Sotabase

Career

· Research Scholar, Netflix2022–2022
· Professor, UC San Diego2021–
· Research Scholar, Amazon2020–2022
· Associate Professor, UC San Diego2019–2021
· Assistant Professor, UC San Diego2014–2019
· Postdoctoral Researcher, Stanford University2011–2014
· Doctor of Philosophy - PhD, Computer Science, The Australian National University2008–2011
· Bachelor of Engineering - BE, Software Engineering, UNSW2003–2007
· Bachelor of Science - BS, Mathematics, UNSW2003–2007

Publications (274)

Self-Attentive Sequential Recommendation
Industrial Conference on Data Mining · 2018
3,234
cited
Image-Based Recommendations on Styles and Substitutes
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2015
2,696
cited
Learning to Discover Social Circles in Ego Networks
Neural Information Processing Systems · 2012
2,231
cited
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
The Web Conference · 2016
2,229
cited
Hidden factors and hidden topics: understanding rating dimensions with review text
ACM Conference on Recommender Systems · 2013
1,928
cited
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
Conference on Empirical Methods in Natural Language Processing · 2019
1,606
cited
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
AAAI Conference on Artificial Intelligence · 2015
1,078
cited
Community Detection in Networks with Node Attributes
2013 IEEE 13th International Conference on Data Mining · 2013
887
cited
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
Industrial Conference on Data Mining · 2016
827
cited
Inferring Networks of Substitutable and Complementary Products
Knowledge Discovery and Data Mining · 2015
793
cited
Adversarial Audio Synthesis
International Conference on Learning Representations · 2018
677
cited
Time Interval Aware Self-Attention for Sequential Recommendation
Web Search and Data Mining · 2020
675
cited
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews
The Web Conference · 2013
643
cited
Large Language Models are Zero-Shot Rankers for Recommender Systems
European Conference on Information Retrieval · 2023
471
cited
Translation-based Recommendation
ACM Conference on Recommender Systems · 2017
456
cited
BERT Loses Patience: Fast and Robust Inference with Early Exit
Neural Information Processing Systems · 2020
405
cited
Intent Contrastive Learning for Sequential Recommendation
The Web Conference · 2022
396
cited
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering
International Conference on Information and Knowledge Management · 2014
394
cited
Discovering social circles in ego networks
ACM Transactions on Knowledge Discovery from Data · 2012
392
cited
ReZero is All You Need: Fast Convergence at Large Depth
Conference on Uncertainty in Artificial Intelligence · 2020
335
cited
Sotabase