… (KGs) have proven to be effective for high-quality recommendation, where the … attentive
knowledge graph embedding (HAKG) framework to exploit the KGs for effective recommendation. …

… Personalized Recommendation method, which extends items’ feature representations with
Knowledge Graph … items’ side information from open knowledge graph like DBpedia as items’ …

… information from knowledge graphs, such as … recommended algorithms based on knowledge
graphs fail to utilize rich semantic associations. In this paper, we regard knowledge graphs …

… to its good recommendation effect. In this paper, we researched personalized recommendation
based on knowledge graphs. First of all, we study the knowledge graphs’ construction …

… Satisfaction with personalized recommendation and value of the recommender … personalized
recommendation, and Q4–Q6 for value of the recommender system). Recommendations …

… we construct knowledge graph of user, knowledge graph of clothing and knowledge graph of
… Recall Rate and Precision Rate are used to measure personalized recommendation effect. …

… of KG, graph-based service recommendation becomes … personalized recommendation. In
addition, random walk technique has been popularly applied in graph-based recommendation. …

… From the initial state of the PKG, they are free to use APPs within the coverage of the Common
Knowledge Graph we provide and ask them to report recommendation accuracy scores (…

… personalized recommendation tasks. Among all types of auxiliary information, knowledge
graphs … Many studies prove that incorporating KG into personalized recommendation tasks can …

… Personalized recommendation technology has been widely used in … As the recommendation
algorithm of knowledge graph as … recommendation algorithm based on knowledge graph to …