Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.26/18225
Title: Leverage web analytics for real time website browsing recommendations
Author: Sapateiro, Cláudio
Gomes, João
Keywords: Web analytics
Recommendation systems
Web usage recommendation
Navigation recommendations
User Experience
Issue Date: Apr-2017
Abstract: 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.
Description: Trabalho apresentado no 5th World Conference on Information Systems and Technologies (WorldCIST’17), 11-13 de abril 2017, Porto Santo, Madeira Portugal
Peer review: yes
URI: http://hdl.handle.net/10400.26/18225
Appears in Collections:IPS - ESTS – DSI - Comunicações em congressos

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