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Using LLM for Recommender Systems and Personalized Marketing

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

Traditional recommender systems rely on collaborative filtering and embedding spaces that struggle with cold-start users, sparse behavioral signals, and cross-domain reasoning. Large language models offer an alternative. By encoding user history, item metadata, and contextual cues into natural lang…

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  1. 2026-09-02 23:33 · DEV Community — AI
    Using LLM for Recommender Systems and Personalized Marketing

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