CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Shatha Jaradat <[log in to unmask]>
Reply To:
Shatha Jaradat <[log in to unmask]>
Date:
Tue, 21 May 2019 14:03:50 +0000
Content-Type:
text/plain
Parts/Attachments:
text/plain (53 lines)
====================================================
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: [log in to unmask]

Kindest Regards,
FashionXRecsys Organizers??


    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2