摘要: In this paper, we present an approach for classifying movie genres based on user-ratings. Our is collaborative filtering (CF), a common technique used in recommendation systems, where the similarity between movies user-ratings, to predict of movies. The results conducted experiments show that our classification outperforms many existing approaches, by achieving F1-score 0.70, and hit-rate 94%.
acm.org
sci-hub.st 参考文章(18)
Darin Brezeale, Diane J. Cook, Using Closed Captions and Visual Features to Classify Movies by Genre ,(2006)
Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank, Classifier Chains for Multi-label Classification european conference on machine learning. pp. 254- 269 ,(2009) , 10.1007/978-3-642-04174-7_17
Matthew Roach, John S Mason, None, Classification of Video Genre using Audio conference of the international speech communication association. pp. 2693- 2696 ,(2001)
Yiming Yang, A study of thresholding strategies for text categorization international acm sigir conference on research and development in information retrieval. pp. 137- 145 ,(2001) , 10.1145/383952.383975
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, Baoxin Li, YouTubeCat: Learning to categorize wild web videos computer vision and pattern recognition. pp. 879- 886 ,(2010) , 10.1109/CVPR.2010.5540125
Stephan Fischer, Rainer Lienhart, Wolfgang Effelsberg, Automatic recognition of film genres acm multimedia. pp. 295- 304 ,(1995) , 10.1145/217279.215283
Hui-Yu Huang, Weir-Sheng Shih, Wen-Hsing Hsu, A Film Classifier Based on Low-level Visual Features multimedia signal processing. ,vol. 3, pp. 465- 468 ,(2007) , 10.1109/MMSP.2007.4412917
Marios Ioannou, George Sakkas, Grigorios Tsoumakas, Ioannis Vlahavas, Obtaining Bipartitions from Score Vectors for Multi-Label Classification 2010 22nd IEEE International Conference on Tools with Artificial Intelligence. ,vol. 1, pp. 409- 416 ,(2010) , 10.1109/ICTAI.2010.65
Chandrasekar Ramachandran, Rahul Malik, Xin Jin, Jing Gao, Klara Nahrstedt, Jiawei Han, VideoMule: a consensus learning approach to multi-label classification from noisy user-generated videos acm multimedia. pp. 721- 724 ,(2009) , 10.1145/1631272.1631397
Z. Rasheed, M. Shah, Movie genre classification by exploiting audio-visual features of previews international conference on pattern recognition. ,vol. 2, pp. 1086- 1089 ,(2002) , 10.1109/ICPR.2002.1048494