Links for Video

Intro 

https://www.vox.com/technology/2018/10/1/17882340/how-algorithms-control-your-life-hannah-fry

https://www.nvidia.com/en-gb/glossary/recommendation-system/#

http://wesleyanargus.com/2023/09/25/filter-bubbles-and-bubblegrunge-thoughts-on-spotifys-new-daylist/

Filter bubbles

Spotify safety and privacy https://www.spotify.com/us/safetyandprivacy/understanding-recommendations#

Nvidia https://www.nvidia.com/en-gb/glossary/recommendation-system/#


Day 1 

Diversification https://medium.com/@maralazizi/balancing-relevance-and-diversity-how-diversification-reduces-exposure-bias-in-recommender-systems-f795f2a31df0





Random

https://www.musicbusinessworldwide.com/spotify-is-letting-record-labels-influence-personalized-recommendations-so-long-as-they-pay-for-it-in-royalties/

https://www.harrogateadvertiser.co.uk/business/number-of-companies-in-north-yorkshire-hits-record-high-5005117#

https://www.yorkshire.com/events/?srsltid=AfmBOoozpBSB7373_mDd5ajxoGMb0Nban2XSXN6U6t1UlwmaeG4hDPde

https://medium.com/beyond-the-build/the-inner-workings-of-spotifys-ai-powered-music-recommendations-how-spotify-shapes-your-playlist-a10a9148ee8d 

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Intro Script

Algorithms, almost seems like every year they dictate more and more things we do. From the things we buy, watch, scroll past and listen to. It seems like our whole life will soon be dictated by some algorithm that recommends us the most optimal daily routine taking our daily habits and diet into consideration. I'm sure that's fare into the distant future though there's definitely no apps that are already doing that. (Look dead into camera and pull ‘are you serious rn face)  https://clickup.com With how much Ai is being integrated into our lives it honestly seems like we have no control over what we are being recommended any more. And this is seemingly locking people into certain types of shows they watch, videos they see while doom scrolling and music they hear on apps like Spotify. Like I have a playlist on Spotify with over 2000 songs ok and I swear it feels like the same ten artists are being played more so than others.  The worst part about it though is that I don't...
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Day 29 (Success)

My work has payed off and it seems that there are ways to bring new recommendations into your base recommendation pool. Granted this took a lot of time and meant I had to listen to the Happy Hour playlist on repeat. However, we now have three new playlists that include this type of music. This includes: Daylist (Funk Soul Groovy Evening) Daily Mix 2 Martha Reeves and The Vandellas Mix Along with this, It seems the throwback subheading, on the homepage, is experimenting with older music. As I now have a 'Born in The 90s' playlist. Previously, this subheading only contained music that went as far back as the 2000s. This does show, that the diversification tools, that Spotify include in their recommender systems, are able to expand a users music tastes, when given enough historical data. If this experiment was to happen for a longer period, and a bot was used instead of myself, then the results would perhaps show that: 'While Spotify's RA does seem to favour pushing users ...
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Day 17

I got a chance to look into some different playlists. Today I listened to a playlist caled unwind 00s and it consisted of throwback songs from the past decades. It was a fun experience but it didnt really bring any new genres into the recommendation pool.  The playlist was mostly filled with popular artists from around the 2000s such as Bruno Mars and MGMT. 
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