Towards Context-Aware Recommendation for Personalized Mobile Travel Planning

Abstract

The system design and development of context-aware recommendation for personalized mobile travel planning is an important issue for both research and practices. The goal of this paper is to propose a system development framework and processes for directing the design and implementation of a context-aware recommender system that provides personalized mobile travel planning services. Design science is chosen as the research methodology and technologies integrated for building the system include rule-based reasoning, model based computing, and context data modeling. A prototype system is also constructed and evaluated to validate the feasibility and effectiveness of the proposed system development approach.