{
  "id": 72778,
  "title": "Similar Competition",
  "url": "/competitions/elo-merchant-category-recommendation/discussion/72778",
  "author_name": "NowYSM",
  "post_date": "2018-11-27T04:44:24.703000",
  "votes": 109,
  "comment_count": 38,
  "views": 0,
  "content": "<h2>Similar Competition</h2>\n\n<p>1) <a href=\"https://www.kaggle.com/c/santander-product-recommendation\">https://www.kaggle.com/c/santander-product-recommendation</a> <br>\n2) <a href=\"https://www.kaggle.com/c/kkbox-music-recommendation-challenge\">https://www.kaggle.com/c/kkbox-music-recommendation-challenge</a> <br>\n3) <a href=\"https://www.kaggle.com/c/event-recommendation-engine-challenge\">https://www.kaggle.com/c/event-recommendation-engine-challenge</a> <br>\n4) <a href=\"https://www.kaggle.com/c/R\">https://www.kaggle.com/c/R</a>  </p>\n\n<h2>Similar Kernels</h2>\n\n<p>1) <a href=\"https://www.kaggle.com/fabiendaniel/film-recommendation-engine\">https://www.kaggle.com/fabiendaniel/film-recommendation-engine</a> <br>\n2) <a href=\"https://www.kaggle.com/kanncaa1/recommendation-systems-tutorial\">https://www.kaggle.com/kanncaa1/recommendation-systems-tutorial</a> <br>\n3) <a href=\"https://www.kaggle.com/laowingkin/netflix-movie-recommendation\">https://www.kaggle.com/laowingkin/netflix-movie-recommendation</a> <br>\n4) <a href=\"https://www.kaggle.com/ambarish/eda-and-recommendation-system-donors-choose\">https://www.kaggle.com/ambarish/eda-and-recommendation-system-donors-choose</a> <br>\n5) <a href=\"https://www.kaggle.com/kamilkk/i-have-to-say-this\">https://www.kaggle.com/kamilkk/i-have-to-say-this</a> <br>\n6) <a href=\"https://www.kaggle.com/anokas/collaborative-filtering-btb-lb-0-01691\">https://www.kaggle.com/anokas/collaborative-filtering-btb-lb-0-01691</a> <br>\n7) <a href=\"https://www.kaggle.com/ambarish/recommendation-system-donors-choose\">https://www.kaggle.com/ambarish/recommendation-system-donors-choose</a> <br>\n8) <a href=\"https://www.kaggle.com/tanetboss/user-clustering-for-anime-recommendation\">https://www.kaggle.com/tanetboss/user-clustering-for-anime-recommendation</a>  </p>\n\n<h2>Some Article References  </h2>\n\n<p>1) <a href=\"https://towardsdatascience.com/collaborative-filtering-based-recommendation-systems-exemplified-ecbffe1c20b1\">https://towardsdatascience.com/collaborative-filtering-based-recommendation-systems-exemplified-ecbffe1c20b1</a> <br>\n2) <a href=\"https://hackernoon.com/introduction-to-recommender-system-part-1-collaborative-filtering-singular-value-decomposition-44c9659c5e75\">https://hackernoon.com/introduction-to-recommender-system-part-1-collaborative-filtering-singular-value-decomposition-44c9659c5e75</a>  </p>",
  "messages": [
    {
      "id": 428325,
      "postDate": "2018-11-27T04:44:24.703Z",
      "content": "<h2>Similar Competition</h2>\n\n<p>1) <a href=\"https://www.kaggle.com/c/santander-product-recommendation\">https://www.kaggle.com/c/santander-product-recommendation</a> <br>\n2) <a href=\"https://www.kaggle.com/c/kkbox-music-recommendation-challenge\">https://www.kaggle.com/c/kkbox-music-recommendation-challenge</a> <br>\n3) <a href=\"https://www.kaggle.com/c/event-recommendation-engine-challenge\">https://www.kaggle.com/c/event-recommendation-engine-challenge</a> <br>\n4) <a href=\"https://www.kaggle.com/c/R\">https://www.kaggle.com/c/R</a>  </p>\n\n<h2>Similar Kernels</h2>\n\n<p>1) <a href=\"https://www.kaggle.com/fabiendaniel/film-recommendation-engine\">https://www.kaggle.com/fabiendaniel/film-recommendation-engine</a> <br>\n2) <a href=\"https://www.kaggle.com/kanncaa1/recommendation-systems-tutorial\">https://www.kaggle.com/kanncaa1/recommendation-systems-tutorial</a> <br>\n3) <a href=\"https://www.kaggle.com/laowingkin/netflix-movie-recommendation\">https://www.kaggle.com/laowingkin/netflix-movie-recommendation</a> <br>\n4) <a href=\"https://www.kaggle.com/ambarish/eda-and-recommendation-system-donors-choose\">https://www.kaggle.com/ambarish/eda-and-recommendation-system-donors-choose</a> <br>\n5) <a