{
  "total": 276,
  "topics": [
    {
      "id": 305952,
      "title": "Greetings!",
      "comment_count": 68,
      "views": 0,
      "votes": 92
    },
    {
      "id": 305976,
      "title": "New to Machine Learning or to Kaggle? Check this out.",
      "comment_count": 38,
      "views": 0,
      "votes": 55
    },
    {
      "id": 305977,
      "title": "Looking for a Team Megathread",
      "comment_count": 172,
      "views": 0,
      "votes": 25
    },
    {
      "id": 554633,
      "title": "Using the dataset to write a book on LLM integrations",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 548201,
      "title": "Outlier customers",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 521670,
      "title": "Store Front with Recommendations Playground ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 324070,
      "title": "1st place solution",
      "comment_count": 222,
      "views": 0,
      "votes": 430
    },
    {
      "id": 481140,
      "title": "I can't open transaction document.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 324205,
      "title": "46th place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 324129,
      "title": "3rd place solution",
      "comment_count": 40,
      "views": 0,
      "votes": 96
    },
    {
      "id": 324486,
      "title": "Summarize top-10 place solutions",
      "comment_count": 8,
      "views": 0,
      "votes": 52
    },
    {
      "id": 347683,
      "title": "License of the dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 308917,
      "title": "Embedding the products",
      "comment_count": 1,
      "views": 0,
      "votes": 21
    },
    {
      "id": 324152,
      "title": "Part of 22nd solution - single LGBM (Private:0.03038)",
      "comment_count": 11,
      "views": 0,
      "votes": 45
    },
    {
      "id": 324595,
      "title": "17th place solution",
      "comment_count": 10,
      "views": 0,
      "votes": 37
    },
    {
      "id": 345968,
      "title": "Evaluation: can I use the submission file as ground_truth for the train task? ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 325407,
      "title": "H&M 22th solution and code (myaun part) ",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 313781,
      "title": "Customer Age distirbution by Color and Product Category Choice ",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 309235,
      "title": "Cold Start",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 329610,
      "title": "How to do Candidate Key Generation?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 328314,
      "title": "H&M recommender system demo with Streamlit",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 324224,
      "title": "22th solution (Moro part)",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 308919,
      "title": "How To Setup Local CV",
      "comment_count": 51,
      "views": 0,
      "votes": 251
    },
    {
      "id": 324197,
      "title": "2nd place solution",
      "comment_count": 50,
      "views": 0,
      "votes": 80
    },
    {
      "id": 326665,
      "title": "Data for Target Week",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 324084,
      "title": "11th place solution",
      "comment_count": 16,
      "views": 0,
      "votes": 49
    },
    {
      "id": 324094,
      "title": "4th place solution",
      "comment_count": 12,
      "views": 0,
      "votes": 65
    },
    {
      "id": 324098,
      "title": "5th place solution",
      "comment_count": 36,
      "views": 0,
      "votes": 64
    },
    {
      "id": 324076,
      "title": "52nd place with 20 minute Kaggle Notebook",
      "comment_count": 24,
      "views": 0,
      "votes": 75
    },
    {
      "id": 326265,
      "title": "Access to images on google cloud",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 324185,
      "title": "8th place solution",
      "comment_count": 22,
      "views": 0,
      "votes": 39
    },
    {
      "id": 324127,
      "title": "9th place solution",
      "comment_count": 16,
      "views": 0,
      "votes": 50
    },
    {
      "id": 324075,
      "title": "6th place solution",
      "comment_count": 24,
      "views": 0,
      "votes": 71
    },
    {
      "id": 324278,
      "title": "6th Place - Giba's Part Solution",
      "comment_count": 12,
      "views": 0,
      "votes": 49
    },
    {
      "id": 324310,
      "title": "12th place Writeup",
      "comment_count": 9,
      "views": 0,
      "votes": 39
    },
    {
      "id": 324078,
      "title": "Personal thank yous and takeaways",
      "comment_count": 5,
      "views": 0,
      "votes": 19
    },
    {
      "id": 324411,
      "title": "30th Solution Intro and Personal Summary",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 324207,
      "title": "13th place solution",
      "comment_count": 4,
      "views": 0,
      "votes": 28
    },
    {
      "id": 324085,
      "title": "23th place solution",
      "comment_count": 4,
      "views": 0,
      "votes": 39
    },
    {
      "id": 324073,
      "title": "[To host] please check \"csci567_id*\" accounts for private sharing",
      "comment_count": 7,
      "views": 0,
      "votes": 23
    },
    {
      "id": 324158,
      "title": "16th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 28
    },
    {
      "id": 324223,
      "title": "10th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 25
    },
    {
      "id": 324118,
      "title": "A few notes...",
      "comment_count": 1,
      "views": 0,
      "votes": 28
    },
    {
      "id": 324056,
      "title": "As expected almost no shakeup at all. Congrats to all participants. What a competition!",
      "comment_count": 8,
      "views": 0,
      "votes": 30
    },
    {
      "id": 324430,
      "title": "Deleted accounts in finalized leaderboard [Done]",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 324350,
      "title": "26th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 324220,
