On September 19, BitHacks will be joined by Prof. Paramveer Dhillon, a professor at The University of Michigan Ann-Arbor, whose research is focused on Machine Learning and Natural Language Processing (NLP).
This session is the final installment of BitHacks Speaker Series I, where we’ve had professors from top computer science universities including Carnegie Mellon University and Brown University discuss their research and other topics of artificial intelligence.
Professor Dhillon’s presentation is titled “Modeling Dynamic User Interests: A Neural Matrix Factorization Approach” and he will discuss a research paper that he co-authored. It proposes a model that combines the simplicity of matrix factorization with the flexibility of neural networks to efficiently extract nonlinear patterns from massive text data collections. He will discuss the use of this model in understanding the dynamic news consumption interests of Boston Globe readers over a period of five years.
What: Session III of BitHacks Speaker Series I
When: Saturday, September 19, 10-11 AM PDT
Where: Zoom
Registration Form: https://forms.gle/
Website: https://www.bithacks.io/
Please email us at contact@bithacks.io if you have any questions or concerns.
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