Abstract: Disclosed is a system and method for analyzing, by a server computer, closed captioning text associated with a media program being experienced by a user having a client device. The server computer obtains, based on the analyzing, a subject matter of a portion of the media program from the closed captioning text. The server computer constructs a query associated with the determined subject matter and submits the query to a computer network as a search query. The server computer receives, in response to the submitting of the query, content relating to the subject matter and measures an elapsed time period between the receiving of the content and the obtaining of the subject matter. If the elapsed time period is less than a predetermined period of time, the server computer communicates, to the client device, information related to the content.

Abstract: Disclosed is a system and method for analyzing, by a server computer, closed captioning text associated with a media program being experienced by a user having a client device. The server computer obtains, based on the analyzing, a subject matter of a portion of the media program from the closed captioning text. The server computer constructs a query associated with the determined subject matter and submits the query to a computer network as a search query. The server computer receives, in response to the submitting of the query, content relating to the subject matter and measures an elapsed time period between the receiving of the content and the obtaining of the subject matter. If the elapsed time period is less than a predetermined period of time, the server computer communicates, to the client device, information related to the content.

Abstract: Disclosed is a system and method for analyzing, by a server computer, closed captioning text associated with a media program being experienced by a user having a client device. The server computer obtains, based on the analyzing, a subject matter of a portion of the media program from the closed captioning text. The server computer constructs a query associated with the determined subject matter and submits the query to a computer network as a search query. The server computer receives, in response to the submitting of the query, content relating to the subject matter and measures an elapsed time period between the receiving of the content and the obtaining of the subject matter. If the elapsed time period is less than a predetermined period of time, the server computer communicates, to the client device, information related to the content.

Abstract: Disclosed is a system and method for recommending web content to a second screen. A server computer analyzes closed captioning text associated with a media program being experienced in a time period by a user having a client device. In response to the analyzing of the closed captioning text, the server automatically extracts an entity from the closed captioning text and determines an online web page describing the entity. The server utilizes a graph model to retrieve a relevant information item for the entity, where the graph model includes a plurality of entity nodes and a plurality of query nodes. The server communicates, within the time period, the relevant information item to the client device.

Abstract: Disclosed is a system and method for recommending web content to a second screen. A server computer analyzes closed captioning text associated with a media program being experienced in a time period by a user having a client device. In response to the analyzing of the closed captioning text, the server automatically extracts an entity from the closed captioning text and determines an online web page describing the entity. The server utilizes a graph model to retrieve a relevant information item for the entity, where the graph model includes a plurality of entity nodes and a plurality of query nodes. The server communicates, within the time period, the relevant information item to the client device.

Abstract: An advisor flowchart is built, which flowchart comprises a set of nodes and each node is associated with a user attribute selected from a set of user attributes in a user space, the set of attributes comprising information about users, e.g., lifestyles, interests, demographics, etc. and each node is associated with a ranking of products from a product space. The advisor flowchart may be used to make a set of recommendations available to a user, where the set of recommendations comprise one or more top-ranked products associated with the node at which the user is currently positioned. At each node, the associated user attribute is used to formulate a question that may be posed to the user. The user's answer to the question may be used to progress to another node of the advisor flowchart.

Abstract: Disclosed is a system and method for analyzing, by a server computer, closed captioning text associated with a media program being experienced by a user having a client device. The server computer obtains, based on the analyzing, a subject matter of a portion of the media program from the closed captioning text. The server computer constructs a query associated with the determined subject matter and submits the query to a computer network as a search query. The server computer receives, in response to the submitting of the query, content relating to the subject matter and measures an elapsed time period between the receiving of the content and the obtaining of the subject matter. If the elapsed time period is less than a predetermined period of time, the server computer communicates, to the client device, information related to the content.

Abstract: A matching between content items and consumers is discloses. More particularly, items and consumers are matched using a matching approach that uses capacity constraints associated with each consumer, capacity constraints associated with each item, and relationship weights, each relationship weight representing a similarity between a consumer and an item. Edges representing the relationships between consumers and items can be selected using an iterative selection that includes a matching approach that permits capacity constraints. Alternatively, edges can be selected using an iterative approach that allows a solution to be identified prior to completion of the selection processing.

Abstract: A matching between content items and consumers is discloses. More particularly, items and consumers are matched using a matching approach that uses capacity constraints associated with each consumer, capacity constraints associated with each item, and relationship weights, each relationship weight representing a similarity between a consumer and an item. Edges representing the relationships between consumers and items can be selected using an iterative selection that includes a matching approach that permits capacity constraints. Alternatively, edges can be selected using an iterative approach that allows a solution to be identified prior to completion of the selection processing.