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This is my third-person case study and I have been using Netflix’s personalized recommendation engine since August 2017. I have watched a ton of movies and TV series on Netflix and found it to be very useful. When Netflix’s recommendation algorithm was originally released, it was based on two criteria. Users’ viewing histories and “interesting” data on Netflix’s internal platform. The latter is where we come in. Interestingly, Netflix has a lot of “interest
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Title: Personalized Content Meets Arbitrage to Achieve Netflix’s Ascension to the Top PersonalizationDriven Arbitrage Abstract: In this essay, we’ll analyze the emergence of Netflix, a leader in personalized content. How does the company make use of customer data to create highly personalized services that drive revenue and market share? What other companies and technologies do they use to become the top personalizationDriven arbitrage? my latest blog post I shall discuss the topic in brief, citing relevant examples and statistics