4results about How to "Realize intelligent recommendation" patented technology

The invention discloses a consumer automatic locking method based on automobile 4S store intelligent sales. The consumer automatic locking method comprises the steps that a 4S store controller is combined with a face camera and a face recognition and proofreading module to carry out face collection and locking on a consumer; an entrance guard worker terminal builds and supplements consumer files entering the 4S store; consumption data are supplemented and shared on a consumer terminal by a consumer; the stay area of the consumer in the 4S store is monitored by adopting an area identification module and an area monitoring camera; and the server is used for formulating consumer purchase track information. The method has the advantages that through the steps, the identity of the consumer is automatically recognized and locked, the purchase intention of the consumer is quickly known, and intelligent recommendation and automobile sales are achieved.

The application discloses a semiconductor thin film deposition process intelligent recommendation system and method based on a knowledge graph, belongs to the technical field of semiconductor manufacturing processes, and comprises the following: a semiconductor thin film deposition process knowledge graph construction module; a prompt word template generation module: used for receiving process requirements and constraint conditions input by a user, performing semantic analysis on the process requirements and constraint conditions, filling the analysis results into a preset prompt word template, and outputting standardized instructions meeting the calling requirements of a large language model; and a large language model reasoning module: used for receiving the standardized instructions, performing semantic retrieval and logical reasoning on the standardized instructions within the constraint range of the semiconductor thin film deposition process knowledge graph, generating a plurality of candidate thin film deposition process schemes meeting process constraint conditions based on entity relationships and causal associations in the semiconductor thin film deposition process knowledge graph; and the application constructs a complete process recommendation solution and exhibits significant advantages in multiple aspects.

This invention relates to the fields of graphics rendering and real-time interactive technology, and particularly to a Canvas-based intelligent seat selection method. This Canvas-based intelligent seat selection method first loads the stadium structure in SVG format, and then pre-renders repeating elements as bitmaps for cache reuse using a Canvas rendering engine. Next, it uses a second-order Bézier curve to fit the arc-shaped area and calculates the seat coordinates based on the curvature of the stands. It employs a Redis Bitmap storage scheme to compress the seat status into a binary bitmap, and uses WebSocket to achieve incremental status synchronization. Based on a collaborative filtering algorithm, it generates seat recommendations combined with user historical behavior. After the user selects a seat, the Bitmap is pushed via WebSocket and updated to the client. This Canvas-based intelligent seat selection method not only innovatively uses a collaborative filtering algorithm to achieve intelligent seat recommendations based on user historical behavior, but also reduces user operation latency, reduces server load, and solves the lag problem of traditional seat selection systems when rendering seating charts in large sports stadiums.

This invention provides a medical device supply chain recommendation method and system based on a large language model, belonging to the field of model-assisted technology. The method includes acquiring demand descriptions and converting them into structured vectors, constructing a domain knowledge graph to perform multi-hop reasoning to identify collaborative paths, generating adversarial disturbance analysis to reconstruct failure modes and the supply chain, establishing a risk propagation graph to identify trigger points and generate hierarchical prevention and control strategies. This method can effectively improve the accuracy of intelligent recommendations for the medical device supply chain, enhance the supply chain's robustness and risk response capabilities.