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Author: Natalija Kozmina

Affiliation: University of Latvia, Latvia

Keyword(s): OLAP Personalization, Report Recommendations, Data Warehouse Reporting.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Performance Evaluation and Benchmarking ; Symbolic Systems ; Tools, Techniques and Methodologies for System Development ; User Profiling and Recommender Systems

Abstract: This paper presents the results of the experimental study that was performed in laboratory settings in the context of the OLAP reporting tool developed and put to operation at the University. The study was targeted to explore which of the modes for generating recommendations in the OLAP reporting tool has a deeper impact on users (i.e. produces more accurate recommendations). Each of the modes of the recommendation component – report structure, user activity, and semantic – employs a separate content-based method that takes advantage of OLAP schema metadata and aggregate functions. Gained data are assessed (i) quantitatively by means of the precision/recall and other metrics from the log-table analysis and certain statistical tools, and (ii) qualitatively by means of the user survey and feedback given in a free form.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Kozmina, N. (2015). An Empirical Study of Recommendations in OLAP Reporting Tool. In Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-096-3; ISSN 2184-4992, SciTePress, pages 303-312. DOI: 10.5220/0005374503030312

@conference{iceis15,
author={Natalija Kozmina.},
title={An Empirical Study of Recommendations in OLAP Reporting Tool},
booktitle={Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2015},
pages={303-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005374503030312},
isbn={978-989-758-096-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - An Empirical Study of Recommendations in OLAP Reporting Tool
SN - 978-989-758-096-3
IS - 2184-4992
AU - Kozmina, N.
PY - 2015
SP - 303
EP - 312
DO - 10.5220/0005374503030312
PB - SciTePress