计算机工程2025，Vol.51Issue(9)：101-109,9.DOI:10.19678/j.issn.1000-3428.0068953
结合前置三元组集的知识图谱推荐
Knowledge Graph Recommendation Based on Previous Triple Set
符家成 1田瑾 1张玉金 1方志军2
作者信息
- 1. 上海工程技术大学电子电气工程学院,上海 201620
- 2. 东华大学计算机科学与技术学院,上海 201620
- 折叠
摘要
Abstract
To fully utilize the relationships between items,current recommendation algorithms introduce knowledge graphs to enrich the features of both items and users.However,most knowledge-graph-based recommendation algorithms often overlook the connection between the current hop triple set,the initial seed,and the previous hop triple set,leading to inaccurate feature representations of users and constructed items.To address these limitations,this study proposes a knowledge graph recommendation model that combines pre-existing triple sets.It generates initial representations of users and items based on heterogeneous propagation strategies and combines the relationship between the current hop triple set,the initial seed,and the previous hop triple set to control the representation of each hop triple set.Consequently,the final representations of users and items are generated,and the probability of interaction between users and items is predicted based on thees final representations.On datasets consisting of books and movies,the proposed model outperforms the current advanced knowledge-graph-based recommendation models in terms of Area Under the Curve(AUC),F1 score,and recall.关键词
知识图谱/推荐系统/异构传播/知识感知/注意力机制Key words
knowledge graph/recommendation system/heterogeneous propagation/knowledge perception/attention mechanism分类
信息技术与安全科学引用本文复制引用
符家成,田瑾,张玉金,方志军..结合前置三元组集的知识图谱推荐[J].计算机工程,2025,51(9):101-109,9.
