Cargando…
A Comprehensive Study of Features and Algorithms for URL-Based Topic Classification
Given only the URL of a Web page, can we identify its topic? We study this problem in detail by exploring a large number of different feature sets and algorithms on several datasets. We also show that the inherent overlap between topics and the sparsity of the information in URLs makes this a very c...
| Autores principales: | , , , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2011
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1145/1993053.1993057 http://cds.cern.ch/record/1399741 |