href=\"https://www.kaggle.com/kamilkk/i-have-to-say-this\">https://www.kaggle.com/kamilkk/i-have-to-say-this</a> <br>\n6) <a href=\"https://www.kaggle.com/anokas/collaborative-filtering-btb-lb-0-01691\">https://www.kaggle.com/anokas/collaborative-filtering-btb-lb-0-01691</a> <br>\n7) <a href=\"https://www.kaggle.com/ambarish/recommendation-system-donors-choose\">https://www.kaggle.com/ambarish/recommendation-system-donors-choose</a> <br>\n8) <a href=\"https://www.kaggle.com/tanetboss/user-clustering-for-anime-recommendation\">https://www.kaggle.com/tanetboss/user-clustering-for-anime-recommendation</a>  </p>\n\n<h2>Some Article References  </h2>\n\n<p>1) <a href=\"https://towardsdatascience.com/collaborative-filtering-based-recommendation-systems-exemplified-ecbffe1c20b1\">https://towardsdatascience.com/collaborative-filtering-based-recommendation-systems-exemplified-ecbffe1c20b1</a> <br>\n2) <a href=\"https://hackernoon.com/introduction-to-recommender-system-part-1-collaborative-filtering-singular-value-decomposition-44c9659c5e75\">https://hackernoon.com/introduction-to-recommender-system-part-1-collaborative-filtering-singular-value-decomposition-44c9659c5e75</a>  </p>",
      "rawMarkdown": "Similar Competition\n---\n1) https://www.kaggle.com/c/santander-product-recommendation  \n2) https://www.kaggle.com/c/kkbox-music-recommendation-challenge  \n3) https://www.kaggle.com/c/event-recommendation-engine-challenge  \n4) https://www.kaggle.com/c/R  \n\nSimilar Kernels\n---\n1) https://www.kaggle.com/fabiendaniel/film-recommendation-engine  \n2) https://www.kaggle.com/kanncaa1/recommendation-systems-tutorial  \n3) https://www.kaggle.com/laowingkin/netflix-movie-recommendation  \n4) https://www.kaggle.com/ambarish/eda-and-recommendation-system-donors-choose  \n5) https://www.kaggle.com/kamilkk/i-have-to-say-this  \n6) https://www.kaggle.com/anokas/collaborative-filtering-btb-lb-0-01691  \n7) https://www.kaggle.com/ambarish/recommendation-system-donors-choose  \n8) https://www.kaggle.com/tanetboss/user-clustering-for-anime-recommendation  \n\nSome Article References  \n---\n1) https://towardsdatascience.com/collaborative-filtering-based-recommendation-systems-exemplified-ecbffe1c20b1  \n2) https://hackernoon.com/introduction-to-recommender-system-part-1-collaborative-filtering-singular-value-decomposition-44c9659c5e75  ",
      "votes": 109
    },
    {
      "id": 428990,
      "postDate": "2018-11-28T07:21:53.223Z",
      "content": "<p>Hi Ashish, \nI believe this is not a recommendation challenge where we predict a list of preferences. The title here says  Elo Merchant Category Recommendation - Help understand customer loyalty. We have to predict the customer loyalty score/index.</p>\n\n<p>To install further clarity, looking at the EDA <a href=\"https://www.kaggle.com/sudalairajkumar/simple-exploration-notebook-elo\">kernel</a> from @ SRK here the we predict a continuous value and a regression problem and not a recommendation challenge. Please correct me if I have mis-understood.</p>",
      "rawMarkdown": "Hi Ashish, \nI believe this is not a recommendation challenge where we predict a list of preferences. The title here says  Elo Merchant Category Recommendation - Help understand customer loyalty. We have to predict the customer loyalty score/index.\n\nTo install further clarity, looking at the EDA [kernel][1] from @ SRK here the we predict a continuous value and a regression problem and not a recommendation challenge. Please correct me if I have mis-understood.\n\n  [1]: https://www.kaggle.com/sudalairajkumar/simple-exploration-notebook-elo",
      "votes": 23,
      "replies": [
        {
          "id": 430165,
          "postDate": "2018-11-29T23:44:56.567Z",
          "content": "<p>I had the same thought. But maybe there's something all the upvoters see that we are missing?</p>\n\n<p>Academic papers like <a href=\"https://www.researchgate.net/publication/322815855_Using_Machine_Learning_to_Cocreate_Value_through_Dynamic_Customer_Engagement_in_a_Brand_Loyalty_Program\">this one</a> seem like a good place to start.</p>",
