Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-29426-6_28 | APWeb Workshops |
Keywords | Field | DocType |
service recommendation,space-time information,space-time status,user space-time status,interesting service,service invocation log,event dag,service invocation history,semantic information,related semantic information | Space time,Data mining,Collaborative filtering,Computer science,Invocation,Semantic information,Database | Conference |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changjian Fang | 1 | 17 | 2.87 |
| Bo Mao | 2 | 0 | 0.34 |
| Jie Cao | 3 | 627 | 73.36 |
| Zhiang Wu | 4 | 359 | 37.24 |