Leveraging LLM for Recommender Systems and Personalized Marketing
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Traditional recommender systems rely on collaborative filtering and matrix factorization to surface items. These methods work well for dense interaction data, but they struggle with cold-start items, sparse user histories, and the rich unstructured metadata that drives modern catalogs. Large langua…
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- 2026-08-24 05:32 · DEV Community — AI
Leveraging LLM for Recommender Systems and Personalized Marketing