What is machine learning and how does Netflix use it for its recommendation engine?
What is an online recommendation engine?
Think about examples of machine learning you may have encountered in the past such as a website like Netflix that recommends what video you may be interested in watching next?
Are the recommendations ever wrong or unfair? We will give an example and explain how this could be addressed.

Machine learning is a field of artificial intelligence that Netflix uses to create its recommendation algorithm. The goal of machine learning is to teach computers to learn from data and make predictions based on that data. To do this, Netflix employs Machine Learning Engineers, Data Scientists, and software developers to design and build algorithms that can automatically improve over time. The Netflix recommendations engine is just one example of how machine learning can be used to improve the user experience. By understanding what users watch and why, the recommendations engine can provide tailored suggestions that help users find new shows and movies to enjoy. Machine learning is also used for other Netflix features, such as predicting which shows a user might be interested in watching next, or detecting inappropriate content. In a world where data is becoming increasingly important, machine learning will continue to play a vital role in helping Netflix deliver a great experience to its users.

Netflix’s recommendation engine is one of the company’s most valuable assets. By using machine learning, Netflix is able to constantly improve its recommendations for each individual user.
Machine learning engineers, data scientists, and developers work together to build and improve the recommendation engine.
- They start by collecting data on what users watch and how they interact with the Netflix interface.
- This data is then used to train machine learning models.
- The models are constantly being tweaked and improved by the team of engineers.
- The goal is to make sure that each user sees recommendations that are highly relevant to their interests.
Thanks to the work of the team, Netflix’s recommendation engine is constantly getting better at understanding each individual user.
How Does It Work?
In short, Netflix’s recommendation algorithm looks at what you’ve watched in the past and then makes recommendations based on that data. But of course, it’s a bit more complicated than that. The algorithm also looks at data from other users with similar watching habits to yours. This allows Netflix to give you more tailored recommendations.
For example, say you’re a big fan of Friends (who isn’t?). The algorithm knows that a lot of Friends fans also like shows like Cheers, Seinfeld, and The Office. So, if you’re ever feeling nostalgic and in the mood for a sitcom marathon, Netflix will be there to help you out.
But That’s Not All…
Not only does the algorithm take into account what you’ve watched in the past, but it also looks at what you’re currently watching. For example, let’s say you’re halfway through Season 2 of Breaking Bad and you decide to take a break for a few days. When you come back and finish Season 2, the algorithm knows that you’re now interested in similar shows like Dexter and The Wire. And voila! Those shows will now be recommended to you.
Of course, the algorithm isn’t perfect. There are always going to be times when it recommends a show or movie that just doesn’t interest you. But hey, that’s why they have the “thumbs up/thumbs down” feature. Just give those shows the old thumbs down and never think about them again! Problem solved.
Another angle :
When it comes to TV and movie recommendations, there are two main types of data that are being collected and analyzed:
1) demographic data
2) viewing data.
Demographic data is information like your age, gender, location, etc. This data is generally used to group people with similar interests together so that they can be served more targeted recommendations. For example, if you’re a 25-year-old female living in Los Angeles, you might be grouped together with other 25-year-old females living in Los Angeles who have similar viewing habits as you.
Viewing data is exactly what it sounds like—it’s information on what TV shows and movies you’ve watched in the past. This data is used to identify patterns in your viewing habits so that the algorithm can make better recommendations on what you might want to watch next. For example, if you’ve watched a lot of romantic comedies in the past, the algorithm might recommend other romantic comedies that you might like based on those patterns.
Are the Recommendations Ever Wrong or Unfair?
Yes and no. The fact of the matter is that no algorithm is perfect—there will always be some error involved. However, these errors are usually minor and don’t have a major impact on our lives. In fact, we often don’t even notice them!
The bigger issue with machine learning isn’t inaccuracy; it’s bias. Because algorithms are designed by humans, they often contain human biases that can seep into the recommendations they make. For example, a recent study found that Amazon’s algorithms were biased against women authors because the majority of book purchases on the site were made by men. As a result, Amazon’s algorithms were more likely to recommend books written by men over books written by women—regardless of quality or popularity.
These sorts of biases can have major impacts on our lives because they can dictate what we see and don’t see online. If we’re only seeing content that reflects our own biases back at us, we’re not getting a well-rounded view of the world—and that can have serious implications for both our personal lives and society as a whole.
