Research on Intelligent Cognitive Guidance System Based on Decision Tree Algorithm and Its Procurement Optimization Strategy

With the influx of a large number of users and merchants into e-commerce platforms, the recommendation systems in these platforms often recommend tea as a regular commodity, leading to a lack of quality purchasing experience for users during the online shopping process. In this regard, a knowledge graph-based intelligent cognitive recommendation system (FR-KG) is proposed, which constructs an intelligent recommendation model for tea products based on the knowledge graph to achieve effective promotion of tea products. Experimental results show that the system has good accuracy and recommendation effectiveness, which can assist in tea product selection.