{ "id": 329610, "title": "How to do Candidate Key Generation?", "url": "/competitions/h-and-m-personalized-fashion-recommendations/discussion/329610", "author_name": "", "post_date": "2022-06-07T16:25:40.339808900Z", "votes": 1, "comment_count": 1, "views": 0, "content": "

I am new to Recommdation System and ML
\nMost solution have two strategies Candidate key generation and Ranking
\nHow to we get started with this if anyone can provide guide or topics to read it will be really helpful

", "messages": [ { "id": "1814229", "postDate": "06/07/2022 16:25:40", "content": "

I am new to Recommdation System and ML
\nMost solution have two strategies Candidate key generation and Ranking
\nHow to we get started with this if anyone can provide guide or topics to read it will be really helpful

", "rawMarkdown": "I am new to Recommdation System and ML\nMost solution have two strategies Candidate key generation and Ranking\nHow to we get started with this if anyone can provide guide or topics to read it will be really helpful", "votes": null }, { "id": "1826177", "postDate": "06/20/2022 05:58:31", "content": "

Here is an interest notebook that i found when I was trying to understand the same in recommendation system.
\nThis example user Tenserflow Recommendation library to find candidate and ranking.

\n

Hope this is helpfull 🙂

", "rawMarkdown": "Here is an interest [notebook](https://notebooks.githubusercontent.com/view/ipynb?browser=chrome&color_mode=auto&commit=2255d71d8436b26aa5e043c05dc37c55474e926f&device=unknown&enc_url=68747470733a2f2f7261772e67697468756275736572636f6e74656e742e636f6d2f7865692f7265636f6d6d656e6465722d73797374656d2d7475746f7269616c2f323235356437316438343336623236616135653034336330356463333763353534373465393236662f7265636f6d6d656e6465725f73797374656d5f7475746f7269616c2e6970796e62&logged_in=false&nwo=xei%2Frecommender-system-tutorial&path=recommender_system_tutorial.ipynb&platform=android&repository_id=308630361&repository_type=Repository&version=98) that i found when I was trying to understand the same in recommendation system.\nThis example user Tenserflow Recommendation library to find candidate and ranking.\n\nHope this is helpfull 🙂", "votes": null } ], "comments": [ { "id": 1826177, "author_name": "smithaupadhyaya", "author_url": "", "post_date": "06/20/2022 05:58:31", "content": "

Here is an interest notebook that i found when I was trying to understand the same in recommendation system.
\nThis example user Tenserflow Recommendation library to find candidate and ranking.

\n

Hope this is helpfull 🙂

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1814229": "I am new to Recommdation System and ML\nMost solution have two strategies Candidate key generation and Ranking\nHow to we get started with this if anyone can provide guide or topics to read it will be really helpful", "1826177": "Here is an interest [notebook](https://notebooks.githubusercontent.com/view/ipynb?browser=chrome&color_mode=auto&commit=2255d71d8436b26aa5e043c05dc37c55474e926f&device=unknown&enc_url=68747470733a2f2f7261772e67697468756275736572636f6e74656e742e636f6d2f7865692f7265636f6d6d656e6465722d73797374656d2d7475746f7269616c2f323235356437316438343336623236616135653034336330356463333763353534373465393236662f7265636f6d6d656e6465725f73797374656d5f7475746f7269616c2e6970796e62&logged_in=false&nwo=xei%2Frecommender-system-tutorial&path=recommender_system_tutorial.ipynb&platform=android&repository_id=308630361&repository_type=Repository&version=98) that i found when I was trying to understand the same in recommendation system.\nThis example user Tenserflow Recommendation library to find candidate and ranking.\n\nHope this is helpfull 🙂" }, "source": "meta" }