RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising

Author:

Agrawal Rahul1ORCID,Brahme Sarang2ORCID,Maitra Sourav2ORCID,Srivastava Abhishek3ORCID,Irissappane Athirai4ORCID,Liu Yong5ORCID,Kalloori Saikishore6ORCID

Affiliation:

1. ShareChat, U.K

2. ShareChat, India

3. IIM Visakhapatnam, India

4. Amazon, USA

5. Huawei Noah's Ark Lab, Singapore

6. ETH Zurich, Switzerland

Publisher

ACM

Reference10 articles.

1. RecSys Challenge 2017

2. RecSys Challenge 2023: Deep Funnel Optimization with a Focus on User Privacy

3. RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline

4. Vito Walter Anelli , Saikishore Kalloori , Bruce Ferwerda , Luca Belli , Alykhan Tejani , Frank Portman , Alexandre Lung-Yut-Fong , Ben Chamberlain , Yuanpu Xie , Jonathan Hunt , 2021 . RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline. In Proceedings of the 15th ACM Conference on Recommender Systems. 819–824 . Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, 2021. RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline. In Proceedings of the 15th ACM Conference on Recommender Systems. 819–824.

5. The 2021 RecSys Challenge Dataset: Fairness is not optional

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