Changes
On December 2, 2024 at 10:25:01 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in MovieLens Dataset -
Changed value of field
doi_date_published
to2024-12-02
in MovieLens Dataset -
Added resource Original Metadata to MovieLens Dataset
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Gemma E. Moran", | 3 | "author": "Gemma E. Moran", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [ | 5 | "citation": [ | ||
6 | "https://doi.org/10.48550/arXiv.2405.15200", | 6 | "https://doi.org/10.48550/arXiv.2405.15200", | ||
7 | "https://doi.org/10.1109/TSP.2021.3109375" | 7 | "https://doi.org/10.1109/TSP.2021.3109375" | ||
8 | ], | 8 | ], | ||
9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 9 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
10 | "defined_in": "https://doi.org/10.48550/arXiv.2110.10804", | 10 | "defined_in": "https://doi.org/10.48550/arXiv.2110.10804", | ||
11 | "doi": "10.57702/d7sil3ez", | 11 | "doi": "10.57702/d7sil3ez", | ||
n | 12 | "doi_date_published": null, | n | 12 | "doi_date_published": "2024-12-02", |
13 | "doi_publisher": "TIB", | 13 | "doi_publisher": "TIB", | ||
n | 14 | "doi_status": false, | n | 14 | "doi_status": true, |
15 | "domain": "https://service.tib.eu/ldmservice", | 15 | "domain": "https://service.tib.eu/ldmservice", | ||
16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
17 | { | 17 | { | ||
18 | "extra_author": "Dhanya Sridhar", | 18 | "extra_author": "Dhanya Sridhar", | ||
19 | "orcid": "" | 19 | "orcid": "" | ||
20 | }, | 20 | }, | ||
21 | { | 21 | { | ||
22 | "extra_author": "Yixin Wang", | 22 | "extra_author": "Yixin Wang", | ||
23 | "orcid": "" | 23 | "orcid": "" | ||
24 | }, | 24 | }, | ||
25 | { | 25 | { | ||
26 | "extra_author": "David M. Blei", | 26 | "extra_author": "David M. Blei", | ||
27 | "orcid": "" | 27 | "orcid": "" | ||
28 | } | 28 | } | ||
29 | ], | 29 | ], | ||
30 | "groups": [ | 30 | "groups": [ | ||
31 | { | 31 | { | ||
32 | "description": "", | 32 | "description": "", | ||
33 | "display_name": "Content Recommendation", | 33 | "display_name": "Content Recommendation", | ||
34 | "id": "c9e00994-2114-41d5-9240-59213615525c", | 34 | "id": "c9e00994-2114-41d5-9240-59213615525c", | ||
35 | "image_display_url": "", | 35 | "image_display_url": "", | ||
36 | "name": "content-recommendation", | 36 | "name": "content-recommendation", | ||
37 | "title": "Content Recommendation" | 37 | "title": "Content Recommendation" | ||
38 | }, | 38 | }, | ||
39 | { | 39 | { | ||
40 | "description": "", | 40 | "description": "", | ||
41 | "display_name": "Data Analysis", | 41 | "display_name": "Data Analysis", | ||
42 | "id": "35c3e6f8-4eea-4811-a1f6-66c5ba164f17", | 42 | "id": "35c3e6f8-4eea-4811-a1f6-66c5ba164f17", | ||
43 | "image_display_url": "", | 43 | "image_display_url": "", | ||
44 | "name": "data-analysis", | 44 | "name": "data-analysis", | ||
45 | "title": "Data Analysis" | 45 | "title": "Data Analysis" | ||
46 | }, | 46 | }, | ||
47 | { | 47 | { | ||
48 | "description": "", | 48 | "description": "", | ||
49 | "display_name": "Mobile Edge Caching", | 49 | "display_name": "Mobile Edge Caching", | ||
50 | "id": "c9e4b0a5-21f5-4a33-b40b-fc42f43fcc74", | 50 | "id": "c9e4b0a5-21f5-4a33-b40b-fc42f43fcc74", | ||
51 | "image_display_url": "", | 51 | "image_display_url": "", | ||
52 | "name": "mobile-edge-caching", | 52 | "name": "mobile-edge-caching", | ||
53 | "title": "Mobile Edge Caching" | 53 | "title": "Mobile Edge Caching" | ||
54 | }, | 54 | }, | ||
55 | { | 55 | { | ||
56 | "description": "", | 56 | "description": "", | ||
57 | "display_name": "Movie Ratings", | 57 | "display_name": "Movie Ratings", | ||
58 | "id": "5771f852-5cd7-4a7c-b7e9-7143a126007e", | 58 | "id": "5771f852-5cd7-4a7c-b7e9-7143a126007e", | ||
59 | "image_display_url": "", | 59 | "image_display_url": "", | ||
