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

Author:

Agrawal Rahul1ORCID,Brahme Sarang2ORCID,Maitra Sourav2ORCID,Kalloori Saikishore3ORCID,Srivastava Abhishek4ORCID,Liu Yong5ORCID,Irissappane Athirai6ORCID

Affiliation:

1. ShareChat, UK

2. ShareChat, India

3. ETH Zürich, Switzerland

4. IIM Visakhapatnam, India

5. Huawei Noah's Ark Lab, Singapore

6. Amazon, USA

Publisher

ACM

Reference19 articles.

1. RecSys Challenge 2017

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

3. 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.

4. Dara Bahri , Heinrich Jiang , Yi Tay , and Donald Metzler . 2021 . Scarf: Self-supervised contrastive learning using random feature corruption. arXiv preprint arXiv:2106.15147 (2021). Dara Bahri, Heinrich Jiang, Yi Tay, and Donald Metzler. 2021. Scarf: Self-supervised contrastive learning using random feature corruption. arXiv preprint arXiv:2106.15147 (2021).

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

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