Call for Workshop Papers
AdKDD 2019
in conjunction with
The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD
2019)
Anchorage, Alaska, USA, August 4th-8th, 2019
http://www.adkdd.org
Today, the average consumer spends 8+ hours a day across all devices
interacting with online content almost entirely sponsored by
advertisements. At $300B market share by 2020, online advertising and in
particular computational advertising is perhaps the most visible and
ubiquitous application of machine learning and one that interacts directly
with consumers. When done right, ads help us enrich our lives and creep us
out when done badly. Looking at the published literature over the last few
years, many researchers might consider computational advertising as a
mature field. Yet, the opposite is true. Computational advertising is
evolving, however, from ads controlled by monolithic publishers and
randomly rotating banner ads to highly personalized content experiences in
new feeds on mobile devices and even on TV—all utilizing data amassed from
petabytes of stored user data. Ads are far from done.
AdKDD & TargetAd workshops have had a lot of interest and success in the
past years. Total of twelve workshops have been organized every year since
2007, focusing on highlighting state-of-the-art advances in computational
advertising. All the workshops were well attended, often with standing room
only, and very well received both by the academic community and the
advertising industry. Motivated by these successes, for 2019 we are fully
merging the two workshops under one name, and are happy to announce AdKDD
2019, which will bring a strong program with invited talks from leaders in
the advertising industry. We look forward to seeing you in Anchorage to
discuss the past, present, and future of computational advertising!
Topics:
=======
The workshop focuses on three main aspects of computational advertising.
Evolution of computational advertising: Online advertising has progressed
beyond the notion of traditional desktop ads to ads that are native,
social, mobile, and contextual. In tandem, the rise of new mechanisms, such
as header bidding, complex ad exchanges, repeated auctions, ad blockers,
viewability trackers and others, challenge the traditional notions of
advertising. There also continues to exists controversial issues in
advertising such as privacy, security, fraud, ethics, and economic
attribution. We invite papers that are focused on some of the above aspects.
Large-scale and novel ad targeting: Recent advances in real-time, big data
systems, and easier accessibility to different types of data make it
possible to design more personalized and efficient ad targeting systems. We
invite papers that advance the state-of-the-art in related areas of ad
targeting.
Deployed systems & battle scars: We particularly encourage papers that
highlight experience in deploying real-time ad targeting systems, data and
audience insights, as well as position papers on the future of online
advertising.
Submission Instructions:
========================
Following KDD conference tradition, reviews are single-blind, and author
names and affiliations should be listed. Submitted papers will be assessed
based on their novelty, technical quality, potential impact,
insightfulness, depth, clarity, and reproducibility. For each accepted
paper, at least one author must attend the workshop and present the paper.
Submissions are limited to a total of six pages, including all content and
references, must be in PDF format, and formatted according to the new
Standard ACM Conference Proceedings Template. Additional information about
formatting and style files is available here.
All accepted papers will be published in the ACM Digital Library and
invited to present posters at the workshop.
Important Deadlines:
====================
Submission : May 12th, 2019
Decisions : June 2nd, 2019
Camera-ready : June 15th, 2019
Workshop : August 5th, 2019
Best Paper Awards:
==================
We are happy to announce that we will award best accepted papers for this
year’s workshop. Details are to be disclosed shortly.
Submission Website:
===================
https://easychair.org/conferences/?conf=adkdd2019
Program Committee Chairs:
=========================
Abraham Bagherjeiran (Amazon)
Nemanja Djuric (Uber ATG)
Mihajlo Grbovic (Airbnb)
Kuang-chih Lee (Alibaba)
Kun Liu (Amazon)
Vladan Radosavljevic (Spotify)
Suju Rajan (Criteo Research)
For further questions please contact a member of the organizing committee.
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