60 | "name": "movie-ratings", | 60 | "name": "movie-ratings", | ||
61 | "title": "Movie Ratings" | 61 | "title": "Movie Ratings" | ||
62 | }, | 62 | }, | ||
63 | { | 63 | { | ||
64 | "description": "", | 64 | "description": "", | ||
65 | "display_name": "Recommender Systems", | 65 | "display_name": "Recommender Systems", | ||
66 | "id": "49df3b92-95cb-4ebe-bbfc-7a8513caa324", | 66 | "id": "49df3b92-95cb-4ebe-bbfc-7a8513caa324", | ||
67 | "image_display_url": "", | 67 | "image_display_url": "", | ||
68 | "name": "recommender-systems", | 68 | "name": "recommender-systems", | ||
69 | "title": "Recommender Systems" | 69 | "title": "Recommender Systems" | ||
70 | } | 70 | } | ||
71 | ], | 71 | ], | ||
72 | "id": "969b75db-4aa0-4a6e-9aaa-c1ecf1bfb948", | 72 | "id": "969b75db-4aa0-4a6e-9aaa-c1ecf1bfb948", | ||
73 | "isopen": false, | 73 | "isopen": false, | ||
74 | "landing_page": "https://arxiv.org/abs/2202.03465", | 74 | "landing_page": "https://arxiv.org/abs/2202.03465", | ||
75 | "license_title": null, | 75 | "license_title": null, | ||
76 | "link_orkg": "", | 76 | "link_orkg": "", | ||
77 | "metadata_created": "2024-12-02T22:25:00.062170", | 77 | "metadata_created": "2024-12-02T22:25:00.062170", | ||
n | 78 | "metadata_modified": "2024-12-02T22:25:00.062176", | n | 78 | "metadata_modified": "2024-12-02T22:25:00.684812", |
79 | "name": "movielens-dataset", | 79 | "name": "movielens-dataset", | ||
80 | "notes": "The MovieLens dataset is a widely-used benchmark dataset | 80 | "notes": "The MovieLens dataset is a widely-used benchmark dataset | ||
81 | for research in recommender systems. It contains 10 million ratings | 81 | for research in recommender systems. It contains 10 million ratings | ||
82 | (from 0 to 5) and 100,000 tag applications applied to 10,000 movies by | 82 | (from 0 to 5) and 100,000 tag applications applied to 10,000 movies by | ||
83 | 72,000 users. To preprocess the dataset, we choose the best K \u2208 | 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 | 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. | 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 | 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.", | 87 | only if the user\u2019s rating of this movie is at least 3.", | ||
n | 88 | "num_resources": 0, | n | 88 | "num_resources": 1, |
89 | "num_tags": 8, | 89 | "num_tags": 8, | ||
90 | "organization": { | 90 | "organization": { | ||
91 | "approval_status": "approved", | 91 | "approval_status": "approved", | ||
92 | "created": "2024-11-25T12:11:38.292601", | 92 | "created": "2024-11-25T12:11:38.292601", | ||
93 | "description": "", | 93 | "description": "", | ||
94 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 94 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
95 | "image_url": "", | 95 | "image_url": "", | ||
96 | "is_organization": true, | 96 | "is_organization": true, | ||
97 | "name": "no-organization", | 97 | "name": "no-organization", | ||
98 | "state": "active", | 98 | "state": "active", | ||
99 | "title": "No Organization", | 99 | "title": "No Organization", | ||
100 | "type": "organization" | 100 | "type": "organization" | ||
101 | }, | 101 | }, | ||
102 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 102 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
103 | "private": false, | 103 | "private": false, | ||
104 | "relationships_as_object": [], | 104 | "relationships_as_object": [], | ||
105 | "relationships_as_subject": [], | 105 | "relationships_as_subject": [], | ||
t | 106 | "resources": [], | t | 106 | "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 | ], | ||||
107 | "services_used_list": "", | 148 | "services_used_list": "", | ||
108 | "state": "active", | 149 | "state": "active", | ||
109 | "tags": [ | 150 | "tags": [ | ||
