Name
Abstract | ||
|---|---|---|
In this paper we describe the use of collaborative filtering to make predictions about place using data from custom instant messaging status. Previous research has shown accurate predictions can be made from an individual's personal data. The work in this paper demonstrates that community data can be used to make predictions in locations that are completely new to a user. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-05408-2_8 | AMI |
Keywords | Field | DocType |
accurate prediction,personal data,community data,collaborative predictions,custom instant messaging status,previous research,collaborative filtering | Recommender system,World Wide Web,Collaborative filtering,Instant messaging,Computer science,Multimedia | Conference |
Volume | ISSN | Citations |
5859 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamad Monibi | 1 | 135 | 9.00 |
| Donald J. Patterson | 2 | 1765 | 219.99 |