      "title": "63th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 324494,
      "title": "A good dataset for learning & doing research in RS?",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 324103,
      "title": "Congrats and Gold Medal Solutions Compilation 🥇 ",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 324293,
      "title": "25th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 324534,
      "title": "how do you use word2vec in this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 324244,
      "title": "Leaderboard story - a snowball becoming an avalanche",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 324107,
      "title": "Congratulations (⊙﹏⊙) on Competitions KGM ",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 324438,
      "title": "The Best Rank on LB/PB Using kaggle 16GB memory Machine?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 323327,
      "title": "Why are recommendation system competitions so popular?",
      "comment_count": 11,
      "views": 0,
      "votes": 11
    },
    {
      "id": 324181,
      "title": "Thank you for helping me learn LGBMRanker models",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 324060,
      "title": "The big improve in Rule base",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 324221,
      "title": "Congratulations to all the prize winners🥇",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 324736,
      "title": "Notebooks To Get You Started!",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 323868,
      "title": "Burner accounts?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 324232,
      "title": "Some comments on data quality",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 324112,
      "title": "Some insights from scraping the H&M online shop",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 324179,
      "title": "Machine Choice and Memory Reduction Technique?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 322863,
      "title": "I like this new word: emsembling",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 324111,
      "title": "Order of Articles ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 323081,
      "title": "nasty, silent leakage...",
      "comment_count": 13,
      "views": 0,
      "votes": 12
    },
    {
      "id": 323170,
      "title": "Is ranker really better than Classifier?",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 324024,
      "title": "ERROR: Record 1 had 13 columns but expected 2",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 323952,
      "title": "Could not check whether submission is allowed.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 305998,
      "title": "💥 💥 Deep Learning Research Papers in Product Matching 💥 💥 ",
      "comment_count": 17,
      "views": 0,
      "votes": 116
    },
    {
      "id": 322680,
      "title": "Relevance of Postal Code",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 323153,
      "title": "how many Candidates are \"enough\" for reranker or ranker?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 323592,
      "title": "loading output files in kaggle?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 320476,
      "title": "k-means clustering of customers with RAPIDS",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 320719,
      "title": "Are you using postal code?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 322493,
      "title": "LGBMRanker feature importance",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 319891,
      "title": "3 week challenge | update everyday",
      "comment_count": 5,
      "views": 0,
      "votes": 18
    },
    {
      "id": 321660,
      "title": "How many recall methods are available?",
      "comment_count": 12,
      "views": 0,
      "votes": 27
    },
    {
      "id": 322322,
      "title": "How to choose negative samples",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 322365,
      "title": "How well are you prepared for Shakeup...",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 323137,
      "title": "What happend if one customer buy more than 12 articles?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 321672,
      "title": "Multiple Recall Methods---evaluation metric by GBMRanker not improving",
      "comment_count": 21,
      "views": 0,
      "votes": 18
    },
    {
      "id": 319267,
      "title": "No deep learning approach here?",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 320756,
      "title": "💥 Create 391 features in a few minutes! Multiple, customizable and scalable feature stores with kedro & featuretools.",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 322850,
      "title": "Collaborative filtering - No improvement in the prediction",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 323143,
      "title": "I want to share about GLocal-K",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 305999,
      "title": "👨‍🎓 Learning resources for Recommender systems",
      "comment_count": 11,
      "views": 0,
      "votes": 39
    },
    {
      "id": 321922,
      "title": "What is your setup/stack for this competition?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 321831,
      "title": "How to train the ranking model properly?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 321118,
      "title": "Why is the CV up but the LB down?",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 322494,
      "title": "\"recall method\" terminology",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 308635,
      "title": "Memory Trick - Reduce Memory 8x or 16x!",
      "comment_count": 42,
      "views": 0,
      "votes": 337
    },
    {
      "id": 322567,
      "title": "Private leaderboard shake up",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 322370,
      "title": "LGBMRanker - competition eval_metric",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 321780,
