Changes

On December 2, 2024 at 11:23:59 PM UTC, admin:
Changed title to MovieLens dataset (previously MovieLens Dataset)
Set author of MovieLens dataset to Yikun Ban (previously Gemma E. Moran)
Updated description of MovieLens dataset from
The MovieLens dataset is a widely-used benchmark dataset for research in recommender systems. It contains 10 million ratings (from 0 to 5) and 100,000 tag applications applied to 10,000 movies by 72,000 users. To preprocess the dataset, we choose the best K ∈ {20, 50, 100} movies for consideration. At each time t, one random user visits the website and is recommended one of the best K movies. We assume that the user will click on the recommended movie if and only if the user’s rating of this movie is at least 3.
to
The MovieLens dataset contains questions answerable using Wikidata as the knowledge graph, focusing on questions with a single entity and relation.
Removed the following tags from MovieLens dataset
Added the following tags to MovieLens dataset
Changed value of field defined_in to https://doi.org/10.48550/arXiv.2405.00554 in MovieLens dataset
Changed value of field extra_authors to [{'extra_author': 'Yuchen Yan', 'orcid': ''}, {'extra_author': 'Arindam Banerjee', 'orcid': ''}, {'extra_author': 'Jingrui He', 'orcid': ''}] in MovieLens dataset
Changed value of field citation to ['https://doi.org/10.48550/arXiv.2110.03177', 'https://doi.org/10.48550/arXiv.2305.03784', 'https://doi.org/10.48550/arXiv.2006.01034', 'https://doi.org/10.48550/arXiv.2209.00447', 'https://doi.org/10.48550/arXiv.2212.07177', 'https://doi.org/10.48550/arXiv.2102.08327'] in MovieLens dataset
Changed value of field landing_page to https://www.grouplens.org/datasets/movielens/ in MovieLens dataset
Deleted resource Original Metadata from MovieLens dataset
              
    
          
          
        
        
            f 1 { f 1 {
            2   "access_rights": "", 2   "access_rights": "",
            n 3   "author": "Gemma E. Moran", n 3   "author": "Yikun Ban",
            4   "author_email": "", 4   "author_email": "",
            5   "citation": [ 5   "citation": [
            n n 6     "https://doi.org/10.48550/arXiv.2110.03177",
            6     "https://doi.org/10.48550/arXiv.2405.15200", 7     "https://doi.org/10.48550/arXiv.2305.03784",
            7     "https://doi.org/10.1109/TSP.2021.3109375" 8     "https://doi.org/10.48550/arXiv.2006.01034",
            9     "https://doi.org/10.48550/arXiv.2209.00447",
            10     "https://doi.org/10.48550/arXiv.2212.07177",
            11     "https://doi.org/10.48550/arXiv.2102.08327"
            8   ], 12   ],
            9   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", 13   "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            n 10   "defined_in": "https://doi.org/10.48550/arXiv.2110.10804", n 14   "defined_in": "https://doi.org/10.48550/arXiv.2405.00554",
            11   "doi": "10.57702/d7sil3ez", 15   "doi": "10.57702/d7sil3ez",
            12   "doi_date_published": "2024-12-02", 16   "doi_date_published": "2024-12-02",
            13   "doi_publisher": "TIB", 17   "doi_publisher": "TIB",
            14   "doi_status": true, 18   "doi_status": true,
            15   "domain": "https://service.tib.eu/ldmservice", 19   "domain": "https://service.tib.eu/ldmservice",
            16   "extra_authors": [ 20   "extra_authors": [
            17     { 21     {
            n 18       "extra_author": "Dhanya Sridhar", n 22       "extra_author": "Yuchen Yan",
            19       "orcid": "" 23       "orcid": ""
            20     }, 24     },
            21     { 25     {
            n 22       "extra_author": "Yixin Wang", n 26       "extra_author": "Arindam Banerjee",
            23       "orcid": "" 27       "orcid": ""
            24     }, 28     },
            25     { 29     {
            n 26       "extra_author": "David M. Blei", n 30       "extra_author": "Jingrui He",
            27       "orcid": "" 31       "orcid": ""
            28     } 32     }
            29   ], 33   ],
            30   "groups": [ 34   "groups": [
            31     { 35     {
            32       "description": "", 36       "description": "",
            n 33       "display_name": "Content Recommendation", n 
            34       "id": "c9e00994-2114-41d5-9240-59213615525c", 
            35       "image_display_url": "", 
            36       "name": "content-recommendation", 
            37       "title": "Content Recommendation" 
            38     }, 
            39     { 
            40       "description": "", 
            41       "display_name": "Data Analysis", 37       "display_name": "Film Tags",
            42       "id": "35c3e6f8-4eea-4811-a1f6-66c5ba164f17", 38       "id": "9f4a0ec7-5ba4-4cce-b673-1a567d657cff",
            43       "image_display_url": "", 39       "image_display_url": "",
            n 44       "name": "data-analysis", n 40       "name": "film-tags",
