{
  "fetched_at": "2026-10-19T21:40:55Z",
  "source_url": "https://www.kaggle.com/competitions/UCLAML2p1/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<p>FilmMissingIndices.txt:&nbsp; row i&nbsp; contains the film in the first column (1 to 500) and the user in the second column (1 to 3000).&nbsp; The ith row of the solution file should then contain the prediction for the corresponding ith row of FilmMissingIndices.txt<br /> <br /> FilmPositiveNegative.mat contains a 3000x500 matrix for the 3000 users and 500 films. The positive indices on row i contains the films that user i liked and the negative indices are the indices of the films that user i did not like.</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "<p>This is a film recommendation problem. A user gives a value of 1 for a film he likes and -1 for a film he doesn't like. Only a small number of the films are thus rated by each user and the task is to predict the probability that a user will like each non-labelled film.</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "<p>The task is to submit the probability that a user will like a film. This will be compared with the `true'&nbsp;probability&nbsp;that the user will like a film (this is a synthetic problem in which these true probabilities are known).</p>\r\n<div></div>\r\n<div>The root mean square error is used to judge performance.</div>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Submission Instructions",
      "content": "<p>You must upload a file submit.txt that contains on each row the&nbsp;probability&nbsp;of a user liking a film.&nbsp;</p>\r\n<div></div>\r\n<div>The user/film index that each row corresponds to is contained in the corresponding row of FilmMissingIndices.txt.</div>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "\r\n\t<!-- Begin Base Rules -->\r\n    <h3>One account per participant</h3>\r\n    <p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\r\n    <h3>No private sharing outside teams</h3>\r\n    <p>\r\n        Privately sharing code or data outside of teams is not permitted.\r\n        It's okay to share code if made available to all participants on the forums.\r\n    </p>\r\n    <h3>Team Mergers</h3>\r\n    <p>\r\n        Team mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the merge date. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running.<br/>\r\n    </p>\r\n\r\n    <h3>Team Limits</h3>\r\n    <p>There is no maximum team size.</p>\r\n    <h3>Submission Limits</h3>\r\n    <p>You may submit a maximum of 5 entries per day.</p>\r\n    <p>You may select up to 5 final submissions for judging.</p>\r\n    <h3>Competition Timeline</h3>\r\n    <p>Start Date: <strong>2/7/2011 12:00 AM UTC</strong></p>\r\n    <p>Merger Deadline: <strong>None</strong></p>\r\n    <p>Entry Deadline: <strong>None</strong></p>\r\n    <p>End Date: <strong>9/16/2013 11:59 PM UTC</strong></p>\r\n\t<!-- End Base Rules -->\r\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Prizes",
      "content": "<p>Insert your prizes here</p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}