Techniques for generating contextually-relevant recommendations
AssigneeDisney Enterprises, Inc.
InventorsMichael P. Goslin, Erika Varis Doggett, Anthony M. Accardo, Noel Brandon Vasquez
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AssigneeDisney Enterprises, Inc.
InventorsMichael P. Goslin, Erika Varis Doggett, Anthony M. Accardo, Noel Brandon Vasquez
Estimating the term…
A recommendation engine generates contextually relevant media programs tailored to the specific context of the user. The recommendation engine interfaces with one or more Internet-of-Things (IoT) appliances to determine one or more food items stored within the IoT appliance(s) and/or one or more cooking capabilities associated with the IoT appliance(s). The recommendation engine also gathers profile data that reflects a set of preferences associated with the user. Based on the gathered data, the recommendation engine queries a database of cooking program data associated with various cooking programs. The recommendation engine obtains cooking program data that is contextually relevant to the user and then generates a contextual cooking program that describes how to perform a given recipe. During playback of the contextual cooking program, the recommendation engine can modify the contextual cooking program based on the progress of the user in following the recipe.
A computer-implemented method for generating a media program, the method comprising:
A non-transitory computer-readable medium storing program instructions that, when executed by a processor, cause the processor to generate a media program by performing the steps of:
A system, comprising:
Dependencies are inferred from the claim text.