1. I DENTIFYING T OURISTS FROM P UBLIC T RANSPORT C OMMUTERS Speaker: Jim-An Tsai Advisor: Jia-ling Koh Author: Mingqiang Xue #, Huayu Wu #, Wei Chen #, Wee Siong Ng #, Gin Howe Goh #Institute for Infocomm Research, A*STAR, Singapore Date: 2015/3/5 Source: KDD’14 1

2. O UTLINE Introduction Method Experiment Conclusion 2

3. I NTRODUCTION 3

4. M OTIVATION Why these researchers want to do this research? 4

5. P URPOSE 5

6. O UTLINE Introduction Method Experiment Conclusion 6

7. P ROBLEM D ESCRIPTION 1. The Public Transport System and Dataset 2. Tourist Identification Problem 7

8. T HE P UBLIC T RANSPORT S YSTEM AND D ATASET 8

9. T OURIST I DENTIFICATION P ROBLEM 9

10. M ETHOD 1. Station Ranking 2. Label Inference 10

11. S TATION R ANKING 11

12. S TATION R ANKING 12

13. S TATION R ANKING 13

14. S TATION R ANKING 14

15. L ABEL I NFERENCE 15

16. L ABEL I NFERENCE 16

17. L ABEL I NFERENCE 17

18. L ABEL I NFERENCE 18

19. L ABEL I NFERENCE 19

20. L ABEL I NFERENCE 20 For example

21. O UTLINE Introduction Method Experiment Conclusion 21

22. E XPERIMENT 22

23. E XPERIMENT 23

24. O UTLINE Introduction Method Experiment Conclusion 24

25. C ONCLUSION 1. Propose methodologies to discover tourists from public transport commuters. 2. Design an iterative learning algorithm to infer tourists from the whole population of public transport commuters. 3. Develop a web-based interactive system, based on the algorithm, for LTA and other partners from tourism industry in Singapore to use the discovery result to improve their services. 25

26. T HANKS FOR L ISTENING 26