          "rawMarkdown": "I had the same thought. But maybe there's something all the upvoters see that we are missing?\n\nAcademic papers like [this one](https://www.researchgate.net/publication/322815855_Using_Machine_Learning_to_Cocreate_Value_through_Dynamic_Customer_Engagement_in_a_Brand_Loyalty_Program) seem like a good place to start.",
          "votes": 11
        },
        {
          "id": 431351,
          "postDate": "2018-12-02T04:58:11.650Z",
          "content": "<p>Nice @JohnM I haven't seen this one.</p>",
          "rawMarkdown": "Nice @JohnM I haven't seen this one."
        },
        {
          "id": 442782,
          "postDate": "2018-12-20T13:52:07.043Z",
          "content": "<p>Good effort though. No harm taking a look at the shared stuff. </p>",
          "rawMarkdown": "Good effort though. No harm taking a look at the shared stuff. "
        },
        {
          "id": 455531,
          "postDate": "2019-01-14T05:59:05.080Z",
          "content": "<p>Haha yep, at least one @Vishy actually looked at the competition before starting a thread.</p>",
          "rawMarkdown": "Haha yep, at least one @Vishy actually looked at the competition before starting a thread."
        }
      ]
    },
    {
      "id": 428423,
      "postDate": "2018-11-27T08:54:21.617Z",
      "content": "<p>Nice, thanks a lot for the resources. They are really helpful.</p>",
      "rawMarkdown": " Nice, thanks a lot for the resources. They are really helpful.",
      "votes": 4
    },
    {
      "id": 428758,
      "postDate": "2018-11-27T20:53:24.333Z",
      "content": "<p>thanks for putting this together, very helpful!</p>",
      "rawMarkdown": "thanks for putting this together, very helpful!",
      "votes": 1
    },
    {
      "id": 428671,
      "postDate": "2018-11-27T17:42:41.550Z",
      "content": "<p>This really good!!</p>",
      "rawMarkdown": "This really good!!",
      "votes": 1
    },
    {
      "id": 428651,
      "postDate": "2018-11-27T16:58:43.897Z",
      "content": "<p>Very nice to begin this competition with such a thread ! Thanks !</p>",
      "rawMarkdown": "Very nice to begin this competition with such a thread ! Thanks !",
      "votes": 1
    },
    {
      "id": 428532,
      "postDate": "2018-11-27T12:38:22.117Z",
      "content": "<p>Thanks. This is an interesting competition.</p>",
      "rawMarkdown": "Thanks. This is an interesting competition.",
      "votes": 1
    },
    {
      "id": 428357,
      "postDate": "2018-11-27T06:10:42.420Z",
      "content": "<p>Great work, thx！</p>",
      "rawMarkdown": "Great work, thx！",
      "votes": 1
    },
    {
      "id": 428343,
      "postDate": "2018-11-27T05:42:44.670Z",
      "content": "<p>Great work buddy!</p>",
      "rawMarkdown": "Great work buddy!",
      "votes": 1
    },
    {
      "id": 429710,
      "postDate": "2018-11-29T08:19:30.013Z",
      "content": "<p>Nice! Thanks for sharing! These will surely come in handy.</p>",
      "rawMarkdown": "Nice! Thanks for sharing! These will surely come in handy.",
      "votes": 2
    },
    {
      "id": 429564,
      "postDate": "2018-11-29T02:51:03.537Z",
      "content": "<p>Great work!</p>",
      "rawMarkdown": "Great work!",
      "votes": 2
    },
    {
      "id": 1956420,
      "postDate": "2022-09-26T12:56:41.750Z",
      "content": "<p>Hi. I am new to Kaggle. I need to become a Contributor. What can be done. Is it possible to invite someone to form a team for a limited participation competition. </p>",
      "rawMarkdown": "Hi. I am new to Kaggle. I need to become a Contributor. What can be done. Is it possible to invite someone to form a team for a limited participation competition. "
    },
    {
      "id": 455495,
      "postDate": "2019-01-14T03:43:24.727Z",
      "content": "<p>Thanks. This helps for both study and competition perspective. </p>",
