| The project of research on complex network-based mobile social software system is sponsored by Shandong Province Natural Science Foundation. Various advanced technologies are used and a good resource management platform of mobile social software is developed. Various kinds of mobile social software resources are effective organized and managed so that they can be shared and gained by people efficiently.Mobile social software system (MoSoSo system) is the development and extension of mobile networks and social software. The sociality of software is really realized. The application of software is put into every corner of daily life. The sociality of general social software was not really realized. Because users were restricted by time and location so that they were required to be sit before the computer. However, Mobile devices (especially mobile phone, PDA) are used anytime and anywhere by users in MoSoSo system. Information (such as pictures, feelings of anytime and anywhere, sound, camera of mobile phone……) can be made and shared by those users that are not restricted by time and location. Users are really involved in the most effective way of the social behavior.The purpose of the study is that according to the research and developing direction of personalized information recommendation, complex network properties and its functional characteristics of MoSoSo system are researched, thus personalized recommend system model of MoSoSo system is build. By those efforts, the performance of recommend system could be better and it would have a broader development prospect.The personalized information recommendation system is the implementation and the future development direction of personalized information services in mobile network. With the rapid development of MoSoSo system, new demands of mobile network which provided information and services are put out by those users who used handheld mobile devices. Browsing their online information is no longer the sole purpose. Useful information can be got hold by users anytime and anywhere. Because of different hobbies, different applications and purposes, and different user-specific information needs, some users often fall into a dilemma because they often face a lot of useless information when they try to search some specific information. Therefore, mobile network can be required to provide a personalized information service that is screened, integrated and optimized in the view of users. Personalized mobile information services can be foreseen to become a basic feature of the mobile information time. The research and application of mobile personalized information recommendation system is an unstoppable trend.The specific research and innovation are as follows:1. Some typical characteristics of MoSoSo system is researched that based on the support of the existing project <>. It focuses on new features of the distinction between MoSoSo system and other software systems. It researches complex network properties and its functional characteristics of MoSoSo system.2. The main content of the study are to construct a suitable personalized information recommendation system model in MoSoSo system, and this model can be extended to other recommendation system of other functional modules in MoSoSo system.3. It gives a suitable recommendation algorithm in MoSoSo personalized information recommendation model. It is proposed a collaborative filtering recommendation algorithm based on MSS feature and information item clustering. Because the quantity and changes of information item are relatively small in MoSoSo model, and by limited the model size, it can be supported for personality information recommendation on mobile devices.4. Personality information recommendation service model is proposed that based on the construction and functional characteristics of MoSoSo system model. As an example of Blog, it is introduced the design of structural framework of personality information recommendation system in MoSoSo system. |
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