Title :
Recommendation for Movies and Stars Using YAGO and IMDB
Author :
Hu, Yajie ; Wang, Ziqi ; Wu, Wei ; Guo, Jianzhong ; Zhang, Ming
Author_Institution :
Peking Univ., Beijing, China
Abstract :
With the rapid growth of web data, people sometime need semantic similar information in order to obtain a clear outline of their interests, so recommendation is needed to provide relevant information to users´ queries. In this paper, we propose a method to recommend semantic similar movies and stars to users´ queries, styles and stories. The system measures the similarities between movies according to genre and style features extracted from YAGO and IMDB. Experimental results show that the recommendations meet users´ interests.
Keywords :
Internet; information filters; query processing; IMDB; Internet; Web data; YAGO; semantic similar movies recommendation; semantic similar stars recommendation; users queries; Collaboration; Data mining; Feature extraction; Filtering; Information resources; Information retrieval; Internet; Motion pictures; Search engines; Text categorization;
Conference_Titel :
Web Conference (APWEB), 2010 12th International Asia-Pacific
Conference_Location :
Busan
Print_ISBN :
978-1-7695-4012-2
Electronic_ISBN :
978-1-4244-6600-9
DOI :
10.1109/APWeb.2010.51