      "rawMarkdown": "Thanks. This helps for both study and competition perspective. "
    },
    {
      "id": 436677,
      "postDate": "2018-12-10T18:19:16.857Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 429854,
      "postDate": "2018-11-29T13:15:18.533Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 429109,
      "postDate": "2018-11-28T10:57:44.380Z",
      "rawMarkdown": "",
      "votes": 2,
      "isDeleted": true
    },
    {
      "id": 429684,
      "postDate": "2018-11-29T07:27:46.647Z",
      "content": "<p>thank you checking now!</p>",
      "rawMarkdown": "thank you checking now!\n",
      "votes": 3
    },
    {
      "id": 429586,
      "postDate": "2018-11-29T03:44:57.637Z",
      "content": "<p>Thanks</p>",
      "rawMarkdown": "Thanks",
      "votes": 1
    },
    {
      "id": 428764,
      "postDate": "2018-11-27T21:12:23.043Z",
      "content": "<p>You're awesome Anish, thank you </p>",
      "rawMarkdown": "You're awesome Anish, thank you ",
      "votes": 1
    },
    {
      "id": 428677,
      "postDate": "2018-11-27T17:50:00.883Z",
      "content": "<p>thank you</p>",
      "rawMarkdown": "thank you",
      "votes": 1
    },
    {
      "id": 428486,
      "postDate": "2018-11-27T11:17:54.260Z",
      "content": "<p>Thanks a lot </p>",
      "rawMarkdown": "Thanks a lot ",
      "votes": 1
    },
    {
      "id": 428403,
      "postDate": "2018-11-27T08:09:36.027Z",
      "content": "<p>great. Thanks</p>",
      "rawMarkdown": "great. Thanks",
      "votes": 1
    },
    {
      "id": 431365,
      "postDate": "2018-12-02T05:23:01.223Z",
      "content": "<p>thanks</p>",
      "rawMarkdown": "thanks",
      "votes": 2
    },
    {
      "id": 431171,
      "postDate": "2018-12-01T17:55:43.947Z",
      "content": "<p>thank you checking now!</p>",
      "rawMarkdown": "thank you checking now!",
      "votes": 2
    },
    {
      "id": 430880,
      "postDate": "2018-12-01T05:12:14.257Z",
      "content": "<p>Thanks!</p>",
      "rawMarkdown": "Thanks!",
      "votes": 2
    },
    {
      "id": 430155,
      "postDate": "2018-11-29T23:16:52.357Z",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": 2
    },
    {
      "id": 430087,
      "postDate": "2018-11-29T20:06:58.627Z",
      "content": "<p>Thanks</p>",
      "rawMarkdown": "Thanks",
      "votes": 2
    },
    {
      "id": 429337,
      "postDate": "2018-11-28T17:54:33.880Z",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": 2
    },
    {
      "id": 429270,
      "postDate": "2018-11-28T15:54:22.690Z",
      "content": "<p>Thanks for sharing!</p>",
      "rawMarkdown": "Thanks for sharing!",
      "votes": 2
    },
    {
      "id": 429266,
      "postDate": "2018-11-28T15:50:33.903Z",
      "content": "<p>great! Thanks</p>",
      "rawMarkdown": "great! Thanks",
      "votes": 2
    },
    {
      "id": 428813,
      "postDate": "2018-11-27T23:44:40.457Z",
      "content": "<p>Thank you very much! </p>",
      "rawMarkdown": "Thank you very much! ",
      "votes": 2
    },
    {
      "id": 428774,
      "postDate": "2018-11-27T21:31:57.670Z",
      "content": "<p>Thank you !</p>",
      "rawMarkdown": "Thank you !",
      "votes": 2
    },
    {
      "id": 428771,
      "postDate": "2018-11-27T21:29:23.457Z",
      "content": "<p>Very Nice..Thanks for the information!!</p>",
      "rawMarkdown": "Very Nice..Thanks for the information!!",
      "votes": 2
    },
    {
      "id": 440074,
      "postDate": "2018-12-17T02:06:11.697Z",
      "content": "<p>Thanks</p>",
      "rawMarkdown": "Thanks"
    },
    {
      "id": 434219,
      "postDate": "2018-12-06T04:06:42.487Z",
      "content": "<p>Thanks a lot</p>",
      "rawMarkdown": "Thanks a lot"
    }
  ],
  "comments": [
    {
      "id": 428990,
      "author_name": "Vishy",
      "author_url": "",
      "post_date": "2018-11-28T07:21:53.223000",
