Case-based recommender systems have been successfully applied to tourism web sites for suggesting to travellers products they might like such as hotels or events. Since they exploit previous experiences by other travellers (cases), their casebase needs to be bootstrapped at deploy time by inserting initial experiences. In this paper we address this open problem and propose a methodology for bootstrapping case-based recommender systems by exploiting the tracking features of Web Analytics tools.

Exploiting Web Analytics Tracking for Bootstrapping a Case-based Recommender System

Massa, Paolo;Ferron, Michela
2015

Abstract

Case-based recommender systems have been successfully applied to tourism web sites for suggesting to travellers products they might like such as hotels or events. Since they exploit previous experiences by other travellers (cases), their casebase needs to be bootstrapped at deploy time by inserting initial experiences. In this paper we address this open problem and propose a methodology for bootstrapping case-based recommender systems by exploiting the tracking features of Web Analytics tools.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/274419
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