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Techniques for creating and utilizing multidimensional embedding spaces

Abstract:

Various embodiments are generally directed to techniques for creating and utilizing multidimensional embedding spaces for data objects, such as to condition the data for input to a neural network, for instance. Some embodiments are particularly directed to converting semi-structured data, such as a set of data objects, into object vector sets mapped to a multidimensional embedding space. In many embodiments, an embedding space for a set of data objects may be customized with a set of dimensions that correspond to various characteristics of the set of data objects. These and other embodiments are described and claimed.