Submissions and reviews are handled electronically via EasyChair at the following address: https://easychair.org/conferences/?conf=dlrs2016. Submissions should be prepared in PDF format according to the standard double-column ACM SIG proceedings format.
The ideal length of a paper for DLRS 2016 is between 4-8 pages, but submissions have no strict page limits. Although the authors should avoid submitting unnecessarily long papers in order not to overwhelm reviewers.
DLRS 2016 accepts original and novel contributions that are neither published nor under review in other venues. Self publishing of the submitted papers in public repositories is permitted. We also encourage authors to make their code and datasets publicly available.
Papers must be electronically submitted through EasyChair by 23:59 UTC on the 24th of June, 2016. The authors should also submit their papers to arxiv.org and email their arxiv ID to us on the workshop’s email address.
All papers are peer reviewed by 3 members of the Program Committee consisting of researchers of deep learning and recommender systems.
Accepted papers are published in the workshop proceedings and time is allocated for their presentation at the workshop. At least one author of every accepted paper must attend the workshop and present their work.