            45       "title": "Data Analysis" 41       "title": "Film Tags"
            46     }, 
            47     { 
            48       "description": "", 
            49       "display_name": "Mobile Edge Caching", 
            50       "id": "c9e4b0a5-21f5-4a33-b40b-fc42f43fcc74", 
            51       "image_display_url": "", 
            52       "name": "mobile-edge-caching", 
            53       "title": "Mobile Edge Caching" 
            54     }, 42     },
            55     { 43     {
            56       "description": "", 44       "description": "",
            57       "display_name": "Movie Ratings", 45       "display_name": "Movie Ratings",
            58       "id": "5771f852-5cd7-4a7c-b7e9-7143a126007e", 46       "id": "5771f852-5cd7-4a7c-b7e9-7143a126007e",
            59       "image_display_url": "", 47       "image_display_url": "",
            60       "name": "movie-ratings", 48       "name": "movie-ratings",
            61       "title": "Movie Ratings" 49       "title": "Movie Ratings"
            62     }, 50     },
            63     { 51     {
            64       "description": "", 52       "description": "",
            n n 53       "display_name": "Movie Recommendation",
            54       "id": "407fa45d-9d3d-4585-970d-f7a5983f4d80",
            55       "image_display_url": "",
            56       "name": "movie-recommendation",
            57       "title": "Movie Recommendation"
            58     },
            59     {
            60       "description": "",
            61       "display_name": "Movies",
            62       "id": "000e6ff9-4231-483f-b7dd-6cd31e9fb53f",
            63       "image_display_url": "",
            64       "name": "movies",
            65       "title": "Movies"
            66     },
            67     {
            68       "description": "",
            69       "display_name": "Recommendation",
            70       "id": "7e4565d1-f7e4-4131-b4bc-333129ca4606",
            71       "image_display_url": "",
            72       "name": "recommendation",
            73       "title": "Recommendation"
            74     },
            75     {
            76       "description": "",
            77       "display_name": "Recommendation Systems",
            78       "id": "23a476ec-059d-4c6a-ba8a-fee88ad51d79",
            79       "image_display_url": "",
            80       "name": "recommendation-systems",
            81       "title": "Recommendation Systems"
            82     },
            83     {
            84       "description": "",
            65       "display_name": "Recommender Systems", 85       "display_name": "Recommender Systems",
            66       "id": "49df3b92-95cb-4ebe-bbfc-7a8513caa324", 86       "id": "49df3b92-95cb-4ebe-bbfc-7a8513caa324",
            67       "image_display_url": "", 87       "image_display_url": "",
            68       "name": "recommender-systems", 88       "name": "recommender-systems",
            69       "title": "Recommender Systems" 89       "title": "Recommender Systems"
            n n 90     },
            91     {
            92       "description": "",
            93       "display_name": "User behavior",
            94       "id": "0b27ef45-c7cf-49e3-94ad-f2d08f589e5c",
            95       "image_display_url": "",
            96       "name": "user-behavior",
            97       "title": "User behavior"
            70     } 98     }
            71   ], 99   ],
            72   "id": "969b75db-4aa0-4a6e-9aaa-c1ecf1bfb948", 100   "id": "969b75db-4aa0-4a6e-9aaa-c1ecf1bfb948",
            73   "isopen": false, 101   "isopen": false,
            n 74   "landing_page": "https://arxiv.org/abs/2202.03465", n 102   "landing_page": "https://www.grouplens.org/datasets/movielens/",
            75   "license_title": null, 103   "license_title": null,
            76   "link_orkg": "", 104   "link_orkg": "",
            77   "metadata_created": "2024-12-02T22:25:00.062170", 105   "metadata_created": "2024-12-02T22:25:00.062170",
            n 78   "metadata_modified": "2024-12-02T22:25:00.684812", n 106   "metadata_modified": "2024-12-02T23:23:58.965251",
            79   "name": "movielens-dataset", 107   "name": "movielens-dataset",
            n 80   "notes": "The MovieLens dataset is a widely-used benchmark dataset  n 108   "notes": "The MovieLens dataset contains questions answerable using 
            81 for research in recommender systems. It contains 10 million ratings  109 Wikidata as the knowledge graph, focusing on questions with a single 
            82 (from 0 to 5) and 100,000 tag applications applied to 10,000 movies by  110 entity and relation.",
            83 72,000 users. To preprocess the dataset, we choose the best K \u2208  
            84 {20, 50, 100} movies for consideration. At each time t, one random  
            85 user visits the website and is recommended one of the best K movies.  
