Open abnvjain opened 1 month ago
This is more nuanced, looks better than before
Tried to question problems which users faces more frequently on such streaming platforms
One Uber challenge is personalisation. Each user might would be facing different set of challenges, but they might all prefer have a personalised music experience based on their own preferences. This might be very very specific for each user.
But also the same user listens to different genres which is actually out of box to them. Here the catch is that if someone suggests a song then it's an human instinct that they will slightly explore that and if they like it then user preferences changes. The whole main points regards to the better recommendation of music.
Same Old Songs: • Tired of hearing the same popular tracks? So are we.
Off-Target Suggestions: • Ever feel like the recommendations just don’t get you?
Genre Tunnel Vision: • Discovering new genres can be tough with limited variety.
Mainstream Overload: • It’s hard to find hidden gems when the platform pushes big hits.
Slow to Change: • Recommendations not keeping up with your changing tastes?
Algorithm Bias: • Feels like the algorithm’s stuck in a rut, doesn’t it?
Ignored Feedback: • Skipped a song? The platform doesn’t seem to notice.
Weak Discovery Tools: • Missing robust features for exploring new music?
Cultural Blind Spots: • Recommendations don’t reflect the diverse music cultures you love.
Commercial Influence: • Does it seem like ads and deals drive the recommendations more than your interests?