      "content": "<p>Hi Ashish, \nI believe this is not a recommendation challenge where we predict a list of preferences. The title here says  Elo Merchant Category Recommendation - Help understand customer loyalty. We have to predict the customer loyalty score/index.</p>\n\n<p>To install further clarity, looking at the EDA <a href=\"https://www.kaggle.com/sudalairajkumar/simple-exploration-notebook-elo\">kernel</a> from @ SRK here the we predict a continuous value and a regression problem and not a recommendation challenge. Please correct me if I have mis-understood.</p>",
      "votes": 23,
      "replies": [
        {
          "id": 430165,
          "author_name": "JohnM",
          "author_url": "",
          "post_date": "2018-11-29T23:44:56.567000",
          "content": "<p>I had the same thought. But maybe there's something all the upvoters see that we are missing?</p>\n\n<p>Academic papers like <a href=\"https://www.researchgate.net/publication/322815855_Using_Machine_Learning_to_Cocreate_Value_through_Dynamic_Customer_Engagement_in_a_Brand_Loyalty_Program\">this one</a> seem like a good place to start.</p>",
          "votes": 11,
          "replies": []
        },
        {
          "id": 431351,
          "author_name": "Vishy",
          "author_url": "",
          "post_date": "2018-12-02T04:58:11.650000",
          "content": "<p>Nice @JohnM I haven't seen this one.</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 442782,
          "author_name": "FP",
          "author_url": "",
          "post_date": "2018-12-20T13:52:07.043000",
          "content": "<p>Good effort though. No harm taking a look at the shared stuff. </p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 455531,
          "author_name": "morenoh149",
          "author_url": "",
          "post_date": "2019-01-14T05:59:05.080000",
          "content": "<p>Haha yep, at least one @Vishy actually looked at the competition before starting a thread.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 428423,
      "author_name": "Karthick",
      "author_url": "",
      "post_date": "2018-11-27T08:54:21.617000",
      "content": "<p>Nice, thanks a lot for the resources. They are really helpful.</p>",
      "votes": 4,
      "replies": []
    },
    {
      "id": 428758,
      "author_name": "rhaegaression ",
      "author_url": "",
      "post_date": "2018-11-27T20:53:24.333000",
      "content": "<p>thanks for putting this together, very helpful!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428671,
      "author_name": "predictor",
      "author_url": "",
      "post_date": "2018-11-27T17:42:41.550000",
      "content": "<p>This really good!!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428651,
      "author_name": "Y Assous",
      "author_url": "",
      "post_date": "2018-11-27T16:58:43.897000",
      "content": "<p>Very nice to begin this competition with such a thread ! Thanks !</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428532,
      "author_name": "NelsonGon",
      "author_url": "",
      "post_date": "2018-11-27T12:38:22.117000",
      "content": "<p>Thanks. This is an interesting competition.</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428357,
      "author_name": "Yasin",
      "author_url": "",
      "post_date": "2018-11-27T06:10:42.420000",
      "content": "<p>Great work, thx！</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428343,
      "author_name": "Muralish",
      "author_url": "",
      "post_date": "2018-11-27T05:42:44.670000",
      "content": "<p>Great work buddy!</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 429710,
      "author_name": "Carlo",
      "author_url": "",
      "post_date": "2018-11-29T08:19:30.013000",
      "content": "<p>Nice! Thanks for sharing! These will surely come in handy.</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 429564,
      "author_name": "Jingying Luan",
      "author_url": "",
      "post_date": "2018-11-29T02:51:03.537000",
      "content": "<p>Great work!</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 1956420,
