Name
Abstract | ||
|---|---|---|
This paper analyze the influence of the relations among blogs on users' browsing behavior assuming that users' activities can be predict by the relations on the blog network We define the measure for two-hop relations as a factor to influence activities, and check the correlation between them or with users' behavior by using blog data including visiting behavior Attempting to determine the relations on which users read the blogs with interest as a helpful information for page recommendation, we conduct the experiments with a machine learning As a result, even though the performance is not very high, we get the effective factors for prediction. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11836025_17 | ASWC |
Keywords | Field | DocType |
two-hop relation,blog data,behavioral analysis,helpful information,blog network,page recommendation,effective factor,browsing behavior,machine learning,behavior analysis | World Wide Web,Information retrieval,Computer science,Semantic Web,Blog network,Behavioral analysis | Conference |
Volume | ISSN | ISBN |
4185 | 0302-9743 | 3-540-38329-8 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tadanobu Furukawa | 1 | 22 | 3.34 |
| Tomofumi Matsuzawa | 2 | 3 | 2.48 |
| Yutaka Matsuo | 3 | 2966 | 193.76 |
| Kôki Uchiyama | 4 | 53 | 4.67 |
| Masayuki Takeda | 5 | 9 | 13.78 |