International Journal of Computer Vision
IEEE Internet Computing
Usage patterns of collaborative tagging systems
Journal of Information Science
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
P-TAG: large scale automatic generation of personalized annotation tags for the web
Proceedings of the 16th international conference on World Wide Web
Can all tags be used for search?
Proceedings of the 17th ACM conference on Information and knowledge management
User preference modeling from positive contents for personalized recommendation
DS'07 Proceedings of the 10th international conference on Discovery science
Personalized search by tag-based user profile and resource profile in collaborative tagging systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Personalizing web search with folksonomy-based user and document profiles
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
The third ACM international workshop on multimedia technologies for distance learning (MTDL 2011)
MM '11 Proceedings of the 19th ACM international conference on Multimedia
| Hi-index | 0.00 |
With the fast development of the Internet, there are more and more learning resources including various multimedia resources on the Web. Meanwhile, e-learning becomes more popular and important due to its convenience and autonomy. However, how to help users conduct high quality resource retrieval remains a challenge and should be considered first for an e-learning system. The traditional indexing approach which classifies multimedia resources into predefined categories can hardly meet user demands. Collaborative tagging (also known as folksonomy) systems provide users with a simple but powerful mechanism to obtain required multimedia resources. Moreover, feedbacks made by users can be utilized to refine the retrieval results during the interactive process between users and systems. In this paper, we present an interactive tutoring system with personalized multimedia resource search, based on collaborative tagging mechanism. We also describe several application scenarios in which content-based image retrieval (CBIR) is combined with collaborative tagging to facilitate interactive tutoring in our cooking recipe database system.