Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning

Xiao Han, Chen Zhu, Xiao Hu +3

Job recommender systems are crucial for aligning job opportunities with job-seekers in online job-seeking. However, users tend to adjust their job preferences to secure employment…