A Reinforcement Learning-Based Framework for Personalized Career Recommendations Among College Students
HRA-TS provides an effective and practical solution for personalized career recommendation in dynamic and privacy-sensitive environments and employs a hybrid long short-term memory–graph attention network encoder to jointly capture users’ evolving behavioral evolution and stable personal attributes.