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Optimal route search with the coverage of users’ preferences

Optimal route search with the coverage of users’ preferences

Zeng, Yifeng, Chen, Xuefeng, Cao, Xin, Qin, Shengchao, Cavazza, Marc ORCID: 0000-0001-6113-9696 and Xiang, Yanping (2015) Optimal route search with the coverage of users’ preferences. In: Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015). AAAI Press, pp. 2118-2124.

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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 propose 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 accuracy of our proposed algorithms.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015)
Additional Information: Conference held at Buenos Aires, Argentina, 25-31 July, 2015.
Uncontrolled Keywords: Artificial Intelligence
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 20 Jun 2019 15:39
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19798

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