@inproceedings{6cf7de296ffb4a16b94f1fd9024d7021,
title = "Recommend touring routes to travelers according to their sequential wandering behaviours",
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 = "Casual wandering, Data mining, Mobile, Route pattern, Sequential",
author = "Dirksen Liu and Maiga Chang",
year = "2009",
doi = "10.1109/I-SPAN.2009.98",
language = "English",
isbn = "9780769539089",
series = "I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks",
pages = "350--355",
booktitle = "I-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks",
note = "10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009 ; Conference date: 14-12-2009 Through 16-12-2009",
}