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Certificate of Completion

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THIS ACKNOWLEDGES THAT

HAS COMPLETED THE SPRING 2023 DATA SCIENCE BOOT CAMP

Ethan Farber

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Roman Holowinsky, PhD

JUNE 07, 2023

DIRECTOR

DATE

TEAM

ArXiv Recommender System

Michael Geis, Ethan Farber, Jenia Rousseva, Jeeuhn Kim, Anirban Sharma

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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.

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github URL
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