      "author_name": "jyothi",
      "author_url": "",
      "post_date": "2022-09-26T12:56:41.750000",
      "content": "<p>Hi. I am new to Kaggle. I need to become a Contributor. What can be done. Is it possible to invite someone to form a team for a limited participation competition. </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 455495,
      "author_name": "XiaoyuYang",
      "author_url": "",
      "post_date": "2019-01-14T03:43:24.727000",
      "content": "<p>Thanks. This helps for both study and competition perspective. </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 436677,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-12-10T18:19:16.857000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 429854,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-11-29T13:15:18.533000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 429109,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-11-28T10:57:44.380000",
      "content": "",
      "votes": 2,
      "replies": []
    },
    {
      "id": 429684,
      "author_name": "Firat Gonen",
      "author_url": "",
      "post_date": "2018-11-29T07:27:46.647000",
      "content": "<p>thank you checking now!</p>",
      "votes": 3,
      "replies": []
    },
    {
      "id": 429586,
      "author_name": "Junseok Oh",
      "author_url": "",
      "post_date": "2018-11-29T03:44:57.637000",
      "content": "<p>Thanks</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428764,
      "author_name": "Romtein Rostami",
      "author_url": "",
      "post_date": "2018-11-27T21:12:23.043000",
      "content": "<p>You're awesome Anish, thank you </p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428677,
      "author_name": "ayoub chebbi",
      "author_url": "",
      "post_date": "2018-11-27T17:50:00.883000",
      "content": "<p>thank you</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428486,
      "author_name": "MNK",
      "author_url": "",
      "post_date": "2018-11-27T11:17:54.260000",
      "content": "<p>Thanks a lot </p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 428403,
      "author_name": "Thong Nguyen",
      "author_url": "",
      "post_date": "2018-11-27T08:09:36.027000",
      "content": "<p>great. Thanks</p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 431365,
      "author_name": "Kalyan Pendyala",
      "author_url": "",
      "post_date": "2018-12-02T05:23:01.223000",
      "content": "<p>thanks</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 431171,
      "author_name": "Taha Furkan Sarıcan",
      "author_url": "",
      "post_date": "2018-12-01T17:55:43.947000",
      "content": "<p>thank you checking now!</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 430880,
      "author_name": "Deepak",
      "author_url": "",
      "post_date": "2018-12-01T05:12:14.257000",
      "content": "<p>Thanks!</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 430155,
      "author_name": "YanZhao",
      "author_url": "",
      "post_date": "2018-11-29T23:16:52.357000",
      "content": "<p>Thanks for sharing!</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 430087,
      "author_name": "Harry Li",
      "author_url": "",
      "post_date": "2018-11-29T20:06:58.627000",
      "content": "<p>Thanks</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 429337,
      "author_name": "Terry Liu",
      "author_url": "",
      "post_date": "2018-11-28T17:54:33.880000",
      "content": "<p>Thanks for sharing!</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 429270,
      "author_name": "Theo Viel",
      "author_url": "",
      "post_date": "2018-11-28T15:54:22.690000",
      "content": "<p>Thanks for sharing!</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 429266,
      "author_name": "hanaia",
      "author_url": "",
      "post_date": "2018-11-28T15:50:33.903000",
