GitHub / unclebrod / YelpRecommender
The goal of this project was to build an explicit recommender system using collaborative filtering for restaurants in Charlotte using Yelp's Open Dataset. I wanted to explore the mechanics of recommendations systems, and explore a new library in Surprise.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/unclebrod%2FYelpRecommender
PURL: pkg:github/unclebrod/YelpRecommender
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 15.1 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: about 1 year ago
Pushed at: about 5 years ago
Last synced at: about 1 year ago
Topics: charlotte, cold-starts, collaborative-filtering, explicit, recommendation-system, recommender, restaurants, reviews, scores, surprise, surprise-python, svd-recommendation-algorithm, yelp-dataset