Background
----------------
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 the 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 experiences for their virtual channels, and a slew of technology startups are providing trending, forecasting, and styling services to the fashion industry.

The third international workshop on fashion and KDD will be hosted at KDD 2018 in London, United Kingdom on August 20th, 2018. 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 fashion technology and its adoption. The first two installments of this workshop were also held at KDD, in 2016 and 2017. 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 emerging 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 are not limited to):

- Detect and forecast fashion trends and cycles
- 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 dressing rooms
- Plagiarism detection in fashion
- 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, and recommendations are important (for example, jewelry, furniture etc.).