Knowledge Graph-Based Sequence Recommendation
Yu‐Juan Zhang, Jing Li Zhou, Weiguo Lin · 2021
In existing recommendation, most entities have strong relationship constraints. Therefore, designing a personalized recommendation for users has become a key research direction in the field of recommendation. Based on the diversified scheme of skincare products as the research background, we focused on the relative order of recommended items, and demonstrate the general application scheme of knowledge graph in the field of sequence recommendation. In view of the reasoning ability and interpretability of the knowledge graph, combined with the constraint relationship which is existing in the graph, we designed a sequence recommendation algorithm in the field of skincare products. We also verified the results and conducted feasibility analysis.