{ "data_id": "43366", "name": "Amazon---Ratings-(Beauty-Products)", "exact_name": "Amazon---Ratings-(Beauty-Products)", "version": 1, "version_label": "v1.0", "description": "Context\nAmazon.com is one of the largest electronic commerce and cloud computing companies.\nJust a few Amazon related facts\n\nThey lost 4.8 million in August 2013, when their website went down for 40 mins.\nThey hold the patent on 1-Click buying, and licenses it to Apple.\nTheir Phoenix fulfilment centre is a massive 1.2 million square feet.\n\nAmazon relies heavily on a Recommendation engine that reviews customer ratings and purchase history to recommend items and improve sales. \nContent\nThis is a dataset related to over 2 Million customer reviews and ratings of Beauty related products sold on their website.\nIt contains \n\nthe unique UserId (Customer Identification), \nthe product ASIN (Amazon's unique product identification code for each product), \nRatings (ranging from 1-5 based on customer satisfaction) and \nthe Timestamp of the rating (in UNIX time)\n\nAcknowledgements\nA description of the entire Amazon products dataset.\nThis dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014.\nThis dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed\/also bought graphs). \nFor the complete dataset check out Amazon Product Data\nInspiration\nCan a good Recommendation engine be created from this minimal dataset?\nGive it a try!\nIf you have got any more cool Amazon facts, dataset or queries, just drop a comment.", "format": "arff", "uploader": "Onur Yildirim", "uploader_id": 30126, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 12:41:31", "update_comment": null, "last_update": "2022-03-23 12:41:31", "licence": "CC0: Public Domain", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102191\/dataset", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Amazon---Ratings-(Beauty-Products)", "Context Amazon.com is one of the largest electronic commerce and cloud computing companies. Just a few Amazon related facts They lost 4.8 million in August 2013, when their website went down for 40 mins. They hold the patent on 1-Click buying, and licenses it to Apple. Their Phoenix fulfilment centre is a massive 1.2 million square feet. Amazon relies heavily on a Recommendation engine that reviews customer ratings and purchase history to recommend items and improve sales. Content This is a data " ], "weight": 5 }, "qualities": { "NumberOfInstances": 2023070, "NumberOfFeatures": 4, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 2, "NumberOfSymbolicFeatures": 0, "Dimensionality": 1.9771930778470343e-6, "PercentageOfNumericFeatures": 50, "MajorityClassPercentage": null, "PercentageOfSymbolicFeatures": 0, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "AutoCorrelation": null, "PercentageOfMissingValues": 0 }, "tags": [ { "uploader": "38960", "tag": "Computer Systems" }, { "uploader": "38960", "tag": "Machine Learning" } ], "features": [ { "name": "UserId", "index": "0", "type": "string", "distinct": "1210271", "missing": "0" }, { "name": "ProductId", "index": "1", "type": "string", "distinct": "249274", "missing": "0" }, { "name": "Rating", "index": "2", "type": "numeric", "distinct": "5", "missing": "0", "min": "1", "max": "5", "mean": "4", "stdev": "1" }, { "name": "Timestamp", "index": "3", "type": "numeric", "distinct": "4231", "missing": "0", "min": "908755200", "max": "1406073600", "mean": "1360388737", "stdev": "46118604" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }