| Journal: | Polibits |
| Database: | PERIÓDICA |
| System number: | 000402942 |
| ISSN: | 1870-9044 |
| Authors: | Jebari, Chaker1 |
| Institutions: | 1College of Applied Sciences, Ibri, Ad Dhahirah. Omán |
| Year: | 2016 |
| Season: | Ene-Jun |
| Number: | 53 |
| Pages: | 43-47 |
| Country: | México |
| Language: | Inglés |
| Document type: | Artículo |
| Approach: | Analítico |
| English abstract | We propose a segment-based weighting technique for genre classification of web pages. This technique exploits character n-grams extracted from the URL of the web page rather than its textual content. The main idea of our technique is to segment the URL and assigns a weight for each segment. Experiments conducted on three known genre datasets show that our method achieves encouraging results |
| Disciplines: | Ciencias de la computación |
| Keyword: | Inteligencia artificial, Clasificación, Páginas web, Localizador uniforme de recursos |
| Keyword: | Computer science, Artificial intelligence, Classification, Web pages, Uniform resource locator |
| Full text: | Texto completo (Ver PDF) |
