AI for fashion

The fourth international workshop on fashion and KDD

5 August 2019, Anchorage, Alaska - USA


Fashion is a multi-billion-dollar industry with social and economic implications worldwide. The fashion industry has traditionally placed high value on human creativity and has been slower to realize the potential of data analytics. With the advent of modern cognitive computing technologies (data mining and knowledge discovery, machine learning, deep learning, computer vision, natural language understanding etc.) and vast amounts of (structured and unstructured) fashion data the impact on fashion industry could be transformational. Already fashion e-commerce portals are using data to be branded as not just an online warehouse, but also as a fashion destination. Luxury fashion houses are planning to recreate physical in-store experience for their virtual channels, and a slew of technology startups are providing trending, forecasting, and styling services to fashion industry.

The fourth international workshop on fashion and KDD will be hosted at KDD 2019 in Anchorage, Alaska-USA on 5th August, 2019. The goal of this workshop is to gather people from academia, industry, and startups working at the intersection of fashion and data mining and knowledge discovery to further the technology and its adoption. The first three installments of this workshop were also held at KDD, in 2016, 2017 and 2018. It has become the premier venue for presenting works that are solving problems related to fashion using artificial intelligence, machine learning and data mining.

Topics of Interest

This is a new developing area for the KDD community and we hope this workshop will bring together all the researchers, practitioners, and interested audiences to explore the open problems, applications, and future directions in this field. We believe that the fashion industry introduces a number of interesting data analytics problems that are either not studied or scarcely studied in the past and can attract great interest in the general KDD community given their practical implications. Suggested topics include (but not limited to):

  • Detect and forecast fashion trends and cycles
  • AI for Fashion supply/value chain
  • Big data for fast fashion
  • Deep learning for fashion
  • Visual search for fashion e-commerce
  • Fashion image understanding and auto-tagging of apparel
  • Novel search mechanisms for large fashion catalogs
  • Virtual personal fashion assistants
  • Recommendation engines and cognitive stylists for fashion
  • Balancing art and science in fashion recommendation algorithms
  • Personal styling with humans and machines: recommendations with humans in the loop
  • Assembling outfit recommendations: interactions and serendipity
  • Algorithmic clothing: design by data
  • Predicting fashionability scores
  • Social networking for fashion
  • Fashion retail analytics
  • Interactive textiles
  • Digital wardrobe
  • Mining style rules
  • Assessing fashion personality (from social media platforms)
  • Virtual trial rooms
  • Plagiarism detection in fashion
  • Fashion and wearable computing
  • Technology in fashion weeks
  • AI tools for buyers and merchandisers
  • AI tools for fashion designers
  • Creative AI for fashion

We also invite submissions in other retail domains where design, trends, styling, recommendations are important (for example, jewelry, furniture etc.).


Program Committee Members

  • Anoop Kolar Rajagopal, Myntra Designs Pvt Ltd
  • Rajdeep Bannerjee, Myntra Designs Pvt Ltd
  • Zheng Zheng Xing, Senior Applied Scientist, Amazon
  • Ashwani Rao, Applied Scientist, Amazon
  • Kedan Li, UIUC PhD student
  • Bryan Plummer, Postdoctoral Associate at Boston University
  • Yusan Lin, Staff Research Scientist, Visa Research

Submission Guidelines

We solicit submission of papers of papers of 4 to 10 pages representing reports of original research, preliminary research results, case studies, proposals for new work and position papers. We also seek poster submissions based on recently published work (please indicate the conference published).

All papers will be peer reviewed, single blind (i.e. author names and affiliations should be listed). If accepted, at least one of the authors must attend the workshop to present the work. The submitted papers must be written in English and formatted in the double column standard according to the ACM Proceedings Template, Tighter Alternate style. The papers should be in PDF format and submitted via the EasyChair submission site. The workshop website will archive the published papers.

For more information or any clarifications please email

  • Paper Submission Deadline: May 5, 2019 extended May 10, 2019
  • Acceptance Notifications: June 1, 2019 extended June 6, 2019
  • Camera-Ready Submission Date: Jun 15, 2019
  • Workshop date: August 5, 2019

All deadlines are at 11:59 PM Pacific Standard Time.