{
  "id": 314559,
  "title": "Non Negative Matrix Factorization for Recommendation systems",
  "url": "/competitions/h-and-m-personalized-fashion-recommendations/discussion/314559",
  "author_name": "",
  "post_date": "2022-03-23T08:28:15.020640100Z",
  "votes": 16,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Non Negative Matrix is an unsupervised learning technique which can be used in recommendation systems. It is a dimensionality reduction technique. Take a look at my detailed article below to know more about NMF - <br>\n<a href=\"https://medium.com/codex/what-is-non-negative-matrix-factorization-nmf-32663fb4d65\" target=\"_blank\">https://medium.com/codex/what-is-non-negative-matrix-factorization-nmf-32663fb4d65</a></p>\n<p>Some more useful articles on recommendation systems using NMF - <br>\n<a href=\"https://medium.com/logicai/non-negative-matrix-factorization-for-recommendation-systems-985ca8d5c16c\" target=\"_blank\">https://medium.com/logicai/non-negative-matrix-factorization-for-recommendation-systems-985ca8d5c16c</a></p>\n<p><a href=\"https://towardsdatascience.com/matrix-factorization-in-recommender-systems-3d3a18009881\" target=\"_blank\">https://towardsdatascience.com/matrix-factorization-in-recommender-systems-3d3a18009881</a></p>\n<p><a href=\"https://www.linkedin.com/pulse/fundamental-matrix-factorization-recommender-system-saurav-kumar/?trk=public_profile_article_view\" target=\"_blank\">https://www.linkedin.com/pulse/fundamental-matrix-factorization-recommender-system-saurav-kumar/?trk=public_profile_article_view</a></p>",
  "messages": [
    {
      "id": "1732316",
      "postDate": "03/23/2022 08:28:15",
      "content": "<p>Non Negative Matrix is an unsupervised learning technique which can be used in recommendation systems. It is a dimensionality reduction technique. Take a look at my detailed article below to know more about NMF - <br>\n<a href=\"https://medium.com/codex/what-is-non-negative-matrix-factorization-nmf-32663fb4d65\" target=\"_blank\">https://medium.com/codex/what-is-non-negative-matrix-factorization-nmf-32663fb4d65</a></p>\n<p>Some more useful articles on recommendation systems using NMF - <br>\n<a href=\"https://medium.com/logicai/non-negative-matrix-factorization-for-recommendation-systems-985ca8d5c16c\" target=\"_blank\">https://medium.com/logicai/non-negative-matrix-factorization-for-recommendation-systems-985ca8d5c16c</a></p>\n<p><a href=\"https://towardsdatascience.com/matrix-factorization-in-recommender-systems-3d3a18009881\" target=\"_blank\">https://towardsdatascience.com/matrix-factorization-in-recommender-systems-3d3a18009881</a></p>\n<p><a href=\"https://www.linkedin.com/pulse/fundamental-matrix-factorization-recommender-system-saurav-kumar/?trk=public_profile_article_view\" target=\"_blank\">https://www.linkedin.com/pulse/fundamental-matrix-factorization-recommender-system-saurav-kumar/?trk=public_profile_article_view</a></p>",
      "rawMarkdown": "Non Negative Matrix is an unsupervised learning technique which can be used in recommendation systems. It is a dimensionality reduction technique. Take a look at my detailed article below to know more about NMF - \nhttps://medium.com/codex/what-is-non-negative-matrix-factorization-nmf-32663fb4d65\n\nSome more useful articles on recommendation systems using NMF - \nhttps://medium.com/logicai/non-negative-matrix-factorization-for-recommendation-systems-985ca8d5c16c\n\nhttps://towardsdatascience.com/matrix-factorization-in-recommender-systems-3d3a18009881\n\nhttps://www.linkedin.com/pulse/fundamental-matrix-factorization-recommender-system-saurav-kumar/?trk=public_profile_article_view",
      "votes": null
    },
    {
      "id": "1733230",
      "postDate": "03/24/2022 05:14:57",
      "content": "<p>Helpful collection</p>",
      "rawMarkdown": "Helpful collection",
      "votes": null
    },
    {
      "id": "1737542",
      "postDate": "03/28/2022 14:11:45",
      "content": "<p>Its useful information</p>",
      "rawMarkdown": "Its useful information",
      "votes": null
    },
    {
      "id": "1738053",
      "postDate": "03/29/2022 01:25:31",
      "content": "<p>i need your help</p>",
      "rawMarkdown": "i need your help",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1733230,
      "author_name": "alanhabrony",
      "author_url": "",
      "post_date": "03/24/2022 05:14:57",
      "content": "<p>Helpful collection</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1737542,
      "author_name": "deepkun1995",
      "author_url": "",
      "post_date": "03/28/2022 14:11:45",
      "content": "<p>Its useful information</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1738053,
      "author_name": "coolingshooter",
      "author_url": "",
      "post_date": "03/29/2022 01:25:31",
      "content": "<p>i need your help</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1732316": "Non Negative Matrix is an unsupervised learning technique which can be used in recommendation systems. It is a dimensionality reduction technique. Take a look at my detailed article below to know more about NMF - \nhttps://medium.com/codex/what-is-non-negative-matrix-factorization-nmf-32663fb4d65\n\nSome more useful articles on recommendation systems using NMF - \nhttps://medium.com/logicai/non-negative-matrix-factorization-for-recommendation-systems-985ca8d5c16c\n\nhttps://towardsdatascience.com/matrix-factorization-in-recommender-systems-3d3a18009881\n\nhttps://www.linkedin.com/pulse/fundamental-matrix-factorization-recommender-system-saurav-kumar/?trk=public_profile_article_view",
    "1733230": "Helpful collection",
    "1737542": "Its useful information",
    "1738053": "i need your help"
  },
  "source": "meta"
}