Name
Abstract | ||
|---|---|---|
In a blog network, there are many relations such as comment, trackback, and so on. We consider that if the relations are related to user's reading activity, we can extract useful information from the relations for using a recommendation system. We define the strength and type as the measure for relations, and analyze the correlation between those measures and users' reading activity. We attempt to determine the relations on which users regularly read the blogs. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11780496_31 | JSAI Workshops |
Keywords | DocType | Volume |
blog network,recommendation system,reading activity,useful information | Conference | 4012 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-35470-0 | 0 |
PageRank | References | Authors |
0.34 | 3 | 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 |