      "content": "<p>great! Thanks</p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 428813,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-11-27T23:44:40.457000",
      "content": "",
      "votes": 2,
      "replies": []
    },
    {
      "id": 428774,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-11-27T21:31:57.670000",
      "content": "",
      "votes": 2,
      "replies": []
    },
    {
      "id": 428771,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-11-27T21:29:23.457000",
      "content": "",
      "votes": 2,
      "replies": []
    },
    {
      "id": 440074,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-12-17T02:06:11.697000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 434219,
      "author_name": "",
      "author_url": "",
      "post_date": "2018-12-06T04:06:42.487000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "428325": "Similar Competition\n---\n1) https://www.kaggle.com/c/santander-product-recommendation  \n2) https://www.kaggle.com/c/kkbox-music-recommendation-challenge  \n3) https://www.kaggle.com/c/event-recommendation-engine-challenge  \n4) https://www.kaggle.com/c/R  \n\nSimilar Kernels\n---\n1) https://www.kaggle.com/fabiendaniel/film-recommendation-engine  \n2) https://www.kaggle.com/kanncaa1/recommendation-systems-tutorial  \n3) https://www.kaggle.com/laowingkin/netflix-movie-recommendation  \n4) https://www.kaggle.com/ambarish/eda-and-recommendation-system-donors-choose  \n5) https://www.kaggle.com/kamilkk/i-have-to-say-this  \n6) https://www.kaggle.com/anokas/collaborative-filtering-btb-lb-0-01691  \n7) https://www.kaggle.com/ambarish/recommendation-system-donors-choose  \n8) https://www.kaggle.com/tanetboss/user-clustering-for-anime-recommendation  \n\nSome Article References  \n---\n1) https://towardsdatascience.com/collaborative-filtering-based-recommendation-systems-exemplified-ecbffe1c20b1  \n2) https://hackernoon.com/introduction-to-recommender-system-part-1-collaborative-filtering-singular-value-decomposition-44c9659c5e75  ",
    "428990": "Hi Ashish, \nI believe this is not a recommendation challenge where we predict a list of preferences. The title here says  Elo Merchant Category Recommendation - Help understand customer loyalty. We have to predict the customer loyalty score/index.\n\nTo install further clarity, looking at the EDA [kernel][1] from @ SRK here the we predict a continuous value and a regression problem and not a recommendation challenge. Please correct me if I have mis-understood.\n\n  [1]: https://www.kaggle.com/sudalairajkumar/simple-exploration-notebook-elo",
    "428423": " Nice, thanks a lot for the resources. They are really helpful.",
    "428758": "thanks for putting this together, very helpful!",
    "428671": "This really good!!",
    "428651": "Very nice to begin this competition with such a thread ! Thanks !",
    "428532": "Thanks. This is an interesting competition.",
    "428357": "Great work, thx！",
    "428343": "Great work buddy!",
    "429710": "Nice! Thanks for sharing! These will surely come in handy.",
    "429564": "Great work!",
    "1956420": "Hi. I am new to Kaggle. I need to become a Contributor. What can be done. Is it possible to invite someone to form a team for a limited participation competition. ",
    "455495": "Thanks. This helps for both study and competition perspective. ",
    "436677": "",
    "429854": "",
    "429109": "",
    "429684": "thank you checking now!\n",
    "429586": "Thanks",
    "428764": "You're awesome Anish, thank you ",
    "428677": "thank you",
    "428486": "Thanks a lot ",
    "428403": "great. Thanks",
    "431365": "thanks",
    "431171": "thank you checking now!",
    "430880": "Thanks!",
    "430155": "Thanks for sharing!",
    "430087": "Thanks",
    "429337": "Thanks for sharing!",
    "429270": "Thanks for sharing!",
    "429266": "great! Thanks",
    "428813": "Thank you very much! ",
    "428774": "Thank you !",
    "428771": "Very Nice..Thanks for the information!!",
    "440074": "Thanks",
    "434219": "Thanks a lot"
  }
}