Exploiting space-time status for service recommendation

Authors:
Changjian Fang;Bo Mao;Jie Cao;Zhiang Wu
Affiliations:
Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance and Economics, Nanjing, P.R. China;Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance and Economics, Nanjing, P.R. China;Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance and Economics, Nanjing, P.R. China;Jiangsu Provincial Key Laboratory of E-Business, Nanjing University of Finance and Economics, Nanjing, P.R. China
Venue:
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
Year:
2012

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Abstract

The prevalence of smart devices allows people to record their space-time status. This paper focuses on exploiting user space-time status and the related semantic information for service recommendation. Firstly, event DAG is employed to organize the space-time information generated based on the service invocation history. Generation algorithm of the event DAG is then proposed. Secondly, a novel collaborative filtering based recommendation algorithm is designed. Potentially interesting services in the target node and its subsequent nodes can be recommended. In our implementation, the user space-time status is generated from the 4D city models (3D location + time) with semantic information. A prototype system is implemented to generate service invocation logs of different users. These simulative logs are utilized to evaluate the effectiveness and efficiency of our proposed method.