Connectionists: CfP - AdKDD @ KDD2026

Tue Apr 7 04:10:53 EDT 2026

Call for Workshop Papers

 The 20th Edition of AdKDD - AdKDD 2026

in conjunction with

The 32st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD
2026)

Jeju, Korea, August 9th - 13th, 2026

http://www.adkdd.org

As of the second quarter of 2024, the worldwide internet user spent more
than 6.5 hours daily across all devices interacting with online content
almost entirely sponsored by advertisements. At almost $700B global market
size in 2024, and expected to reach $870B by 2027, digital advertising has
already surpassed traditional ads in global spending and continues to grow.
Digital 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 connect us to
opportunities to enrich our lives and creep us out when done badly.
Recently at the forefront of political battles between governments, large
multinational corporations, and consumers, digital advertising remains a
dynamic industry and research area.

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 from
simple rule-based ads controlled by monolithic publishers and randomly
rotating banner ads to highly personalized content experiences within
native, video, and display formats on mobile devices, connected TV, and
audio—all utilizing data amassed from petabytes of stored user data
collected increasingly through inferred identity providers. The increasing
use of sequence models and the rise of Generative AI is spawning new
directions such as the auto-generation of ad creatives or pay-for-use
shopping assistants. Ads are far from done.

The AdKDD workshops have had a lot of interest and success in the past
years. A total of eighteen 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. We look forward to seeing you in-person 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 increasing application of Graph-based NN and
Generative AI models, challenge the traditional notions of advertising.
There also continue to exist 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 the 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.
In addition, for each paper we expect to have at least one author also act
as a reviewer, to help reduce the reviewing load in the case of a larger
number of submissions.

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
<http://www.acm.org/publications/proceedings-template>.

All accepted papers will be archived on the AdKDD website, and we are also
working on having them published in official proceedings as well.

Please note: All of the attendees need to register through the main
conference of KDD. In addition, in line with earlier KDD workshops, we do
not provide separate registration only for the workshop itself.

Important Deadlines (anywhere on Earth):

Submission     :  May 20th, 2026

Decisions         : June 8th, 2026

Camera-ready : June 15th, 2026

Video Submission: July 12th, 2026

Workshop        :  August 10th, 2026

Submission Website:

https://easychair.org/conferences/?conf=adkdd2026

Program Committee Chairs:

Abraham Bagherjeiran <https://www.linkedin.com/in/abagher> (eBay)

Nemanja Djuric <https://djurikom.github.io/> (Aurora Innovation)

Kuang-chih Lee <http://vision.ucsd.edu/~leekc/> (Walmart)

Suju Rajan <https://www.linkedin.com/in/suju-rajan-9b56581> (Amazon)

Vladan Radosavljevic
<https://www.linkedin.com/in/vladan-radosavljevic-69244265/> (Spotify)

For further questions please contact the organizers at organizers at adkdd.org.
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