AINeutralarXiv – CS AI · 3h ago5/10
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Developing an Intelligent Job Recommendation System Using Semantic Retrieval and Explainable AI Techniques
Researchers developed an intelligent job recommendation system combining TF-IDF lexical matching with Sentence-BERT semantic retrieval to improve job posting searches on recruitment platforms. The hybrid approach achieved strong performance metrics (Precision@10: 0.8032, nDCG@10: 0.9496) using only structured metadata fields, demonstrating that semantic and lexical techniques can effectively complement each other for explainable recommendations.