Connectionists: CFP: KDD 2017 workshop - Machine learning meets fashion

[Julian McAuley]

Machine learning meets fashion: Data, algorithms and analytics for the
fashion industry
The second international workshop on fashion and KDD
14th August, 2017 - Halifax, Nova Scotia - Canada

https://kddfashion2017.mybluemix.net/

Paper Submission Deadline: May 26, 2017

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. Fashion e-commerce portals are already
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 second international workshop on fashion and KDD will be hosted at KDD
2017 in Halifax, Nova Scotia - Canada on 14th August, 2017. 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
international workshop on fashion and KDD was organized at KDD 2016 and was
a big success.

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
not limited to):

- Detect and forecast fashion trends and cycles
- Big data for fast fashion (the like of Zara, H&M, and Primark)
- Analyzing fashion blogs, articles, and images
- 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

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

Submission Guidelines
---------------------

https://easychair.org/conferences/?conf=ml4fashion0

We solicit submission 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 (
http://www.acm.org/publications/proceedings-template). The papers should be
in PDF format and submitted via the EasyChair submission site (
https://easychair.org/conferences/?conf=ml4fashion0). The workshop website
will archive the published papers.

For more information or any clarifications please email
fashionkdd2017 at gmail.com

- Paper Submission Deadline: May 26, 2017
- Acceptance Notifications: June 16, 2017
- Camera-Ready Submission Date: Jun 28, 2017
- Workshop date: August 14, 2017

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

Organizers
----------

- Vikas C. Raykar, Researcher, IBM Research
- Soo-Min Pantel, Applied Science Manager, Amazon
- Raghavendra Singh, Researcher, IBM Research
- Julian McAuley, Assistant Professor, University of California, San Diego
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