Characterizing and modeling web sessions with applications
This thesis focuses on the analysis and modeling of web sessions, groups of requests made by a single user for a single navigation purpose. Understanding how people browse through websites is important, helping us to improve interfaces and provide to better content. After first conducting a statisti...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2014 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/283414 |
| Acceso en línea: | http://hdl.handle.net/10803/283414 |
| Access Level: | acceso abierto |
| Palabra clave: | Sesión web Análisis de comportamiento de los usuarios Modelos Resumen de sesiones web Interacción humano-computadora Aplicaciones Algoritmos de agrupamiento Web session Analysis of user behavior Models Summarization Human computer interaction Applications Clustering algorithms 62 |
| Sumario: | This thesis focuses on the analysis and modeling of web sessions, groups of requests made by a single user for a single navigation purpose. Understanding how people browse through websites is important, helping us to improve interfaces and provide to better content. After first conducting a statistical analysis of web sessions, we go on to present algorithms to summarize and model web sessions. Finally, we describe applications that use novel browsing methods, in particular parallel browsing. We observe that people tend to browse images in a sequences and that those sequences can be considered as units of content in their own right. The session summarization algorithm presented in this thesis tackles a novel pattern mining problem, and this algorithm can also be applied to other fields, such as information propagation. From the statistical analysis and the models presented, we show that contextual information, such as the referrer domain and the time of day, plays a major role in the evolution of sessions. To understand browsing one should therefore take into account the context in which it takes place. |
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