Name
Abstract | ||
|---|---|---|
Context-awareness is the leading feature of pervasive computing. Blog is one of the first and key elements in social computing. In the emerging pervasive social computing paradigm, an interesting topic is how to blog with user behaviors automatically associated. In this paper, we present Mlogger, an automatic blogging system that can detect, recognize and track user behaviors and associate them with new blog entries. In the system, Sun SPOTs are used for sensing raw behavioral data. A Mlogger back-end system is designed to process those raw data and infer high-level user behavioral information such as "what the user is doing, and where, when, and with whom?". Associated with the inferred information, a new entry about user behaviors can be created and published automatically. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16355-5_49 | UIC |
Keywords | Field | DocType |
behavioral information,new blog entry,user behavior,infer high-level user,social computing,mlogger back-end system,automatic blogging system,pervasive computing,pervasive social computing paradigm,track user behavior,wireless sensor network | World Wide Web,Mobile sensing,Computer science,Raw data,Behavioral data,Context-aware pervasive systems,Ubiquitous computing,Social computing,Wireless sensor network | Conference |
Volume | ISSN | ISBN |
6406 | 0302-9743 | 3-642-16354-8 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun-Zhao Sun | 1 | 131 | 17.41 |
| Jiehan Zhou | 2 | 226 | 28.61 |
| Timo Pihlajaniemi | 3 | 0 | 0.34 |