Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
FreeSpan: frequent pattern-projected sequential pattern mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
From Informing to Remembering: Ubiquitous Systems in Interactive Museums
IEEE Pervasive Computing
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
A Context-Sensitive Nomadic Exhibition Guide
HUC '00 Proceedings of the 2nd international symposium on Handheld and Ubiquitous Computing
Mining Sequential Alarm Patterns in a Telecommunication Database
DBTel '01 Proceedings of the VLDB 2001 International Workshop on Databases in Telecommunications II
Musex: A System for Supporting Children's Collaborative Learning in a Museum with PDAs
WMTE '04 Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
Supporting small groups in the museum by context-aware communication services
Proceedings of the 12th international conference on Intelligent user interfaces
Position tracking using infra-red signals for museum guiding system
UCS'04 Proceedings of the Second international conference on Ubiquitous Computing Systems
Discovering fuzzy time-interval sequential patterns in sequence databases
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
| Hi-index | 12.05 |
Guiding service plays an important role for visitors to comprehend exhibits in exhibitions or museums. Without appropriate guiding service, visitors might miss some popular exhibits or cannot complete the visiting trip in time. Therefore, how to provide visitors customized touring service becomes an important task for exhibitions. To bridge the gap, this research takes previous popular visiting behaviors as the suggestion foundation and develops a sequential pattern mining based touring path suggestion system to generate personalized tours. In the exhibition, visiting sequences are persistently collected through a Radio-Frequency Identification (RFID) system. Next, the time-interval sequential pattern mining (I-PrefixSpan) algorithm is applied to obtain popular touring paths containing not only the visiting sequences but also the visiting time between exhibits. Based on the visitor's personal profile, the system retrieves a set of candidate touring paths. Then, the suggestion priority of each candidate touring path is evaluated based on the number of sections the path passed through, the number of exhibits the path passed through, and time closeness between the path spend and the visitor's intended visiting time. Finally, the Nation Museum of History in Taiwan is used as an example to show the feasibility of the proposed method.