Intent-aware knowledge graph-based model for electrical power material recommendation.

ABSTRACT: In the field of electrical power material management, it is paramount that users receive accurate recommendations regarding the electrical power materials they require. Recently, a growing number of studies have been dedicated to graph neural network (GNN)-based recommendation systems due to their ability to seamlessly combine node information with topological structure, enhancing the effectiveness of recommendations. However, a notable drawback of current GNN-based recommendation is their inability to explicitly capture users' intent in recommendations, which limits the performance. In fact, users' intent is crucial in determining their actions. One example is when users first form an intent to buy a particular set of items and then choose a specific item from the set based on their prefe

SUBMITTER: Zhao L 

PROVIDER: S-EPMC12453814 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature