DocumentCode
398931
Title
User modeling based on TVAnytime metadata standard
Author
Pogacnik, Matevz
Author_Institution
Fac. of Electr. Eng., Ljubljana Univ., Slovenia
Volume
2
fYear
2003
fDate
22-24 Sept. 2003
Firstpage
30
Abstract
This paper presents an approach to personalized search and filtering of TV and radio programmes, based on TVAnytime metadata standard. A novel user modeling approach is used to describe user preferences and measure the similarity between users. User profile adaptation is based on implicit feedback.
Keywords
information filters; information needs; information retrieval; interactive television; meta data; user modelling; TV programmes filtering; TV programmes search; TVAnytime genre taxonomy; TVAnytime metadata standard; content filtering; explicit feedback; implicit feedback; personalized automatic filtering; query expansion; radio programmes filtering; radio programmes search; user modeling approach; user profile adaptation; Collaboration; Data mining; Feature extraction; Feedback; Information analysis; Information filtering; Information filters; Information retrieval; Motion pictures; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
EUROCON 2003. Computer as a Tool. The IEEE Region 8
Print_ISBN
0-7803-7763-X
Type
conf
DOI
10.1109/EURCON.2003.1248138
Filename
1248138
Link To Document