-------- Forwarded Message --------
====================================================
13th ACM Conference on Recommender Systems
FashionXRecsys - Workshop on Recommender Systems in Fashion
Copenhagen, Denmark, 19th - 20th September 2019
https://zalandoresearch.github.io/fashionxrecsys/
====================================================
We are pleased to invite you to participate in the 1st full-day
workshop on
Recommender Systems in Fashion (FashionXRecsys) that will be held
on September
19th -20th, 2019 in Copenhagan, Denmark.
This workshop aims to bring together researchers and practitioners
in the
fashion, recommendations and machine learning domains to discuss
open problems
in the aforementioned areas. This involves addressing
interdisciplinary
problems with all of the challenges it entails. Within this
workshop we aim to
start the conversation among professionals in the fashion and
e-commerce
industries and recommender systems scientists, and create a new
space for
collaboration between these communities necessary for tackling
these deep
problems. To provide rich opportunities to share opinions and
experience in
such an emerging field, we will accept paper submissions on
established and
novel ideas, as well as new interactive participation formats.
Suggested topics for submissions are (but not limited to):
-Computer vision in Fashion (image classification, semantic
segmentation,
object detection.)
-Deep learning in recommendation systems for Fashion.
-Learning and application of fashion style (personalized style,
implicit and
explicit preferences, budget, social behaviour, etc.)
-Size and Fit recommendations through mining customers implicit
and explicit
size and fit preferences.
-Modelling articles and brands size and fit similarity.
-Usage of ontologies and article metadata in fashion and retail
(NLP, social
mining, search.)
-Addressing cold-start problem both for items and users in fashion
recommendation.
-Knowledge transfer in multi-domain fashion recommendation
systems.
-Hybrid recommendations on customers’ history and on-line
behavior.
-Multi- or Cross- domain recommendations (social media and online
shops)
-Privacy preserving techniques for customer’s preferences tracing.
-Understanding social and psychological factors and impacts of
influence on
users’ fashion choices (such as Instagram, influencers, etc.)
Paper submission deadline: July 1st, 2019
Reviewer deadline: July 19th, 2019
Author notification: July 29th, 2019
Camera-ready version deadline: August 27th, 2019
Workshop: September 19th or 20th, 2019
All deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on
Earth) time
zone.
The peer review process is double-blind (i.e. anonymised). All
accepted papers
will be available through the program website which will be linked
from the
official RecSys19 site. Moreover, selected authors will be invited
to
contribute an extended version of their paper to be published in a
Journal.
For more information on paper submission instructions, please
check the
website:
https://zalandoresearch.github.io/fashionxrecsys/
If you have any questions, please contact us on:
recsysxfashion@gmail.com.
Kindest Regards,
FashionXRecsys Organizers
--
Mailing-Liste:
wi@lists.kit.edu
Administrator:
wi-request@lists.kit.edu
Konfiguration:
https://www.lists.kit.edu/wws/info/wi