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 Let your next favorite song find you. Gracenote Discover™ makes it easy for music fans to find the next additions to their music libraries. Discover delivers highly effective artist, album, and song recommendations based on any "seed" artist, album or track that the consumer selects while browsing a music store catalog, or their own personal music collection. |
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THE WORLD'S MOST COMPREHENSIVE MUSIC RECOMMENDATION SOLUTIONThe Only Global Music Recommendation SolutionDiscover can be tailored to meet a music service provider's needs in any combination of markets around the world by leveraging Gracenote's award-winning music recognition technology and vast music information database. Unlike other solutions which can only produce valid recommendations for music released in a particular territory due to limited data coverage, Gracenote Discover can be deployed anywhere on the planet to deliver recommendations incorporating local content that hit the mark every time. Superior Performance Via Multi-Step Recommendation Techniques Most music recommendation systems utilize just a single approach to generate their results, which, due to the unique limitations of each technique, are not scalable with the rapidly growing digital media market or result in poor recommendation quality – and lost sales. Discover's proprietary system for generating recommendations is capable of combining the three most powerful approaches, amplifying the strongest points, while compensating for the gaps, in each of these techniques:
High Reliability / High-Performance Gracenote Discover is deployed within the infrastructure of the music service provider or on-line store customer, minimizing any real-time reliance on an outside service. Additionally, Discover has been architected from the ground up to deliver results extremely efficiently, reducing the delays produced by excessive real-time calculations. A "White-Box" Solution Puts Control in the Customer's Hands Gracenote proprietary data is combined with the customer's catalog data and other input to create customer-specific results producing tunable, targeted recommendations for their own consumer end-users. The customer may integrate their own proprietary user data (e.g., purchase history, play popularity, etc.) to help power recommendations. Additional controls available to the customer include the ability to:
Although Discover will only recommend merchandise available from the customer's available-for-sale catalog, Discover can use essentially any song, album or artist – regardless of its presence in the store catalog - as the starting point or "seed" for a recommendation. Additionally, any song, album or artist in the user's own personal digital music collection can be used as a recommendation starting point by leveraging the full Gracenote Media Database of more than 55 million tracks. The First "360-Degree" Personalized Recommendations Existing recommendation solutions are typically only aware of the consumer's recently listened to or purchased music from the provider's own store or service – when attempting to build a "personalized music taste profile" – often creating a distorted view of the consumer's preferences and resulting in poor recommendations. Discover, on the other hand, can integrate with Gracenote MusicID to recognize and analyze all of the songs in, and played from, a consumer's music library, not just a small subset, enabling a more accurate view of the consumer's preferences and music tastes. Enables Rapid Deployment of Recommendation Services During initial set-up, the customer supplies Gracenote with their merchandise catalog data, along with parameters to establish global and regional sales priorities and other optional data. The depth of the Gracenote Media Database, and pre-linking to all industry standard identifiers, lets Gracenote quickly integrate and optimize the Discover service for each particular music store catalog. Immediate Recommendations for Hot New Releases Because of its multi-technique approach, Gracenote Discover can quickly incorporate and provide recommendations of, and based on, new releases. There is no requirement to build up a sales history database or perform detailed track-level editorial analysis before good-quality recommendations can be delivered. Multi- Platform Solution As a server-based product, Discover offers a solution that can be tailored to deliver recommendations in any type of deployment, including:
For more information please contact GracenoteLicensing@gracenote.com |
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