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31 results about "Global business" patented technology

Petroleum business customization system and method

PendingCN113902147ARealize accumulation and reuseRealize business managementForecastingSpecial data processing applicationsPersonalizationInformatization
The invention discloses a petroleum business customization system and method, which mainly solve the problems of difficulty in professional collaboration, repeated functions, difficulty in business reuse, multiple function selections and the like in the construction of the existing oil field business system. The system comprises a planning and design module, a capability precipitation layering module, a relationship establishment module and a resource correspondence module; and the planning and design module comprises a business coordinate combing system, a coordinate relationship establishment system, a business node analysis system and a resource combing analysis system. The capability precipitation layering module comprises a data middle table, a business middle table, a knowledge middle table and an AI middle table; the resource correspondence module comprises a global business resource knowledge graph, and the resource correspondence module comprises a resource push mode and an intelligent search mode. Through the architecture, accumulation and reuse of resource capabilities are provided for informatization construction projects by taking IT as a core downwards, and personalized resource services are provided for business work by taking user business as a core upwards.
Owner:武汉侏罗纪技术开发有限公司

User behavior analysis method combined with big data and information processing server

The invention discloses an user behavior analysis method combined with big data and an information processing server. The user behavior analysis method comprises steps: determining the global content information of second user behavior interaction information based on the business interaction strategy of the business service interaction content recorded by each group of user behavior interaction information; and based on the global content information, obtaining the interaction integrity of the global business service interaction content recorded by the second user behavior interaction information, and when the global content information meets a second target condition, performing user behavior analysis only based on the first user behavior interaction information. The quantity of user behavior interaction information participating in user behavior analysis is reduced, and the time consumption of information analysis is reduced; and user behavior analysis is carried out based on the global content information, so that the problems of inaccurate identification and low credibility caused by directly deleting the second user behavior interaction information are avoided, and the user behavior analysis efficiency is improved on the premise of ensuring the accuracy of user behavior analysis.
Owner:广州智云尚大数据科技有限公司

Business process guided self-learning optimization algorithm

The invention provides a business process guided self-learning optimization algorithm, which specifically comprises the following steps of: firstly, organizing and self-adapting an algorithm based ona mining mode according to a similarity process category division algorithm driven by comprehensive knowledge and a classification business operation mode of joint learning; and solving the self-adaption problem of each business process on the basis of the mining mode; secondly, based on a global business process intelligent guiding algorithm of operation graph and data aggregation, according to an operation graph and data aggregation algorithm of a common coupling neural network, a business process intelligent guiding algorithm of complex graph structure shortest path optimization and a centrality algorithm of a hierarchical network constructed by a graph network; and finally, completing flow self-learning optimization based on full-link multi-dimensional data composite guidance through guide environment construction processing based on intelligent edges and background large-center full-link multi-dimensional data and in combination with deep reinforcement learning. The algorithm canshield unnecessary business fields and realize point-to-point business guidance by taking the task as a destination.
Owner:NO 15 INST OF CHINA ELECTRONICS TECH GRP
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