Skip to main navigation Skip to search Skip to main content

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
EditorsAlberto Sanchez, Carlos Monsalve, Zenon Chaczko
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages392-396
Number of pages5
ISBN (Electronic)9781479975884
DOIs
StatePublished - 1 Oct 2015
EventAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015 - Quito, Pichincha, Ecuador
Duration: 14 Jul 201516 Jul 2015

Publication series

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

Conference

ConferenceAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
Country/TerritoryEcuador
CityQuito, Pichincha
Period14/07/1516/07/15

Keywords

  • cold-start
  • demographic stereotyping
  • ontologies
  • semantic recommender system

Fingerprint

Dive into the research topics of 'Semantic Recommender Systems for Digital TV: From Demographic Stereotyping to Personalized Recommendations'. Together they form a unique fingerprint.

Cite this