Recent advances in deep learning allow us to use the semantic content of items in recommendation systems, addressing a weakness of traditional methods. In this report we show how using the content of items can help solve common recommendation pitfalls such as the cold start problem, and open up new product possibilities.
Deep Bargain Book Shop
Deep Bargain Book Shop is an imaginary online book store that uses a semantic recommendation system to help customers explore its limited selection of books. The front page of the store shows recommendations based off current New York Times bestsellers. Customers can also search for any book and receive recommendations based on it. This is possible because the algorithm uses the text descriptions of books to make recommendations.
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