Abstract: A system includes a memory and at least one processor to transmit information associated with a plurality of talents to a client computing device, receive a selection of at least one talent of the plurality of talents from the client computing device associated with a user profile, determine a list of shows featuring the at least one talent, each show in the list of shows having a rating greater than or equal to a particular threshold, transmit the list of shows featuring the at least one talent to the client computing device, receive feedback for each show of the list of shows from the client computing device, and transmit a list of recommended shows available from subscribed media providers to the client computing device based on the feedback.

Abstract: A method for providing a user interface for multivariate searching is provided. The method comprises displaying, by a computing device, the user interface having an input portion and a search type selection portion which may have two or more search type objects. Each object corresponds to a different type of search to be performed, which may be represented by an icon indicating the type of search to be performed. The method further comprises: receiving, by the computing device, a first input string in the input portion and a first selection of one of the two or more search type objects; associating a first search type on the first input string based on the first selection of one of the search type objects; and displaying the first search type and the first input string on the user interface.

Abstract: A method for conducting a cognitive search is provided. The method comprises: receiving, at a server, a search profile comprising embedded data characteristics, sending a search request, using a processor, to a database of search engines, selecting a defined subset of search engines from the database based on the search profile, requesting the defined subset of search engines to conduct a real-time searching based on the search profile, requesting real-time searching progress data from the defined subset of search engines, collecting real-time searching progress data from the defined subset of search engines, and choose at least one optimally-selected search engine based on the real-time searching progress data from the defined subset of search engines.