Abstract: The explosive growth of mobile applications has brought new opportunities and challenges to both developers and users.From the perspective of developers,it is now possible to build new mobile applications rapidly based on massive existing mobile applications.However,such high-level integration is largely ignored by most existing developing tools whose focuses are on the API level.From the perspective of users,while recommending a single personalized application for users has been widely explored,recommending a whole application integration such as application sequences still remains as an open problem.We proposed a personalized integration framework for mobile applications,and our framework contains two major parts:1) defines an intent process execution language,which could facilitate the developers to build applications more naturally,2) gives the algorithm to evaluate the preferences of different mobile application sequences,which could support personalized recommendation of application sequences.To verify the rationality of the framework,we implemented it as a developing tool and runtime supporting mechanism on the Android platform.

Key words: Mobile application,Integration framework,Sequence recommender