Name
Abstract | ||
|---|---|---|
Traditional agricultural information systems lack availability because of ignoring user preferences. This paper proposes a user interest modeling method which combines auto-modeling with artificial modeling. The value of user interest measure can be obtained by counting the frequency of information accesses. The statistics method based on the heat of information accesses is adopted to perform cluster agricultural information push. The result of experiment proved the user interest modeling method can express a user's interest in agricultural information better. The intelligently and personalization of the system are improved. © 2013 IFIP International Federation for Information Processing. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-36124-1_22 | IFIP Advances in Information and Communication Technology |
Keywords | Field | DocType |
information push,personalized service,user interest model | Information system,Push technology,World Wide Web,Computer science,Agriculture,User modeling,Personalization | Conference |
Volume | Issue | ISSN |
392 AICT | PART 1 | null |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaorong Yang | 1 | 1 | 2.08 |
| Qingtian Zeng | 2 | 242 | 43.67 |
| Nengfu Xie | 3 | 18 | 8.62 |
| Lihua Jiang | 4 | 1 | 2.41 |