{
  "id": 207047,
  "title": "3D convolutions for DKT",
  "url": "/competitions/riiid-test-answer-prediction/discussion/207047",
  "author_name": "lego_king",
  "post_date": "2020-12-27T21:49:48.835000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p><a href=\"https://arxiv.org/abs/2008.01169\" target=\"_blank\">https://arxiv.org/abs/2008.01169</a></p>\n<p>This paper uses 3D convolutions and LSTM for Deep Knowledge Tracing. Worth reading</p>",
  "messages": [
    {
      "id": 1128905,
      "postDate": "2020-12-27T21:49:48.837Z",
      "content": "<p><a href=\"https://arxiv.org/abs/2008.01169\" target=\"_blank\">https://arxiv.org/abs/2008.01169</a></p>\n<p>This paper uses 3D convolutions and LSTM for Deep Knowledge Tracing. Worth reading</p>",
      "rawMarkdown": "https://arxiv.org/abs/2008.01169\n\nThis paper uses 3D convolutions and LSTM for Deep Knowledge Tracing. Worth reading",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1128905": "https://arxiv.org/abs/2008.01169\n\nThis paper uses 3D convolutions and LSTM for Deep Knowledge Tracing. Worth reading"
  }
}