If you click on the video, you can see a rating below the play button that says ” for you”. This rating is the match between the video and your interests calculat by Netflix’s recommendation system:
Even for the same movie, each user’s “suitability” score is unique. and viewing habits, a movie may be “91% suitable” for user A, but “71% suitable” for user B.
Encourage user fe back to improve
In addition to continuously collecting user behavior data, Netflix also actively encourages user fe back to allow the recommendation system to better understand the interests and preferences of each user. To the right of the video play button is a Thumbs Up (which means “I like this video”) and a Thumbs Down (which means “I don’t like this video”) button, which lets Netflix know whether you are interest in this video and then updates its recommendation system.
Improve system accuracy
Image cr it: Netflix
Netflix can provide the ultimate personaliz viewing bc data hong kong experience in every part and detail of the platform, thanks to its constantly updat user database and the coordinat algorithm. Currently, 80% of Netflix users’ viewing time comes from its movie recommendation system, which can be said to be truly “the right content to the right person”. Data analysis plays a crucial role in this; and Netflix has successfully purchas global hits (such as “House of Cards”) through big data in the past. We will also write another article to share with you in the future.
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Addict to Netflix? How Netflix’s personalization strategy keeps you watching
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With 209 million global subscribers (as of Q2 2021), Netflix is undoubt ly the most popular video streaming platform. As its main source of revenue comes from user subscription fees, Netflix focuses on improving user retention through personaliz video recommendations. The statement uk data clearly expresses its commitment to personalization: “Personalization… enables us to have not just one Netflix product, but hundr s of millions of products: one product for each member profile.” Let’s take a look at how Netflix attracts users by providing a personaliz experience.