Google Play Playlists will Choose Songs Based on Context
Joey Haar — November 15, 2016 — Pop Culture
References: blog.google & digitaltrends
It can be hard to find the right playlist among the millions of songs available on most streaming services, so Google Play playlists are trying to make it easier for users of the music streaming platform. Based on users' listening habits as well as environmental factors, Google Play Music will automatically create playlists tailor-made for any situation.
The Google Play playlists leverage Google's impressive deep learning algorithms and contextual tools. Because the playlists adapt to a variety of ever-changing factors, the use cases are infinitely variable. For instance, Google Play playlists could be designed with more relaxing music when users are at home on a Sunday afternoon, or they could consist of upbeat music for late on a Friday night.
Google hopes to use this sort of curation as a method for helping it stand out from the droves of music streaming service that offer similar catalogs of songs.
The Google Play playlists leverage Google's impressive deep learning algorithms and contextual tools. Because the playlists adapt to a variety of ever-changing factors, the use cases are infinitely variable. For instance, Google Play playlists could be designed with more relaxing music when users are at home on a Sunday afternoon, or they could consist of upbeat music for late on a Friday night.
Google hopes to use this sort of curation as a method for helping it stand out from the droves of music streaming service that offer similar catalogs of songs.
Trend Themes
1. Contextual Playlists - An opportunity for music streaming services to utilize contextual tools to automatically generate playlists tailored to a variety of ever-changing factors, such as users' listening habits and environmental factors.
2. Deep Learning Algorithms - Streaming services can employ deep learning algorithms to analyze user data and generate unique, personalized playlists based on individual listening habits and preferences.
3. Personalized Playlist Curation - The use of contextual tools and deep learning algorithms for playlist curation presents an opportunity for streaming services to differentiate themselves and enhance user experience.
Industry Implications
1. Music Streaming - Contextual playlist generation presents a disruptive innovation opportunity for music streaming services seeking to enhance user experience and differentiate themselves from competitors.
2. Artificial Intelligence - The use of deep learning algorithms and contextual tools for personalized playlist curation presents an opportunity for innovation and advancement in the field of artificial intelligence.
3. Marketing - Streaming services can utilize personalized playlist curation as a marketing tool to garner user loyalty and encourage continued use of their platform.
0.5
Score
Popularity
Activity
Freshness