Trip Planning by an Integrated Search Paradigm
Published in Proceedings of the 2018 International Conference on Management of Data (SIGMOD), 2018
Recommended citation: Sheng Wang, Mingzhao Li, Yipeng Zhang, Zhifeng Bao, David Alexander Tedjopurnomo, and Xiaolin Qin. 2018. Trip Planning by an Integrated Search Paradigm. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD '18). Association for Computing Machinery, New York, NY, USA, 1673–1676. https://doi.org/10.1145/3183713.3193543 https://dl.acm.org/doi/10.1145/3183713.3193543
In this paper, we build a trip planning system called TISP, which enables user’s 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. At the front end, we propose novel visualisation 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.