Enhancing Recommender Systems with Semantic User Profiling through Frequent Subgraph Mining on Knowledge Graphs

Enhancing Recommender Systems with Semantic User Profiling through Frequent Subgraph Mining on Knowledge Graphs

Recommender systems play a crucial role in personalizing online user experiences by creating user profiles based on user–item interactions and preferences. Knowledge graphs (KGs) are intricate data structures that encapsulate semantic information, expressing users and items in a meaningful way. Alth...

Full description

Bibliographic Details
Main Authors: Haemin Jung, Heesung Park, Kwangyon Lee
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
frequent subgraph mining
knowledge graph
recommender system
user profiling
Online Access:https://www.mdpi.com/2076-3417/13/18/10041

Internet

https://www.mdpi.com/2076-3417/13/18/10041

Similar Items