A Dive Into Algorithms
Get Booked
Book Riot
4.6 • 577 Ratings
🗓️ 21 July 2022
⏱️ 44 minutes
🧾️ Download transcript
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| 0:00.0 | Sanjeeves just received a decent bonus. |
| 0:02.3 | Nice work, Sanjeeve. He knows he could invest all of the money, but he's seen a new watch he likes. He's not worried. With his HSBC Premier bank account and access to their financial advice service, he can get a personalised plan for the future and know how much you can spend a day. Everything's Premier when your bank account is. Search HSBC Premier. HS.SBC UK, opening up a world of opportunity. |
| 0:23.1 | For financial advice, you need minimum £100,000. Other criteria and fees apply. Financial and other |
| 0:27.6 | eligibility criteria apply for HSBC Premier. |
| 0:45.9 | You are listening to the Get Booked Feed where we are doing a whole big experiment thing. |
| 0:52.6 | This is a special unplanned, but very exciting, at least to me, bonus episode about algorithms. |
| 0:57.2 | I am Jen Northington. I'm coming to from Book Riot. And I am here with special guest Emily Pullen from the New York Public Library. Hello, Emily. Hello, hello. |
| 1:05.2 | Welcome to get booked, sort of. I'm very happy to be here, very excited. |
| 1:12.9 | Yeah, so I will explain now a little bit about how this special extra episode came to be. |
| 1:18.8 | Emily and I have known each other for more than a decade. |
| 1:24.1 | Definitely more than a decade, yeah. |
| 1:25.9 | Possibly 20 years now? No, it can't be that long maybe maybe like |
| 1:30.3 | 15 yeah 15 is 12 to 15 yeah something like that um we met when we were baby booksellers |
| 1:36.9 | working at different bookstores I know and different cities in different parts of the country that's right |
| 1:43.6 | that's right but it was a friendship that was meant to be. |
| 1:47.7 | And our paths have since, you know, gone all over the place. |
| 1:51.2 | We did get to work together in Word bookstore in New York City for a while. |
| 1:54.7 | But now, obviously, Emily is a librarian. |
| 1:57.8 | And I saw her recently. |
| 2:00.5 | And we were talking about what was going on for us at work. |
| 2:03.9 | And I mentioned this experiment to you and you were like, that's so funny because, hey, yo, I wrote |
| 2:11.5 | my master's thesis about algorithms and bias and online recommendation tools. So it seemed like maybe it would be a |
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