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Scraping publicly-accessible Letterboxd data for movie recommendations
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username. A user's "star" ratings are scraped from their Letterboxd profile and assigned numerical ratings from 1 to 10 (accounting for half stars). Their ratings are then combined with a sample of ratings from the top 4000 most active users on the site to create a collaborative filtering recommender model using singular value...
Custom provides small to medium sized businesses, that buy and sell goods, with:
- an e-commerce front-end for their customers
- access to anti-fraud protected credit card verification
- a Point-of-Sale front-end for the shop floor
- Account report