Hands-On Recommendation Systems with Python

Getting Started with Data Mining Techniques

In 2003, Linden, Smith, and York of Amazon.com published a paper entitled Item-to-Item Collaborative Filtering, which explained how product recommendations at Amazon work. Since then, this class of algorithmg has gone on to dominate the industry standard for recommendations. Every website or app with a sizeable user base, be it Netflix, Amazon, or Facebook, makes use of some form of collaborative filters to suggest items (which may be movies, products, or friends):

As described in the first chapter, collaborative filters try to leverage the power of the community to give reliable, relevant, and sometime, ...