{
  "id": 20902,
  "title": "Different destination distance for same conditions",
  "url": "/competitions/expedia-hotel-recommendations/discussion/20902",
  "author_name": "",
  "post_date": "2016-05-12T13:23:01.713Z",
  "votes": 1,
  "comment_count": 2,
  "views": 775,
  "content": "<p>Hi, how is it possible that for the same user location country, user location region, user location city, hotel_market and srch_destination_type_id, I see different orig_destination_distance.</p>\n\n<p>In fact, if you look at user 11800 you'll find 2 rows where all the values where the same, except for orig_destination_distance and date_time</p>",
  "messages": [
    {
      "id": "119717",
      "postDate": "05/12/2016 13:23:01",
      "content": "<p>Hi, how is it possible that for the same user location country, user location region, user location city, hotel_market and srch_destination_type_id, I see different orig_destination_distance.</p>\n\n<p>In fact, if you look at user 11800 you'll find 2 rows where all the values where the same, except for orig_destination_distance and date_time</p>",
      "rawMarkdown": "Hi, how is it possible that for the same user location country, user location region, user location city, hotel_market and srch_destination_type_id, I see different orig_destination_distance.\r\n\r\nIn fact, if you look at user 11800 you'll find 2 rows where all the values where the same, except for orig_destination_distance and date_time",
      "votes": null
    },
    {
      "id": "120030",
      "postDate": "05/14/2016 18:46:41",
      "content": "<p>That is because orig_destination_distance is a distance to a hotel chosen.</p>",
      "rawMarkdown": "That is because orig_destination_distance is a distance to a hotel chosen.",
      "votes": null
    },
    {
      "id": "120281",
      "postDate": "05/17/2016 02:49:59",
      "content": "<p>Another reasons is that there are cases of same variable values but different actual meanings. I.e there are cities around the world with same names and that would appear as the same codes in our dataset but their respective distances between each other are different. </p>",
      "rawMarkdown": "Another reasons is that there are cases of same variable values but different actual meanings. I.e there are cities around the world with same names and that would appear as the same codes in our dataset but their respective distances between each other are different.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 120030,
      "author_name": "nedelko",
      "author_url": "",
      "post_date": "05/14/2016 18:46:41",
      "content": "<p>That is because orig_destination_distance is a distance to a hotel chosen.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 120281,
      "author_name": "zyazzy",
      "author_url": "",
      "post_date": "05/17/2016 02:49:59",
      "content": "<p>Another reasons is that there are cases of same variable values but different actual meanings. I.e there are cities around the world with same names and that would appear as the same codes in our dataset but their respective distances between each other are different. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "119717": "Hi, how is it possible that for the same user location country, user location region, user location city, hotel_market and srch_destination_type_id, I see different orig_destination_distance.\r\n\r\nIn fact, if you look at user 11800 you'll find 2 rows where all the values where the same, except for orig_destination_distance and date_time",
    "120030": "That is because orig_destination_distance is a distance to a hotel chosen.",
    "120281": "Another reasons is that there are cases of same variable values but different actual meanings. I.e there are cities around the world with same names and that would appear as the same codes in our dataset but their respective distances between each other are different."
  },
  "source": "meta"
}