One of the benefits of machine learning is that it can help us make better decisions. For example, if you’re trying to decide what movie to watch on Netflix, the site will use your past viewing history to recommend movies that you might like. This is possible because machine learning algorithms are able to identify patterns in data.
Another benefit of machine learning is that it can help us automate tasks. For example, if you’re a cashier and have to scan the barcodes of the items someone is buying, a machine learning algorithm can be used to automatically scan the barcodes and calculate the total cost of the purchase. This can save time and increase efficiency.
The Consequences of Machine Learning
While machine learning can be beneficial, there are also some potential consequences that should be considered. One consequence is that machine learning algorithms can perpetuate bias. For example, if you’re using a machine learning algorithm to recommend movies to people on Netflix, the algorithm might only recommend movies that are similar to ones that people have already watched. This could lead to people only watching movies that confirm their existing beliefs instead of challenged them.
Another consequence of machine learning is that it can be difficult to understand how the algorithms work. This is because the algorithms are usually created by trained experts and then fine-tuned through trial and error. As a result, regular people often don’t know how or why certain decisions are being made by machines. This lack of transparency can lead to mistrust and frustration.
What are some good datasets for Data Science and Machine Learning?
This scene in the Black Panther trailer, is it T’Challa’s funeral?
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- Michigan high school football player makes unbelievable no-look interception in state title gameby /u/Danny886 on November 28, 2023 at 10:09 am
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Reddit Science This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
- Ocean warming drives rapid dynamic activation of marine-terminating glacier on the west Antarctic Peninsulaby /u/burtzev on November 29, 2023 at 4:28 pm
submitted by /u/burtzev [link] [comments]
- Researchers from the University of Cambridge investigated the presence of GBS in the placenta of pregnant women and discovered an association with the risk of their baby being admitted to a neonatal unit.by /u/RhiannaSmithSci on November 29, 2023 at 4:12 pm
submitted by /u/RhiannaSmithSci [link] [comments]
- A first-principles model correctly predicts high-temperature superconducting properties and suggests a parameter that determines Tc in any high-temperature superconductorby /u/Minovskyy on November 29, 2023 at 3:44 pm
submitted by /u/Minovskyy [link] [comments]
- Researchers have successfully created a new semiconductor material that uses carbon quantum dots derived from birch leaves, in place of heavy metals and other critical raw materials.by /u/alexbeadlesci on November 29, 2023 at 2:50 pm
submitted by /u/alexbeadlesci [link] [comments]
- New Study Conducted by the University of Copenhagen Finds That People Care More About Dogs Than Cats in Denmark, UK and Austriaby /u/Pet1003 on November 29, 2023 at 2:06 pm
submitted by /u/Pet1003 [link] [comments]
- A 20-year Australian study (n=615) has found no evidence to suggest cannabis reduces illicit opioid use, and it may not be an effective long-term method of reducing harm for those with an opioid use disorder or problematic use of opioidsby /u/giuliomagnifico on November 29, 2023 at 1:30 pm
submitted by /u/giuliomagnifico [link] [comments]
- How global warming shakes the Earth: seismic data over the past four decades show ocean waves gaining strength as the planet warmsby /u/giuliomagnifico on November 29, 2023 at 1:05 pm
submitted by /u/giuliomagnifico [link] [comments]
- Eye-safe laser technology to diagnose traumatic brain injury. The novel technology is expected to be developed into a hand-held device for use in the critical ‘golden hour’ after traumatic brain injury.by /u/Wagamaga on November 29, 2023 at 12:35 pm
submitted by /u/Wagamaga [link] [comments]
- Pollution from cigarette butts likely costs US$186 billion over 10 years | The new study estimates $25.7 billion lost annually in waste management and damage to marine ecosystems.by /u/chrisdh79 on November 29, 2023 at 11:51 am
submitted by /u/chrisdh79 [link] [comments]
