Divya Venugopalan
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View article: LiMAML: Personalization of Deep Recommender Models via Meta Learning
LiMAML: Personalization of Deep Recommender Models via Meta Learning Open
In the realm of recommender systems, the ubiquitous adoption of deep neural networks has emerged as a dominant paradigm for modeling diverse business objectives. As user bases continue to expand, the necessity of personalization and freque…
View article: Achieving Fairness via Post-Processing in Web-Scale Recommender Systems
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems Open
Building fair recommender systems is a challenging and crucial area of study due to its immense impact on society. We extended the definitions of two commonly accepted notions of fairness to recommender systems, namely equality of opportun…