Performance Evaluation of Embedding-Based and Keyword-Based Retrieval in Text Description-Based Hotel Recommendation
It is suggested that embedding-based retrieval is more effective in capturing semantic information, including synonym usage and implicit contextual relationships, within the evaluated dataset, and compact embedding models such as MiniLM may provide an alternative approach to traditional keyword-based retrieval methods for small-scale recommendation systems.