Patent ID: 10747803

Abstract:
A method, a device, and a non-transitory storage medium are described in which a personalized content recommendation system determines a content-offering value (COV) for each title of content identified in a content catalog, wherein the COVs indicate terms of offerings to a user for consuming each title of content; calculate, for each title of content, a content-relevance value (CRV), wherein the CRV indicates respective relevancies of each title of content to the user; calculate, for each title of content, a cost-content sensitivity index (CCSI) value indicative of the user's relative cost and content sensitivities, wherein the CCSI value is calculated for a time-of-day parameter or a content-genre parameter for consuming each title of content; calculate, for each title of content, a cost-content tradeoff score (CCTS) based on the COV, CRV, and CCSI value; and identify k number of titles of content having the highest CCTS.