Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag Recommendation
Multimedia content has become an essential tool to share knowledge, sell products or disseminate messages. Some social networks use multimedia content to promote information and create social communities. In order to increase the impact of the digital content, those images or videos are labeled with...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Internacional de La Rioja (UNIR)
2022-09-01
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| Series: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.ijimai.org/journal/bibcite/reference/3169 |
| _version_ | 1811209349828182016 |
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| author | Lucía Martín-Gómez Javier Pérez-Marcos Rebeca Cordero-Gutiérrez Daniel H. De La Iglesia |
| author_facet | Lucía Martín-Gómez Javier Pérez-Marcos Rebeca Cordero-Gutiérrez Daniel H. De La Iglesia |
| author_sort | Lucía Martín-Gómez |
| collection | DOAJ |
| description | Multimedia content has become an essential tool to share knowledge, sell products or disseminate messages. Some social networks use multimedia content to promote information and create social communities. In order to increase the impact of the digital content, those images or videos are labeled with different words, denominated tags. In this paper, we propose a recommender system which analyzes multimedia content and suggests tags to maximize its influence in the social community. It implements a Case-Based Reasoning architecture (CBR), which allows to learn from previous tagged content. The system has been evaluated through cross fold validation with a training and validation sets carefully constructed and extracted from Instagram. The results demonstrate that the system can suggest good options to label our image and maximize the influence of the multimedia content. |
| first_indexed | 2024-04-12T04:36:55Z |
| format | Article |
| id | doaj.art-68ec23e9c7564c039947e7e166b261ce |
| institution | Directory Open Access Journal |
| issn | 1989-1660 |
| language | English |
| last_indexed | 2024-04-12T04:36:55Z |
| publishDate | 2022-09-01 |
| publisher | Universidad Internacional de La Rioja (UNIR) |
| record_format | Article |
| series | International Journal of Interactive Multimedia and Artificial Intelligence |
| spelling | doaj.art-68ec23e9c7564c039947e7e166b261ce2022-12-22T03:47:46ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16602022-09-0176455310.9781/ijimai.2022.09.002ijimai.2022.09.002Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag RecommendationLucía Martín-GómezJavier Pérez-MarcosRebeca Cordero-GutiérrezDaniel H. De La IglesiaMultimedia content has become an essential tool to share knowledge, sell products or disseminate messages. Some social networks use multimedia content to promote information and create social communities. In order to increase the impact of the digital content, those images or videos are labeled with different words, denominated tags. In this paper, we propose a recommender system which analyzes multimedia content and suggests tags to maximize its influence in the social community. It implements a Case-Based Reasoning architecture (CBR), which allows to learn from previous tagged content. The system has been evaluated through cross fold validation with a training and validation sets carefully constructed and extracted from Instagram. The results demonstrate that the system can suggest good options to label our image and maximize the influence of the multimedia content.https://www.ijimai.org/journal/bibcite/reference/3169artificial intelligenceimage processingrecommendation systemssocialtagging |
| spellingShingle | Lucía Martín-Gómez Javier Pérez-Marcos Rebeca Cordero-Gutiérrez Daniel H. De La Iglesia Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag Recommendation International Journal of Interactive Multimedia and Artificial Intelligence artificial intelligence image processing recommendation systems social tagging |
| title | Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag Recommendation |
| title_full | Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag Recommendation |
| title_fullStr | Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag Recommendation |
| title_full_unstemmed | Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag Recommendation |
| title_short | Promoting Social Media Dissemination of Digital Images Through CBR-Based Tag Recommendation |
| title_sort | promoting social media dissemination of digital images through cbr based tag recommendation |
| topic | artificial intelligence image processing recommendation systems social tagging |
| url | https://www.ijimai.org/journal/bibcite/reference/3169 |
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