Introduction

In 2002, the world of music changed forever with the arrival of Last.fm and Audioscrobbler. These two groundbreaking websites introduced a new form of music sharing that used artificial intelligence and machine learning to allow users to share their musical preferences.

Technical Details

Last.fm used a collaborative filtering algorithm to suggest songs to users based on their preferences. Audioscrobbler, instead, used an automated learning model to identify trends in music and suggest artists for discovery.

Practical Implications

The introduction of the social web music sharing brought about a new form of interaction between users and services. Users could share their musical preferences, discover new bands and even collaborate with other users to create playlists.

Conclusion

The rise of the social web music sharing with Last.fm and Audioscrobbler marked a new chapter in the history of music. These music sharing services brought about a new form of interaction between users and services, and opened the door to the world of streaming music.