Abstract: System and methods are disclosed herein for creating interaction path records using time thresholds between interaction paths. The system retrieves the time threshold and a plurality of user interaction records that each include a timestamp. The system sorts the plurality of user interaction records based on the timestamp. The system then identifies the path-start record as being separated from a prior interaction by an amount of time that exceeds the time threshold. The system identifies the path-end record as being separated from a subsequent interaction by an amount of time that exceeds the time threshold. The system creates an interaction path record, stores that records, and generates a summary with information about the path.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: System and methods are disclosed herein for creating interaction path records using time thresholds between interaction paths. The system retrieves the time threshold and a plurality of user interaction records that each include a timestamp. The system sorts the plurality of user interaction records based on the timestamp. The system then identifies the path-start record as being separated from a prior interaction by an amount of time that exceeds the time threshold. The system identifies the path-end record as being separated from a subsequent interaction by an amount of time that exceeds the time threshold. The system creates an interaction path record, stores that records, and generates a summary with information about the path.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: Systems and methods are described herein for curating content that follows a narrative structure. A narrative structure comprises narrative portions that have a defined order. Signature analysis of known content that follows the narrative structure is used to train machine learning models for the narrative structure and the narrative portions that make up the narrative structure. Signature analysis of candidate content segments, along with machine learning models for the narrative portions, are used to identify candidate content segments that match the respective narrative portions. A candidate playlist is generated of the identified candidate content segments in the defined order. In one embodiment, the machine learning model for the narrative structure is used to validate the generated playlist.

Abstract: Systems and methods are described herein for curating content that follows a narrative structure. A narrative structure comprises narrative portions that have a defined order. Signature analysis of known content that follows the narrative structure is used to train machine learning models for the narrative structure and the narrative portions that make up the narrative structure. Signature analysis of candidate content segments, along with machine learning models for the narrative portions, are used to identify candidate content segments that match the respective narrative portions. A candidate playlist is generated of the identified candidate content segments in the defined order. In one embodiment, the machine learning model for the narrative structure is used to validate the generated playlist.

Abstract: Systems and methods are described herein for curating content that follows a narrative structure. A narrative structure comprises narrative portions that have a defined order. Signature analysis of known content that follows the narrative structure is used to train machine learning models for the narrative structure and the narrative portions that make up the narrative structure. Signature analysis of candidate content segments, along with machine learning models for the narrative portions, are used to identify candidate content segments that match the respective narrative portions. A candidate playlist is generated of the identified candidate content segments in the defined order. In one embodiment, the machine learning model for the narrative structure is used to validate the generated playlist.

Abstract: System and methods are disclosed herein for creating interaction path records using time thresholds between interaction paths. The system retrieves the time threshold and a plurality of user interaction records that each include a timestamp. The system sorts the plurality of user interaction records based on the timestamp. The system then identifies the path-start record as being separated from a prior interaction by an amount of time that exceeds the time threshold. The system identifies the path-end record as being separated from a subsequent interaction by an amount of time that exceeds the time threshold. The system creates an interaction path record, stores that records, and generates a summary with information about the path.

Abstract: Systems and methods are described herein for curating content that follows a narrative structure. A narrative structure comprises narrative portions that have a defined order. Signature analysis of known content that follows the narrative structure is used to train machine learning models for the narrative structure and the narrative portions that make up the narrative structure. Signature analysis of candidate content segments, along with machine learning models for the narrative portions, are used to identify candidate content segments that match the respective narrative portions. A candidate playlist is generated of the identified candidate content segments in the defined order. In one embodiment, the machine learning model for the narrative structure is used to validate the generated playlist.

Abstract: Systems and methods are described herein for curating content that follows a narrative structure. A narrative structure comprises narrative portions that have a defined order. Signature analysis of known content that follows the narrative structure is used to train machine learning models for the narrative structure and the narrative portions that make up the narrative structure. Signature analysis of candidate content segments, along with machine learning models for the narrative portions, are used to identify candidate content segments that match the respective narrative portions. A candidate playlist is generated of the identified candidate content segments in the defined order. In one embodiment, the machine learning model for the narrative structure is used to validate the generated playlist.

Abstract: System and methods are disclosed herein for creating interaction path records using time thresholds between interaction paths. The system retrieves the time threshold and a plurality of user interaction records that each include a timestamp. The system sorts the plurality of user interaction records based on the timestamp. The system then identifies the path-start record as being separated from a prior interaction by an amount of time that exceeds the time threshold. The system identifies the path-end record as being separated from a subsequent interaction by an amount of time that exceeds the time threshold. The system creates an interaction path record, stores that records, and generates a summary with information about the path.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Abstract: An analytics platform configured to create clusters of media content consumers and to automatically generate human-readable, text labels that describe each of the created clusters is disclosed. An analytics platform may use any of a number of clustering algorithms to group a population of media content consumers into a set of user clusters based on viewing history data, user profile data, and/or any other data associated with the consumers. Furthermore, the analytics platform may be configured to create, based on the viewing history data and/or other data associated with a selected sample of users from each cluster, a text label for each cluster. For example, if viewing history data for a population of users includes channel and genre identifiers associated with media content items accessed by users of the population, a generated text label may provide an indication of channels and/or genres popular with users of each particular cluster.

Abstract: An analytics platform configured to create clusters of media content consumers and to automatically generate human-readable, text labels that describe each of the created clusters is disclosed. An analytics platform may use any of a number of clustering algorithms to group a population of media content consumers into a set of user clusters based on viewing history data, user profile data, and/or any other data associated with the consumers. Furthermore, the analytics platform may be configured to create, based on the viewing history data and/or other data associated with a selected sample of users from each cluster, a text label for each cluster. For example, if viewing history data for a population of users includes channel and genre identifiers associated with media content items accessed by users of the population, a generated text label may provide an indication of channels and/or genres popular with users of each particular cluster.

Abstract: System and methods are disclosed herein for creating interaction path records using time thresholds between interaction paths. The system retrieves the time threshold and a plurality of user interaction records that each include a timestamp. The system sorts the plurality of user interaction records based on the timestamp. The system then identifies the path-start record as being separated from a prior interaction by an amount of time that exceeds the time threshold. The system identifies the path-end record as being separated from a subsequent interaction by an amount of time that exceeds the time threshold. The system creates an interaction path record, stores that records, and generates a summary with information about the path.