{
  "id": 312654,
  "title": "RecSys 2022 challenge & this task",
  "url": "/competitions/h-and-m-personalized-fashion-recommendations/discussion/312654",
  "author_name": "",
  "post_date": "2022-03-13T09:40:16.920710700Z",
  "votes": 10,
  "comment_count": 7,
  "views": 0,
  "content": "<p>Interestingly, this year's RecSys challenge (<a href=\"https://www.recsyschallenge.com/2022/\" target=\"_blank\">https://www.recsyschallenge.com/2022/</a>) is also a personalized fashion recommendation challenge.</p>\n<p>Is anyone working on both challenges? Maybe we can utilize similar heuristics (e.g., novelty and popularity-aware approaches are required; typical collaborative filtering models like ALS may not work well)</p>",
  "messages": [
    {
      "id": "1720959",
      "postDate": "03/13/2022 09:40:16",
      "content": "<p>Interestingly, this year's RecSys challenge (<a href=\"https://www.recsyschallenge.com/2022/\" target=\"_blank\">https://www.recsyschallenge.com/2022/</a>) is also a personalized fashion recommendation challenge.</p>\n<p>Is anyone working on both challenges? Maybe we can utilize similar heuristics (e.g., novelty and popularity-aware approaches are required; typical collaborative filtering models like ALS may not work well)</p>",
      "rawMarkdown": "Interestingly, this year's RecSys challenge (https://www.recsyschallenge.com/2022/) is also a personalized fashion recommendation challenge.\n\nIs anyone working on both challenges? Maybe we can utilize similar heuristics (e.g., novelty and popularity-aware approaches are required; typical collaborative filtering models like ALS may not work well)",
      "votes": null
    },
    {
      "id": "1720993",
      "postDate": "03/13/2022 10:21:11",
      "content": "<p>Thanks for sharing, Junsol! </p>\n<p>I just skimmed through the problem statement-the RecSys challenge has a more session based focus and more annotations for the dataset items-which sounds really cool. It could make for interesting external data for this comp too. </p>",
      "rawMarkdown": "Thanks for sharing, Junsol! \n\nI just skimmed through the problem statement-the RecSys challenge has a more session based focus and more annotations for the dataset items-which sounds really cool. It could make for interesting external data for this comp too.",
      "votes": null
    },
    {
      "id": "1721676",
      "postDate": "03/13/2022 23:32:32",
      "content": "<p>Though both challenges are called Recommendation systems, they are very different.</p>",
      "rawMarkdown": "Though both challenges are called Recommendation systems, they are very different.",
      "votes": null
    },
    {
      "id": "1722045",
      "postDate": "03/14/2022 07:59:42",
      "content": "<p><a href=\"https://www.kaggle.com/atulverma\" target=\"_blank\">@atulverma</a> I remember reading about some past RecSys challenges with similar session-based problem statements. </p>\n<p>I still agree with Junsol, we could potentially still have some ideas from either competition help across the other one since both are fashion-based recommender problems.</p>",
      "rawMarkdown": "atulverma I remember reading about some past RecSys challenges with similar session-based problem statements. \n\nI still agree with Junsol, we could potentially still have some ideas from either competition help across the other one since both are fashion-based recommender problems.",
      "votes": null
    },
    {
      "id": "1722194",
      "postDate": "03/14/2022 09:35:14",
      "content": "<p>Thanks for the comment, Sanyam! </p>",
      "rawMarkdown": "Thanks for the comment, Sanyam!",
      "votes": null
    },
    {
      "id": "1730132",
      "postDate": "03/21/2022 00:31:06",
      "content": "<p>The competition opened on 7th March.</p>\n<p>The score is already up to     <strong>0.17958487428544945</strong></p>\n<p><a href=\"https://www.dressipi-recsys2022.com/\" target=\"_blank\">https://www.dressipi-recsys2022.com/</a></p>",
      "rawMarkdown": "The competition opened on 7th March.\n\nThe score is already up to \t**0.17958487428544945**\n\nhttps://www.dressipi-recsys2022.com/",
      "votes": null
    },
    {
      "id": "1732279",
      "postDate": "03/23/2022 07:21:27",
      "content": "<p>Hello, could you provide the baseline of this competition, thank you very much</p>",
      "rawMarkdown": "Hello, could you provide the baseline of this competition, thank you very much",
      "votes": null
    },
    {
      "id": "1796372",
      "postDate": "05/20/2022 18:53:06",