- Newborn babies can perceive the beat in music but not simply due to the statistical learning ability of newborns, instead that beat perception is actually a separate cognitive mechanism that is already active at birthby /u/giuliomagnifico on November 29, 2023 at 11:03 am
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- Researchers report that mailing HPV test kits directly to patients significantly increased cervical cancer screening rates, both in populations overdue for screening and those who had previously kept up to dateby /u/giuliomagnifico on November 29, 2023 at 10:56 am
submitted by /u/giuliomagnifico [link] [comments]
- Walking at faster speeds is associated with a graded decrease in the risk of type 2 diabetes. Dose–response analysis suggested that the risk of type 2 diabetes decreased significantly at a walking speed of 4 km/h and above.by /u/mvea on November 29, 2023 at 10:38 am
submitted by /u/mvea [link] [comments]
- Kids who feel their parents are less reliable take fewer risks vital to learning and growth. New research suggests children without predictable support from the adults in their lives are less willing to take risks to explore and learn about the world — and reap those rewards.by /u/mvea on November 29, 2023 at 10:27 am
submitted by /u/mvea [link] [comments]
- New study highlights the crucial role of parental engagement on teen development. In a recent study involving Swiss adolescents, researchers discovered that parental involvement significantly increases prosocial behavior in teens but does not necessarily decrease internalizing problems.by /u/mvea on November 29, 2023 at 10:05 am
submitted by /u/mvea [link] [comments]
- Scientists improved the most widely used technology for producing single-walled carbon nanotube films — a promising material for solar cells, LEDs, flexible and transparent electronics, medical imaging, and more. They almost tripled carbon nanotuble yield without compromising quality.by /u/Skoltech_ on November 29, 2023 at 8:28 am
submitted by /u/Skoltech_ [link] [comments]
- A new study led by UCL researchers confirms that autistic people experience a reduced life expectancy, however the number of years of life lost may not be as high as previously claimedby /u/BlitzOrion on November 29, 2023 at 7:43 am
submitted by /u/BlitzOrion [link] [comments]
- Research has found that 45% of workers would be willing to accept a pay cut in exchange for remote work flexibilityby /u/FunnyGamer97 on November 29, 2023 at 4:20 am
submitted by /u/FunnyGamer97 [link] [comments]
- 6+ hours/day of sedentary leisure time linked to doubling in fibroids risk | Risk seems to be linear in women who’ve not yet gone through menopauseby /u/chrisdh79 on November 29, 2023 at 2:08 am
submitted by /u/chrisdh79 [link] [comments]
- Levels of atmospheric aerosols and greenhouse gas emissions will have a significant impact on the efficiency and cost of solar energy, analysis of Global Climate Models concludesby /u/unsw on November 29, 2023 at 1:33 am
submitted by /u/unsw [link] [comments]
- "results showed that IV infusions of DMT... were psychologically and physiologically well tolerated, and that the protocol was effective at extending the duration of the psychological effects of DMT, achieving a steady-state of subjective with low-to-negligible changes in anxiety"by /u/thepsychedelicpulse on November 28, 2023 at 10:59 pm
submitted by /u/thepsychedelicpulse [link] [comments]
Health Health, a science-based community to discuss health news and the coronavirus (COVID-19) pandemic
- Suicide deaths reached a record high in the US in 2022, despite hopeful decreases among children and young adults | CNNby /u/Maxcactus on November 29, 2023 at 4:09 pm
submitted by /u/Maxcactus [link] [comments]
- New Zealand smoking ban: Health experts criticise new government's shock reversalby /u/Sariel007 on November 29, 2023 at 2:13 pm
submitted by /u/Sariel007 [link] [comments]
- Omicron variants may cause fewer long COVID cases, study saysby /u/euronews-english on November 29, 2023 at 12:32 pm
submitted by /u/euronews-english [link] [comments]
- Walking pace could impact diabetes risk, study findsby /u/goki7 on November 29, 2023 at 12:27 pm
submitted by /u/goki7 [link] [comments]
- France unveils price hike and new restrictions to reduce smokingby /u/euronews-english on November 29, 2023 at 11:27 am
submitted by /u/euronews-english [link] [comments]
