RecSys Challenge 2022: Fashion Purchase Prediction

Author:

Landia Nick1,Cheung Frederick1,North Donna1,Kalloori Saikishore2,Srivastava Abhishek3,Ferwerda Bruce4

Affiliation:

1. Dressipi, United Kingdom

2. ETH Zürich, Switzerland

3. IIM Visakhapatnam, India

4. Department of Computer Science and Informatics, Jönköping University, Sweden

Publisher

ACM

Reference20 articles.

1. RecSys Challenge 2017

2. Vito Walter Anelli , Amra Delić , Gabriele Sottocornola , Jessie Smith , Nazareno Andrade , Luca Belli , Michael Bronstein , Akshay Gupta , Sofia Ira Ktena , Alexandre Lung-Yut-Fong , Frank Portman , Alykhan Tejani , Yuanpu Xie , Xiao Zhu , and Wenzhe Shi . 2020 . RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline. In Fourteenth ACM Conference on Recommender Systems ( Virtual Event, Brazil) (RecSys ’20). Association for Computing Machinery, New York, NY, USA, 623–627. https://doi.org/10.1145/3383313.3411532 Vito Walter Anelli, Amra Delić, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, and Wenzhe Shi. 2020. RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline. In Fourteenth ACM Conference on Recommender Systems(Virtual Event, Brazil) (RecSys ’20). Association for Computing Machinery, New York, NY, USA, 623–627. https://doi.org/10.1145/3383313.3411532

3. Vito Walter Anelli , Saikishore Kalloori , Bruce Ferwerda , Luca Belli , Alykhan Tejani , Frank Portman , Alexandre Lung-Yut-Fong , Ben Chamberlain , Yuanpu Xie , Jonathan Hunt , Michael Bronstein , and Wenzhe Shi . 2021 . RecSys 2021 Challenge Workshop: Fairness-Aware Engagement Prediction at Scale on Twitter’s Home Timeline. In Fifteenth ACM Conference on Recommender Systems ( Amsterdam, Netherlands) (RecSys ’21). Association for Computing Machinery, New York, NY, USA, 819–824. https://doi.org/10.1145/3460231.3478515 Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael Bronstein, and Wenzhe Shi. 2021. RecSys 2021 Challenge Workshop: Fairness-Aware Engagement Prediction at Scale on Twitter’s Home Timeline. In Fifteenth ACM Conference on Recommender Systems(Amsterdam, Netherlands) (RecSys ’21). Association for Computing Machinery, New York, NY, USA, 819–824. https://doi.org/10.1145/3460231.3478515

4. Recsys challenge 2018

5. XGBoost

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RecSys Challenge 2023 Dataset: Ads Recommendations in Online Advertising;ACM RecSys Challenge 2023;2023-09-19

2. Challenges for Anonymous Session-Based Recommender Systems in Indoor Environments;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

3. Make your next item recommendation model time sensitive;Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization;2023-06-16

4. RecSys Challenge 2022: Fashion Purchase Prediction;Sixteenth ACM Conference on Recommender Systems;2022-09-18

5. RecSys Challenge 2022 Dataset: Dressipi 1M Fashion Sessions;RecSys Challenge 2022;2022-09-18

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