A Fusion Context-Aware Model based on Hybrid Sensing for Recommendation Smart Service

Autor: Yong Lk Yoon, Svetlana Kim
Rok vydání: 2013
Předmět:
Zdroj: KIPS Transactions on Computer and Communication Systems. 2:1-6
ISSN: 2287-5891
DOI: 10.3745/ktccs.2013.2.1.001
Popis: Variety of smart devices including smart phone have become and essential item in user`s daily life. This means that smart devices are good mediators to get collecting user`s behavior by sensors mounted on the devices. The information from smart devices is important clues to identify by analyzing the user`s preferences and needs. Through this, the intelligent service which is fitted to the user is possible. This paper propose a smart service recommendation model based on user scenario using fusion context-awareness. The information for recommendation services is collected to make the scenario depending on time, location, action based on the Fusion process. The scenarios can help predict a user`s situation and provide the services in advance. Also, content categories as well as the content types are determined depending on the scenario. The scenario is a method for providing the best service as well as a basis for the user`s situation. Using this method, proposing a smart service model with the fusion context-awareness based on the hybrid sensing is the goal of this paper.
Databáze: OpenAIRE