Semantic demand analysis for academic library acquisition decisions
Academic library acquisitions based on historical circulation systematically fail to anticipate demand in rapidly evolving domains. This study presents a semantic demand analysis framework that integrates large-language-model-derived text embeddings with borrowing-behavior data to reduce supply–demand misalignment, whe...