 Evaluation of user satisfaction with OLAP recommender systems: an application to RecoOLAP on a agricultural energetic consumption datawarehouseSandro Bimonte and Elsa Negre International Journal of Business Information Systems, 2016, vol. 21, issue 1, 117-136 Abstract: OLAP and datawarehouse (DW) systems are technologies intended to support the decision-making process, enabling the analysis of a substantial volume of data. One of the goals of recommender systems is to help users navigate large amounts of data. OLAP recommender systems have recently been proposed in the literature because the multidimensional analysis process is often tedious because the user may not know what the forthcoming query should be. User satisfaction with these systems has not yet been investigated. Thus, this work is the first study of the usefulness of OLAP recommender systems from the decision maker's point of view. Indeed, to the best of our knowledge, although several works have proposed OLAP recommender systems, they did not evaluate them against real-world data and users. With our experiments on a spatial DW concerning agricultural energetic consummation issued from the Energetic French Project. Keywords: OLAP; data warehouses; recommender systems; evaluation; user satisfaction; recommendation systems; agriculture; energy consumption; online analytical processing; decision making; France. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbisy:v:21:y:2016:i:1:p:117-136 Access Statistics for this article More articles in International Journal of Business Information Systems from Inderscience Enterprises Ltd |
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