Changes

On December 3, 2024 at 10:55:00 AM UTC, admin:

Changed title to Movielens1M (previously Movielens1m)

Set author of Movielens1M to Giovanni Gabbolini (previously Liwei Wu)

Updated description of Movielens1M from
Movielens1m is a dataset containing movie ratings used for recommendation tasks, where graphs were constructed based on actors and actresses starring in the movies.
to
The dataset used in the paper is a collection of implicit interactions gathered from various sources, including music websites, movie ratings, book clubs, social networks, and online communities.

Added the following tags to Movielens1M

Changed value of field defined_in to https://doi.org/10.48550/arXiv.2104.05796 in Movielens1M

Changed value of field extra_authors to [{'extra_author': 'Edoardo D’Amico', 'orcid': ''}, {'extra_author': 'Cesare Bernardis', 'orcid': ''}, {'extra_author': 'Paolo Cremonesi', 'orcid': ''}] in Movielens1M

Changed value of field landing_page to http://movielens.org/dataset/movielens-1m/ in Movielens1M

Deleted resource Original Metadata from Movielens1M

              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Liwei Wu", n 3   "author": "Giovanni Gabbolini",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [], 5   "citation": [],
            6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 6   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 7   "defined_in": "https://doi.org/10.48550/arXiv.1905.10630", n 7   "defined_in": "https://doi.org/10.48550/arXiv.2104.05796",
            8   "doi": "10.57702/0x1ro3xz", 8   "doi": "10.57702/0x1ro3xz",
            9   "doi_date_published": "2024-11-25", 9   "doi_date_published": "2024-11-25",
            10   "doi_publisher": "TIB", 10   "doi_publisher": "TIB",
            11   "doi_status": true, 11   "doi_status": true,
            12   "domain": "https://service.tib.eu/ldmservice", 12   "domain": "https://service.tib.eu/ldmservice",
            13   "extra_authors": [ 13   "extra_authors": [
            14     { 14     {
            n 15       "extra_author": "Shuqing Li", n 15       "extra_author": "Edoardo D\u2019Amico",
            16       "orcid": "" 16       "orcid": ""
            17     }, 17     },
            18     { 18     {
            n 19       "extra_author": "Cho-Jui Hsieh", n 19       "extra_author": "Cesare Bernardis",
            20       "orcid": "" 20       "orcid": ""
            21     }, 21     },
            22     { 22     {
            n 23       "extra_author": "James Sharpnack", n 23       "extra_author": "Paolo Cremonesi",
            24       "orcid": "" 24       "orcid": ""
            25     } 25     }
            26   ], 26   ],
            n 27   "groups": [], n 27   "groups": [
            28     {
            29       "description": "",
            30       "display_name": "Recommender Systems",
            31       "id": "49df3b92-95cb-4ebe-bbfc-7a8513caa324",
            32       "image_display_url": "",
            33       "name": "recommender-systems",
            34       "title": "Recommender Systems"
            35     }
            36   ],
            28   "id": "5d47a8c5-d027-466e-bf0c-e6fac72ba98e", 37   "id": "5d47a8c5-d027-466e-bf0c-e6fac72ba98e",
            29   "isopen": false, 38   "isopen": false,
            n 30   "landing_page": "", n 39   "landing_page": "http://movielens.org/dataset/movielens-1m/",
            31   "license_title": null, 40   "license_title": null,
            32   "link_orkg": "", 41   "link_orkg": "",
            33   "metadata_created": "2024-11-25T14:43:10.215830", 42   "metadata_created": "2024-11-25T14:43:10.215830",
            n 34   "metadata_modified": "2024-11-25T14:43:10.575770", n 43   "metadata_modified": "2024-12-03T10:54:59.404475",
            35   "name": "movielens1m", 44   "name": "movielens1m",
            n 36   "notes": "Movielens1m is a dataset containing movie ratings used for  n 45   "notes": "The dataset used in the paper is a collection of implicit 
            37 recommendation tasks, where graphs were constructed based on actors  46 interactions gathered from various sources, including music websites, 
            38 and actresses starring in the movies.", 47 movie ratings, book clubs, social networks, and online communities.",
            39   "num_resources": 1, 48   "num_resources": 0,
            40   "num_tags": 0, 49   "num_tags": 3,
