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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Liwei Wu",
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  "author": "Y. Hu",
            
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.1905.10630",
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  "defined_in": "",
            
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  "doi": "10.57702/ic6i5zk1",
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  "doi": "10.57702/ic6i5zk1",
            
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  "doi_date_published": "2024-11-25",
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  "doi_date_published": "2024-11-25",
            
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  "doi_publisher": "TIB",
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Shuqing Li",
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      "extra_author": "Y. Koren",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Cho-Jui Hsieh",
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      "extra_author": "C. Volinsky",
            
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      "orcid": ""

            
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    },

            
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    {

            
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      "extra_author": "James Sharpnack",

            
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      "orcid": ""
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    }
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    }
            
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  ],
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      "description": "",
            
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  "name": "movielens10m",
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  "name": "movielens10m",
            
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  "notes": "Movielens10m is a larger version of the Movielens datasets 
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  "notes": "The MovieLens10M dataset is a classic movie rating 
            
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that includes explicit movie ratings and was utilized to evaluate 
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dataset, whose ratings range from 0.5 to 5.",
            
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recommendation techniques.",

            
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      "id": "c42bd9e9-0c41-4753-bf2c-8f415dccaeb8",

            
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  "state": "active",

            
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  "tags": [],

            
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  "title": "Movielens10m",
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  "type": "dataset",
            
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  "version": ""
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}
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}