TV Program recommendation is a good example of a novel application of
networked appliances using personalization technologies. The aim of
this paper is to propose methods to improve the accuracy of TV program
recommendation. Automatic metadata expansion (AME) is a method to
enhance TV program metadata from electronic program guide (EPG) data,
and indirect collaborative filtering (ICF) is a method to recommend
non-persistent items such as TV programs based on the preferences of
other members in a community. In this paper, the effectiveness of these
methods is confirmed through experiments. This online TV recommendation
system is currently being used by 230,000 members in Japan. The result
of the actual operation is also discussed.
VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
year
2008
month
JAN
journal
MULTIMEDIA TOOLS AND APPLICATIONS
number
1-2
pages
37-54
publisher
SPRINGER
volume
36
type
Article
author-email
tsunoda@sm.sony.co.jp
issn
1380-7501
doc-delivery-number
241LT
number-of-cited-references
9
affiliation
Tsunoda, T (Reprint Author), Sony Corp, Informat Technol Lab, Intelligent Syst Res Lab, PAO Grp, Tokyo, Japan.
Tsunoda, Tomohiro; Hoshino, Masaaki Sony Corp, Informat Technol Lab, Intelligent Syst Res Lab, PAO Grp, Tokyo, Japan.
%0 Journal Article
%1 TsuHos08
%A Tsunoda, Tomohiro
%A Hoshino, Masaaki
%C VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
%D 2008
%I SPRINGER
%J MULTIMEDIA TOOLS AND APPLICATIONS
%K epg hpi_ism10 recommender tv
%N 1-2
%P 37-54
%R 10.1007/s11042-006-0077-4
%T Automatic metadata expansion and indirect collaborative filtering for
TV program recommendation system
%V 36
%X TV Program recommendation is a good example of a novel application of
networked appliances using personalization technologies. The aim of
this paper is to propose methods to improve the accuracy of TV program
recommendation. Automatic metadata expansion (AME) is a method to
enhance TV program metadata from electronic program guide (EPG) data,
and indirect collaborative filtering (ICF) is a method to recommend
non-persistent items such as TV programs based on the preferences of
other members in a community. In this paper, the effectiveness of these
methods is confirmed through experiments. This online TV recommendation
system is currently being used by 230,000 members in Japan. The result
of the actual operation is also discussed.
@article{TsuHos08,
abstract = {{TV Program recommendation is a good example of a novel application of
networked appliances using personalization technologies. The aim of
this paper is to propose methods to improve the accuracy of TV program
recommendation. Automatic metadata expansion (AME) is a method to
enhance TV program metadata from electronic program guide (EPG) data,
and indirect collaborative filtering (ICF) is a method to recommend
non-persistent items such as TV programs based on the preferences of
other members in a community. In this paper, the effectiveness of these
methods is confirmed through experiments. This online TV recommendation
system is currently being used by 230,000 members in Japan. The result
of the actual operation is also discussed.}},
added-at = {2010-03-16T10:52:58.000+0100},
address = {{VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS}},
affiliation = {{Tsunoda, T (Reprint Author), Sony Corp, Informat Technol Lab, Intelligent Syst Res Lab, PAO Grp, Tokyo, Japan.
{[}Tsunoda, Tomohiro; Hoshino, Masaaki] Sony Corp, Informat Technol Lab, Intelligent Syst Res Lab, PAO Grp, Tokyo, Japan.}},
author = {Tsunoda, Tomohiro and Hoshino, Masaaki},
author-email = {{tsunoda@sm.sony.co.jp}},
biburl = {https://www.bibsonomy.org/bibtex/20243dc6f35a52d2b8c1cbfb63a535fc1/datentaste},
doc-delivery-number = {{241LT}},
doi = {{10.1007/s11042-006-0077-4}},
interhash = {9cf745c097f7e4e94a39e9ceec89bae0},
intrahash = {0243dc6f35a52d2b8c1cbfb63a535fc1},
issn = {{1380-7501}},
journal = {{MULTIMEDIA TOOLS AND APPLICATIONS}},
keywords = {epg hpi_ism10 recommender tv},
month = {{JAN}},
number = {{1-2}},
number-of-cited-references = {{9}},
pages = {{37-54}},
publisher = {{SPRINGER}},
timestamp = {2010-03-16T10:52:58.000+0100},
title = {{Automatic metadata expansion and indirect collaborative filtering for
TV program recommendation system}},
type = {{Article}},
unique-id = {{ISI:000251658600003}},
volume = {{36}},
year = {{2008}}
}