A Novel Approach Based on Multi-View Content Analysis and Semi-Supervised Enrichment for Movie Recommendation.
Wen QuKaisong SongYifei ZhangShi FengDaling WangGe YuPublished in: J. Comput. Sci. Technol. (2013)
Keyphrases
- multi view
- content analysis
- movie recommendation
- semi supervised
- single view
- recommender systems
- semi supervised learning
- multiple views
- labeled data
- collaborative filtering
- active learning
- supervised learning
- dynamic scenes
- collaborative learning
- content based filtering
- depth map
- multiple cameras
- information filtering
- co training
- unlabeled data
- pairwise
- video content
- semi supervised classification
- multi view clustering
- unsupervised learning
- three dimensional
- d objects
- labeled and unlabeled data
- multi view learning
- multi view images
- computer vision
- multi view face detection
- learning algorithm
- video streams
- learning environment
- unlabeled samples
- free viewpoint