Corpus ID: 7723585

Two Decades of Recommender Systems at Amazon

@inproceedings{Blake2017TwoDO,
  title={Two Decades of Recommender Systems at Amazon},
  author={M. Blake},
  year={2017}
}
  • M. Blake
  • Published 2017
    • F or two decades now, 1 Amazon. com has been building a store for every customer. Each person who comes to Amazon.com sees it differently, because it’s individually personalized based on their interests. It’s as if you walked into a store and the shelves started rearranging themselves, with what you might want moving to the front, and what you’re unlikely to be interested in shuffling further away. From a catalog of hundreds of millions of items, Amazon.com’s recommendations pick a small number… CONTINUE READING
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