indj co.
MusicStartupImmersive Content
We will analyze the emotion of the music itself of indie music that is difficult to be known in the existing platform recommendation method so that it can be provided to users. In the end, we'll let you listen to the music you really want. In the future, we aim to become the world's top IoT OS company by providing IoT services based on analysis results such as user preferences and situational patterns.
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Business Description
Music platform (APP) to recommend your favorite music based on user situation
1.Use the user's context information collected through various sensor information (Context Awareness) of the proposed smartphone to figure out the user's current situation by inferring music, broadcasting, channel, etc.
For example, GPS sensor information collected with the user's consent is used to determine the main travel location (home, office, etc.), weather, travel speed (exercise, driving, etc.), season, presence. Exceptional circumstances. Analyze the situation. This infers the situational awareness value to provide contextual music.
3. Existing music recommendation is a content-based recommendation system that analyzes music trends, recommends collaborative filtering, or analyzes music emotions by applying the 3D recommendation system using the world's first music, user's emotions and situational information. provide. that is. Provides a recommended system based on the plane (x, y) axis
1.Use the user's context information collected through various sensor information (Context Awareness) of the proposed smartphone to figure out the user's current situation by inferring music, broadcasting, channel, etc.
For example, GPS sensor information collected with the user's consent is used to determine the main travel location (home, office, etc.), weather, travel speed (exercise, driving, etc.), season, presence. Exceptional circumstances. Analyze the situation. This infers the situational awareness value to provide contextual music.
3. Existing music recommendation is a content-based recommendation system that analyzes music trends, recommends collaborative filtering, or analyzes music emotions by applying the 3D recommendation system using the world's first music, user's emotions and situational information. provide. that is. Provides a recommended system based on the plane (x, y) axis