      "title": "Recommending the most expensive items",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 321442,
      "title": "Papers on Machine Learning + Product Recommendations? Nah, don't need 'em",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 317374,
      "title": "LGBMRanker - evaluation metric not improving",
      "comment_count": 53,
      "views": 0,
      "votes": 43
    },
    {
      "id": 316386,
      "title": "Setup Local CV – for Modeling",
      "comment_count": 25,
      "views": 0,
      "votes": 77
    },
    {
      "id": 321649,
      "title": "Why the dnn recall system cause bad result for LightgbmRanker?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 321564,
      "title": "Ranker - Positive and Negative observations",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 312654,
      "title": "RecSys 2022 challenge & this task",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 320460,
      "title": "Information from H&M website?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 321104,
      "title": "Recommendation Engine",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 320854,
      "title": "New To Prize Competition - Here For the Fun - Advice",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 316205,
      "title": "Best single model",
      "comment_count": 17,
      "views": 0,
      "votes": 29
    },
    {
      "id": 321279,
      "title": "Looking for a team",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 320656,
      "title": "Submission: Order of Customers",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 316666,
      "title": "Customers and Articles Visualization app",
      "comment_count": 8,
      "views": 0,
      "votes": 78
    },
    {
      "id": 314458,
      "title": "Care to share?",
      "comment_count": 28,
      "views": 0,
      "votes": 60
    },
    {
      "id": 320810,
      "title": "Candidates and negative samples",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 317868,
      "title": "Sampled datasets with user ratios maintained",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 318852,
      "title": "Curated papers, articles, and blogs on Recommendations by Eugene Yan",
      "comment_count": 7,
      "views": 0,
      "votes": 20
    },
    {
      "id": 320126,
      "title": "How to Score Candidate Generation",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 320617,
      "title": "Unexpected low LB score on RecBole",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 316362,
      "title": "👝 I've looked at all images so you don't have to",
      "comment_count": 12,
      "views": 0,
      "votes": 52
    },
    {
      "id": 317193,
      "title": "Issue with Pure Pytorch Baseline Notebooks",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 320194,
      "title": "Does the order of the articles per customer in the test set matter?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 320186,
      "title": "My Idea(transformer model)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 319327,
      "title": "How to evaluate generated candidates?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 310365,
      "title": "▲CV vs LB ▼",
      "comment_count": 24,
      "views": 0,
      "votes": 67
    },
    {
      "id": 309220,
      "title": "[LB 0.19] LGBM Starter Pack",
      "comment_count": 16,
      "views": 0,
      "votes": 115
    },
    {
      "id": 319432,
      "title": "[LB: 0.0069] baseline: most popular articles in the last week",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 307288,
      "title": "Addressing common questions and what the competition is really about",
      "comment_count": 78,
      "views": 0,
      "votes": 431
    },
    {
      "id": 317981,
      "title": "positive, negative sample?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 315891,
      "title": "Detailed article on the Metric used in the competition!!",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 313749,
      "title": "Single Model Traditional Machine Learning Approaches",
      "comment_count": 2,
      "views": 0,
      "votes": 48
    },
    {
      "id": 318752,
      "title": "Want to join a Team ",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 318270,
      "title": "H&M: Plan for modeling (easy stage)",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 318928,
      "title": "Clustering and feature importance notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 317768,
      "title": "Faster Apply method in CUDF",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 307001,
      "title": "Important comments from the Host",
      "comment_count": 18,
      "views": 0,
      "votes": 242
    },
    {
      "id": 317746,
      "title": "SmeLU: Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 317437,
      "title": "Metric Evaluation Code",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 306152,
      "title": "5 Reduced Resolution Image Datasets (128, 256, 384, 512, 1024) 👔👖",
      "comment_count": 21,
      "views": 0,
      "votes": 100
    },
    {
      "id": 316903,
      "title": "Recommender System using turicreate library",
      "comment_count": 0,
      "views": 0,
      "votes": 21
    },
    {
      "id": 317477,
      "title": "How do you tune the hyper parameter after adding a batch of features?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 316870,
      "title": "Tensorflow recommenders, need some help",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 314829,
      "title": "make the most of RAM/memory",
      "comment_count": 3,
      "views": 0,
      "votes": 17
    },
    {
      "id": 317109,
      "title": "Do you have some tricks for avoiding shaking in this competition？",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 317144,
      "title": "ERROR: Unexpected Column:  '' (Line 1, Column 1)",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 312653,
