Conference Proceedings

Trip planning by an integrated search paradigm

S Wang, M Li, Y Zhang, Z Bao, DA Tedjopurnomo, X Qin

Proceedings of the ACM SIGMOD International Conference on Management of Data | ASSOC COMPUTING MACHINERY | Published : 2018

Abstract

In this paper, we demonstrate a trip planning system called TISP, which enables users' interactive exploration of POIs and trajectories in their incremental trip planning. At the back end, TISP is able to support seven types of common queries over spatial-only, spatial-textual and textual-only data, based on our proposed unified indexing and search paradigm [7]. At the front end, we propose novel visualization designs to present the result of different types of queries; our user-friendly interaction designs allow users to construct further queries without inputting any text.

University of Melbourne Researchers

Grants

Awarded by ARC


Awarded by National Natural Science Foundation of China (NSFC)


Funding Acknowledgements

This work was partially supported by ARC DP170102726, DP180102050, and National Natural Science Foundation of China (NSFC) 61728204, 91646204. Zhifeng Bao is supported by a Google Faculty Award.