            86 We assume that the user will click on the recommended movie if and  
            87 only if the user\u2019s rating of this movie is at least 3.", 
            88   "num_resources": 1, 111   "num_resources": 0,
            89   "num_tags": 8, 112   "num_tags": 13,
            90   "organization": { 113   "organization": {
            91     "approval_status": "approved", 114     "approval_status": "approved",
            92     "created": "2024-11-25T12:11:38.292601", 115     "created": "2024-11-25T12:11:38.292601",
            93     "description": "", 116     "description": "",
            94     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", 117     "id": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            95     "image_url": "", 118     "image_url": "",
            96     "is_organization": true, 119     "is_organization": true,
            97     "name": "no-organization", 120     "name": "no-organization",
            98     "state": "active", 121     "state": "active",
            99     "title": "No Organization", 122     "title": "No Organization",
            100     "type": "organization" 123     "type": "organization"
            101   }, 124   },
            102   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", 125   "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559",
            103   "private": false, 126   "private": false,
            104   "relationships_as_object": [], 127   "relationships_as_object": [],
            105   "relationships_as_subject": [], 128   "relationships_as_subject": [],
            n 106   "resources": [ n 129   "resources": [],
            107     { 
            108       "cache_last_updated": null, 
            109       "cache_url": null, 
            110       "created": "2024-12-02T22:29:38", 
            111       "data": [ 
            112         "dcterms:title", 
            113         "dcterms:accessRights", 
            114         "dcterms:creator", 
            115         "dcterms:description", 
            116         "dcterms:issued", 
            117         "dcterms:language", 
            118         "dcterms:identifier", 
            119         "dcat:theme", 
            120         "dcterms:type", 
            121         "dcat:keyword", 
            122         "dcat:landingPage", 
            123         "dcterms:hasVersion", 
            124         "dcterms:format", 
            125         "mls:task", 
            126         "datacite:isDescribedBy" 
            127       ], 
            128       "description": "The json representation of the dataset with its  
            129 distributions based on DCAT.", 
            130       "format": "JSON", 
            131       "hash": "", 
            132       "id": "b56add50-166d-4ba5-9a4e-90fab2c1652a", 
            133       "last_modified": "2024-12-02T22:25:00.676735", 
            134       "metadata_modified": "2024-12-02T22:25:00.687626", 
            135       "mimetype": "application/json", 
            136       "mimetype_inner": null, 
            137       "name": "Original Metadata", 
            138       "package_id": "969b75db-4aa0-4a6e-9aaa-c1ecf1bfb948", 
            139       "position": 0, 
            140       "resource_type": null, 
            141       "size": 1506, 
            142       "state": "active", 
            143       "url":  
            144 resource/b56add50-166d-4ba5-9a4e-90fab2c1652a/download/metadata.json", 
            145       "url_type": "upload" 
            146     } 
            147   ], 
            148   "services_used_list": "", 130   "services_used_list": "",
            149   "state": "active", 131   "state": "active",
            150   "tags": [ 132   "tags": [
            151     { 133     {
            n 152       "display_name": "Data Analysis", n 134       "display_name": "Film Tags",
            153       "id": "82ecaa33-5339-4a11-81a4-c54e2f9ffe09", 135       "id": "927eb04e-82f3-4b45-9270-8d280cd31575",
            154       "name": "Data Analysis", 136       "name": "Film Tags",
            155       "state": "active", 
            156       "vocabulary_id": null 
            157     }, 
            158     { 
            159       "display_name": "Generative Models", 
            160       "id": "dafd9c1f-394f-4d88-9c07-5801683e057a", 
            161       "name": "Generative Models", 
            162       "state": "active", 137       "state": "active",
            163       "vocabulary_id": null 138       "vocabulary_id": null
            164     }, 139     },
            165     { 140     {
            166       "display_name": "Movie Ratings", 141       "display_name": "Movie Ratings",
            167       "id": "b5815d9d-70ba-4474-b5db-cba77e7db3bc", 142       "id": "b5815d9d-70ba-4474-b5db-cba77e7db3bc",
            168       "name": "Movie Ratings", 143       "name": "Movie Ratings",
            169       "state": "active", 144       "state": "active",
