Pro-active multi-agent recommender system for travelers

H. Al Tair, M. J. Zemerly, M. Al-Qutayri, M. Leida

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

3 Scopus citations

Abstract

This paper presents a multi-agent recommender system in which agents collaborate with each other to facilitate in providing travel recommendations. A set of rules are organized to be used as knowledge-base that enables travel agents to act in an intelligent and pro-active way. The agents are also in charge of building and updating profiles of travelers. History of the travelers' selections is kept using a multidimensional rating approach. Maximum-likelihood probability and multi-attribute theory are used to get the recommendation ratings and store them for future recommendations. The effectiveness of the system was evaluated by a diverse set of users with a variety of scenarios. The overall results indicate that the system is capable of pro-actively providing the required types of services with a good degree of accuracy.

Original languageBritish English
Title of host publication2011 International Conference for Internet Technology and Secured Transactions, ICITST 2011
Pages466-471
Number of pages6
StatePublished - 2011
Event2011 International Conference for Internet Technology and Secured Transactions, ICITST 2011 - Abu Dhabi, United Arab Emirates
Duration: 11 Dec 201114 Dec 2011

Publication series

Name2011 International Conference for Internet Technology and Secured Transactions, ICITST 2011

Conference

Conference2011 International Conference for Internet Technology and Secured Transactions, ICITST 2011
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period11/12/1114/12/11

Keywords

  • contextual information
  • multi dimensional rating
  • multi-agent system
  • pro-activity
  • recommender system
  • travel itinerary

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