Difference between revisions of "Netflix Algorithm"

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An '''Algorithm''' is defined as a set of precise steps and distinct states used to express the detailed structure of a program or the order of events that occurred in a system <ref>Cormen, Thomas H. et al. (2009). ''Introduction to Algorithms;'. MIT Press.</ref>.Algorithms are involved in many aspects of daily life and in complex computer science concepts. They often use repetition of operations to allow people and machines to execute tasks more efficiently by executing tasks faster and using fewer resources such as memory.  On a basic level, an algorithm is a system working through different iterations of a process<ref>Lim, Brian (December 7, 2016). [e27.co/brief-history-algorithms-important-automation-machine-learning-everyday-life-20161207/ "A Brief History of Algorithms (and Why It's so Important in Automation, Machine Learning, and Everyday Life)"] ''e27''.</ref>. They can help turn systematic and tedious tasks into fast, automated processes. Large companies particularly value robust algorithms because their infrastructure depends on efficiency to remain profitable on a massive scale<ref>Rastogi, Rajeev, and Kyuseok Shim (1999). "Scalable algorithms for mining large databases." ''Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining''. ACM.</ref>.
 
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'''Netflix, Inc.''' is an American subscription video on-demand over-the-top streaming service and production company based in Los Gatos, California. Netflix offers personalized recommendations, to help users find shows and movies of interest to them, which are at the core of the product. To this end, Netflix develops and uses a recommendation system using algorithms. Netflix lets users choose a few titles that you like when they first make a profile.<ref>How Netflix's Recommendations System Works. Help Center. (n.d.). Retrieved January 25, 2023, from https://help.netflix.com/en/node/100639#:~:text=We%20estimate%20the%20likelihood%20that,preferences%20on%20our%20service%2C%20and.</ref>.  
 
'''Netflix, Inc.''' is an American subscription video on-demand over-the-top streaming service and production company based in Los Gatos, California. Netflix offers personalized recommendations, to help users find shows and movies of interest to them, which are at the core of the product. To this end, Netflix develops and uses a recommendation system using algorithms. Netflix lets users choose a few titles that you like when they first make a profile.<ref>How Netflix's Recommendations System Works. Help Center. (n.d.). Retrieved January 25, 2023, from https://help.netflix.com/en/node/100639#:~:text=We%20estimate%20the%20likelihood%20that,preferences%20on%20our%20service%2C%20and.</ref>.  
  
 
Based on this, first form a recommendation, and develop the algorithm by tracking the following while you are using the app.
 
Based on this, first form a recommendation, and develop the algorithm by tracking the following while you are using the app.
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== Netflix Algorithm Recommendation Engines ==
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Netflix’s recommendation has the most successful engine. According to News 10, 47% of North Americans use Netflix over other video streaming services. It’s so accurate that 80% of Netflix viewer activity is driven by personalized recommendations from the engine.<ref>Meltzer, R. (2020, July 7). How Netflix utilizes Data Science. Lighthouse Labs. Retrieved January 25, 2023, from https://www.lighthouselabs.ca/en/blog/how-netflix-uses-data-to-optimize-their-product.</ref>. As of 2016, Netflix's recommended engine saves more than $1 billion a year in customer acquisition costs for Netflix.
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Netflix's algorithm ranks and constructs titles using machine learning systems such as reinforcement learning, matrix factorization, and other algorithmic approaches.

Revision as of 02:20, 27 January 2023

Netflix, Inc. is an American subscription video on-demand over-the-top streaming service and production company based in Los Gatos, California. Netflix offers personalized recommendations, to help users find shows and movies of interest to them, which are at the core of the product. To this end, Netflix develops and uses a recommendation system using algorithms. Netflix lets users choose a few titles that you like when they first make a profile.[1].

Based on this, first form a recommendation, and develop the algorithm by tracking the following while you are using the app.


Netflix Algorithm Recommendation Engines

Netflix’s recommendation has the most successful engine. According to News 10, 47% of North Americans use Netflix over other video streaming services. It’s so accurate that 80% of Netflix viewer activity is driven by personalized recommendations from the engine.[2]. As of 2016, Netflix's recommended engine saves more than $1 billion a year in customer acquisition costs for Netflix.

Netflix's algorithm ranks and constructs titles using machine learning systems such as reinforcement learning, matrix factorization, and other algorithmic approaches.
  1. ↑ How Netflix's Recommendations System Works. Help Center. (n.d.). Retrieved January 25, 2023, from https://help.netflix.com/en/node/100639#:~:text=We%20estimate%20the%20likelihood%20that,preferences%20on%20our%20service%2C%20and.
  2. ↑ Meltzer, R. (2020, July 7). How Netflix utilizes Data Science. Lighthouse Labs. Retrieved January 25, 2023, from https://www.lighthouselabs.ca/en/blog/how-netflix-uses-data-to-optimize-their-product.
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