Abstract: A system and method for automatically identifying an operating procedure for resolving a customer support request includes receiving a customer support request for resolving an issue, encoding the issue into one or more text encoding representations, providing the one or more text encoding representations as a first input to a matching and selection unit, providing operating procedure encodings for a plurality of operating procedures as a second input to the matching and selection unit, comparing, by the matching and selection unit, the one or more text encoding representations to the operating procedure encodings to identify one or more operating procedures for resolving the issue, and providing the one or more operating procedures as recommendations for resolving the issue, wherein at least one of the one or more text encoding representations and the operating procedure encodings are generated by utilizing a geometric progressing natural language processing (NLP) algorithm.

Abstract: Systems and methods are disclosed to implement a distributed matrix decomposition system using gossip. In embodiments, the matrix decomposition system employs a scalable, parallel, and decentralized approach to divide an input matrix into a grid blocks, and individually decompose the blocks into local decomposed matrices by communicating (gossiping) with a limited set of neighboring blocks. In embodiments, the decomposition may be implemented as an iterative process using Stochastic Gradient Descent, where the decomposed matrices are iteratively updated and kept in approximate agreement for neighboring blocks. The division of the input matrix allows the decomposition operation to be easily parallelized among nodes of a distributed computing system and scaled to suit the size of the input matrix. Moreover, the distributed approach eliminates the need for a central server, which in some systems may represent an operational bottle neck, a single point of failure, or a target for attacks.