      "title": "Tradition approach outperforms deep learning model when data has cold-start/inactive users",
      "comment_count": 9,
      "views": 0,
      "votes": 88
    },
    {
      "id": 316164,
      "title": "Ranker is important?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 313565,
      "title": "Online vs. Stores : The difference of predictability",
      "comment_count": 14,
      "views": 0,
      "votes": 42
    },
    {
      "id": 316193,
      "title": "RAM doesn't add up?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 315843,
      "title": "Kangol Collaboration Item",
      "comment_count": 3,
      "views": 0,
      "votes": 28
    },
    {
      "id": 315571,
      "title": "Product launches and relevant articles",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 306547,
      "title": "important screenshots from Google recommendation systems course.",
      "comment_count": 3,
      "views": 0,
      "votes": 74
    },
    {
      "id": 305997,
      "title": "[Blog] Mean Average Precision for Recommender Systems",
      "comment_count": 2,
      "views": 0,
      "votes": 26
    },
    {
      "id": 310496,
      "title": "Scale of the price column",
      "comment_count": 9,
      "views": 0,
      "votes": 75
    },
    {
      "id": 315587,
      "title": "Validation for @astrung insight",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 314559,
      "title": "Non Negative Matrix Factorization for Recommendation systems",
      "comment_count": 3,
      "views": 0,
      "votes": 16
    },
    {
      "id": 312890,
      "title": "customers with no training data",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 306562,
      "title": "How to do CV on time series data?",
      "comment_count": 4,
      "views": 0,
      "votes": 18
    },
    {
      "id": 315735,
      "title": "Profiling customers",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 313725,
      "title": "Sequence matters?",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 306016,
      "title": "Data Quality Issues - Missing Transactions",
      "comment_count": 7,
      "views": 0,
      "votes": 24
    },
    {
      "id": 314035,
      "title": "Same Transaction with Different Prices or Channels",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 315054,
      "title": "Questions about the dataset",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 314192,
      "title": "Is the prediction time same for all the customer or different for each customer?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 314448,
      "title": "Best unpersonalized recommendation",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 313932,
      "title": "Sites items position bias",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 314747,
      "title": "Question on training data",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 313926,
      "title": "Sample Submission File",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 314657,
      "title": "same product different article id ",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 313967,
      "title": "How to use the images?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 314462,
      "title": "How to cross-validate properly? Should I take date into account?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 313927,
      "title": "Most to Least Common Clothing Article Features",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 313942,
      "title": "Product discounts",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 305986,
      "title": "1% on public LB - is this a record? ",
      "comment_count": 11,
      "views": 0,
      "votes": 48
    },
    {
      "id": 314511,
      "title": "Serve top 12 recommendations or only serve above a certain threshold?",
      "comment_count": 5,
      "views": 0,
      "votes": -2
    },
    {
      "id": 314423,
      "title": "Columns' explanations",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 314341,
      "title": "Just Looking at these clothes pictures.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 313480,
      "title": "What is the significance of Sales Channel ID column in transactions_train.csv?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 308555,
      "title": "How to get customer's \"sex\" feature",
      "comment_count": 9,
      "views": 0,
      "votes": 45
    },
    {
      "id": 311747,
      "title": "Feature Engineering Tricks | Thanks GM Chris and Giba",
      "comment_count": 9,
      "views": 0,
      "votes": 73
    },
    {
      "id": 313145,
      "title": "scikit for recommendation systems",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 313018,
      "title": "Getting memory error when trying to merge transactions and articles dataframe. Can someone please help!",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 312117,
      "title": "✍✔📈📚 Top Evaluation Metrics for Reference 💥🎯💢",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 312818,
      "title": "I convert customer_id from object to int32, and why the file capacity is larger?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 311933,
      "title": "Recap of the Top Solutions from a Similar Competition (Shopee)",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 313103,
      "title": "Weaviate + Jina AI Demonstration for H&M Personalized Fashion Recommendations",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 312755,
      "title": "Public = 1% of all data?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 312064,
      "title": "be careful about the type of 'article_id'",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 312292,
      "title": "Customers that buy an article more than once and evaluation metric MAP@12",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 306380,
      "title": "What does \"7-day period immediately after the training data ends\" exactly mean?",
      "comment_count": 8,
      "views": 0,
      "votes": 43
    },
    {
      "id": 310867,
