Combinación de logs internos y externos en la predicción de estacionalidad de búsquedas para el rediseño de webs
[EN] 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...
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| Format: | article |
| Publication Date: | 2009 |
| Country: | España |
| Institution: | Universitat Politècnica de València (UPV) |
| Repository: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Language: | Spanish |
| OAI Identifier: | oai:riunet.upv.es:10251/228935 |
| Online Access: | https://riunet.upv.es/handle/10251/228935 |
| Access Level: | Open access |
| Keyword: | Análisis de search logs Search analytics Minería web Diseño de interacción Diseño web centrado en el usuario Arquitectura de información Métrica web Analítica web Conducta de búsqueda del usuario Search log analysis Web usage mining Query mining Interaction design User centred design Information architecture Web analytics User search behaviour |
| Summary: | [EN] 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. |
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