{
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  "@type": "article",
  "@id": "https://anchorfact.org/kb/recommender-systems",
  "headline": "Recommender Systems: Graph Neural Collaborative Filtering and LLM-Based Recommendation",
  "description": "Recommender systems power the discovery engine of the internet — from Netflix suggestions to Amazon product recommendations and TikTok's For You page. Graph neural networks have become the dominant architecture, while LLMs are opening a new paradigm of generative recommendation where AI creates personalized suggestions from natural conversation.",
  "dateCreated": "2026-05-24T02:49:13.655Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "Collaborative filtering models: an experimental and detailed comparison of neural and graph-based approaches",
      "sameAs": "https://www.nature.com/articles/s41598-025-15096-4"
    },
    {
      "@type": "CreativeWork",
      "name": "FIGNNCF: Feature Integrated Graph Neural Network based Collaborative Filtering for Sequential Recommendation",
      "sameAs": "https://www.sciencedirect.com/science/article/pii/S0925231225026980"
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  ]
}