Peer-based user evaluation from multiple data sources
Abstract:
A method of user evaluations includes transforming data from different data sources to preserve privacy of the data. The group of similar peers is created based on the data from the different data sources. The group of similar peers is optimized by selecting a combination of transformed data from the different data sources. An evaluation for a user against the group of similar peers is dynamically performed based on evaluation metrics. The evaluation is provided to an electronic device.
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