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Related Experiment Videos

Using contextual queries.

Bob Schijvenaars1, Erik Van Mulligen, Mario Diwersy

  • 1Dept of Medical Informatics, Erasmus University MC Rotterdam, The Netherlands.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
PubMed
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This study introduces context-aware search, moving beyond isolated queries. It enhances web search by using the user's current document to find related articles and information.

Area of Science:

  • Information Science
  • Computer Science
  • Human-Computer Interaction

Background:

  • Traditional search engines process queries in isolation, delivering uniform results regardless of user or context.
  • This lack of contextual understanding limits the relevance and personalization of search results.

Purpose of the Study:

  • To develop and demonstrate an approach that leverages implicit context from a user's current document.
  • To enable context-driven queries that retrieve relevant articles from diverse information sources.

Main Methods:

  • Integrating functionality into web documents to capture implicit contextual information.
  • Activating context-driven queries based on the content of the document being read.
  • Retrieving related articles from various information sources using these context-aware queries.

Related Experiment Videos

Main Results:

  • Demonstration of a system that successfully extracts implicit context from documents.
  • Successful activation of context-driven queries yielding relevant related articles.
  • Improved search result personalization by incorporating document context.

Conclusions:

  • Context-aware search significantly enhances information retrieval by utilizing implicit user context.
  • This approach offers a more personalized and relevant search experience compared to traditional isolated queries.
  • The demonstrated method provides a foundation for more intelligent and contextually sensitive search engine functionalities.