Abstract: A system is provided that extracts contextual keywords from contextual data of programming media content based on a mapping of the contextual data of the programming media content with stored keywords or event information associated with semantics of the programming media content. A plurality of potential non-programming media items is determined from a plurality of non-programming media items for a plurality of users, based on a match between a sentiment type of each of the plurality of non-programming media items and the extracted contextual keywords. Based on a set of constraints, a schedule for insertion of a potential non-programming media item is generated at a candidate spot in the programming media content at run time.

Abstract: A system is provided for cross-platform proposal creation, optimization, and deal management. The system generates a proposal plan corresponding to a distribution of target audience across a set of delivery platforms based on an adjustment of a request parameter associated with a request. The proposal plan is executed for a first time period in a flight on a first delivery platform from the set of delivery platforms based on a plurality of client-defined requirements corresponding to the request. The proposal plan is optimized for a second time period in the flight by an in-flight re-distribution of the target audience across the set of delivery platforms. Execution of the optimized proposal plan is controlled for the second time period in the flight on the first delivery platform.

Abstract: A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

Abstract: A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.

Abstract: A system is provided that determines reserve inventory units required for each promotional campaign. Based on one of input parameters to meet defined parameters for defined amount of inventory units for one or more specified durations until end of a specified upcoming time-frame, inventory units are allocated from defined amount of inventory units among each inventory utilization type. Incremental value of revenue from each inventory utilization type is optimized and ratings for previously allocated inventory units assigned to a promotion inventory utilization type is increased. Previously allocated inventory units are periodically adjusted and re-distributed among each inventory utilization type based on difference in demand value of an estimated inventory units forecasted for upcoming specified duration and actual value of the inventory units for current duration. Based on remaining inventory units and each inventory utilization type, schedule of a channel is communicated to a user device, via a network.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A media management system that handles a plurality of agreement information and a plurality of promotional campaigns for a specified upcoming time-frame, receives input parameters for each of the plurality of agreement information that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns are determined based on historical data of an amount of inventory units utilized previously under the promotion inventory utilization type for the specified upcoming time-frame. An initial allocation of inventory units for the promotion inventory utilization type is done based on the determined reserve inventory units. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types.

Abstract: A media management system that handles a plurality of deals for a plurality of advertisers and a plurality of promotional campaigns, receives input and/or parameters for each of the plurality of deals that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type, of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns that corresponds to a promotion inventory utilization type of the plurality of inventory utilization types, are determined for a specified upcoming time-frame. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types to meet a plurality of defined parameters for the defined amount of inventory units for one or more specified durations until end of the specified upcoming time-frame.

Abstract: A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.

Abstract: A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with one or more request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to at least a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.

Abstract: A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

Abstract: A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

Abstract: A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

Abstract: A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

Abstract: A hardware media items scheduling and packaging system, which schedules and distributes channels to be viewed on a plurality of consumer devices, extracts contextual data from program-specific information associated with programming media content of a channel received from a distribution source device. A plurality of potential non-programming media items is determined for a plurality of users based on a match between a sentiment type of each of a plurality of non-programming media items and the extracted contextual data. Based on at least the extracted contextual data and the sentiment type of each of the plurality of potential non-programming media items, a plurality of candidate spots in the programming media content is determined. Based on at least a set of constraints and user estimation data associated with the plurality of users, a schedule of non-programming media item(s) is dynamically generated for at least one candidate spot in the programming media content.

Abstract: A cross-platform management system that handles cross-platform management of client requirements receives a request corresponding to a plurality of client-defined requirements to be achieved in a flight. The request for the plurality of client-defined requirements is associated with one or more request parameters. The system generates a proposal plan corresponding to the received request based on adjustment of the one or more request parameters. The proposal plan corresponds to at least a distribution of target audience across a set of delivery platforms. The system executes the generated proposal plan for a first time period in the flight on one or more delivery platforms. The system re-optimizes the generated proposal plan and controls execution of the generated proposal plan for a second time period in the flight by an in-flight re-distribution of the target audience across one or more delivery platforms of the set of delivery platforms.

Abstract: A media management system that handles a plurality of deals for a plurality of advertisers and a plurality of promotional campaigns, receives input and/or parameters for each of the plurality of deals that corresponds to an upfront inventory utilization type and commercial operator break (COB) inventory utilization type, of a plurality of inventory utilization types. Reserve inventory units for each of the plurality of promotional campaigns that corresponds to a promotion inventory utilization type of the plurality of inventory utilization types, are determined for a specified upcoming time-frame. Inventory units from a defined amount of inventory units are dynamically allocated among each inventory utilization types of the plurality of inventory utilization types to meet a plurality of defined parameters for the defined amount of inventory units for one or more specified durations until end of the specified upcoming time-frame.

Abstract: A method and system for scheduling commercial advertisement are described in which a data processing system having the spot scheduler solver may be operable to receive an advertiser's order to place advertisement or commercial spots into one or more commercial television breaks. The order may comprise various constraints and requirements corresponding to the spots. The spots may be assigned to inventory buckets within the commercial breaks based on the constraints and requirements. When a conflict arises, a prioritization scheme may be performed to complete the assignment of spots not assigned and to generate a commercial break schedule. The prioritization scheme may be based on spot arrival lead time or on maximizing the sum of the rates corresponding to the spots. The data processing system may maximize the spread of the spots over the commercial break schedule. The commercial break schedule may be adjusted when additional orders are received.

Abstract: A method and system for scheduling commercial advertisement are described in which a data processing system having the spot scheduler solver may be operable to receive an advertiser's order to pace advertisement or commercial spots into one or more commercial television breaks. The order may comprise various constraints and requirements corresponding to the spots. The spots may be assigned to inventory buckets within the commercial breaks based on the constraints and requirements. When a conflict arises, a prioritization scheme may be performed to complete the assignment of spots not assigned and to generate a commercial break schedule. The prioritization scheme may be based on spot arrival lead time or on maximizing the sum of the rates corresponding to the spots. The data processing system may maximize the spread of the spots over the commercial break schedule. The commercial break schedule may be adjusted when additional orders are received.