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LLMs for Personalized Marketing and Recommender Systems in E-commerce

This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.

Traditional recommender systems in e-commerce rely on collaborative filtering and matrix factorization. These methods struggle with cold-start users, sparse catalogs, and semantic nuance. Large language models offer an alternative: they can reason over unstructured product descriptions, browse hist…

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  1. 2026-08-24 13:34 · DEV Community — AI
    LLMs for Personalized Marketing and Recommender Systems in E-commerce

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