This study checks the conceptual definition of domestic book curation which is still in the beginning stage, the necessity of developing service and business, domestic and overseas case of relevant service. Further, the problem of book recommendation service and the difficulty anticipated in the embodiment of service are investigated together and the business model as new IT service is suggested to supplement them. Specifically, the collection of book information and customer information (interest and purchase pattern) and the procedure of mining the collected information and the process of embodying visualization was presented in the sector of service in the first place. Then, the technical transfer of developed solution and the construction cost and the method to impose commission over contents sales are presented in the sector of business. Diverse social and economic effects are expected to realize

The demand for Mobile Web Services has increased to overcome the issue of Mobile Application's platform dependencies and device resource's limitations. The method to improve productivity of the development and operation of the Mobile Web Services is to provide a low-coupling between Mobile Webs. In this paper, we propose the Recommendation Technique of dynamic Mobile Web integration to reduce the coupling. The Mobile Web Recommendation Technique is proposed based on XPDL.

Recommendation systems need to employ efficient reality mining module to find out whether social relationships extracted from a collected dataset are really meaningful in real world. Also, the recommendation should be generated by taking current contexts (e.g., location and time) account into. In this paper, we want to propose an ontology-based framework to discover real social networks from a large amount of dataset. This framework can provide a semiautomatic approach to build meaningful social networks by repeating interactions with human experts. We assume that given a dataset, we have to discover the hidden social networks which express the contextual dependencies between people. The personal context of a certain person is interrelated with those of other people, and investigated how to take into account his neighbor's contexts, which possibly have an important influence on his personal context. Particularly, in this research project, the target dataset in this work is collected from user activities (about over two millions of people) in telecommunication industry. We have applied the proposed system to discover the social networks among the mobile subscribers. to provide recommendation to mobile devices.