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Publicação
Leverage web analytics for real time website browsing recommendations
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Autores
Orientador(es)
Resumo(s)
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.
Descrição
Trabalho apresentado no 5th World Conference on Information Systems and Technologies (WorldCIST’17), 11-13 de abril 2017, Porto Santo, Madeira Portugal
Palavras-chave
Web analytics Recommendation systems Web usage recommendation Navigation recommendations User Experience