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Aren’t you satisfied with Spotify’s recent rollout of very specific niche mixes? mosquito?
Personally, I hope it lives up to its promise of Spotify HiFi (and it’s up to you whether you accept the TikTok-style revamp, thank you). But you seem to have other plans.
The concept I’m going to share is a cerebral concept, one that most of us don’t understand very well at best. It’s all about counterfactuals (opens in new tab)causality, and causal inference in machine learning mathematics (i.e. what if something didn’t happen, but what if it did? Add it to the math now!) The streaming giant Your next favorite album or playlist.
think of a movie sliding door (opens in new tab) However, while your music collection has a basic idea, the concept is a complex one, and you can’t go wrong.
what actually it is But? MIT Technology Review, a bimonthly technology publication based in Massachusetts, reports: (opens in new tab), a team of Spotify researchers built a new kind of machine learning model that for the first time captures the complex mathematics behind counterfactual analysis. Apparently, it can be used to identify the causes of past events and predict the effects of future events.
How does that translate to the 90s mix you streamed last night from 1am to 4am with a friend sharing a bottle of wine? It may improve. especially personalized recommendations.
Analysis: Music for the Heart? Or Spotify’s Path to Virtual Madness?
If you’ve noticed just two Jamiroquai songs on the subhead, chances are you’ll be sent a similar Acid Jazz playlist later. Give you a high five!
Now let’s raise the level. Stay with me and relax later with a nice chill mix. The whole approach of counterfactual mathematics is inspired by Einstein’s cone of light. The narrowest circle created by the thinnest cone is ‘likely’, then ‘plausible’, the cone widens towards ‘possible’ and finally ‘ridiculous’ and so forth. Think of a “futures cone” that Very unlikely.
have understood? good. Now, the basic theory behind counterfactual is to ask what would have happened in a certain situation if Helen (aka Gwyneth Paltrow) hadn’t boarded or missed the train. sliding door 1998, But instead decided to go see a movie and ended up spilling popcorn on the true love of her life… By changing the right variables, it’s possible to distinguish true causation from association and chance. It should be possible. So we narrow the cone!
Does it all sound like an empty little pie? Agree. For example, in 2009 he spent two months dancing to Falco songs at work, so he may have had the same Falco songs stuck in his brain over and over again. What does that say about me, Spotify? Maybe it wasn’t the music of my choice… Maybe I was also listening to Ella Fitzgerald on vinyl to relax.Did you know about itWhat of it?
But having counterfactual AI influence the outcome of an event, even if it never actually happened, is truly mind-boggling.
The Spotify team tested the model using real-world case studies, including one that looked at the health impacts of water sources in Kenya. And that’s just the future. Spotify isn’t the only tech giant racing toward machine learning models with the ability to perform cause and effect inference. The owner of Meta, LinkedIn, Amazon, and his TikTok, ByteDance is working on similar technology. Meta uses causal inference with its machine learning tools to manage the number (and type) of notifications Instagram can send users, apparently keeping them on their toes.
If Spotify implemented it, would it be any better than “We love Fontaines DC so let’s enjoy the Yard Act”? Impossible to say. do you want? No, no – but I don’t see Spotify as one of the best music streaming services of 2023, but an old friend from simpler times. minute (get upFYI) Just to rate the backing vocals… I don’t care what Spotify thinks about it.
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