Oracle‘s patent involves a method for similarity analysis tasks using sets of entities. The method includes identifying sets as operands, generating new sets based on set operations, and storing the results for subsequent iterations. The patent aims to improve the efficiency of similarity analysis tasks. GlobalData’s report on Oracle gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Oracle, Hybrid cloud mgmt was a key innovation area identified from patents. Oracle's grant share as of February 2024 was 77%. Grant share is based on the ratio of number of grants to total number of patents.
Similarity analysis task iteration method for plurality of entities
A recently granted patent (Publication Number: US11921687B2) discloses a method and system for performing a similarity analysis task with respect to a plurality of entities using one or more computing devices. The method involves conducting multiple iterations of the analysis task, where each iteration includes identifying sets of entities, performing set operations, generating new arrays based on the operations, and storing the results for subsequent iterations. The system comprises computing devices with instructions to execute the similarity analysis task, identify sets, perform set operations, generate new arrays, and transmit the output after meeting termination criteria. The patent also covers non-transitory computer-accessible storage media storing program instructions to implement the similarity analysis task, set operations, and storage of results.
Furthermore, the patent includes specific claims related to the type of set operations, calculation of similarity scores, criteria for determining set operations, and storage of hash information arrays and contributor count arrays. The method and system described in the patent are designed to efficiently analyze similarities between entities without the need for applying hash functions directly to the sets. The system is versatile and can be applied to various tasks such as classification, co-reference resolution, nearest neighbor search, and generating similarity matrices for support vector machines. Overall, the patent provides a detailed framework for conducting similarity analysis tasks using minimum hash information arrays and contributor count arrays, enhancing the efficiency and accuracy of entity comparisons in computing systems.
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