      "title": "Taking into account if a product is still available",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 310363,
      "title": "Evaluation Criteria",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 309718,
      "title": "Understanding the customers.csv dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 311673,
      "title": "Is it possible that a customer has 0 article in the submission?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 309152,
      "title": "Doubts in the error metric",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 311855,
      "title": "Historical tabular competition with image metadata",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 311181,
      "title": "Understand individual customer by micro-EDA",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 311766,
      "title": "Prediction Output format",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 306007,
      "title": "[Resolved] Question regarding evaluation metric",
      "comment_count": 24,
      "views": 0,
      "votes": 34
    },
    {
      "id": 306946,
      "title": "Don't get yourself fooled. This is not similarity problem.",
      "comment_count": 16,
      "views": 0,
      "votes": 66
    },
    {
      "id": 306057,
      "title": "Quick tip: dropped zero values in article id",
      "comment_count": 7,
      "views": 0,
      "votes": 116
    },
    {
      "id": 311134,
      "title": "Collaborative filter",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 311222,
      "title": "Listing Price of products",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 310144,
      "title": "How far can you get with simple heuristics ?",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 310874,
      "title": "Customers who are buying multiples of the same item",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 310726,
      "title": "Dataset location",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 308974,
      "title": "The reason for price banding pattern ",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 306669,
      "title": "Do we need to think about \"Recommendetion\"?",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 309020,
      "title": "Be careful! Returns are not excluded from the data!",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 310081,
      "title": "What is \"Divided\" in \"index_name\" of \"customers.csv\"?",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 310426,
      "title": "customer Gender",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 309550,
      "title": "TorchRec: PyTorch for Recommendation Systems! ",
      "comment_count": 0,
      "views": 0,
      "votes": 32
    },
    {
      "id": 309331,
      "title": "Anyone know how the \"Price\" column has been scaled?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 309994,
      "title": "How to read the data quickly and not re-read again in new session?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 309789,
      "title": "Get \"gender\" feature in your analysis",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 308931,
      "title": "effective way for postal_code encoding method",
      "comment_count": 3,
      "views": 0,
      "votes": 21
    },
    {
      "id": 308795,
      "title": "What's the logic behind recommending the same articles",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 309442,
      "title": "ML recommendation paper",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 309344,
      "title": "Kaggle Competitions - Fairness",
      "comment_count": 4,
      "views": 0,
      "votes": -3
    },
    {
      "id": 309467,
      "title": "Sample submission customers and training set customers",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 309289,
      "title": "What does \"sales_channel_id\" mean in transaction?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 307409,
      "title": "Is there anyone like me who wanna get the transaction table indicating the index of customer_id?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 307517,
      "title": "Why last items and the most popular items are better then ALS?",
      "comment_count": 7,
      "views": 0,
      "votes": 21
    },
    {
      "id": 308990,
      "title": "implementation of the evluation metric",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 306803,
      "title": "Reinforcement learning vs Supervised",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 308810,
      "title": "Best way to sample - Model construction",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 307041,
      "title": "Competition metric (MAP) code",
      "comment_count": 4,
      "views": 0,
      "votes": 32
    },
    {
      "id": 309093,
      "title": "Dealing with Datasize.",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 307048,
      "title": "🔥 Projector Visualisation Of Clothing Images + Product name",
      "comment_count": 4,
      "views": 0,
      "votes": 26
    },
    {
      "id": 308316,
      "title": "Youtube Videos and Blogs on Recommendation System",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 308751,
      "title": "visualize prediction article",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 307828,
      "title": "Competition Metric - in English",
      "comment_count": 9,
      "views": 0,
      "votes": 16
    },
    {
      "id": 309007,
      "title": "Is this data only about the online shop or not ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 308423,
      "title": "Is PySpark better tool for this dataset size ?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 307169,
      "title": "Variational Autoencoder with Pytorch",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 308449,
      "title": "How do we use images in this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 306572,
      "title": "Merged Data in parquet format",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 307848,
