Activity Trajectory search

The supported research papers can be found below:

  1. Sheng Wang, Zhifeng Bao, Shixun Huang, and Rui Zhang. A Unified Processing Paradigm for Interactive Location-based Web Search. ACM WSDM 2018, pp 601-609, Los Angeles, U.S.A. (ERA/CORE A*)
  2. Sheng Wang, Mingzhao Li, Yipeng Zhang, Zhifeng Bao, David Alexander Tedjopurnomoy, Xiaolin Qin. Trip Planning by an Integrated Search Paradigm. ACM SIGMOD 2018 Demo, pp 1673-1676, Houston, U.S.A. (ERA/CORE A*).
  3. Sheng Wang, Zhifeng Bao, Shane Culpepper, Timos Sellis, Mark Sanderson, and Xiaolin Qin. Answering Top-k Exemplar Trajectory Queries. IEEE ICDE 2017, pp 597-608, San Diego, U.S.A.(ERA/CORE A*).
  4. Sheng Wang, Zhifeng Bao, Shane Culpepper, Timos Sellis, and Mark Sanderson, Munkh-Erdene Yadamjav. Interactive Trip Planning Using Activity Trajectories. ADCS 2016, pp 77-80, Caulfield, Australia.

Dataset (new)

We open-source the tourism datasets of seven large European cities: Berlin, Copenhagen, Istanbul, London, Paris, Prague, and Rome. In each city, you will find every attraction's name, location, and opening time, etc. You can also find another file under each city, which shows the popularity weight of each attraction, i.e., the number of trajectories that crossed it.

Access the dataset here: https://drive.google.com/drive/folders/1Lp56ONWXTEM-D0RGwynSJL6yZGOBNimz?usp=sharing