You can test it for yourself at IntoComics. In general, I would hope to get that number under 1, but think this is a fairly good performance under my current scope. My best performing model has an RMSE of 1.17. Tuning the parameters of my model did not prove to offer too much in terms of performance, but I settled on my best model using 50 latent features, regularization parameter at. Evaluationįor evaluation, I optimized the performance of my model based on optimizing for Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Once complete, U and P are multiplied together to get our new R estimate, filling in values across the user review matrix.
This process goes back and forth until there is no reduction in error seen. Then, we hold P constant and solve for U. We hold U constant (populated with random values) and solve for P. Through non-negative matrix factorization (NMF), we can derive from R the matrices for users (U) and items (P). The latent features are essentially a mathematically derived way of describing users and items. We first choose a number of latent features. This matrix is going to be fairly sparse, as users will have only rated some things, but we want to fill in those empty slots and guess what they might score based on what we do know about them. So I have my ratings matrix with users and their reviews for comics and movies (R). It may not always be a clearly labeled concept, but there is potentially some underlying aspect to your tastes that can be seen across media you consume. Below is an example of the type of assumption. In general, this project relies on the idea that there is some intrinsic taste to the content you enjoy.
BOOK SUGGESTER TV
My main thought was, how can I get people who watch movies and tv shows about comic books into comic books? How about with their preferences in movies and tv shows! How about I recommend you comics from those existing preferences. I thought there has to be a way to help people get a foot into comics without starting from scratch.
I think many people get that vision in their head of the comic shop owner on The Simpsons and want to run the other way. I get it, jumping into comics can be intimidating.
There are many people who see these shows and movies and are inspired to read, but don’t know where to start.
BOOK SUGGESTER MOVIE
As much as I love the medium, the comic book industry at large is often looked over in favor of the next big movie or tv show using their stories or characters.
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