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Certificate of Completion
![ErdosHorizontal.png](https://static.wixstatic.com/media/55f531_5a3b8885620c4f25b2d3edeca3ae2158~mv2.png/v1/fill/w_351,h_40,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/ErdosHorizontal.png)
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE SPRING 2023 DATA SCIENCE BOOT CAMP
Anirban Sharma
![clear.png](https://static.wixstatic.com/media/55f531_b9f3f13ce3aa4af78af2cc6d3563b81b~mv2.png/v1/fill/w_3,h_3,al_c,lg_1,q_85,enc_auto/clear.png)
Roman Holowinsky, PhD
JUNE 07, 2023
DIRECTOR
DATE
TEAM
ArXiv Recommender System
Michael Geis, Ethan Farber, Jenia Rousseva, Jeeuhn Kim, Anirban Sharma
![clear.png](https://static.wixstatic.com/media/55f531_b9f3f13ce3aa4af78af2cc6d3563b81b~mv2.png/v1/fill/w_3,h_3,al_c,lg_1,q_85,enc_auto/clear.png)
Design a system to recommend a user arXiv articles most relevant to their research interests. This will be based on an initial input of 'liked/disliked' articles, with the capacity to learn from additional user preference input. One goal is to create something with the ability to handle abrupt changes in interest. (E.g. after finishing a project on topic X, the user may want to lower the priority on articles related to X.)
This project will involve creating a dataset.
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/a994932411404ef3bb797ba005125f5d.png)
![](https://static.wixstatic.com/media/a994932411404ef3bb797ba005125f5d.png/v1/fill/w_45,h_45,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/a994932411404ef3bb797ba005125f5d.png)
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