Briley Kenney has written about technology and consumer electronics for nearly two decades. Starting in the days of yore, covering Blackberry, he has a vast array of bylines.
Recommendations have gotten pretty accurate. From advertisements for products you've been looking at online to movies and show recommendations on your favorite streaming service — technology just seems to know what matches your interests.
That's especially true of platforms like Netflix, which is built on personalized recommendations to encourage its subscription model. You keep finding shows, movies, and games you like, which hopefully translates to renewing your subscription. But how do streaming services like Netflix always seem to know exactly what to recommend? It all revolves around the Netflix algorithm. When you first create your Netflix account, and there's no activity, the service asks you to choose a few titles of interest. Your initial recommendations are built using that information as a"jump start." From there, the recommendations shift based on how you engage and watch across the Netflix platform. Data on viewing history and title ratings factor in, but also the time of day you're browsing, languages you prefer, devices you use, how long you watched certain titles or content — like whether you finish a show — and even interactions of other members with similar tastes all influence your recommendations. So even though you might agree that, you may still see these titles as recommendations because of related content you've watched. As mentioned, the real star of the show here is the Netflix algorithm processing all that data. It helps the system recommend movies and shows accurately, and gets better over time. As more people use Netflix, it can provide more relevant recommendations.A basic computer algorithm is a series of steps or instructions meant to achieve a certain result. But in Netflix's case, the algorithm is more complex as it factors in robust forms of data like user engagement and personal interests. It's difficult to quantify data output when the input is not mathematical, but AI and machine learning solutions don't reason this way. There is a. Artificial intelligence simply follows instructions, and as more data is fed into the system, it becomes more proficient. One aspect of the Netflix algorithm might reason that if a user likes one movie, then they'll probably like other similar movies. Layering of multiple rules, for the algorithm to solve several equations, is what delivers targeted outputs — like Netflix recommendations — that are truly spot on. As Netflix describes, your platform usage data and that of similar users provides the signals, or inputs, for the recommendation algorithms. It's not perfect, but Netflix continually updates the algorithms with data to improve the prediction accuracy. That data feeds into the overall user experience to produce"fresh recommendations" and make the platform more interesting to its users. As this use of AI-based algorithms continues to advance, keep an eye on disruptor platforms like Showrunner that claim to be
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
The AirPods 4 and Lego’s brick-ified Grogu are our favorite deals this weekYou can score the AirPods 4 for 31 percent off right now. There are also deals available on an adorable Lego Star Wars Grogu set and Philips Hue smart bulbs.
Read more »
I Just Watched This New Netflix Comedy — and It's One of My Favorite 2025 ShowsNetflix's new military dramedy will make you laugh and cry, and for good reason. We break down why it's one of 2025's best shows
Read more »
Proud Mom Princess Kate Reveals Another One of Princess Charlotte's Favorite 'Activities'Amy Mackelden is the weekend editor at Marie Claire, where she covers celebrity and royal family news. She was the weekend editor at Harper’s BAZAAR for three years, where she covered breaking celebrity and entertainment news, royal stories, fashion, beauty, and politics.
Read more »
Taylor Swift’s New Favorite 86% RT Thriller Series Is Dominating Streaming With 25M ViewersTaylor Swift on the red carpet.
Read more »
My 18 Favorite Fashion Deals At Nordstrom’s Fall SaleWe found all the on-sale fashion — from pants and shirts to shoes and bras — that’s worth buying during Nordstrom’s Fall Saving’s Event.
Read more »
Interior Designers' Favorite Sofa Shops and Must-Have Couch StylesLeading interior designers share their top sofa brands and favorite couch picks, offering insights into quality, style, and timeless design for anyone looking to invest in their living space.
Read more »