            170       "vocabulary_id": null 145       "vocabulary_id": null
            171     }, 146     },
            172     { 147     {
            n n 148       "display_name": "Movie Recommendation",
            149       "id": "9510e9e0-1dce-49a6-ba20-2178cd958760",
            150       "name": "Movie Recommendation",
            151       "state": "active",
            152       "vocabulary_id": null
            153     },
            154     {
            173       "display_name": "MovieLens", 155       "display_name": "MovieLens",
            174       "id": "1667ebba-906c-4a37-a6e5-cc5c5aa93b3d", 156       "id": "1667ebba-906c-4a37-a6e5-cc5c5aa93b3d",
            175       "name": "MovieLens", 157       "name": "MovieLens",
            176       "state": "active", 158       "state": "active",
            177       "vocabulary_id": null 159       "vocabulary_id": null
            178     }, 160     },
            179     { 161     {
            n n 162       "display_name": "Recommendation Systems",
            163       "id": "d5b7a251-8138-4651-b00f-83e7e2c063a6",
            164       "name": "Recommendation Systems",
            165       "state": "active",
            166       "vocabulary_id": null
            167     },
            168     {
            169       "display_name": "movie ratings",
            170       "id": "4dcbc984-5a78-4ff8-aa98-04f49a5f99ab",
            171       "name": "movie ratings",
            172       "state": "active",
            173       "vocabulary_id": null
            174     },
            175     {
            176       "display_name": "movie recommendation",
            177       "id": "40efd57b-3b00-4cfd-8a40-2a4f868eaae7",
            178       "name": "movie recommendation",
            179       "state": "active",
            180       "vocabulary_id": null
            181     },
            182     {
            183       "display_name": "movies",
            184       "id": "2703ed1c-3434-4421-8341-ea0fc8babf05",
            185       "name": "movies",
            186       "state": "active",
            187       "vocabulary_id": null
            188     },
            189     {
            190       "display_name": "ratings",
            191       "id": "c2e65a51-ed9d-4c69-abab-ec8b01ecfe0d",
            192       "name": "ratings",
            193       "state": "active",
            194       "vocabulary_id": null
            195     },
            196     {
            197       "display_name": "recommendation",
            198       "id": "09edfd27-5979-401a-b96f-5ad5ade51820",
            199       "name": "recommendation",
            200       "state": "active",
            201       "vocabulary_id": null
            202     },
            203     {
            180       "display_name": "Recommender Systems", 204       "display_name": "recommender systems",
            181       "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed", 205       "id": "73c358fb-e2e3-4098-8493-75d24d8cb7aa",
            182       "name": "Recommender Systems", 206       "name": "recommender systems",
            183       "state": "active", 207       "state": "active",
            184       "vocabulary_id": null 208       "vocabulary_id": null
            185     }, 209     },
            186     { 210     {
            n 187       "display_name": "Top-K popular content", n 211       "display_name": "user behavior",
            188       "id": "37b07e6f-7a16-40e0-932b-9e7c3c604ff5", 212       "id": "e18714a5-5032-40e8-986b-58765e936678",
            189       "name": "Top-K popular content", 213       "name": "user behavior",
            190       "state": "active", 214       "state": "active",
            191       "vocabulary_id": null 215       "vocabulary_id": null
            192     }, 216     },
            193     { 217     {
            n 194       "display_name": "content recommendation", n 218       "display_name": "user-generated tags",
            195       "id": "23b1dfd1-9cbd-4011-b932-3d3ba614c664", 219       "id": "9a535eed-7ab0-4521-b8f7-d1564a2d8723",
            196       "name": "content recommendation", 220       "name": "user-generated tags",
            197       "state": "active", 
            198       "vocabulary_id": null 
            199     }, 
            200     { 
            201       "display_name": "mobile edge caching", 
            202       "id": "a668d9c9-2234-44a6-a7c6-895c66ea7fb8", 
            203       "name": "mobile edge caching", 
            204       "state": "active", 221       "state": "active",
            205       "vocabulary_id": null 222       "vocabulary_id": null
            206     } 223     }
            207   ], 224   ],
            t 208   "title": "MovieLens Dataset", t 225   "title": "MovieLens dataset",
            209   "type": "dataset", 226   "type": "dataset",
            210   "version": "" 227   "version": ""
            211 } 228 }