<html> <head> <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"> <style type="text/css" style="display:none"></style> </head> <body dir="ltr" style="font-size:12pt;color:#000000;background-color:#FFFFFF;font-family:Calibri,Arial,Helvetica,sans-serif;"> <p></p> <div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:16px; background-color:rgb(255,255,255); text-align:center"> <span style="font-size:14pt">====================================================</span></div> <div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:16px; background-color:rgb(255,255,255); text-align:center"> <span style="font-size:14pt">13th ACM Conference on Recommender Systems</span><br> </div> <div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:16px; background-color:rgb(255,255,255); text-align:center"> <strong>FashionXRecsys</strong> - Workshop on Recommender Systems in Fashion</div> <div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:16px; background-color:rgb(255,255,255); text-align:center"> Copenhagen, Denmark, 19th - 20th September 2019</div> <div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:16px; background-color:rgb(255,255,255); text-align:center"> <a href="https://zalandoresearch.github.io/fashionxrecsys/" target="_blank">https://zalandoresearch.github.io/fashionxrecsys/</a></div> <div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:16px; background-color:rgb(255,255,255); text-align:center"> <div><span style="font-size:14pt"></span></div> <div><span style="font-size:14pt">====================================================</span></div> <div><span style="font-size:14pt"><br> </span></div> </div> <div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:16px; background-color:rgb(255,255,255); text-align:center"> <div style="text-align:left">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. </div> <div style="text-align:left"><br> </div> <div style="text-align:left">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.<br> </div> <div style="text-align:left"><br> </div> <div style="text-align:left">Suggested topics for submissions are (but not limited to):<br> <ul> <li>Computer vision in Fashion (image classification, semantic segmentation, object detection.)</li><li>Deep learning in recommendation systems for Fashion.</li><li>Learning and application of fashion style (personalized style, implicit and explicit preferences, budget, social behaviour, etc.)</li><li>Size and Fit recommendations through mining customers implicit and explicit size and fit preferences.</li><li>Modelling articles and brands size and fit similarity.</li><li>Usage of ontologies and article metadata in fashion and retail (NLP, social mining, search.)</li><li>Addressing cold-start problem both for items and users in fashion recommendation.</li><li>Knowledge transfer in multi-domain fashion recommendation systems.</li><li>Hybrid recommendations on customers’ history and on-line behavior.</li><li>Multi- or Cross- domain recommendations (social media and online shops)</li><li>Privacy preserving techniques for customer’s preferences tracing.</li><li>Understanding social and psychological factors and impacts of influence on users’ fashion choices (such as Instagram, influencers, etc.)</li></ul> </div> <div style="text-align:left"><br> </div> <div style="text-align:left"><strong>Paper submission deadline</strong>: July 1st, 2019<br> <strong>Reviewer deadline</strong>: July 19th, 2019<br> <strong>Author notification</strong>: July 29th, 2019<br> <strong>Camera-ready version deadline</strong>: August 27th, 2019<br> <strong>Workshop</strong>: September 19th or 20th, 2019<br> </div> <div style="text-align:left"><br> </div> <div style="text-align:left">All deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.<br> </div> <div style="text-align:left"><br> </div> <div style="text-align:left">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: <a href="https://zalandoresearch.github.io/fashionxrecsys/" target="_blank">https://zalandoresearch.github.io/fashionxrecsys/</a> <br> <br> </div> <div style="text-align:left">If you have any questions, please contact us on: <strong>recsysxfashion@gmail.com</strong>.<br> </div> <div style="text-align:left"><br> </div> <div style="text-align:left">Kindest Regards,<br> </div> <div style="text-align:left">FashionXRecsys Organizers<br> </div> </div> <p><br> </p> </body> </html>