Interactive tutoring of cooking activities with personalized multimedia recipe search

Qing LI, Xudong MAO, Haoran XIE

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

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 a 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. Copyright © 2011 Association for Computing Machinery.

Original languageEnglish
Title of host publicationProceedings of the third international ACM workshop on multimedia technologies for distance learning
Place of PublicationNew York
PublisherThe Association for Computing Machinery
Pages31-36
ISBN (Print)9781450309943
DOIs
Publication statusPublished - 2011

Fingerprint

Cooking
Image retrieval
Learning systems
Internet
Feedback

Citation

Li, Q., Mao, X., & Xie, H. (2011). Interactive tutoring of cooking activities with personalized multimedia recipe search. In Proceedings of the third international ACM workshop on multimedia technologies for distance learning (pp. 31-36). New York: The Association for Computing Machinery.

Keywords

  • Collaborative tagging
  • Personalized search
  • Interactive search
  • Content-based image retrieval