Knowledge modeling for personalized travel recommender

Atifah Khalid, Suriani Rapa'ee, Norlidza Mohd Yassin, Dickson Lukose

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Looking for information for travel or holiday destinations can be troublesome when the information gathered is often too much and when this happens, a traveler has to spend a lot of time to filter or digest the information before a sensible travel plan can be prepared. A traveler normally needs more than one piece of travel information to decide on destinations to visit and a collection of such information is normally extracted from several information sources such as travel guides, forums, blogs, social applications and websites of accommodations, transportations and eating places. In this paper, we present a mobile personalized travel recommender that is known as Travel Advisor. It is designed to provide a context-aware support for itinerary planning for both individual and group travelers according to the context, static profile, and dynamic profile of the travelers. It leverages on the use of semantic knowledge representations to make semantically meaningful recommendations to meet the need of travelers. This paper also describes the challenges associated with personalized travel recommendations.

Original languageEnglish
Title of host publicationKnowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers
Number of pages10
Publication statusPublished - 2012
Externally publishedYes
EventKnowledge Technology Week 2011 - Kajang, Malaysia
Duration: 18 Jul 201122 Jul 2011
Conference number: 3rd (SpringerLink - entire proceedings)

Publication series

NameCommunications in Computer and Information Science
Volume295 CCIS
ISSN (Print)1865-0929


ConferenceKnowledge Technology Week 2011
Abbreviated titleKTW 2011
Internet address


  • Context-Aware Computing
  • Personalization
  • Personalized Traveler
  • Semantic Knowledge Representation
  • Travel Plan

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