3 results about "Concept network" patented technology

The invention relates to the technical field of financial intelligent customer service, and discloses a financial institution customer service full-process digital system based on semantic understanding. According to the system, an original request of a client is accessed through an interaction port, and a deep semantic kernel and interaction environment information are obtained through multi-level analysis. And the semantic mapping module associates the deep semantic kernel to the financial institution ontology concept network to generate a structured business intention framework. And the system synchronously calls a three-dimensional historical file of the customer, and in a context fusion layer, space-time alignment and logic stitching are carried out on the intention framework, the environment information and the historical file to generate an enhanced customer intention portrait with a multi-dimensional association tag. According to the method, deep semantic understanding and panoramic intention construction of complex and implicit appeals of customers are realized, so that core support is provided for accurate and personalized intelligent service response of the whole process.

The application provides a user portrait generation method and device and electronic equipment. The method comprises: obtaining user data of a target user, wherein the user data comprises structured user data and unstructured user data; performing data recognition processing on the user data based on a concept network and a preset topic model to determine label information of the target user and probability information corresponding to the label information, wherein the probability information is used to represent the credibility of the corresponding label information; and generating a user portrait of the target user according to the label information and the probability information corresponding to the label information. In this process, the concept network knowledge graph is introduced, the concept network is introduced into the data feature recognition process, and the user portrait construction accuracy is improved. The unstructured user data is introduced into the construction of the user portrait, the user data is enriched, and the user portrait construction accuracy is improved.

The invention relates to the technical field of digital education resource automatic generation, and discloses a digital teaching video courseware automatic generation method. The method comprises the steps that teaching material logic is analyzed to construct a concept network, semantic vectors are marked for key nodes, and according to the semantic vectors, multimedia materials are accurately matched to form standardized content primitives; and constructing a dynamic content topology based on a network structure and primitive semantics, planning a content generation path and calculating a node expected state. In the process of driving the primitives to be assembled in a serialized mode along the path, state deviation is monitored in real time, a track is dynamically optimized and generated, and finally, courseware is output after assembly products are subjected to coherence stitching and rendering. According to the method, the logic fluency of content evolution is ensured through dynamic path planning and real-time optimization, and meanwhile, the matching precision of materials and teaching concepts is improved by utilizing semantic vector matching, so that the self-adaption and intelligence of the courseware generation process are realized, and the quality of the generated courseware and the teaching effect are improved.