Netflix Wants To Improve Film And Series Recommendations: You’ve probably already noticed them on Netflix: the tags, that is emotionally colored keywords the Stranger Things label as “scary” and “exciting” and Bridgerton “romantic” or with “big feelings”. These words will probably become even more important for the streamer in the future, while other taste measurement displays will no longer apply.
No more percentages: Netflix will soon focus even more on moods and feelings
How Indiewire reported, they could Small green percentages will soon be a thing of the past be who predict whether the new Netflix film lift now 88% or only 62% suits your taste. This parameter, called a “match,” showed how much the Netflix algorithm believed that something might match your movie or series preferences. But instead of trying to mathematically show the preferences of its audience, Netflix wants to rely more on “tags” in the futurewhich are the words and phrases that appear under each streaming tile.
Bridgerton with tags
As the New York Times reported that Netflix is taking this change of course in taste calculation quite seriously: 30 full-time employees are currently working on tagging the films and series with appropriate keywords. Netflix’s product director Allan Donald explains this effort as follows:
Imagine if there were Magazines that had no headlines on their front pages, but only photographs. Tags make a big difference in the spontaneous decision: ‘This is for me’.
Netflix’s chief product officer Eunice Kim even told the Times that the chances of watching anything would drop rapidly if we were to 53 seconds hadn’t pressed play yet. With the keywords, Netflix wants to help us make quicker decisions in a short and concise manner. So perhaps the audience could not only “watch something stupid”, as Willem Dafoe recently described it, but rather find truly satisfying entertainment. And with that, return to Netflix.
These are the most common keywords on Netflix: Netflix Wants To Improve Film And Series Recommendations
In Netflix’s database should over 3000 different words and phrases exist as topic and mood indicators. Many seem logical, others like “smooth” encourage more philosophical speculation about what could be behind it.
Yellowstone is “rough”
The most common tags are “romantic”, “exciting” and “exciting”. The label “Occupation: farmhand” seems to be the least used in English. In the future, Netflix wants to work even harder on sharpening these words, merging similar keywords and possibly adding new tags. So that you can immediately classify that they are currently US hit series Yellowstone, newly released on Netflix is “rough”.
By the way, the fact that Netflix is constantly working on its recommendation algorithm is nothing new. Functions that are not accepted by the audience are quickly eliminated. Like the now no longer existing “Surprise me” function, which spontaneously suggested new content from the catalog to undecided people in 2021. Or maybe you remember the 5-star rating system that existed before the introduction of thumbs up and thumbs down feedback?
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