      "content": "<p>Hello,<br>\nI just began to work on the RecSys challenge 2022. But I still do not understand what to predict. I am new as far as Data Science is concerned. Has anyone a baseline model for me? I just want to practice.</p>",
      "rawMarkdown": "Hello,\nI just began to work on the RecSys challenge 2022. But I still do not understand what to predict. I am new as far as Data Science is concerned. Has anyone a baseline model for me? I just want to practice.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1720993,
      "author_name": "init27",
      "author_url": "",
      "post_date": "03/13/2022 10:21:11",
      "content": "<p>Thanks for sharing, Junsol! </p>\n<p>I just skimmed through the problem statement-the RecSys challenge has a more session based focus and more annotations for the dataset items-which sounds really cool. It could make for interesting external data for this comp too. </p>",
      "votes": null,
      "replies": [
        {
          "id": 1722194,
          "author_name": "junsol",
          "author_url": "",
          "post_date": "03/14/2022 09:35:14",
          "content": "<p>Thanks for the comment, Sanyam! </p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1721676,
      "author_name": "atulverma",
      "author_url": "",
      "post_date": "03/13/2022 23:32:32",
      "content": "<p>Though both challenges are called Recommendation systems, they are very different.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1722045,
          "author_name": "init27",
          "author_url": "",
          "post_date": "03/14/2022 07:59:42",
          "content": "<p><a href=\"https://www.kaggle.com/atulverma\" target=\"_blank\">@atulverma</a> I remember reading about some past RecSys challenges with similar session-based problem statements. </p>\n<p>I still agree with Junsol, we could potentially still have some ideas from either competition help across the other one since both are fashion-based recommender problems.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1730132,
      "author_name": "atulverma",
      "author_url": "",
      "post_date": "03/21/2022 00:31:06",
      "content": "<p>The competition opened on 7th March.</p>\n<p>The score is already up to     <strong>0.17958487428544945</strong></p>\n<p><a href=\"https://www.dressipi-recsys2022.com/\" target=\"_blank\">https://www.dressipi-recsys2022.com/</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1732279,
          "author_name": "beibaodeqq",
          "author_url": "",
          "post_date": "03/23/2022 07:21:27",
          "content": "<p>Hello, could you provide the baseline of this competition, thank you very much</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1796372,
      "author_name": "ogwh150",
      "author_url": "",
      "post_date": "05/20/2022 18:53:06",
      "content": "<p>Hello,<br>\nI just began to work on the RecSys challenge 2022. But I still do not understand what to predict. I am new as far as Data Science is concerned. Has anyone a baseline model for me? I just want to practice.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1720959": "Interestingly, this year's RecSys challenge (https://www.recsyschallenge.com/2022/) is also a personalized fashion recommendation challenge.\n\nIs anyone working on both challenges? Maybe we can utilize similar heuristics (e.g., novelty and popularity-aware approaches are required; typical collaborative filtering models like ALS may not work well)",
    "1720993": "Thanks for sharing, Junsol! \n\nI just skimmed through the problem statement-the RecSys challenge has a more session based focus and more annotations for the dataset items-which sounds really cool. It could make for interesting external data for this comp too.",
    "1721676": "Though both challenges are called Recommendation systems, they are very different.",
    "1722045": "atulverma I remember reading about some past RecSys challenges with similar session-based problem statements. \n\nI still agree with Junsol, we could potentially still have some ideas from either competition help across the other one since both are fashion-based recommender problems.",
    "1722194": "Thanks for the comment, Sanyam!",
    "1730132": "The competition opened on 7th March.\n\nThe score is already up to \t**0.17958487428544945**\n\nhttps://www.dressipi-recsys2022.com/",
    "1732279": "Hello, could you provide the baseline of this competition, thank you very much",
    "1796372": "Hello,\nI just began to work on the RecSys challenge 2022. But I still do not understand what to predict. I am new as far as Data Science is concerned. Has anyone a baseline model for me? I just want to practice."
  },
  "source": "meta"
}