{
  "id": 363603,
  "title": "RecBole - A framework for recommendation",
  "url": "/competitions/otto-recommender-system/discussion/363603",
  "author_name": "",
  "post_date": "2022-11-02T11:58:13.729133500Z",
  "votes": 31,
  "comment_count": 1,
  "views": 0,
  "content": "<p><a href=\"https://recbole.io/docs/index.html\" target=\"_blank\">Recbole</a> is a framework for recommendation that implements many famous recommendation algorithms. Here's the description of the framework:</p>\n<blockquote>\n  <p>RecBole is a unified, comprehensive and efficient framework developed based on PyTorch. It aims to help the researchers to reproduce and develop recommendation models.</p>\n  <p>In the lastest release, our library includes 83 recommendation algorithms [Model List], covering four major categories:</p>\n  <ul>\n  <li>General Recommendation</li>\n  <li>Sequential Recommendation</li>\n  <li>Context-aware Recommendation</li>\n  <li>Knowledge-based Recommendation</li>\n  </ul>\n</blockquote>\n<p>I think this will be a powerful toolbox for this competition. Hope this will help you work with this challenging task!</p>",
  "messages": [
    {
      "id": "2014187",
      "postDate": "11/02/2022 11:58:13",
      "content": "<p><a href=\"https://recbole.io/docs/index.html\" target=\"_blank\">Recbole</a> is a framework for recommendation that implements many famous recommendation algorithms. Here's the description of the framework:</p>\n<blockquote>\n  <p>RecBole is a unified, comprehensive and efficient framework developed based on PyTorch. It aims to help the researchers to reproduce and develop recommendation models.</p>\n  <p>In the lastest release, our library includes 83 recommendation algorithms [Model List], covering four major categories:</p>\n  <ul>\n  <li>General Recommendation</li>\n  <li>Sequential Recommendation</li>\n  <li>Context-aware Recommendation</li>\n  <li>Knowledge-based Recommendation</li>\n  </ul>\n</blockquote>\n<p>I think this will be a powerful toolbox for this competition. Hope this will help you work with this challenging task!</p>",
      "rawMarkdown": "[Recbole](https://recbole.io/docs/index.html) is a framework for recommendation that implements many famous recommendation algorithms. Here's the description of the framework:\n\n> RecBole is a unified, comprehensive and efficient framework developed based on PyTorch. It aims to help the researchers to reproduce and develop recommendation models.\n\n> In the lastest release, our library includes 83 recommendation algorithms [Model List], covering four major categories:\n> * General Recommendation\n> * Sequential Recommendation\n> * Context-aware Recommendation\n> * Knowledge-based Recommendation\n\nI think this will be a powerful toolbox for this competition. Hope this will help you work with this challenging task!",
      "votes": null
    },
    {
      "id": "2014795",
      "postDate": "11/02/2022 21:09:19",
      "content": "<p>Thank you for introducing RecBole, H. Arai.  \"based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose.\" <br>\n<a href=\"https://recbole.io/\" target=\"_blank\">https://recbole.io/</a></p>",
      "rawMarkdown": "Thank you for introducing RecBole, H. Arai.  \"based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose.\" \nhttps://recbole.io/",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2014795,
      "author_name": "mpwolke",
      "author_url": "",
      "post_date": "11/02/2022 21:09:19",
      "content": "<p>Thank you for introducing RecBole, H. Arai.  \"based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose.\" <br>\n<a href=\"https://recbole.io/\" target=\"_blank\">https://recbole.io/</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2014187": "[Recbole](https://recbole.io/docs/index.html) is a framework for recommendation that implements many famous recommendation algorithms. Here's the description of the framework:\n\n> RecBole is a unified, comprehensive and efficient framework developed based on PyTorch. It aims to help the researchers to reproduce and develop recommendation models.\n\n> In the lastest release, our library includes 83 recommendation algorithms [Model List], covering four major categories:\n> * General Recommendation\n> * Sequential Recommendation\n> * Context-aware Recommendation\n> * Knowledge-based Recommendation\n\nI think this will be a powerful toolbox for this competition. Hope this will help you work with this challenging task!",
    "2014795": "Thank you for introducing RecBole, H. Arai.  \"based on Python and PyTorch for reproducing and developing recommendation algorithms in a unified, comprehensive and efficient framework for research purpose.\" \nhttps://recbole.io/"
  },
  "source": "meta"
}