Work

Design and Implementation of an Electronic Journal Resource Recommendation System Integrating User Profile and Knowledge Graph

Year: 2024

Type: article

Abstract: In order to facilitate users to find the literature they need in a massive number of electronic journals, this article designs and implements a recommendation system based on the fusion of user profile and knowledge graph recommendation model. The system extracts feature from users downloaded electronic journal resources, and combines the knowledge graph of electronic journal resources to construct a recommendation model that effectively alleviates the problem of data sparsity and enhances the recommendation effect. System testing shows that the system has implemented the functions of each module and can provide personalized recommendations to users.

Source: Frontiers in Computing and Intelligent Systems

DOI: 10.54097/xk7e3m20

Authors: Xiaoling Li, Guoqiang Hu

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404827412

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