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News Recommender System based on a Reinforcement Learning Model

View the Project on GitHub haniehm26/rl-based-news-rs

News Recommender System

This is a News Recommender System implemented in Python, using an Online Reinforcement Learning approach, based on MIND dataset.

Model Structure

In each iteration, user id must be submitted. Then, news title and news abstract will be presented. Next, the model needs user feedback.


User ID

User ID must be something like: U687515, U192112, U629430, U449564, U24161, U79744, U219005, …

News Title

blah blah blah

News Abstract

blah blah blah

Read More?



Model Tracking

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Contact

Acknowledgement

Special thanks to Matin Zivdar for his sincerely guidance and mentorship. Many thanks to Rahnema College for their fantastic internship program, Azin Azarkar, Yasin Orouskhani, and everyone else who helped us through this project.