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Leverage web analytics for real time website browsing recommendations

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Resumo:As a websites’ structure grow it is paramount to accommodate the alignment of user needs and experience with the overall websites’ purposes. Toward this requirement, the proposed website navigation recommendation system suggests to users, pages that might be of her interest based on past successful navigation patterns of overall site’s usage. Most of existing recommendation systems adopts traditionally one of the web mining branches. We take a different stance, on web mining usage, and alternatively considered the real time enactment of web analytic tools supported analysis given their current maturity and affordances. On this basis we provide a model, its implementation and evaluation for navigation based recommendations generation and delivery. The developed prototype adopted a SaaS orientation to promote the underlying functionalities integration within any website. Preliminary evaluation’s results seem to favor the validation of the present contribution rational.
Autores principais:Sapateiro, Cláudio
Outros Autores:Gomes, João
Assunto:Web analytics Recommendation systems Web usage recommendation Navigation recommendations User Experience
Ano:2017
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Setúbal
Idioma:inglês
Origem:Instituto Politécnico de Setúbal

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