Hi! I found some learning materials on recommender system.
\nI hope they are useful to you. I will keep this list updated as I learn through this competition.
Thanks to the authors and creators of these contents.
", "messages": [ { "id": "2041889", "postDate": "11/24/2022 09:23:03", "content": "Hi! I found some learning materials on recommender system.
\nI hope they are useful to you. I will keep this list updated as I learn through this competition.
Thanks to the authors and creators of these contents.
", "rawMarkdown": "Hi! I found some learning materials on recommender system. \nI hope they are useful to you. I will keep this list updated as I learn through this competition.\n- [Grandmaster Series – How to Build a Winning Deep Learning Recommender System, E5](https://www.youtube.com/watch?v=bHuww-l_Sq0&list=PL5B692fm6--uXbxtmPJz5nu3Xmc1JUm3F&index=1)\n- [Nvidia Blog How to Build a Winning Recommendation System, Part 1](https://developer.nvidia.com/blog/how-to-build-a-winning-recommendation-system-part-1/)\n- [Nvidia Blog How to Build a Deep Learning Powered Recommender System, Part 2](https://developer.nvidia.com/blog/how-to-build-a-winning-recommendation-system-part-2-deep-learning-for-recommender-systems/)\n- [Nvidia Blog How to Build a Winning Deep Learning Powered Recommender System-Part 3](https://developer.nvidia.com/blog/how-to-build-a-winning-deep-learning-powered-recommender-system-part-3/)\n- [Maciej Kula | Neural Networks for Recommender Systems](https://www.youtube.com/watch?v=ZkBQ6YA9E40)\n- [Neural Collaborative Filtering](https://arxiv.org/abs/1708.05031)\n- [Wide & Deep Learning for Recommender Systems](https://arxiv.org/abs/1606.07792)\n- [Deep Neural Networks for YouTube Recommendations](https://research.google/pubs/pub45530/)\n- [Behavior Sequence Transformer for E-commerce Recommendation in Alibaba](https://arxiv.org/abs/1905.06874)\n\nThanks to the authors and creators of these contents.", "votes": null }, { "id": "2084469", "postDate": "01/03/2023 14:17:52", "content": "@electro thanks for great collection
", "rawMarkdown": "electro thanks for great collection", "votes": null } ], "comments": [ { "id": 2084469, "author_name": "naiku007", "author_url": "", "post_date": "01/03/2023 14:17:52", "content": "@electro thanks for great collection
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2041889": "Hi! I found some learning materials on recommender system. \nI hope they are useful to you. I will keep this list updated as I learn through this competition.\n- [Grandmaster Series – How to Build a Winning Deep Learning Recommender System, E5](https://www.youtube.com/watch?v=bHuww-l_Sq0&list=PL5B692fm6--uXbxtmPJz5nu3Xmc1JUm3F&index=1)\n- [Nvidia Blog How to Build a Winning Recommendation System, Part 1](https://developer.nvidia.com/blog/how-to-build-a-winning-recommendation-system-part-1/)\n- [Nvidia Blog How to Build a Deep Learning Powered Recommender System, Part 2](https://developer.nvidia.com/blog/how-to-build-a-winning-recommendation-system-part-2-deep-learning-for-recommender-systems/)\n- [Nvidia Blog How to Build a Winning Deep Learning Powered Recommender System-Part 3](https://developer.nvidia.com/blog/how-to-build-a-winning-deep-learning-powered-recommender-system-part-3/)\n- [Maciej Kula | Neural Networks for Recommender Systems](https://www.youtube.com/watch?v=ZkBQ6YA9E40)\n- [Neural Collaborative Filtering](https://arxiv.org/abs/1708.05031)\n- [Wide & Deep Learning for Recommender Systems](https://arxiv.org/abs/1606.07792)\n- [Deep Neural Networks for YouTube Recommendations](https://research.google/pubs/pub45530/)\n- [Behavior Sequence Transformer for E-commerce Recommendation in Alibaba](https://arxiv.org/abs/1905.06874)\n\nThanks to the authors and creators of these contents.", "2084469": "electro thanks for great collection" }, "source": "meta" }