Doruk Kilitcioglu

General - try to acquire more data

2

We want to try and find ways of having information (ratings and book features) on newer books. Must be obtained legally.

[hpfrec](https://github.com/david-cortes/hpfrec) uses Poisson matrix factorization for recommendations. We want to see if it works better than our SVD.

We believe that the genre of a recommended book is very important to whether or not a user will like a book. I want to quantify this idea. Here are...

We need to implement [Mean Reciprocal Rank](https://en.wikipedia.org/wiki/Mean_reciprocal_rank) in order to compare our results to [literally the only other paper to use Goodbooks-10k](https://arxiv.org/pdf/1711.08379.pdf). It seems to be very straightforward to implement.

We should add [unit tests](https://docs.python.org/3/library/unittest.html) wherever possible, and set up Travis CI.

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