Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

3 results about "Preference behavior" patented technology

Dynamic evaluation of talent performance and intelligent pushing method of training resources

PendingCN122335114APersonalizationTimestamp
The present application relates to the technical field of enterprise training management and personalized recommendation, in particular, the present application relates to a talent performance dynamic evaluation and training resource intelligent pushing method, the present application collects staff daily task data and active retrieval text and time stamp, adopts the dynamic model of the time decay coefficient of the forgetting curve to calculate the current ability evaluation of each skill, and generates the ability gap label set by comparing with the post benchmark, obtains the intention feature by encoding the semantic of the retrieval text, combines the interactive operation depth to calculate the active inclination intensity index, generates the learning time period preference vector according to the retrieval time period distribution, constitutes the active learning preference behavior fingerprint, matches the candidate resource by the gap label set and determines the content matching degree, weights and fuses the content matching degree, the active inclination intensity index and the time period coincidence degree of the decision time period and the preference vector, obtains the pushing priority evaluation value, reorders the resource after the value, and pushes the resource, realizes the fusion of the ability dynamic evaluation and the learning preference.
Owner:FUJIAN FUXUN TALENT SERVICE CO LTD

Enterprise employee welfare gift bag automatic generation method and system

The invention relates to the technical field of human resource information management, and discloses an enterprise employee welfare gift bag automatic generation method and system, and the method comprises the steps: collecting the multi-source welfare preference behavior data of an employee, and constructing and dynamically updating an employee welfare preference knowledge graph in combination with the family life demand information of the employee; based on the knowledge graph, factors such as employee occupational features and family structures are integrated to generate employee welfare demand portraits; constructing a welfare strategy decision engine, integrating enterprise budget, supply chain state, market price and employee satisfaction information, and generating a globally optimal welfare configuration scheme; and dynamically adjusting a recommendation strategy based on employee selection behaviors and satisfaction feedback through an employee and commodity interaction model comprising preference prediction and commodity recommendation sub-models at key nodes of the employee birthday and the entry commemorative day, and generating a customized welfare gift bag. According to the invention, the welfare configuration is precise, intelligent and personalized, and the employee satisfaction and the enterprise management efficiency are effectively improved.
Owner:BEIJING FRESH PICKING TECHNOLOGY CO LTD