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Cool Stuff Ride Home

Thu. 05/13 - I'll Have What She's Having: The Decline of Personalized Recommendations?

Cool Stuff Ride Home

Reggie Risseeuw and Marques Pfaff

News, Tech News, Science, Society & Culture

4.6732 Ratings

🗓️ 13 May 2021

⏱️ 17 minutes

🧾️ Download transcript

Summary

How Netflix’s new top ten lists actually work, some other features they’re testing out, and what their findings mean for the future of algorithmic recommendations. Plus, how drones are helping change what we thought we knew about great white sharks––in both good ways and bad. Sponsors: Indeed, Get a free $75 credit at Indeed.com/goodnews America Dissected, americadissected.com Links: The Real Story Behind Netflix's 'Top Ten' Most Popular Lists (Vulture) Spying on California's great white sharks with drones (LA Times) Enola Holmes is getting a sequel on Netflix (The Verge)  Wed. 08/26 - Netflix's Enola Holmes Hit With Lawsuit From Doyle Estate (Kottke Ride Home) Kottke.Org Jackson Bird on Twitter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0

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entrepreneurs like you sign up for your one dollar a month trial at shopify dot com slash setup

0:28.7

welcome to the cotkey ride home for Thursday, May 13th, 2021.

0:41.3

I'm Jackson Bird.

0:43.0

How Netflix's new top 10 lists actually work, some other features they're testing out,

0:49.6

and what their findings mean for the future of algorithmic recommendations.

0:55.3

Plus, how drones are helping change what we thought we knew about great white sharks.

1:01.9

In both good ways and not so good ways.

1:05.2

Here are some of the cool things from the news today.

1:10.7

So, Netflix, like every other platform out there, uses an algorithm to recommend content

1:16.2

to you based on your viewing behavior and whatever other data it has about you.

1:21.4

Even categories it displays like trending and popular are tailored to you individually.

1:29.1

It's kind of like Twitter's default for you trending display. Yes, those terms are actually trending in the location you selected,

1:34.7

but they're not necessarily the exact top trends. They're the top trends as curated for you.

1:41.7

And the same goes for Netflix. As Vulture explains it, if you've been watching a lot

1:46.0

of crime shows, you might see The Vanishing at the Cecil Hotel on the trending list. But if you

1:51.2

watch more sitcoms and comedies, you might see Schitt's Creek instead. They're both hugely popular

1:56.9

on Netflix right now, so they are both trending, but they're also tailored for you.

2:03.0

Recently, however, Netflix has been testing out actually objective recommendations with their

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