110 | { | 151 | { | ||
111 | "display_name": "Data Analysis", | 152 | "display_name": "Data Analysis", | ||
112 | "id": "82ecaa33-5339-4a11-81a4-c54e2f9ffe09", | 153 | "id": "82ecaa33-5339-4a11-81a4-c54e2f9ffe09", | ||
113 | "name": "Data Analysis", | 154 | "name": "Data Analysis", | ||
114 | "state": "active", | 155 | "state": "active", | ||
115 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
116 | }, | 157 | }, | ||
117 | { | 158 | { | ||
118 | "display_name": "Generative Models", | 159 | "display_name": "Generative Models", | ||
119 | "id": "dafd9c1f-394f-4d88-9c07-5801683e057a", | 160 | "id": "dafd9c1f-394f-4d88-9c07-5801683e057a", | ||
120 | "name": "Generative Models", | 161 | "name": "Generative Models", | ||
121 | "state": "active", | 162 | "state": "active", | ||
122 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
123 | }, | 164 | }, | ||
124 | { | 165 | { | ||
125 | "display_name": "Movie Ratings", | 166 | "display_name": "Movie Ratings", | ||
126 | "id": "b5815d9d-70ba-4474-b5db-cba77e7db3bc", | 167 | "id": "b5815d9d-70ba-4474-b5db-cba77e7db3bc", | ||
127 | "name": "Movie Ratings", | 168 | "name": "Movie Ratings", | ||
128 | "state": "active", | 169 | "state": "active", | ||
129 | "vocabulary_id": null | 170 | "vocabulary_id": null | ||
130 | }, | 171 | }, | ||
131 | { | 172 | { | ||
132 | "display_name": "MovieLens", | 173 | "display_name": "MovieLens", | ||
133 | "id": "1667ebba-906c-4a37-a6e5-cc5c5aa93b3d", | 174 | "id": "1667ebba-906c-4a37-a6e5-cc5c5aa93b3d", | ||
134 | "name": "MovieLens", | 175 | "name": "MovieLens", | ||
135 | "state": "active", | 176 | "state": "active", | ||
136 | "vocabulary_id": null | 177 | "vocabulary_id": null | ||
137 | }, | 178 | }, | ||
138 | { | 179 | { | ||
139 | "display_name": "Recommender Systems", | 180 | "display_name": "Recommender Systems", | ||
140 | "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed", | 181 | "id": "0d818686-61e8-4e5f-9674-649d4bcc5fed", | ||
141 | "name": "Recommender Systems", | 182 | "name": "Recommender Systems", | ||
142 | "state": "active", | 183 | "state": "active", | ||
143 | "vocabulary_id": null | 184 | "vocabulary_id": null | ||
144 | }, | 185 | }, | ||
145 | { | 186 | { | ||
146 | "display_name": "Top-K popular content", | 187 | "display_name": "Top-K popular content", | ||
147 | "id": "37b07e6f-7a16-40e0-932b-9e7c3c604ff5", | 188 | "id": "37b07e6f-7a16-40e0-932b-9e7c3c604ff5", | ||
148 | "name": "Top-K popular content", | 189 | "name": "Top-K popular content", | ||
149 | "state": "active", | 190 | "state": "active", | ||
150 | "vocabulary_id": null | 191 | "vocabulary_id": null | ||
151 | }, | 192 | }, | ||
152 | { | 193 | { | ||
153 | "display_name": "content recommendation", | 194 | "display_name": "content recommendation", | ||
154 | "id": "23b1dfd1-9cbd-4011-b932-3d3ba614c664", | 195 | "id": "23b1dfd1-9cbd-4011-b932-3d3ba614c664", | ||
155 | "name": "content recommendation", | 196 | "name": "content recommendation", | ||
156 | "state": "active", | 197 | "state": "active", | ||
157 | "vocabulary_id": null | 198 | "vocabulary_id": null | ||
158 | }, | 199 | }, | ||
159 | { | 200 | { | ||
160 | "display_name": "mobile edge caching", | 201 | "display_name": "mobile edge caching", | ||
161 | "id": "a668d9c9-2234-44a6-a7c6-895c66ea7fb8", | 202 | "id": "a668d9c9-2234-44a6-a7c6-895c66ea7fb8", | ||
162 | "name": "mobile edge caching", | 203 | "name": "mobile edge caching", | ||
163 | "state": "active", | 204 | "state": "active", | ||
164 | "vocabulary_id": null | 205 | "vocabulary_id": null | ||
165 | } | 206 | } | ||
166 | ], | 207 | ], | ||
167 | "title": "MovieLens Dataset", | 208 | "title": "MovieLens Dataset", | ||
168 | "type": "dataset", | 209 | "type": "dataset", | ||
169 | "version": "" | 210 | "version": "" | ||
170 | } | 211 | } |