{
  "id": 269057,
  "title": "Our exciting competition is coming to an end on August 31, 2021.",
  "url": "/competitions/bigdata2021-rl-recsys/discussion/269057",
  "author_name": "sword10086",
  "post_date": "2021-08-30T06:30:59.495000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Dear Competition Participants:</p>\n<p>First of all, we would like to extend our sincere gratitude to all participants. Our exciting competition is coming to an end on August 31, 2021. This is a niche competition for the novel reinforcement learning based recommendation system. Special thanks should go to the participants of Track II who have put considerable patience into their submission. Next, we will start the process of the report submission.</p>\n<p>Q: Who need to submit the solutions?<br>\nA: All participants are encouraged to submit the reports via the contact email:  bigdatacup2021_rl4rs@service.netease.com.</p>\n<p>Q: The deadline for submitting the solutions?<br>\nA: September 5, 2021 (delayed to September 10, 2021).</p>\n<p>Q: How about Prizes?<br>\nA: <a href=\"https://www.kaggle.com/c/bigdata2021-rl-recsys/overview/prizes\" target=\"_blank\">https://www.kaggle.com/c/bigdata2021-rl-recsys/overview/prizes</a></p>\n<p>Q: The final rank?<br>\nA: The teams will be ranked based on their score on the private leaderboard and the completeness of the submitted report. The final results will be published online on September 12, 2021.</p>\n<p>Q: The format of reports?<br>\nA: Your Kaggle account, email, a brief introduction of your data processing/model/network parameter/result. Source code will also be required to be submitted, either through a publicly available repository on a Git-based version control hosting service such as GitHub for the final evaluation.<br>\nReport example: <a href=\"https://ttvand.github.io/Second-place-in-the-Santander-product-Recommendation-Kaggle-competition/\" target=\"_blank\">https://ttvand.github.io/Second-place-in-the-Santander-product-Recommendation-Kaggle-competition/</a></p>\n<p>Q: Extending report for publication in IEEE Big Data 2021 conference?<br>\nA: We will invite authors of selected challenge reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The publications will be indexed in the same way as regular conference papers. The invited teams will be chosen based on their final rank, innovation of their approach, and quality of the submitted report.<br>\nAn example: <a href=\"https://github.com/PaddlePaddle/PARL/tree/develop/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge\" target=\"_blank\">https://github.com/PaddlePaddle/PARL/tree/develop/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge</a></p>\n<p>Q: What is the full Timeline?<br>\nA: The Timeline is:<br>\nAugust 31, 2021: deadline for submitting the solutions,<br>\nSeptember 10, 2021: deadline for sending the reports, end of the competition,<br>\nSeptember 12, 2021: online publication of the final results, sending invitations for submitting papers to the associated workshop at the IEEE Big Data 2021 conference,<br>\nOctober 10, 2021: deadline for submitting invited papers,<br>\nOctober 25, 2021: notification of paper acceptance,<br>\nNovember 15, 2021: camera-ready versions of accepted papers due.<br>\n**All deadlines are at 11:59 PM UTC-12 on the corresponding day unless otherwise noted. **</p>\n<p>You can contact us if any questions. (Contact us: bigdatacup2021_rl4rs@service.netease.com)</p>\n<p>Best Regards,</p>\n<p>The Organizers of IEEE Big Data 2021 RL4RS Challenge</p>\n<p>Kai Wang, Runze Wu, Zhene Zou, Xudong Shen, Tangjie Lyu, and Changjie Fan</p>",
  "messages": [
    {
      "id": 1496147,
      "postDate": "2021-08-30T06:30:59.497Z",
