Combinación de logs internos y externos en la predicción de estacionalidad de búsquedas para el rediseño de webs

Abstract

Effectiveness of longitudinal search analytics is studied, in the sense that search log analysis can be used as a tool to enhance website information architecture. A methodology of analysis is described, obtaining the seasonality of queries through the combination of studies on internal search logs (from internal search engines) and external search logs (from Google). Results show that a better information architecture produces better information retrieval results, both for external or internet search engines and for internal search engines.