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