      "content": "<p>Dear Competition Participants:</p>\n<p>First of all, we would like to extend our sincere gratitude to all participants. Our exciting competition is coming to an end on August 31, 2021. This is a niche competition for the novel reinforcement learning based recommendation system. Special thanks should go to the participants of Track II who have put considerable patience into their submission. Next, we will start the process of the report submission.</p>\n<p>Q: Who need to submit the solutions?<br>\nA: All participants are encouraged to submit the reports via the contact email:  bigdatacup2021_rl4rs@service.netease.com.</p>\n<p>Q: The deadline for submitting the solutions?<br>\nA: September 5, 2021 (delayed to September 10, 2021).</p>\n<p>Q: How about Prizes?<br>\nA: <a href=\"https://www.kaggle.com/c/bigdata2021-rl-recsys/overview/prizes\" target=\"_blank\">https://www.kaggle.com/c/bigdata2021-rl-recsys/overview/prizes</a></p>\n<p>Q: The final rank?<br>\nA: The teams will be ranked based on their score on the private leaderboard and the completeness of the submitted report. The final results will be published online on September 12, 2021.</p>\n<p>Q: The format of reports?<br>\nA: Your Kaggle account, email, a brief introduction of your data processing/model/network parameter/result. Source code will also be required to be submitted, either through a publicly available repository on a Git-based version control hosting service such as GitHub for the final evaluation.<br>\nReport example: <a href=\"https://ttvand.github.io/Second-place-in-the-Santander-product-Recommendation-Kaggle-competition/\" target=\"_blank\">https://ttvand.github.io/Second-place-in-the-Santander-product-Recommendation-Kaggle-competition/</a></p>\n<p>Q: Extending report for publication in IEEE Big Data 2021 conference?<br>\nA: We will invite authors of selected challenge reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The publications will be indexed in the same way as regular conference papers. The invited teams will be chosen based on their final rank, innovation of their approach, and quality of the submitted report.<br>\nAn example: <a href=\"https://github.com/PaddlePaddle/PARL/tree/develop/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge\" target=\"_blank\">https://github.com/PaddlePaddle/PARL/tree/develop/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge</a></p>\n<p>Q: What is the full Timeline?<br>\nA: The Timeline is:<br>\nAugust 31, 2021: deadline for submitting the solutions,<br>\nSeptember 10, 2021: deadline for sending the reports, end of the competition,<br>\nSeptember 12, 2021: online publication of the final results, sending invitations for submitting papers to the associated workshop at the IEEE Big Data 2021 conference,<br>\nOctober 10, 2021: deadline for submitting invited papers,<br>\nOctober 25, 2021: notification of paper acceptance,<br>\nNovember 15, 2021: camera-ready versions of accepted papers due.<br>\n**All deadlines are at 11:59 PM UTC-12 on the corresponding day unless otherwise noted. **</p>\n<p>You can contact us if any questions. (Contact us: bigdatacup2021_rl4rs@service.netease.com)</p>\n<p>Best Regards,</p>\n<p>The Organizers of IEEE Big Data 2021 RL4RS Challenge</p>\n<p>Kai Wang, Runze Wu, Zhene Zou, Xudong Shen, Tangjie Lyu, and Changjie Fan</p>",
      "rawMarkdown": "Dear Competition Participants:\n\nFirst of all, we would like to extend our sincere gratitude to all participants. Our exciting competition is coming to an end on August 31, 2021. This is a niche competition for the novel reinforcement learning based recommendation system. Special thanks should go to the participants of Track II who have put considerable patience into their submission. Next, we will start the process of the report submission.\n\nQ: Who need to submit the solutions?\nA: All participants are encouraged to submit the reports via the contact email:  bigdatacup2021_rl4rs@service.netease.com.\n\nQ: The deadline for submitting the solutions?\nA: September 5, 2021 (delayed to September 10, 2021).\n\nQ: How about Prizes?\nA: https://www.kaggle.com/c/bigdata2021-rl-recsys/overview/prizes\n\nQ: The final rank?\nA: The teams will be ranked based on their score on the private leaderboard and the completeness of the submitted report. The final results will be published online on September 12, 2021.\n\nQ: The format of reports?\nA: Your Kaggle account, email, a brief introduction of your data processing/model/network parameter/result. Source code will also be required to be submitted, either through a publicly available repository on a Git-based version control hosting service such as GitHub for the final evaluation.\nReport example: https://ttvand.github.io/Second-place-in-the-Santander-product-Recommendation-Kaggle-competition/\n\nQ: Extending report for publication in IEEE Big Data 2021 conference?