Title :
Recommend Touring Routes to Travelers According to Their Sequential Wandering Behaviours
Author :
Liu, Dirksen ; Chang, Maiga
Author_Institution :
Sch. of Comput. & Inf. Syst., Athabasca Univ., Athabasca, AB, Canada
Abstract :
This paper presents a novel problem of route recommendation which guides the user through a series of locations. The recommendation is made by matching the user´s current route with the set of popular route patterns. Sequential pattern mining methods are used to extract the popular route patterns from a large set of historical route records from previous users. An application with real requirements - the Bar Tour Guide - is used to demonstrate the effectiveness of the proposed solution.
Keywords :
computerised navigation; data mining; recommender systems; visual databases; Bar Tour Guide application; route recommendation; sequential pattern mining; Books; Collaboration; Computer networks; Data mining; Databases; Information systems; Navigation; Pattern matching; Pervasive computing; Recommender systems; casual wandering; data mining; mobile; route pattern; sequential;
Conference_Titel :
Pervasive Systems, Algorithms, and Networks (ISPAN), 2009 10th International Symposium on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5403-7
DOI :
10.1109/I-SPAN.2009.98
