Personal Tour A Multi Agent Recommender System Of Travel Packages

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PersonalTour: A Recommender System for Travel Packages ...

https://www.researchgate.net/publication/221156673_PersonalTour_A_Recommender_System_for_Travel_Packages

Lorenzi et al. [11], [12] proposed a travel package recommendation system based on a multi-agent architecture. In their work, the authors used the multi-agent approach composed of expert agents ...

Personal Tour: A Multi-Agent Recommender System of Travel ...

https://www.igi-global.com/chapter/personal-tour-multi-agent-recommender/56441

Personal Tour: A Multi-Agent Recommender System of Travel Packages: 10.4018/978-1-61350-041-5.ch012: This chapter describes the Personal Tour: a multi-agent recommender system designed to help users to find best travel packages according to their preferences.Author: Fabiana Lorenzi, Stanley Loh, Mara Abel

Global Hospitality and Tourism Management Technologies ...

https://www.igi-global.com/book/global-hospitality-tourism-management-technologies/51923

Aug 01, 2011 · Chapter 12 (Personal Tour: a multi-agent recommender system of travel packages) describes the Personal Tour, a multi-agent recommender system designed to help users to find best travel packages according to their preferences. Personal Tour is based on the collaboration of multiple agents exchanging information stored in their local knowledge bases.

Customer Segmentation in a Travel Agency Dataset using ...

https://www.researchgate.net/publication/330622144_Customer_Segmentation_in_a_Travel_Agency_Dataset_using_Clustering_Algorithms

This chapter describes the Personal Tour: a multi-agent recommender system designed to help users to find best travel packages according to their preferences.

(PDF) Reasoning for Intelligent System-User Interactions ...

https://www.researchgate.net/publication/228799775_Reasoning_for_Intelligent_System-User_Interactions_with_Enterprise_Resource_Planning_Systems

Personal Tour is based on the collaboration of multiple agents exchanging information stored in their local knowledge bases. Based on the paradigm of the Distributed Artificial Intelligence, a ...

An extensive study on the evolution of context-aware ...

https://www.sciencedirect.com/science/article/pii/S0306457319300111

Jan 01, 2020 · Batet, Moreno, Sánchez, Isern and Valls (2012) proposed [email protected], an agent-based travel recommendation system combining content-based and collaborative recommendation strategies. [email protected] is implemented as a multi-agent system having user, activity, broker and recommender agents. 3.1.3. Travel recommenders

Travel Package Recommendation System: A Literature Review

https://www.ijsr.net/archive/v5i3/NOV162170.pdf

Recommendation Systems 2. Literature Review Multi-agent based recommender system In their report [8] Chen-Shu Wang; Chia-Chuan Yeh; Chun-Yi Lielaborated that to arrange travel schedule was a classical ill define problem. It lacked structure, was uncertain, and had dynamic complexity. There were two ways to tackle TS arrangement (TSA) problem, which

Stanley LOH Doctor in Computer Science Universidade ...

https://www.researchgate.net/profile/Stanley_Loh

This paper describes the Personal Tour recommender system that helps customers to find best travel packages according to their preferences. ... A multi-agent recommender system of travel packages ...

Global hospitality and tourism management technologies ...

https://trove.nla.gov.au/version/195808671

Personal tour : a multi-agent recommender system of travel packages Management of world heritage sites : an integrated sustainable marketing approach Research review of OWOM : Chinese cases. More... Notes "Premier reference source"--Cover. Description based on print version record. Includes bibliographical references. Also available in print.

Fabiana LORENZI phD Universidade Luterana do Brasil ...

https://www.researchgate.net/profile/Fabiana_Lorenzi2

This paper describes the Personal Tour recommender system that helps customers to find best travel packages according to their preferences. ... A multi-agent recommender system of travel packages ...

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