\nA: We will invite authors of selected challenge reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The publications will be indexed in the same way as regular conference papers. The invited teams will be chosen based on their final rank, innovation of their approach, and quality of the submitted report.\nAn example: https://github.com/PaddlePaddle/PARL/tree/develop/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge\n\nQ: What is the full Timeline?\nA: The Timeline is:\nAugust 31, 2021: deadline for submitting the solutions,\nSeptember 10, 2021: deadline for sending the reports, end of the competition,\nSeptember 12, 2021: online publication of the final results, sending invitations for submitting papers to the associated workshop at the IEEE Big Data 2021 conference,\nOctober 10, 2021: deadline for submitting invited papers,\nOctober 25, 2021: notification of paper acceptance,\nNovember 15, 2021: camera-ready versions of accepted papers due.\n**All deadlines are at 11:59 PM UTC-12 on the corresponding day unless otherwise noted. **\n\n\n\nYou can contact us if any questions. (Contact us: bigdatacup2021_rl4rs@service.netease.com)\n\n\nBest Regards,\n\nThe Organizers of IEEE Big Data 2021 RL4RS Challenge\n\nKai Wang, Runze Wu, Zhene Zou, Xudong Shen, Tangjie Lyu, and Changjie Fan",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1496147": "Dear Competition Participants:\n\nFirst of all, we would like to extend our sincere gratitude to all participants. Our exciting competition is coming to an end on August 31, 2021. This is a niche competition for the novel reinforcement learning based recommendation system. Special thanks should go to the participants of Track II who have put considerable patience into their submission. Next, we will start the process of the report submission.\n\nQ: Who need to submit the solutions?\nA: All participants are encouraged to submit the reports via the contact email:  bigdatacup2021_rl4rs@service.netease.com.\n\nQ: The deadline for submitting the solutions?\nA: September 5, 2021 (delayed to September 10, 2021).\n\nQ: How about Prizes?\nA: https://www.kaggle.com/c/bigdata2021-rl-recsys/overview/prizes\n\nQ: The final rank?\nA: The teams will be ranked based on their score on the private leaderboard and the completeness of the submitted report. The final results will be published online on September 12, 2021.\n\nQ: The format of reports?\nA: Your Kaggle account, email, a brief introduction of your data processing/model/network parameter/result. Source code will also be required to be submitted, either through a publicly available repository on a Git-based version control hosting service such as GitHub for the final evaluation.\nReport example: https://ttvand.github.io/Second-place-in-the-Santander-product-Recommendation-Kaggle-competition/\n\nQ: Extending report for publication in IEEE Big Data 2021 conference?\nA: We will invite authors of selected challenge reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The publications will be indexed in the same way as regular conference papers. The invited teams will be chosen based on their final rank, innovation of their approach, and quality of the submitted report.\nAn example: https://github.com/PaddlePaddle/PARL/tree/develop/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge\n\nQ: What is the full Timeline?\nA: The Timeline is:\nAugust 31, 2021: deadline for submitting the solutions,\nSeptember 10, 2021: deadline for sending the reports, end of the competition,\nSeptember 12, 2021: online publication of the final results, sending invitations for submitting papers to the associated workshop at the IEEE Big Data 2021 conference,\nOctober 10, 2021: deadline for submitting invited papers,\nOctober 25, 2021: notification of paper acceptance,\nNovember 15, 2021: camera-ready versions of accepted papers due.\n**All deadlines are at 11:59 PM UTC-12 on the corresponding day unless otherwise noted. **\n\n\n\nYou can contact us if any questions. (Contact us: bigdatacup2021_rl4rs@service.netease.com)\n\n\nBest Regards,\n\nThe Organizers of IEEE Big Data 2021 RL4RS Challenge\n\nKai Wang, Runze Wu, Zhene Zou, Xudong Shen, Tangjie Lyu, and Changjie Fan"
  }
}