DocumentCode
1663435
Title
The MovieOracle - Content Based Movie Recommendations
Author
Nessel, Jochen ; Cimpa, Barbara
Author_Institution
EdgeWorks Software Ltd. Ho Chi Minh City, Ho Chi Minh City, Vietnam
Volume
3
fYear
2011
Firstpage
361
Lastpage
364
Abstract
"What movies do you like?" Everyone has had to answer this question at least once. And the answer is often given by means of examples: "I like Star Wars." Often an examples explains a lot more than trying to characterize movies by other means, like giving a category like "Science Fiction" or providing actor or director names. The Movie Oracle recommends movies by comparing examples provided by the user to movie contents, which the Movie-Oracle derives from the movie dialogues gathered from movie subtitle files, without using any human generated meta-data.
Keywords
meta data; question answering (information retrieval); recommender systems; MovieOracle; Science Fiction; content based movie recommendation; human generated metadata; movie content; question answering; Books; Humans; Internet; Motion pictures; Prediction algorithms; Prototypes; Servers; content based prediction; inductive learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on
Conference_Location
Lyon
Print_ISBN
978-1-4577-1373-6
Electronic_ISBN
978-0-7695-4513-4
Type
conf
DOI
10.1109/WI-IAT.2011.236
Filename
6040879
Link To Document