            41   "organization": { 50   "organization": {
            42     "approval_status": "approved", 51     "approval_status": "approved",
            43     "created": "2024-11-25T12:11:38.292601", 52     "created": "2024-11-25T12:11:38.292601",
            44     "description": "", 53     "description": "",
            45     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 54     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            46     "image_url": "", 55     "image_url": "",
            47     "is_organization": true, 56     "is_organization": true,
            48     "name": "no-organization", 57     "name": "no-organization",
            49     "state": "active", 58     "state": "active",
            50     "title": "No Organization", 59     "title": "No Organization",
            51     "type": "organization" 60     "type": "organization"
            52   }, 61   },
            53   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 62   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            54   "private": false, 63   "private": false,
            55   "relationships_as_object": [], 64   "relationships_as_object": [],
            56   "relationships_as_subject": [], 65   "relationships_as_subject": [],
            n 57   "resources": [ n 66   "resources": [],
            67   "services_used_list": "",
            68   "state": "active",
            69   "tags": [
            58     { 70     {
            n 59       "cache_last_updated": null, n 71       "display_name": "Implicit Feedback",
            60       "cache_url": null, 72       "id": "e852ebd9-1061-4911-93e1-fae2feb9db45",
            61       "created": "2024-11-25T15:30:26", 73       "name": "Implicit Feedback",
            62       "data": [ 
            63         "dcterms:title", 
            64         "dcterms:accessRights", 
            65         "dcterms:creator", 
            66         "dcterms:description", 
            67         "dcterms:issued", 
            68         "dcterms:language", 
            69         "dcterms:identifier", 
            70         "dcat:theme", 
            71         "dcterms:type", 
            72         "dcat:keyword", 
            73         "dcat:landingPage", 
            74         "dcterms:hasVersion", 
            75         "dcterms:format", 
            76         "mls:task", 
            77         "datacite:isDescribedBy" 
            78       ], 
            79       "description": "The json representation of the dataset with its  
            80 distributions based on DCAT.", 
            81       "format": "JSON", 
            82       "hash": "", 
            83       "id": "365daf5b-ecb2-4d0f-b1b8-94816d4f3cc1", 
            84       "last_modified": "2024-11-25T14:43:10.568838", 
            85       "metadata_modified": "2024-11-25T14:43:10.578994", 
            86       "mimetype": "application/json", 
            87       "mimetype_inner": null, 
            88       "name": "Original Metadata", 
            89       "package_id": "5d47a8c5-d027-466e-bf0c-e6fac72ba98e", 
            90       "position": 0, 
            91       "resource_type": null, 
            92       "size": 753, 
            93       "state": "active", 74       "state": "active",
            n 94       "url":  n 75       "vocabulary_id": null
            95 resource/365daf5b-ecb2-4d0f-b1b8-94816d4f3cc1/download/metadata.json", 76     },
            96       "url_type": "upload" 77     {
            78       "display_name": "Movie Ratings",
            79       "id": "b5815d9d-70ba-4474-b5db-cba77e7db3bc",
            80       "name": "Movie Ratings",
            81       "state": "active",
            82       "vocabulary_id": null
            83     },
            84     {
            85       "display_name": "Recommender Systems",
            86       "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed",
            87       "name": "Recommender Systems",
            88       "state": "active",
            89       "vocabulary_id": null
            97     } 90     }
            98   ], 91   ],
            t 99   "services_used_list": "", t 
            100   "state": "active", 
            101   "tags": [], 
            102   "title": "Movielens1m", 92   "title": "Movielens1M",
            103   "type": "dataset", 93   "type": "dataset",
            104   "version": "" 94   "version": ""
            105 } 95 }