Frank Portman
Twitter (United States)(US)
Publications by Year
Research Areas
Recommender Systems and Techniques, Advanced Graph Neural Networks, Spam and Phishing Detection, Topic Modeling, Social Media and Politics
Most-Cited Works
- → TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation(2022)40 cited
- → The 2021 RecSys Challenge Dataset: Fairness is not optional(2021)13 cited
- → RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter’s Home Timeline(2020)13 cited
- → RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline(2021)12 cited
- Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline(2020)
- → Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline(2020)7 cited
- → MiCRO: Multi-interest Candidate Retrieval Online(2022)1 cited
- → GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs(2022)1 cited
- → kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval(2022)1 cited