Learning ontology for personalized video retrieval

@inproceedings{Ghosh2007LearningOF,
  title={Learning ontology for personalized video retrieval},
  author={Hiranmay Ghosh and Pasumarthi Poornachander and Anupama Mallik and Santanu Chaudhury},
  booktitle={MS},
  year={2007}
}
This paper proposes a new method for using implicit user feedback from clickthrough data to provide personalized ranking of results in a video retrieval system. The annotation based search is complemented with a feature based ranking in our approach. The ranking algorithm uses belief revision in a Bayesian Network, which is derived from a multimedia… CONTINUE READING