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Graph-Community-Enabled Personalized Course-Job Recommendations with Cross-Domain Data Integration
2022
Sustainability
With millions of students/employees browsing course information and job postings every day, the need for accurate, effective, meaningful, and transparent course and job recommender systems is more evident than ever. The current recommendation research has attracted wide attention in the academic and industrial areas. However, existing studies primarily focus on content analysis and user feature extraction of courses or jobs and fail to investigate the problem of cross-domain data integration
doi:10.3390/su14127439
fatcat:oyve6kay25bepok7b2mrawfxwq