Optimal Route Search with the Coverage of Users' Preferences
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 2118-2123.
Abstract
The preferences of users are important in route search and planning. For example, when a user plans a trip within a city, their preferences can be expressed as keywords shopping mall, restaurant, and museum, with weights 0.5, 0.4, and 0.1, respectively. The resulting route should best satisfy their weighted preferences. In this paper, we take into account the weighted user preferences in route search, and present a keyword coverage problem, which finds an optimal route from a source location to a target location such that the keyword coverage is optimized and that the budget score satisfies a specified constraint. We prove that this problem is NP-hard. To solve this complex problem, we pro- pose an optimal route search based on an A* variant for which we have defined an admissible heuristic function. The experiments conducted on real-world datasets demonstrate both the efficiency and accu- racy of our proposed algorithms.
@inproceedings{ijcai2015p300,
title = {Optimal Route Search with the Coverage of Users' Preferences},
author = {Zeng, Yifeng and Chen, Xuefeng and Cao, Xin and Qin, Shengchao and Cavazza, Marc and Xiang, Yanping},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {2118--2123},
year = {2015},
month = {7},
note = {Main Track},
url = {https://ijcai.org/proceedings/2015/300},
}
TY - CPAPER TI - Optimal Route Search with the Coverage of Users' Preferences AU - Zeng, Yifeng AU - Chen, Xuefeng AU - Cao, Xin AU - Qin, Shengchao AU - Cavazza, Marc AU - Xiang, Yanping T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2118 EP - 2123 UR - https://ijcai.org/proceedings/2015/300 ER -Copied
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