| Título: | Discovering context-topic rules in search engine logs |
| Autores: |
Hurtado, Carlos Levene, Mark |
| Fecha: |
2009-04-09 2009-04-09 2006 |
| Publicador: | SPRINGER-VERLAG BERLIN |
| Fuente: |
Ver documento |
| Tipo: | Artículo de Revista |
| Tema: | |
| Descripción: | In this paper, we present a class of rules, called context-topic rules, for discovering associations between topics and contexts, where a context is defined as a set of features that can be extracted from the log file of a Web search engine. We introduce a notion of rule interesting-ness that measures the level of the interest of the topic within a context, and provide an algorithm to compute concise representations of interesting context-topic rules. Finally, we present the results of applying the methodology proposed to a large data log of a search engine. |
| Idioma: | Inglés |