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  "access_rights": "",
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  "author": "Amazon",
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  "author": "Amazon",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.1145/3534678.3539392",
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    "https://doi.org/10.1145/3534678.3539392",
            
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    "https://doi.org/10.48550/arXiv.1701.04783",
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    "https://doi.org/10.48550/arXiv.1701.04783",
            
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    "https://doi.org/10.48550/arXiv.1808.04866",
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    "https://doi.org/10.48550/arXiv.1808.04866",
            
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    "https://doi.org/10.48550/arXiv.2107.13876",
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    "https://doi.org/10.48550/arXiv.2107.13876",
            
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    "https://doi.org/10.48550/arXiv.1810.07091",
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    "https://doi.org/10.48550/arXiv.1810.07091",
            
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    "https://doi.org/10.48550/arXiv.1911.10699",
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    "https://doi.org/10.48550/arXiv.1911.10699",
            
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    "https://doi.org/10.48550/arXiv.2109.07704",
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    "https://doi.org/10.48550/arXiv.2109.07704",
            
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    "https://doi.org/10.48550/arXiv.1905.10881",
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    "https://doi.org/10.48550/arXiv.1905.10881",
            
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    "https://doi.org/10.1145/3109859.3109882",
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    "https://doi.org/10.1145/3109859.3109882",
            
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    "https://doi.org/10.48550/arXiv.1808.09781"
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    "https://doi.org/10.48550/arXiv.1808.09781"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.1611.06668",
            
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  "doi": "10.57702/041adxuj",
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  "doi": "10.57702/041adxuj",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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      "name": "book-rating",
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      "name": "book-rating",
            
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      "title": "Book Rating"
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      "title": "Book Rating"
            
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      "description": "",
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      "display_name": "Product Reviews",
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      "name": "product-reviews",
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      "name": "recommendation-systems",
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      "name": "recommendation-systems",
            
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      "title": "Recommendation Systems"
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      "title": "Recommendation Systems"
            
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      "display_name": "Recommender Systems",
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      "name": "recommender-systems",
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      "name": "recommender-systems",
            
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      "title": "Recommender Systems"
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      "title": "Recommender Systems"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Text Classification",
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      "display_name": "Text Classification",
            
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      "id": "0707d099-de73-41dc-85f6-93e4efa6bf14",
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      "id": "0707d099-de73-41dc-85f6-93e4efa6bf14",
            
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      "image_display_url": "",
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      "image_display_url": "",
            
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      "name": "text-classification",
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      "name": "text-classification",
            
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      "title": "Text Classification"
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      "title": "Text Classification"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "bd7243cc-e334-414c-9364-d07549610ae0",
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  "id": "bd7243cc-e334-414c-9364-d07549610ae0",
            
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://www.amazon.com/",
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  "landing_page": "https://www.amazon.com/",
            
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  "license_title": null,
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  "license_title": null,
            
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  "link_orkg": "",
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  "link_orkg": "",
            
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  "metadata_created": "2024-11-25T14:42:37.498035",
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  "metadata_created": "2024-11-25T14:42:37.498035",
            
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  "metadata_modified": "2024-12-02T22:27:08.568231",
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  "metadata_modified": "2024-12-02T22:27:09.906660",
            
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  "name": "amazon",
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  "name": "amazon",
            
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  "notes": "The dataset used in the paper is a series of datasets 
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  "notes": "The dataset used in the paper is a series of datasets 
            
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introduced in [46], comprising large corpora of product reviews 
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introduced in [46], comprising large corpora of product reviews 
            
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crawled from Amazon.com. Top-level product categories on Amazon are 
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crawled from Amazon.com. Top-level product categories on Amazon are 
            
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treated as separate datasets. We consider two categories, 
93
treated as separate datasets. We consider two categories, 
            
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\u2018Beauty,\u2019 and \u2018Games.\u2019 This dataset is notable for 
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\u2018Beauty,\u2019 and \u2018Games.\u2019 This dataset is notable for 
            
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its high sparsity and variability.",
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its high sparsity and variability.",
            
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    "approval_status": "approved",
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "id": "7e785167-eec8-4f05-ab1f-6553385760d4",
            
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      "name": "clothing",
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      "name": "implicit feedback",
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      "name": "jewelry",
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  ],
            
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  "title": "Amazon",
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  "title": "Amazon",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}