Abstract: A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.

Abstract: A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.

Abstract: A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.

Abstract: A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.

Abstract: A method for generating a visual profile is provided. User-specific data is extracted from various data repositories. The data is presented to the user for selection for inclusion in a visual profile. A visual profile is generated using the data selected by the user by manipulating the data in a visual manner and/or generating visual depictions of the data using a database of multimedia content items. Visual profiles may be displayed and/or searched.