* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://recsys.acm.org/recsys23/challenge/ * The RecSys 2023 Challenge will be organized by Rahul Agarwal and Sarang Brahme (ShareChat), Abhishek Srivastava (IIM Visakhapatnam, India), Liu Yong (Huawei, Singapore) and Athirai Irissappane (Amazon, USA) based on the data provided by ShareChat. This year’s challenge will focus on online advertising, improving deep funnel optimization, and user privacy. Online advertising has been a multi-billion-dollar industry since the early 2000 and has played a significant role in the growth of the internet. The key advantage of online advertising over conventional mass advertising is its inherent ability to personalize to users, democratizing advertising and enabling businesses of all sizes to participate, and providing the measurable impact of money spent to the advertisers. Over the past two decades, the nature of online advertising has also evolved tremendously from pure banner-based advertising, where advertisers were charged based on the number of ad impressions, to deep funnel optimizations, where advertisers can optimize for eventual sales. The efficacy of deep funnel optimization required extensive personalization and opened up rich problems in real-time auction design, large-scale machine learning, modeling delayed feedback, and behavioral understanding. As these systems matured, we also started developing a rich understanding of the need to preserve user privacy, ensure AI fairness, and prevent adversarial exploitation of the platform. In this challenge, we aim to provide a real-world ad dataset from the Sharechat and Moj apps to act as a benchmark for research into deep funnel optimization with a focus on user privacy. As part of the challenge, ShareChat will be releasing an anonymized dataset corresponds to roughly 10M random users who visited the ShareChat + Moj app over three months. A detailed description of the challenge is available on the website of the RecSys Challenge 2023 (http://www.recsyschallenge.com/2023/). Accepted contributions will be presented at the RecSys Challenge Workshop during the 17th ACM Recommender Systems Conference in September 2023 at Singapore. CHALLENGE ORGANIZERS * Rahul Agarwal, ShareChat, * Sarang Brahme, ShareChat, * Abhishek Srivastava, IIM Visakhapatnam * Liu Yong, Huawei, Singapore * Athirai Irissappane, Amazon, USA ADVISOR * Saikishore Kalloori, ETH Zürich