@inproceedings{37e12fdb096e4f25a0dd88953113be07,
title = "Trip router: A time-sensitive route recommender system",
abstract = "Location-based services allow users to perform geo-spatial recording actions, which facilitates the mining of the moving activities of human beings. This paper proposes a system, Trip Router, to recommend time-sensitive trip routes consisting of a sequence of locations with associated time stamps based on knowledge extracted from large-scale location check-in data. We first propose a statistical route goodness measure considering: (a) the popularity of places, (b) the visiting order of places, (c) the proper visiting time of each place, and (d) the proper transit time from one place to another. Then we construct the time-sensitive route recommender with two major functions: (1) constructing the route based on the user-specified source location with the starting time, (2) composing the route between the specified source location and the destination location given a starting time. We devise a search method, Guidance Search, to derive the routes efficiently and effectively. Experiments on Gowalla check-in datasets with user study show the promising performance of our Trip Router system.",
author = "Hsieh, {Hsun Ping} and Li, {Cheng Te} and Lin, {Shou De}",
year = "2015",
month = jan,
day = "26",
doi = "10.1109/ICDMW.2014.34",
language = "English",
series = "IEEE International Conference on Data Mining Workshops, ICDMW",
publisher = "IEEE Computer Society",
number = "January",
pages = "1207--1210",
editor = "Zhi-Hua Zhou and Wei Wang and Ravi Kumar and Hannu Toivonen and Jian Pei and {Zhexue Huang}, Joshua and Xindong Wu",
booktitle = "Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014",
address = "United States",
edition = "January",
note = "14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 ; Conference date: 14-12-2014",
}