TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications
Resumen:
The advent of Digital TV and Personal Digital Recorders promise to change the way people watch TV. The higher efficiency of digital coding will lead to increasing the number of contents offered to the user, demanding automatic tools for content recommendation. In the other hand, digital recorders will permit a non-linear consumption model, enabling the creation of (automatic) personalized schedules that combine the appealing contents for a specific user or group of users. This paper presents an approach to content recommendation for groups of people, based on TV-Anytime descriptions of TV contents and semantic reasoning techniques1.
| 2009 | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38680 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522934247391232 |
|---|---|
| author | Sotelo, Rafael |
| author2 | Blanco Fernández, Yolanda López Nores, Martín Gil Solla, Alberto Pazos Arias, Juan José |
| author2_role | author author author author |
| author_facet | Sotelo, Rafael Blanco Fernández, Yolanda López Nores, Martín Gil Solla, Alberto Pazos Arias, Juan José |
| author_role | author |
| bitstream.checksum.fl_str_mv | 7f2e2c17ef6585de66da58d1bfa8b5e1 9833653f73f7853880c94a6fead477b1 4afdbb8c545fd630ea7db775da747b2f 9da0b6dfac957114c6a7714714b86306 |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Sotelo, Rafael Blanco Fernández, Yolanda López Nores, Martín Gil Solla, Alberto Pazos Arias, Juan José |
| dc.date.accessioned.none.fl_str_mv | 2023-08-01T20:33:18Z |
| dc.date.available.none.fl_str_mv | 2023-08-01T20:33:18Z |
| dc.date.issued.es.fl_str_mv | 2009 |
| dc.date.submitted.es.fl_str_mv | 20230801 |
| dc.description.abstract.none.fl_txt_mv | The advent of Digital TV and Personal Digital Recorders promise to change the way people watch TV. The higher efficiency of digital coding will lead to increasing the number of contents offered to the user, demanding automatic tools for content recommendation. In the other hand, digital recorders will permit a non-linear consumption model, enabling the creation of (automatic) personalized schedules that combine the appealing contents for a specific user or group of users. This paper presents an approach to content recommendation for groups of people, based on TV-Anytime descriptions of TV contents and semantic reasoning techniques1. |
| dc.identifier.citation.es.fl_str_mv | Sotelo, R, Blanco Fernández, Y, López Nores, M, Gil Solla, A, Pazos Arias, Juan J. “TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications”. IEEE Transactions on Consumer Electronics, 2009, v. 55, no. 1. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/38680 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | IEEE |
| dc.relation.ispartof.es.fl_str_mv | IEEE Transactions on Consumer Electronics, 2009, v. 55, no. 1 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.title.none.fl_str_mv | TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | The advent of Digital TV and Personal Digital Recorders promise to change the way people watch TV. The higher efficiency of digital coding will lead to increasing the number of contents offered to the user, demanding automatic tools for content recommendation. In the other hand, digital recorders will permit a non-linear consumption model, enabling the creation of (automatic) personalized schedules that combine the appealing contents for a specific user or group of users. This paper presents an approach to content recommendation for groups of people, based on TV-Anytime descriptions of TV contents and semantic reasoning techniques1. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_9ffadf7887c3ba397a14db66fd44d1f8 |
| identifier_str_mv | Sotelo, R, Blanco Fernández, Y, López Nores, M, Gil Solla, A, Pazos Arias, Juan J. “TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications”. IEEE Transactions on Consumer Electronics, 2009, v. 55, no. 1. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/38680 |
| publishDate | 2009 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2023-08-01T20:33:18Z2023-08-01T20:33:18Z200920230801Sotelo, R, Blanco Fernández, Y, López Nores, M, Gil Solla, A, Pazos Arias, Juan J. “TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications”. IEEE Transactions on Consumer Electronics, 2009, v. 55, no. 1.https://hdl.handle.net/20.500.12008/38680The advent of Digital TV and Personal Digital Recorders promise to change the way people watch TV. The higher efficiency of digital coding will lead to increasing the number of contents offered to the user, demanding automatic tools for content recommendation. In the other hand, digital recorders will permit a non-linear consumption model, enabling the creation of (automatic) personalized schedules that combine the appealing contents for a specific user or group of users. This paper presents an approach to content recommendation for groups of people, based on TV-Anytime descriptions of TV contents and semantic reasoning techniques1.Made available in DSpace on 2023-08-01T20:33:18Z (GMT). No. of bitstreams: 4 license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2009enengIEEEIEEE Transactions on Consumer Electronics, 2009, v. 55, no. 1Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)TV Program Recommendation for Groups based on Muldimensional TV-Anytime ClassificationsArtículoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaSotelo, RafaelBlanco Fernández, YolandaLópez Nores, MartínGil Solla, AlbertoPazos Arias, Juan 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- Universidad de la Repúblicafalse |
| spellingShingle | TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications Sotelo, Rafael |
| status_str | publishedVersion |
| title | TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications |
| title_full | TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications |
| title_fullStr | TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications |
| title_full_unstemmed | TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications |
| title_short | TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications |
| title_sort | TV Program Recommendation for Groups based on Muldimensional TV-Anytime Classifications |
| url | https://hdl.handle.net/20.500.12008/38680 |
