An Interpretable CF-RL-TOPSIS Fusion Model for Skills-Aware Talent Recommendation 事件

An Interpretable CF-RL-TOPSIS Fusion Model for Skills-Aware Talent Recommendation arXiv:2605.24155v1 Announce Type: cross Abstract: Effective skills-aware talent recommendation must balance behavioral transition patterns, trajectory-sensitive adaptation, and inspectable occupation-level criteria. Evidence from public benchmarks on how these signals interact, however, remains limited. This study proposes CF-RL-TOPSIS, an interpretable late-fusion model that integrates a transition-aware collabor