A SEQUENTIAL PATTERN BASED ROUTE SUGGESTION SYSTEM

作者：Tsai Chieh Yuan^*; Lo Pei Heng

来源：International Journal of Innovative Computing Information and Control, 2010, 6(10): 4389-4408.

• Data mining
• Sequential pattern
• Guide system
• Museum

To improve museum service quality, researchers developed variant mobile systems to help visitors smoothly interact with exhibits or other companions These systems concentrated mainly on how to improve communication approaches and information query functions However, none of them discussed how to provide visitors a customized museum visiting itinerary. To bridge the gap, this research takes previous popular visiting behaviours as the suggestion foundation and develops a sequential pattern based route suggestion system to generate personalized tours. First, to increase suggestion feasibility, exhibits are grouped into a set, of exhibit sections. Based on the exhibit sections, time-interval sequential patterns are determined from a museum historical route database using the I-Prefix,Span algorithm If the time-interval sequential patterns meet visitors, intended visiting tune and must-see exhibits, they are regarded as candidate,routes and ranked according to their expected crowd degree, time variance degree and incompleteness degree The candidate routes with higher rankings are suggested to visitors' mobile devices. It as believed that the proposed system will increase museum visitor satisfaction

• 出版日期2010-10