Name
Abstract | ||
|---|---|---|
We describe a way to extract visitors' experiences from Weblogs (blogs) and also a way to mine and visualize activities of visitors at sightseeing spots. A system using our proposed method mines association rules between locations, time periods, and types of experiences out of blog entries. Association rules between experiences are also extracted. We constructed a local information search system that enables the user to specify a location, a time period, or a type of experience in a search query and find relevant Web content. Results of experiments showed that three proposed refinement algorithms applied to a conventional text mining method raises the precision and recall of the extracted rules. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11827405_21 | DEXA |
Keywords | Field | DocType |
proposed refinement,local experience,sightseeing spot,relevant web content,local information search system,time period,search query,conventional text mining method,association rule,proposed method mines association,blog entry,text mining | Information system,Web search query,Data mining,World Wide Web,Computer science,Expert system,Precision and recall,Association rule learning,Local search (optimization),Web content,Database,The Internet | Conference |
Volume | ISSN | ISBN |
4080 | 0302-9743 | 3-540-37871-5 |
Citations | PageRank | References |
16 | 1.37 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takeshi Kurashima | 1 | 315 | 24.21 |
| Taro Tezuka | 2 | 189 | 16.05 |
| Katsumi Tanaka | 3 | 1349 | 160.89 |