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PhD Collaboration: Semantic Recommender System

PhD Collaboration: Semantic Recommender System

🗓️ Timeline

January 2012 – January 2013


👥 Contributors

  • Tirad M Almalahmeh — PhD Student
  • Mansoor Abdulhak — Collaborateur

📌 Abstract

Tourism economy is one of the fastest growing activities in developed countries. Information and communications technology (ICT) continues to be one of the greatest influences fuelling dramatic changes in reducing uncertainties and perceived risks to enhance the quality of trips by providing renewed web services. Many research findings caution that tourists are often overloaded by relevant and irrelevant information and resources. However, information searching and extraction as well as the interpretation of the information are left to the human user. In this paper we show how the promising integration of Semantic technology, ontology, recommender system and natural language interface can be used for next-generation tourism information systems.


📚 Publication

  1. Almalahmeh, T. M., Kareem, S. A., & Abdulgabber, M. A. (2013). Semantic recommender system with natural language interface: Malaysian tourism industry. International Journal of Scientific Engineering Research, 4.

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