Real-time data source and configuration identification for geospatial collaboration environments
Abstract:
Systems and methods are provided for generating, in real-time, recommendations for different data elements for different virtual three-dimensional environments. As users interact with data elements presented within these virtual three-dimensional environments, these interactions and changes are processed using a machine learning algorithm in real-time to provide recommendations for new data elements that can be introduced in these virtual three-dimensional environments. Based on responses to these recommendations, the new data elements can be introduced in these virtual three-dimensional environments. Further, the machine learning algorithm is dynamically updated based on these responses.
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