Aaron Gonzales

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 5

Top Topics

Collaborative Filtering Recommendation

Semantic Similarity Measure

Recommendation Algorithms

Machine Learning

Top Venues

IEEE Trans. Parallel Distributed Syst.

Publications

Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 4 (8) (2023)
Luca Belli, Kyra Yee, Uthaipon Tantipongpipat, Aaron Gonzales, Kristian Lum, Moritz Hardt
County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline. CoRR (2022)
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. CoRR (2022)
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. Patterns 3 (8) (2022)
Taylor L. Groves, Ryan E. Grant, Aaron Gonzales, Dorian C. Arnold
Unraveling Network-Induced Memory Contention: Deeper Insights with Machine Learning. IEEE Trans. Parallel Distributed Syst. 29 (8) (2018)