Toward a cross-cultural and cross-language multi-agent recommendation model for food and nutrition

Ahmed Al-Nazer, Tarek Helmy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, we present our efforts to develop a multi-agent-based framework for cross-cultural and cross-language personalized health and nutrition semantic search. Many agents that share either the same culture or same language or same health profile could share valuable information found through their semantic search. Their interests in a common viewpoint have some similarities which could be used to shorten the learning curve and give good search results effectively. Each agent is representing a user with a specific culture, language and personal health profile. What an agent likes as culture is likely similar to a different agent with the same culture. The same thing applies with language and health profiles. For example, an agent with a diabetes profile could help another agent that has a similar health profile with its valuable findings. We introduce how multi-agents could team up to contribute to each other, learn from each other, and share valuable information with each other using collaborative profile ontology. We propose a cross-cultural, cross-language, health- and nutrition-based ontology profile that could be used as the basis for collaboration between different agents.

Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012
Pages245-249
Number of pages5
DOIs
StatePublished - 2012

Publication series

NameProceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012

Keywords

  • Cross-culture
  • cross-language
  • food and nutrition
  • multi-agent
  • ontology
  • recommendation model
  • semantic web

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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