The Future of Personalized Entertainment
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06 we at gracenote
08 our metadata
We analyze music activity to identify key interests such as genres, moods, artists and eras.
We analyze music activity to identify key interests such as genres, moods, artists and eras.
16 tv usecases
26 auto usecases
We analyze music activity to identify key interests such as genres, moods, artists and eras.
We analyze music activity to identify key interests such as genres, moods, artists and eras.
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10 EG story
14 usecases
We analyze music activity to identify key interests such as genres, moods, artists and eras.
We analyze music activity to identify key interests such as genres, moods, artists and eras.
34 wearable usecases
40 mobile usecases
We analyze music activity to identify key interests such as genres, moods, artists and eras.
We analyze music activity to identify key interests such as genres, moods, artists and eras.
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We love connecting people with entertainment. That’s why we created the Gracenote Profile. Gracenote Profiles transform media discovery from the inside out. They describe our entertainment interests by analyzing the common traits of the music, TV, and movies we consume.
Gracenote Profiles transform media discovery from the inside out. They describe our entertainment interests by analyzing the common traits of the music, TV, and movies we consume. Let’s get started.
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dramatic fiery upbeat energizing powerful
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our metadata takes user profiles to the next level One of the perks of tagging the world’s entertainment is that we have lots of rich descriptive information at our fingertips. We leverage thousands of descriptive elements to assemble multi-faceted media profiles that characterize people’s tastes with a new level granularity. 8
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the gracenote music profile More dimensions for discovery
We analyze music activity to identify key interests such as genres, moods, artists and eras. Algorithms calculate play styles and channels for additional insights into preferences. 10
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The Gracenote Video Profile More watching, less browsing
We analyze video activity to find the genres, moods, actors, directors and eras most interesting to you. Algorithms calculate play styles and channels for additional insights into preferences. 12
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15 use cases enhancing the profling experence
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01 The Personal Program Guide The key to discovery is providing relevant options the moment the TV is turned on. Gracenote Video Profiles help surface relevant content by mining viewing history to identify the types of shows, genres, actors, and even storylines the user prefers. Context can be taken into account by understanding viewing patterns across dayparts, day of week, and even time of year. Combining the profile with EPG as well as VOD and OTT catalog data can help build a user experience that automatically brings the best of what’s on TV to the forefront. 16
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02 tv alerts Never miss another show. By adding favorite shows to the Gracenote Video Profile, users can receive alerts anytime those shows, or even ones similar to them, come on. When users receive alerts, they can decide whether to switch over, set the DVR, or bookmark shows for future reference. 18
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03 group tv Stop fighting over the remote and let the TV do the work. Gracenote can assess multiple Video Profiles to suggest the shows and movies most likely of interest to the group. The highly configurable system can look for common interests and next nearest interests to filter out less relevant content. 21
04 family mode Through pattern recognition and data clustering techniques, Gracenote can identify when there might be users with different interests using the TV, even if only a single login is used. For example, when children’s content is frequently played, the system can automatically enable the Family Mode profile, which surfaces family-friendly content matching your interests. 22
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05 Tastematch Discover new shows from people with similar tastes. Gracenote can identify friends and other tastemakers who might share similar preferences. Users can follow their tastes and follow them to uncover new shows they might also enjoy. 25
06 Music Channels Create compelling personalized playlists. Leverage Gracenote Music Profiles to build playlists that reflect a user’s favorite genres, moods, eras, and artist types. 26
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07 radio Recommendations Scan no more. Gracenote can profile local radio stations to find the ones that match user interests, wherever he or she might be. 29
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m83 modest mouse arcade fire
08 auto group mode Road trips will never be the same. Merge multiple Gracenote Music Profiles to automatically recommend songs, artists, channels and stations that best fit everyone’s tastes. 31
09 family mode Trigger family mode to display music choices that not only fit passenger tastes but are kid-friendly too. 32
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loves running skrillex dubstep high energy
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10 activity alerts Combine accelerometer and biometric data with Gracenote Music Profiles to tee up mood-based playlists perfect to pump you up – or cool you down. 35
skrillex dubstep high energy
11 concert alerts Don’t miss another show. Use Gracenote Music Profiles, location data, and tour schedules to notify users when their favorite acts are coming to town. 36
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12 movie alerts Make it a movie night. Use Gracenote Video Profiles, location data and theatrical release schedules to keep users in the loop when movies they might like are playing. 39
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skrillex dubstep
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kevin
phoenix bastile grouplove
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The Future of Personalized Entertainment