- China's cancer drug finally approved in the US - but it will cost 30 times more to buyby /u/duderos on November 29, 2023 at 11:23 am
submitted by /u/duderos [link] [comments]
- CDC wants to fortify corn masa flour with folic acid to prevent birth defectsby /u/Maxcactus on November 29, 2023 at 10:09 am
submitted by /u/Maxcactus [link] [comments]
- U.S. life expectancy starts to recover after sharp pandemic declineby /u/Maxcactus on November 29, 2023 at 9:58 am
submitted by /u/Maxcactus [link] [comments]
- Pollution from cigarette butts cost world US $186 billion in 10 yearsby /u/intengineering on November 29, 2023 at 8:27 am
submitted by /u/intengineering [link] [comments]
- Cardioid model offers glimpse into early heart developmentby /u/intengineering on November 29, 2023 at 8:25 am
submitted by /u/intengineering [link] [comments]
- After decades of improvement, cardiovascular health rates on worrying pathby /u/thinkB4WeSpeak on November 29, 2023 at 6:25 am
submitted by /u/thinkB4WeSpeak [link] [comments]
- Walking faster linked to ‘significantly lower risk’ of developing type 2 diabetesby /u/app1etree on November 29, 2023 at 12:23 am
submitted by /u/app1etree [link] [comments]
- Texas AG’s office argues women should sue doctors — not state — over lack of abortion accessby /u/Majano57 on November 28, 2023 at 10:11 pm
submitted by /u/Majano57 [link] [comments]
- Before dying, she made a fund to cancel others' medical debt — nearly $70M worthby /u/rustyseapants on November 28, 2023 at 6:58 pm
submitted by /u/rustyseapants [link] [comments]
- Elon Musk’s Brain Implant Startup Is Ready to Start Surgeryby /u/911_reddit on November 28, 2023 at 6:53 pm
submitted by /u/911_reddit [link] [comments]
- What's causing the mysterious wave of childhood pneumonia in China?by /u/scientificamerican on November 28, 2023 at 5:56 pm
submitted by /u/scientificamerican [link] [comments]
- More than 810,000 Texas children booted from Medicaid coverageby /u/audiomuse1 on November 28, 2023 at 5:32 pm
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- Biden looks to boost domestic drug manufacturing amid shortagesby /u/audiomuse1 on November 28, 2023 at 5:19 pm
submitted by /u/audiomuse1 [link] [comments]
- Surge in respiratory illnesses among children in China swamping hospitalsby /u/CBSnews on November 28, 2023 at 2:55 pm
submitted by /u/CBSnews [link] [comments]
- U.K. detects first human case of 'distinct' form of swine fluby /u/Bean_Tiger on November 28, 2023 at 1:53 pm
submitted by /u/Bean_Tiger [link] [comments]
Today I Learned (TIL) You learn something new every day; what did you learn today? Submit interesting and specific facts about something that you just found out here.
- TIL the state of Michigan guarantees two free meals for all public school studentsby /u/SAT0725 on November 29, 2023 at 4:21 pm
submitted by /u/SAT0725 [link] [comments]
- TIL during the filming of The Outlaw Josey Wales, Clint Eastwood persuaded the producer to fire the director and Eastwood took over the role. In response, the Directors Guild of America created the Eastwood Rule prohibiting an actor or producer from firing the director and then becoming director.by /u/trifletruffles on November 29, 2023 at 3:18 pm
submitted by /u/trifletruffles [link] [comments]
- TIL that a Florida attorney, E.E. Calloway, believed that the area around Florida’s Torreya State Park was the site of the biblical Garden of Eden and created a tourist attraction where people could tour the site. He also believed the torreya trees in the park were used to build Noah’s Ark.by /u/99titan on November 29, 2023 at 2:03 pm
submitted by /u/99titan [link] [comments]
- TIL that because baseball player Shoeless Joe Jackson was illiterate, and his wife usually signed his name, his actual autographs are very valuable. A signed photo of himself was the highest price ever paid for a sports photo, $1.47 million.by /u/thinkofanamefast on November 29, 2023 at 1:00 pm
submitted by /u/thinkofanamefast [link] [comments]
- TIL that the first Taser model used gunpowder as a propellant so it was classified as a firearm.by /u/Aberance_Off on November 29, 2023 at 12:03 pm
submitted by /u/Aberance_Off [link] [comments]
- TIL that the idea of Napoleon losing all his troops to the "Russian Winter" is a misconception. He actually lost the majority to the "Russian Summer", due to disease, starvation, heat exhaustion, desertion, and suicide. He launched his invasion in June and within two months had lost half of his men.by /u/CalvinAndHobnobs on November 29, 2023 at 11:42 am
