TY - GEN
T1 - A hybrid recommender system based on AHP that awares contexts with Bayesian networks for smart TV
AU - Quan, Ji Chun
AU - Cho, Sung Bae
PY - 2014
Y1 - 2014
N2 - Recently, many researchers are paying close attention to TV program recommendation methods because of the enormous increase of available TV programs for users. As TV programs are often watched by multiple users like a family, this paper proposes a smart TV program recommendation method for multi-users using Bayesian networks and AHP (analytic hierarchy process). The proposed method uses Bayesian networks to infer each user's genre preference as well as program preference, and uses AHP to predict group genre preference and choose recommended programs. The accuracy of the Bayesian network model is improved through parameter learning from users' watching history. Experiments verify the inference accuracy of the Bayesian network and the accuracy of programs recommended by the proposed method.
AB - Recently, many researchers are paying close attention to TV program recommendation methods because of the enormous increase of available TV programs for users. As TV programs are often watched by multiple users like a family, this paper proposes a smart TV program recommendation method for multi-users using Bayesian networks and AHP (analytic hierarchy process). The proposed method uses Bayesian networks to infer each user's genre preference as well as program preference, and uses AHP to predict group genre preference and choose recommended programs. The accuracy of the Bayesian network model is improved through parameter learning from users' watching history. Experiments verify the inference accuracy of the Bayesian network and the accuracy of programs recommended by the proposed method.
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U2 - 10.1007/978-3-319-07617-1_46
DO - 10.1007/978-3-319-07617-1_46
M3 - Conference contribution
AN - SCOPUS:84902436777
SN - 9783319076164
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 527
EP - 536
BT - Hybrid Artificial Intelligence Systems - 9th International Conference, HAIS 2014, Proceedings
PB - Springer Verlag
T2 - 9th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2014
Y2 - 11 June 2014 through 13 June 2014
ER -