Connectionists: CfP - AdKDD @ KDD 2023

Wed Apr 26 15:24:40 EDT 2023

Call for Workshop Papers

AdKDD 2023

in conjunction with

The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)

Long Beach, CA, August 6th-10th, 2023

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 over $550B global market size in 2022, and expected to pass $800B by 2026, digital advertising has already surpassed traditional ads in global spend and continues to grow despite economic headwinds. 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. Increasing use of sequence models and the rise of Generative AI is spawning new directions such as 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 sixteen 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 others, 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 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<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 28th, 2023

Decisions         :  June 13th, 2023

Camera-ready :  June 20th, 2023

Video Submission: July 24, 2023

Workshop        :  August 7th, 2023

Submission Website:

https://easychair.org/conferences/?conf=adkdd2023

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/> (Alibaba)

Linsey Pang<https://www.linkedin.com/in/linsey-pang-50590450> (Walmart Labs)

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

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

For further questions please contact the organizers at organizers at adkdd.org.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20230426/0e173b57/attachment.html>