Frank Portman

According to our database, Frank Portman authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval.

Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs.

Marios Papachristou, Rishab Goel, Frank Portman, Matthew Miller, Rong Jin

CoRR, 2022

MiCRO: Multi-interest Candidate Retrieval Online.

Frank Portman, Stephen Ragain, Ahmed El-Kishky

CoRR, 2022

kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval.

Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao

CoRR, 2022

TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation.

Ahmed El-Kishky, Thomas Markovich, Serim Park, Chetan Verma, Baekjin Kim, Ramy Eskander, Yury Malkov, Frank Portman, Sofía Samaniego, Ying Xiao, Aria Haghighi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

The 2021 RecSys Challenge Dataset: Fairness is not optional.

Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Kristian Lum, Jonathan Hunt, Michael M. Bronstein, Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Wenzhe Shi

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline.

Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael M. Bronstein, Wenzhe Shi

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.

Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi

CoRR, 2020

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

Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020