top of page
CertificateBackground.png

Certificate of Completion

ErdosHorizontal.png

THIS ACKNOWLEDGES THAT

HAS COMPLETED THE SPRING 2024 DATA SCIENCE BOOT CAMP

Katherine Martin

clear.png

Roman Holowinsky, PhD

MAY 01, 2024

DIRECTOR

DATE

TEAM

Recipe Recommender

Nadir Hajouji, Felix Almendra Hernandez, Nathan Schley, Ali Arslanhan, Katherine Martin

clear.png

We designed a recipe recommendation engine that suggests recipes based on a user query and a user's review history.
Our modeling focused mainly on trying to predict recipes that a user was likely to review. We tried some intuitive things, and they didn't work as well as we thought they would- but we obtained models that did a surprisingly good job predicting which reviews were left out of the training set using singular value decomposition.
We also created a user interface that allows a user to enter a freeform query, and that returns a list of recipes that not only match the query but also take the user's review history into account. We did this by combining our model (which quantified how well a recipe matches up with the user history) with a pretrained sentence transformer (which quantified how well a recipe matches the query).

Screen Shot 2022-06-03 at 11.31.35 AM.png
github URL
bottom of page