Leveraging RAG With Transformer for Context-Based Personalized Recommendations

Leveraging RAG With Transformer for Context-Based Personalized Recommendations

Recent advancements in large language models (LLMs) have shown significant progress in addressing challenges related to data sparsity and the cold-start problem. In e-commerce, recommendation systems are widely used as strategic tools to boost sales and enhance the customer experience by helping use...

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Bibliographic Details
Main Authors: Faten S. Alamri, Amjad Rehman, Bayan Alghofaily, Adeel Ahmed, Khalid Saleem
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Recommender systems
transformer model
large language model
e-commerce
ranking
context
Online Access:https://ieeexplore.ieee.org/document/11016029/
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https://ieeexplore.ieee.org/document/11016029/

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