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 contemporary music from this time period. This experiment has shown that users are able to shape their own recommendations and expand their music tastes to include genres that they wouldn't have previously listened to.'

I have successfully transformed what could have been a 'personalised illusion', into a part of my base recommendation pool. 

While most of the data I have collected suggests that previous researchers have been correct. My experiment has proved that in some cases, a user can escape a filter bubble and gain control of their recommendations. 

This does not void the rest of my data however. It only shows how under certain circumstances, a user could potentially fight the filter bubble that has shaped their music tastes. This is shown through the RA's favouritism for contemporary music that is pushed to users because of online trends. (Spotify, No Date)

We will be tuning onto the last discover weekly tomorrow, ensuring we record any new genres that are recommended to us.   

Something to look into in future research or for the report is that recommendations are also pushed to users because Spotify has been payed (Monetary reasons for my some songs are being recommended)


Artists are not payed much on Spotify any way so big artists may take the 30% hit to ensure that they are recommended more and to a larger group of people.

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