Abstract
We present a system for retrieving web pages which contain product reputations. We assume that product reputations are contained in personal pages and message board pages, and propose the system to retrieve those web pages. We illustrate that the system can distinguish those web pages automatically from other pages using six kinds of features extracted from a web page. We have evaluated the performance of the proposed system by computing precision and recall measures.
| Original language | English |
|---|---|
| Pages (from-to) | 187-195 |
| Number of pages | 9 |
| Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Volume | 3215 |
| Publication status | Published - 2004 |
| Externally published | Yes |
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science