TY - GEN
T1 - Decategorizing demographically stereotyped users in a semantic recommender system
AU - Avila, J.
AU - Riofrlo, X.
AU - Palacio-Baus, K.
AU - Astudillo, D.
AU - Saquicela, V.
AU - Espinoza-Mejla, M.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/25
Y1 - 2017/1/25
N2 - In the domain of Digital Television (DTV) broadcasting technology, the enhancement of signals features over classic analog signal transmission allows increasing the amount of content available for TV viewers. Recommender Systems (RS) arose as a suitable choice to assist users in the overwhelming task of selecting audiovisual content, however, the cold-start problem normally associated to the lack of information in early RS stages, causes that user stereotyping approaches are employed meanwhile the lack of information in user profiles is overcome. This paper presents an experimental approach aimed to determine the best conditions for which users who were categorized within a determined stereotype during the cold-start stage, could migrate to a new state in which they receive personalized recommendations. Experimental results show that the best condition under the selected demographic stereotyping scheme for this transition is directly related to the number of TV programs that a user has rated while making use of the system.
AB - In the domain of Digital Television (DTV) broadcasting technology, the enhancement of signals features over classic analog signal transmission allows increasing the amount of content available for TV viewers. Recommender Systems (RS) arose as a suitable choice to assist users in the overwhelming task of selecting audiovisual content, however, the cold-start problem normally associated to the lack of information in early RS stages, causes that user stereotyping approaches are employed meanwhile the lack of information in user profiles is overcome. This paper presents an experimental approach aimed to determine the best conditions for which users who were categorized within a determined stereotype during the cold-start stage, could migrate to a new state in which they receive personalized recommendations. Experimental results show that the best condition under the selected demographic stereotyping scheme for this transition is directly related to the number of TV programs that a user has rated while making use of the system.
UR - http://onteaiken.com.ar/boletin-no34
U2 - 10.1109/CLEI.2016.7833408
DO - 10.1109/CLEI.2016.7833408
M3 - Contribución a la conferencia
AN - SCOPUS:85013897404
T3 - Proceedings of the 2016 42nd Latin American Computing Conference, CLEI 2016
BT - Proceedings of the 2016 42nd Latin American Computing Conference, CLEI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 42nd Latin American Computing Conference, CLEI 2016
Y2 - 10 October 2016 through 14 October 2016
ER -