      "title": "What should be my approach?",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 305990,
      "title": "Shopee - Price Match Guarantee Solutions",
      "comment_count": 3,
      "views": 0,
      "votes": 38
    },
    {
      "id": 308410,
      "title": "How to load the data?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 307713,
      "title": "Similar Kaggle competition launched 6 years ago (Coupon Purchase Prediction) ",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 308402,
      "title": "Question about a zero-target prediction approach",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 306588,
      "title": "Recommendations? Or more than that...",
      "comment_count": 6,
      "views": 0,
      "votes": 18
    },
    {
      "id": 306858,
      "title": "Know Your Customer Before Recommending 👀✔️❌",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 307202,
      "title": "Users that bought more than 12 items during the test period",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 306793,
      "title": "What (techniques/methods) won't work on this Kaggle Competition? And what works?",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 307153,
      "title": "Recommender systems - Evaluation hell",
      "comment_count": 0,
      "views": 0,
      "votes": 38
    },
    {
      "id": 307390,
      "title": "Data misleading: For finding image of article_id, let change article_id from \"number\" to \"string\" type when reading dataframe",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 308355,
      "title": "MAP@k Evaluation Metric ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 307536,
      "title": "Elementary questions about scoring!!!",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 307463,
      "title": "Looking for a team mate ",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 306481,
      "title": "FN feature meaning? 👀",
      "comment_count": 6,
      "views": 0,
      "votes": 23
    },
    {
      "id": 307404,
      "title": "I have a question about the publication of the thesis.",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 307507,
      "title": "Is there a relationship between 'FN' and 'fashion_news_frequency'?? EX: if 'FN' = 1  'fashion_news_frequency' cannot be 'None'? Or any relation between 'FN', 'ACTIVE' and 'fashion_news_frequency'?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 307022,
      "title": "Patterns in Missing Data for Customers",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 307596,
      "title": "Adding subtitles to your images. Watch (read) and Learn with those Professionals.",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 307133,
      "title": "department_name == Clean Lingerie",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 307123,
      "title": "Will duplicated articles for same user benefit the submission?  No",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 306537,
      "title": "Not a Code Competition?",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 306860,
      "title": "Evaluation metrics and map@K",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 306861,
      "title": "Could score value (MAP) be greater than 1??",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 306488,
      "title": "Huge num of customers with one postal code",
      "comment_count": 3,
      "views": 0,
      "votes": 21
    },
    {
      "id": 306078,
      "title": "👗👚Some nice Fashion recommendation resources for this competition🥼👝🛍",
      "comment_count": 2,
      "views": 0,
      "votes": 33
    },
    {
      "id": 306558,
      "title": "any idea to split the train dataset for validating the model?",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 305980,
      "title": "Similar competition launched last year ",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 306000,
      "title": "⭐️ Interesting information about AI in H&M ⭐️",
      "comment_count": 4,
      "views": 0,
      "votes": 27
    },
    {
      "id": 306870,
      "title": "Is price is the price of an article or the customer has spend amount on that article??  ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 306579,
      "title": "The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 307064,
      "title": "Extended Article.csv - Added file path to each article",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 306854,
      "title": "Why no negative samples?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 306720,
      "title": "Should we use the image data? if So how should we use it?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 306773,
      "title": "Customer behaviour free of \"front page\"/promotions effect? ",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 306570,
      "title": "There are 4 Recommendation papers in NeurIPS 2021 | Abstracts and links",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 306385,
      "title": "With or without repeat purchases?",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 306486,
      "title": "External Data Disclosure Thread",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 306069,
      "title": "Sharing - Session-based Recommendation with Multi-Modal Features ",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 306425,
      "title": "Is it OK to use H&M store location data (externally sourced)?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 306386,
      "title": "Mutual-information-guided linguistic annotation of neurons(MILAN)",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 306489,
      "title": "What do you mean you don't know how to analyze it?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 306583,
      "title": "Feature Meanings",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 306027,
      "title": "Good by CSV & Welcome Pacquet, Pickle, Feather",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    }
  ],
  "errors": []
}