Project Name
NYC TikTok Recommendation Engine Project
--Active
Project Intro/Objective
The purpose of this project is to create a recommendation engine of NYC restaurants based off trends on TikTok.
Methods Used
- API
- Machine Learning
Technologies
- Python
- Apache Spark
- Scala
- PostGreSQL
Project Description
- Collect TikTok data using TikTokApi in Python. Collect data from popular influencers and their recommendations on restaurants/bars.
- Store data in a database AWS RDS. SQLAlchemy to insert entries
- Scrape list of NYC restaurants
- Extract implicit recommendations using N-Gram
- Build recommendation engine using Collaborative filtering in Apache Spark/Scala
Next steps
- Build website for NYC recommendations
Contact
- Thomas Cho tcho187@gmail.com