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Certificate of Completion
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE SPRING 2024 DATA SCIENCE BOOT CAMP
Katherine Martin
Roman Holowinsky, PhD
MAY 01, 2024
DIRECTOR
DATE
TEAM
Recipe Recommender
Nadir Hajouji, Felix Almendra Hernandez, Nathan Schley, Ali Arslanhan, Katherine Martin
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).