Various companies have been using data inputs from users to provide users personalized contents, be it advertisements or media, and Spotify expresses that it would be using data inputs to determine the mood of the user for recommending media or advertisements based on the instant mood of the user.

“It is common for a media streaming application to include features that provide personalized media recommendations to a user”, Spotify explained in the application.

The patented technology uses recordings with Users’ speech and respective background noise to determine specific patterns. The technology is designed to process content metadata (relating to User’s speech) and environment metadata (relating to background sounds/ ambient sounds) from the recordings. The content metadata is used to determine user’s age, gender, emotional state, accent, etc. The technology is designed to extract intonation, stress and rhythm to detect the emotional state of the user. The emotional state of the user is basically categorized as happy, sad, angry, afraid and neutral.

As mentioned, the environment metadata relates to background sounds and is used to determine user surroundings by analyzing background sounds that might include sounds of vehicles, people, animals, machines etc. By analyzing the environment metadata, the technology can determine the kind of surrounding the user is in, and accordingly suggest appropriate content.

Along with the content metadata and the environment metadata, the technology also uses user’s history, music collection and additional inputs from the user like artists or genres for recommending appropriate content.

Based on the inputs received, the technology provides appropriate audio or visual output.

Companies file numerous patent applications in notion of incorporating the patented technologies in near future. However, only few make it to the market. Spotify expressed that the current technology is still in concept stage and requires work and refinement.

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