top of page
Certificate of Completion
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE SPRING 2023 DATA SCIENCE BOOT CAMP
Ethan Farber
Roman Holowinsky, PhD
JUNE 07, 2023
DIRECTOR
DATE
TEAM
ArXiv Recommender System
Michael Geis, Ethan Farber, Jenia Rousseva, Jeeuhn Kim, Anirban Sharma
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.
bottom of page