submitted by /u/CalvinAndHobnobs [link] [comments]
- TIL: The Trauco are dwarf or goblin like creates in Chile mythology who live deep in the forest, are incredibly ugly, and have no feet. However, they are extremely alluring to young women. Since they are irresistible due to their sexual potency, the creature is used to explain unwanted pregnancies.by /u/Flares117 on November 29, 2023 at 10:52 am
submitted by /u/Flares117 [link] [comments]
- TIL that in 250 million years all continents on our planet will converge and form a new supercontinent, Pangea Ultima. This may also lead to a climate tipping point and Earth becoming uninhabitable for mammals.by /u/neromoneon on November 29, 2023 at 8:19 am
submitted by /u/neromoneon [link] [comments]
- TIL that in addition to being an award-winning comedic actress know for her various film and television roles, Julia Louis-Dreyfus is the daughter of French billionaire businessman Gérard Louis-Dreyfus.by /u/Xerxes2004 on November 29, 2023 at 5:45 am
submitted by /u/Xerxes2004 [link] [comments]
- TIL sculptor Anish Kapoor bought exclusive rights to the Vantablack, world’s “blackest black". So artist Stuart Semple developed a new pigment “pinkest pink” to rival the exclusivity of Kapoor’s black. Semple’s pigment was released on sale to anyone in the world except Anish Kapoor.by /u/rustyyryan on November 29, 2023 at 5:32 am
submitted by /u/rustyyryan [link] [comments]
- TIL: Winston Churchill wrote an estimated eight to ten million words in more than forty books, thousands of newspaper and magazine articles, and at least two film scripts. In 1953, he won the Nobel Prize for Literature.by /u/theotherbogart on November 29, 2023 at 4:16 am
submitted by /u/theotherbogart [link] [comments]
- TIL that JFK didn’t invite Sammy Davis Jr. to his 1961 inauguration as Sammy had married a white woman, and JFK was worried that the presence of an interracial couple would upset Southerners. Dean Martin, who was angered by this news, refused to attend the inauguration in solidarity with Sammy.by /u/waitingforthesun92 on November 29, 2023 at 3:21 am
submitted by /u/waitingforthesun92 [link] [comments]
- TIL that approximately 1 out of every 10 adults in the US are millionairesby /u/Keerikkadan91 on November 29, 2023 at 1:05 am
submitted by /u/Keerikkadan91 [link] [comments]
- TIL of the "Shoe Fitting Flouroscope" or "X-Ray Shoe Fitter" which existed in shoe stores up until the 70's - Allowing customers (mostly children) to look through a viewer at a live X-Ray of their feet, to see the bones of their toes and how they lined up with the stitching of the shoe's sole.by /u/RiggzBoson on November 28, 2023 at 10:44 pm
submitted by /u/RiggzBoson [link] [comments]
- TIL Ted Bundy scored 39/40 on the Hare Psychopathy Checklist which is among the highest recorded scores of any serial killerby /u/Coldblood-13 on November 28, 2023 at 10:38 pm
submitted by /u/Coldblood-13 [link] [comments]
- TIL: a Saudi Billionaire once bought diplomatic immunity from the govt of St. Lucia so he could divorce his wife without paying alimony.by /u/Libralegend on November 28, 2023 at 10:08 pm
submitted by /u/Libralegend [link] [comments]
- TIL about Deep Lake, a lake in Antarctica that has such high salinity, 10 times saltier than the oceans, that it never freezes, even in the winter. Conditions in the lake are so hostile that almost nothing can survive there.by /u/BluBeams on November 28, 2023 at 10:03 pm
submitted by /u/BluBeams [link] [comments]
- TIL that the voice of Woody Woodpecker was done by his Creator's wife. She had to do so by submitting an anonymous audition tape after Walter Lantz rejected the idea that a woman could voice the male character.by /u/Swiggy1957 on November 28, 2023 at 9:50 pm
submitted by /u/Swiggy1957 [link] [comments]
- TIL researchers testing the Infinite Monkey theorem: Not only did the monkeys produce nothing but five total pages largely consisting of the letter "S", the lead male began striking the keyboard with a stone, and other monkeys followed by urinating and defecating on the machineby /u/kevin_1994 on November 28, 2023 at 8:26 pm
submitted by /u/kevin_1994 [link] [comments]
- TIL that horizontal collaboration—French women sleeping with German occupiers—was a major contributor to young men joining the French Resistanceby /u/BlindMaestro on November 28, 2023 at 6:58 pm
submitted by /u/BlindMaestro [link] [comments]