Abstract:
In one embodiment, a data processing method comprises generating impression estimate data that specifies an estimated total number of impressions of a plurality of non-program media items that are possible during future transmission of a plurality of media programs via a plurality of media channels; based on the impression estimate data, generating campaign data specifying a target number of impressions of a particular non-program media item and specifying one or more particular media channels to receive the particular non-program media item; based on the campaign data, and based upon transmission schedule data that specifies future times of transmission of the plurality of media programs via the plurality of media channels, automatically determining digitally stored promotional schedule data that specifies a plurality of times to transmit the particular non-program media item to achieve the target number of impressions; wherein the method is performed by one or more computing devices.
Abstract:
Computer implemented systems and methods are disclosed for associating records across lists, wherein the lists include a plurality of records and the plurality of records is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise grouping one or more records from a first list into a first group based on fields of the records in the first list, grouping one or more records from a second list into a second group based on fields of the records in the second list, pairing a record from the first group with a record from the second group, assessing each pair of records based on an evaluation of the respective pair according to fields of the pair, and associating records from the first group and records of the second group with an entity based on the assessment.
Abstract:
Computer implemented systems and methods are disclosed for associating records across lists, wherein the lists include a plurality of records and the plurality of records is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise grouping one or more records from a first list into a first group based on fields of the records in the first list, grouping one or more records from a second list into a second group based on fields of the records in the second list, pairing a record from the first group with a record from the second group, assessing each pair of records based on an evaluation of the respective pair according to fields of the pair, and associating records from the first group and records of the second group with an entity based on the assessment.
Abstract:
In one embodiment, a data processing method comprises generating impression estimate data that specifies an estimated total number of impressions of a plurality of non-program media items that are possible during future transmission of a plurality of media programs via a plurality of media channels; based on the impression estimate data, generating campaign data specifying a target number of impressions of a particular non-program media item and specifying one or more particular media channels to receive the particular non-program media item; based on the campaign data, and based upon transmission schedule data that specifies future times of transmission of the plurality of media programs via the plurality of media channels, automatically determining digitally stored promotional schedule data that specifies a plurality of times to transmit the particular non-program media item to achieve the target number of impressions; wherein the method is performed by one or more computing devices.
Abstract:
Computer implemented systems and methods are disclosed for associating records across lists, wherein the lists include a plurality of records and the plurality of records is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise grouping one or more records from a first list into a first group based on fields of the records in the first list, grouping one or more records from a second list into a second group based on fields of the records in the second list, pairing a record from the first group with a record from the second group, assessing each pair of records based on an evaluation of the respective pair according to fields of the pair, and associating records from the first group and records of the second group with an entity based on the assessment.
Abstract:
Computer implemented systems and methods are disclosed for associating records across lists, wherein the lists include a plurality of records and the plurality of records is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise grouping one or more records from a first list into a first group based on fields of the records in the first list, grouping one or more records from a second list into a second group based on fields of the records in the second list, pairing a record from the first group with a record from the second group, assessing each pair of records based on an evaluation of the respective pair according to fields of the pair, and associating records from the first group and records of the second group with an entity based on the assessment.