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The Semantic Design Space of Retrieval-Augmented Recommender Systems: A Systematic Review of LLM-Based Approaches

  • Computers, materials & continua/Computers, materials & continua (Print)
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Abstract

Large language models (LLMs) are increasingly integrated into recommender systems to support semantic reasoning, natural language understanding, and user-adaptive personalization. However, their reliance on static parametric ... | Find, read and cite all the research you need on Tech Science Press

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Publication details

DOI
10.32604/cmc.2026.079504
OpenAlex
W7155222473
Document type
review
Language
EN
Source
Computers, materials & continua/Computers, materials & continua (Print)
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