reference20 articles.

1. Orendorff A (2019) The state of the ecommerce fashion industry: statistics, trends and strategy. https://www.shopify.com/enterprise/ecommerce-fashion-industry . Accessed 13 Jan 2020

2. Martineau P (2018) Inside the pricy war to influence your Instagram Feed. https://www.wired.com/story/pricey-war-influence-your-instagram-feed/ . Accessed 13 Jan 2020

3. Brown B (2018) 19 Micro-influencer statistics you must know in 2018. https://www.grin.co/blog/19-micro-influencer-statistics-you-must-know-in-2018 . Accessed 13 Jan 2020

4. Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781

5. Grbovic M, Radosavljevic V, Djuric N, Bhamidipati N, Savla J, Bhagwan V, Sharp D (2015) E-commerce in your inbox: product recommendations at scale. In: Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, pp 1809–1818

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1. Recommendation of Compatible Outfits Conditioned on Style;Lecture Notes in Computer Science;2022

2. Kıyafet Öneri Sistemi için Giyim Metaverilerine dayalı Temsil Öğrenimi;European Journal of Science and Technology;2021-12-09

3. The Importance of Brand Affinity in Luxury Fashion Recommendations;Lecture Notes in Electrical Engineering;2021

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