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About Deep Learning Based Recommendation Systems
The document discusses a deep learning based recommendation system project presented by Nishanth Reddy Pinnapareddy to the Department of Computer Science at San Jose State University in fulfillment of the requirements for a Master of Science degree. The project aims to tackle the shortcomings of collaborative filtering recommendation systems using deep neural network techniques. It proposes replacing the inner product user-item interaction function used in matrix factorization with a neural network that learns the interaction function from data. Experimental results on two datasets demonstrate improvements over existing collaborative filtering methods.
Detailed Information
| Author: | ['zhreni'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 47 |
| Language: | English |
| Format: | |
| Price: | FREE |
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