@inproceedings{d4bb4acf5200407ca6e1140eb7e7dc95,
title = "Pro-active multi-agent recommender system for travelers",
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.",
keywords = "contextual information, multi dimensional rating, multi-agent system, pro-activity, recommender system, travel itinerary",
author = "Tair, {H. Al} and Zemerly, {M. J.} and M. Al-Qutayri and M. Leida",
year = "2011",
language = "British English",
isbn = "9781908320001",
series = "2011 International Conference for Internet Technology and Secured Transactions, ICITST 2011",
pages = "466--471",
booktitle = "2011 International Conference for Internet Technology and Secured Transactions, ICITST 2011",
note = "2011 International Conference for Internet Technology and Secured Transactions, ICITST 2011 ; Conference date: 11-12-2011 Through 14-12-2011",
}