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, USA, August 6th-10th, 2023

https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.adkdd.org%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634495692%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=jFbIRArbjxAEqxH0lS7yvPg3qI0lTYgxrC3xDhjDQhw%3D&reserved=0


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<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.acm.org%2Fpublications%2Fproceedings-template&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634495692%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=6flCvCS7eT485SM%2FIW8jUlpbtajoV9xfPeMkuRD6DTw%3D&reserved=0>.


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://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Dadkdd2023&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634495692%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=1jGBg%2BkgbV4okJ8sL3djnmjBSOI2ep5Q8O77tSx7xoQ%3D&reserved=0


Program Committee Chairs:

Abraham 
Bagherjeiran<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fabagher&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634495692%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=2ym2hhwE%2BlhqVQBxUBDesrr%2BlLcaiGmMj3y%2BqqshVyY%3D&reserved=0>
 (eBay)

Nemanja 
Djuric<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdjurikom.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634495692%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=J21Dl7v34Nqw84YeM4ZchnCpNy198fNF3BL6myMQ%2B9g%3D&reserved=0>
 (Aurora Innovation)

Kuang-chih 
Lee<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fvision.ucsd.edu%2F~leekc%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634495692%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=CHIJHjR%2FTogoXSCy0woYx%2FUYz0FY%2BU74vCDCn5W87W0%3D&reserved=0>
 (Alibaba)

Linsey 
Pang<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Flinsey-pang-50590450&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634651924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=Xr89quut118RTYh5T9MrgdwrWasrB76pnusygcow3Bg%3D&reserved=0>
 (Walmart Labs)

Suju 
Rajan<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fsuju-rajan-9b56581&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634651924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=6ksvF7pRK17qRjCCBTtqLjoS%2FlHCm%2F5tXrTj8%2B6msNg%3D&reserved=0>
 (Amazon)

Vladan 
Radosavljevic<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fvladan-radosavljevic-69244265%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4766a4299b664580662108db46593257%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638181122634651924%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=vrqhlMF6RhcvWOepx0ZWGUQjrOtv7tNaLlk2vqv%2B1r4%3D&reserved=0>
 (Spotify)

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