Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
From Informing to Remembering: Ubiquitous Systems in Interactive Museums
IEEE Pervasive Computing
A Taxonomy of Recommender Agents on theInternet
Artificial Intelligence Review
IEEE Transactions on Knowledge and Data Engineering
Mobile commerce integrated with RFID technology in a container depot
Decision Support Systems
Expert Systems with Applications: An International Journal
Recommendations based on semantically enriched museum collections
Web Semantics: Science, Services and Agents on the World Wide Web
Ontology based personalized route planning system using a multi-criteria decision making approach
Expert Systems with Applications: An International Journal
Building an expert travel agent as a software agent
Expert Systems with Applications: An International Journal
A change detection method for sequential patterns
Decision Support Systems
SPETA: Social pervasive e-Tourism advisor
Telematics and Informatics
Classification of RFID adoption: An expected benefits approach
Information and Management
Review: Personalizing recommendations for tourists
Telematics and Informatics
RFID-enabled item-level retail pricing
Decision Support Systems
Combining RFID technology with social media marketing - a value network analysis
International Journal of Business Information Systems
Expert Systems with Applications: An International Journal
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Like any other industry, theme parks are now facing severe challenges from other entertainment competitors. To survive in a rapidly changing environment, creating high quality products/services in terms of consumer preference has become a critical issue for theme park managers. To fulfill these needs, this paper develops a route recommendation system that supplies theme park tourists with the facilities they should visit and in what order. In the proposed system, tourist behaviors (i.e. visiting sequences and corresponding timestamps) are persistently collected through a Radio-Frequency Identification (RFID) system and stored in a route database. The database is then segmented into sub-groups based on the similarity among tourists' visiting sequences and time lengths. Whenever a visitor requests a route recommendation service, the system identifies the sub-group most similar to that visitor's personal preferences and intended visitation time. Based on the retrieved visiting behavior data and current facility queuing situation identified by the RFID system, the proposed system generates a proper route suggestion for the visitor. A simulation case is implemented to show the feasibility of the proposed system. Based on the experimental results, it is clear that the recommended route satisfies visitor requirements using previous tourists' favorite experiences.