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Workshop on recommender systems in fashion (Fashionxrecsys2019)
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS.ORCID iD: 0000-0002-7786-9551
2019 (English)In: RecSys 2019 - 13th ACM Conference on Recommender Systems, Association for Computing Machinery (ACM), 2019, p. 552-553Conference paper, Published paper (Refereed)
Abstract [en]

Online Fashion retailers have signifcantly increased in popularity over the last decade, making it possible for customers to explore hundreds of thousands of products without the need to visit multiple stores or stand in long queues for checkout. Recommender Systems are often used to solve diferent complex problems in this scenario, such as social fashion-aware recommendations (outfts inspired by infuencers), product recommendations, or size and ft recommendations. However, relatively little research has been done on these complex problems. The very First fashionXrecsys Workshop aims at addressing these issues by providing a avenue for discussing novel approaches to recommendations in fashion and e-commerce applications.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019. p. 552-553
Keywords [en]
Fashion, Image Processing, Recommendation, Social Networks
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:kth:diva-267908DOI: 10.1145/3298689.3347056Scopus ID: 2-s2.0-85073328882ISBN: 9781450362436 (print)OAI: oai:DiVA.org:kth-267908DiVA, id: diva2:1394055
Conference
13th ACM Conference on Recommender Systems, RecSys 2019; Copenhagen; Denmark; 16 September 2019 through 20 September 2019
Note

QC 20200218

Available from: 2020-02-18 Created: 2020-02-18 Last updated: 2020-02-18Bibliographically approved

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Jaradat, Shatha

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