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http://hdl.handle.net/10662/21230
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Campo DC | Valor | idioma |
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dc.contributor.author | González Santos, Carlos | - |
dc.contributor.author | Vega Rodríguez, Miguel Ángel | - |
dc.contributor.author | López Muñoz, Joaquín M. | - |
dc.contributor.author | Martínez Sarriegui, Iñaki | - |
dc.contributor.author | Pérez Sánchez, Carlos Javier | - |
dc.date.accessioned | 2024-05-15T10:38:09Z | - |
dc.date.available | 2024-05-15T10:38:09Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 1380-7501 | - |
dc.identifier.uri | http://hdl.handle.net/10662/21230 | - |
dc.description.abstract | Streaming services are increasingly leveraging Artificial Intelligence (AI) technologies for improved content cataloging, user experiences in content discovery, and personalization. A significant challenge in this domain is the automated assignment of microgenres to movies. This study introduces and evaluates approaches based on clustering, topic modeling, and word embedding to address this task. The evaluation employs a preprocessed dataset containing movie-related data—title tags, synopses, genres, and reviews—alongside a predefined microgenre list. Comparisons of three activation functions (binary step, ramp, and sigmoid) gauge their effectiveness in augmenting microgenre tags. Results demonstrate the superiority of the word embedding approach over clustering and topic modeling in terms of mean accuracy. Even more, the word embedding approach stands as the sole fully automated solution. Analysis indicates that incorporating review-based tags introduces noise and undermines accuracy. Besides, the word embedding approach yields optimal outcomes using the sigmoid function, effectively doubling assigned tags while maintaining matching quality. This sheds light on the potential of word embedding methods within the movie domain. | es_ES |
dc.description.sponsorship | This research has been supported by Ministry of Science, Innovation, and Universities – Spain and State Research Agency – Spain (Projects PID2019-107299GB-I00 and PID2021-122209OB-C32 funded by MCIN/AEI/10.13039/501100011033), Junta de Extremadura – Spain (Projects IDA3-19-0001-3, GR21017, and GR21057), and European Union (European Regional Development Fund). | es_ES |
dc.format.extent | 17 p. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | es_ES |
dc.publisher | Springer | es_ES |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Microgénero de películas | es_ES |
dc.subject | Incrustación de palabras | es_ES |
dc.subject | Similitud semántica | es_ES |
dc.subject | Agrupación | es_ES |
dc.subject | Tema modelado | es_ES |
dc.subject | Función de activación | es_ES |
dc.subject | Movie microgenre | es_ES |
dc.subject | Word embedding | es_ES |
dc.subject | Semantic similarity | es_ES |
dc.subject | Clustering | es_ES |
dc.subject | Topic modeling | es_ES |
dc.subject | Activation function | es_ES |
dc.title | Automatic assignment of microgenres to movies using a word embedding-based approach | es_ES |
dc.type | article | es_ES |
dc.description.version | peerReviewed | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | openAccess | es_ES |
dc.subject.unesco | 6203.01 Cinematografía | es_ES |
dc.subject.unesco | 3311.01 Tecnología de la Automatización | es_ES |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | González-Santos, C., Vega-Rodríguez, M.A., López-Muñoz, J.M. et al. Automatic assignment of microgenres to movies using a word embedding-based approach. Multimed Tools Appl 83, 48719–48735 (2024). https://doi.org/10.1007/s11042-023-17442-y | es_ES |
dc.type.version | publishedVersion | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Matemáticas | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Tecnología de los Computadores y de las Comunicaciones | es_ES |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s11042-023-17442-y | es_ES |
dc.identifier.doi | 10.1007/s11042-023-17442-y | - |
dc.identifier.publicationtitle | Multimedia Tools and Applications | es_ES |
dc.identifier.publicationfirstpage | 48719 | es_ES |
dc.identifier.publicationlastpage | 48735 | es_ES |
dc.identifier.publicationvolume | 83 | es_ES |
dc.identifier.e-issn | 1573-7721 | - |
dc.identifier.orcid | 0000-0002-3003-758X | es_ES |
dc.identifier.orcid | 0000-0001-6385-9080 | es_ES |
Colección: | DMATE - Artículos DTCYC - Artículos |
Archivos
Archivo | Descripción | Tamaño | Formato | |
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s11042-023-17442-y.pdf | 601,22 kB | Adobe PDF | Descargar |
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