Resumen

Compared to analog transmissions, Digital Television (DTV) standards allows a higher number of available TV stations and consequently, a larger entertainment offer. In this context, Recommender Systems (RS) support users in choosing entertainment content by narrowing their options to a reduced set based on their preferences an interests. However, new users or those having incomplete profiles prevent the system to produce accurate recommendations, which is more noticeable in early stages of the RS. This paper proposes the use of a demographic stereotyping approach based on minimal user attributes acquired during user registration. Furthermore, we propose an experimental procedure that can be used to compare the system accuracy for the created stereotypes and for users making extensive use of the system.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
EditoresAlberto Sanchez, Carlos Monsalve, Zenon Chaczko
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas392-396
Número de páginas5
ISBN (versión digital)9781479975884
DOI
EstadoPublicada - 1 oct. 2015
EventoAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015 - Quito, Pichincha, Ecuador
Duración: 14 jul. 201516 jul. 2015

Serie de la publicación

NombreProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015

Conferencia

ConferenciaAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
País/TerritorioEcuador
CiudadQuito, Pichincha
Período14/07/1516/07/15

Huella

Profundice en los temas de investigación de 'Semantic Recommender Systems for Digital TV: From Demographic Stereotyping to Personalized Recommendations'. En conjunto forman una huella única.

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