9 results about "Match method" patented technology

The invention relates to the technical field of power customer service and automatic matching, in particular to an automatic matching method for power customer engineering. Comprising the following steps: screening out candidate service units meeting qualification conditions by using a multi-attribute decision analysis method; based on a content-based recommendation algorithm, extracting features of customer engineering, and recommending electric power engineering service units matched with the features; according to a recommendation algorithm based on matrix decomposition, power customer engineering and power engineering service units are expressed as rows and columns of a two-dimensional matrix respectively, and service units with potential matching are recommended by calculating the incidence relation between matrixes; the recommendation results of the two algorithms are fused, other factors are considered, sorting is carried out, and the final recommendation result is comprehensively generated. According to the design, automatic matching between the customer and the electric power engineering service unit can be realized, the matching success rate is improved, the transaction cost is reduced, and the operation efficiency of the electric power market is improved.

The application relates to the technical field of artificial intelligence, and provides an intelligent insurance matching method and system combining a user portrait and a clause knowledge base. The method comprises the following steps: constructing a first portrait of a user based on a user data set and optimizing a second portrait; constructing a product portrait by multi-dimensionally extracting features from an insurance clause knowledge base; performing demand coverage risk evaluation on the product portrait based on the second portrait of the user, generating a demand coverage risk matrix; performing guarantee conflict risk evaluation, generating a guarantee conflict risk matrix; introducing a risk analysis channel, combining the second portrait of the user to generate a risk matrix; and fusing the three types of risk matrices to perform multi-level optimization matching, generating an insurance optimization matching graph, so as to solve the technical problem that there is a significant deviation between a recommended result and actual risk preference and guarantee demand of a user, realize dynamic and accurate matching of an insurance product and user demand, reduce guarantee conflict risk and improve the relevance of a recommended result, and achieve the technical effect of meeting the demand of personalized insurance configuration.

The invention discloses a method and a system for integrally importing information collection data and automatically matching quota, and relates to the technical field of engineering cost data processing, and the method comprises the following steps: obtaining information collection data and quota data, and carrying out the characterization processing of the information collection data and the quota data, and forming information collection feature information and quota feature information; constructing a matching relationship between the capital collection feature information and the quota feature information, and generating a corresponding matching relationship object; establishing dependency description information for the matching relation object; when the information collection data or the quota data are changed, whether the change affects the existing matching relation or not is judged based on the dependency description information; and when judging that the existing matching relationship is influenced, only executing re-matching processing on the influenced matching relationship object. According to the invention, by introducing a matching dependency description mechanism, accurate management and control of the information collection data and the quota matching relationship are realized, and only necessary rematching processing is triggered when the data is changed, so that the matching accuracy is improved, and the system calculation overhead is reduced.

This invention provides a big data-based intelligent matching method for upstream and downstream enterprises in the chemical industry chain, belonging to the technical field of matching upstream and downstream enterprises in the chemical industry chain. The method includes collecting multi-dimensional feature data of the chemical industry chain; analyzing basic enterprise data using an industry chain attribute matching algorithm; analyzing the dynamic changes in supply and demand relationships with market cycles; constructing a quantitative model of supply and demand impact, analyzing the influence weight of dynamic supply and demand data on initial enterprise matching data; and building an intelligent matching model of the industry chain to evaluate the matching process of upstream and downstream enterprises in real time. By integrating multi-dimensional feature data of enterprises and utilizing industry chain attribute matching algorithms, dynamic supply and demand analysis methods, quantitative supply and demand impact models, and intelligent matching models of the industry chain, this invention achieves accurate matching and dynamic optimization of upstream and downstream enterprises in the chemical industry chain, solving problems such as reliance on manual experience in matching, untimely response to dynamic changes in supply and demand, and insufficient risk management capabilities in existing technologies.

The application provides a government-enterprise matching method and system based on a large model and a storage medium, and the method comprises the following steps: performing character recognition on a policy document to obtain a policy text, inputting the policy text into a pre-trained large model to perform policy splitting and obtain policy content; performing conditional extraction on the policy content according to an extraction prompt word to obtain policy extraction information, obtaining enterprise information to be matched and government-enterprise matching requirements; determining a matching prompt word according to the government-enterprise matching requirements, and controlling the pre-trained large model to perform government-enterprise matching on the enterprise information to be matched and the policy extraction information according to the matching prompt word to obtain a government-enterprise matching result. According to the embodiment of the application, the pre-trained large model can automatically perform government-enterprise matching on the enterprise information to be matched and the policy extraction information, and it is not necessary to perform policy analysis and government-enterprise matching in an artificial manner, so that the government-enterprise matching efficiency is improved.

The application relates to the technical field of data processing, and discloses an industry chain investment targeting matching method and system based on big data analysis, which comprises the following steps: extracting the industry characteristics of each target enterprise data, taking the industry characteristics as a starting point, extending and constructing an industry chain graph based on all target enterprise data, determining the similarity of the to-be-matched industry characteristics and the industry chain graph, determining the matched enterprises based on the similarity and selection orientation, determining the model operation score of the matched enterprises based on a recommendation model, historical operation information and historical enterprise behavior, determining the evaluation operation score of the matched enterprises based on the historical operation information and the historical enterprise behavior, determining the enterprise comprehensive operation score of the matched enterprises according to the relationship between the model operation score and the evaluation operation score, and judging whether the matched enterprises are determined as the targeting matching results according to the enterprise comprehensive operation score. The application ensures the stability and reliability of the targeting matching.

The invention relates to a concrete area productivity collaborative scheduling and resource dynamic matching method, which belongs to the technical field of data processing, and comprises the following steps: S1, setting a matching rule by a platform according to settled data; s2, selecting whether there is a contract according to a user, if there is no contract, determining that the demand is a new demand, and entering the matching process of S3; if the contract exists, not entering the matching process; s3, the platform carries out automatic matching on the user demands according to the matching rule, after matching succeeds, the two transaction parties carry out confirmation according to the matching result, and a subsequent platform transaction process is carried out; s4, when the automatic matching fails or the matching results of the two transaction parties are not consistent, the platform performs manual matching; and S5, the platform regularly adjusts the factors for setting the matching rules according to the settled data, so that the adaptability of the matching rule model is improved. According to the invention, the information isolated island of the concrete industry is broken, and the two demanding parties can quickly complete the transaction by establishing the digital market infrastructure.

This application discloses a method, apparatus, storage medium, and computer equipment for matching reviewers, relating to the field of office automation. This application calculates the capability scores of all reviewers corresponding to the current unit, then calculates the required capability score of the current unit, and finally calculates the matching rate between each reviewer and the current unit. The reviewer with the highest matching rate is selected as the optimal reviewer for the current unit. This method of selecting the optimal reviewer based on the matching between the capability scores of the reviewers in a unit and the required capability score of the current unit reduces the workload of selecting the optimal reviewer for each unit, greatly improving review effectiveness and efficiency.

The invention provides a fault case intelligent matching method and system applied to operation and maintenance technology services, and relates to the field of operation and maintenance technology services, and the method comprises the steps: building a current fault space-time evolution model through collecting related data of chain store intelligent equipment; extracting complete intervention process data of historical fault cases, and encoding to generate an efficiency encoding packet; performing resource effect dynamic balance adaptation to calculate an intervention efficiency matching degree; generating a deduction result report based on intervention efficiency matching degree simulation deduction; and finally, elastically adjusting and testing the cases conforming to the threshold value to generate a target matching fault case set. According to the method, fault spatio-temporal evolution and intervention efficiency are comprehensively considered, fault cases can be accurately matched, and the operation and maintenance efficiency and quality are improved.