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Applying Recommendation Technology in OLAP Systems

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Enterprise Information Systems (ICEIS 2009)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 24))

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Abstract

OLAP systems offering multidimensional and large information space cannot solely rely on standard navigation but need to apply recommendations to make the analysis process easy and to help users quickly find relevant data for decision-making. In this paper, we propose a recommendation methodology for assisting the user during his decision-support analysis. The system helps the user in querying multidimensional data and exposes him to the most interesting patterns, i.e. it provides to the user anticipatory as well as alternative decision-support data. We provide a preference-based approach to apply such methodology.

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References

  1. Abelló, A., Samos, J., Saltor, F.: Implementing operations to navigate semantic star schemas. In: International Workshop on Data Warehousing and OLAP, pp. 56–62. ACM, New York (2003)

    Chapter  Google Scholar 

  2. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)

    Google Scholar 

  3. Balabanovic, M., Shoham, Y.: Fab: Content-based, collaborative recommendation. Communications of the ACM 40(3), 66–72 (1997)

    Article  Google Scholar 

  4. Cabibbo, L., Torlone, R.: From a procedural to a visual query language for OLAP. In: International Conference on Scientific and Statistical Database Management, pp. 74–83. IEEE Computer Society, Washington (1998)

    Google Scholar 

  5. Choong, Y.W., Laurent, D., Marcel, P.: Computing Appropriate Representations for Multidimensional Data. Data & knowledge Engineering Journal 45(2), 181–203 (2003)

    Article  Google Scholar 

  6. Dittrich, J.P., Kossmann, D., Kreutz, A.: Bridging the gap between OLAP and SQL. In: International Conference on Very Large Data Bases, pp. 1031–1042 (2005)

    Google Scholar 

  7. Giacometti, A., Marcel, P., Negre, E.: A Framework for Recommending OLAP Queries. In: International Workshop on Data Warehousing and OLAP, pp. 73–80. ACM, New York (2008)

    Google Scholar 

  8. Golfarelli, M., Maio, D., Rizzi, S.: Conceptual Design of Data Warehouses from E/R Schemes. In: Annual Hawaii International Conference on System Sciences (1998)

    Google Scholar 

  9. Gyssen, M., Lakshmanan, L.: A foundation for multi-dimensional databases. In: International Conference on Very Large Data Bases, pp. 106–115 (1997)

    Google Scholar 

  10. Jerbi, H., Ravat, F., Teste, O., Zurfluh, G.: Management of context-aware preferences in Multidimensional Databases. In: International Conference on Digital Information Management, pp. 669–675 (2008)

    Google Scholar 

  11. Kimball, R.: The Data Warehouse Toolkit, 1996, 2nd edn. John Wiley and Sons, Chichester (2003)

    Google Scholar 

  12. Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gordon, L.R., Riedl, J.: GroupLens: Applying Collaborative Filtering to Usenet News. Communications of the ACM 40(3), 77–87 (1997)

    Article  Google Scholar 

  13. Koutrika, G., Ikeda, R., Bercovitz, B., Garcia-Molina, H.: Flexible Recommendations over Rich Data. In: ACM Conference On Recommender Systems, pp. 203–210. ACM, New York (2008)

    Chapter  Google Scholar 

  14. Lieberman, H.: Autonomous Interface Agents. In: SIGCHI Conference on Human Factors in Computing Systems, pp. 67–74. ACM, New York (1997)

    Chapter  Google Scholar 

  15. Linden, G., Smith, B., York, J.: Amazon.com recommendations: Item-to-item collaborative Filtering. IEEE Internet Computing 7(1), 76–80 (2003)

    Article  Google Scholar 

  16. Maes, P.: Agents That Reduce Work and Information Overload. Communications of the ACM 37(7), 31–40 (1994)

    Article  Google Scholar 

  17. Miller, B.N., Albert, I., Lam, S.K., Konstan, J.A., Riedl, J.: Movielens unplugged: Experiences with an occasionally connected recommender system. In: ACM International Conference on Intelligent User Interfaces, pp. 263–266 (2003)

    Google Scholar 

  18. Ravat, F., Teste, O., Tournier, R., Zurfluh, G.: Algebraic and graphic languages for OLAP manipulations. International Journal of Data Warehousing and Mining 4(1), 17–46 (2008)

    Google Scholar 

  19. Sapia, C.: PROMISE: Predicting Query Behavior to Enable Predictive Caching Strategies for OLAP Systems. In: Kambayashi, Y., Mohania, M., Tjoa, A.M. (eds.) DaWaK 2000. LNCS, vol. 1874, pp. 224–233. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  20. Satzger, B., Endres, M., Kießling, W.: A Preference-Based Recommender System. In: Bauknecht, K., Pröll, B., Werthner, H. (eds.) EC-Web 2006. LNCS, vol. 4082, pp. 31–40. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. IRIT, Institut de Recherche en Informatique de Toulouse, 118 route de Narbonne, F-31062, Toulouse, France

    Houssem Jerbi, Franck Ravat, Olivier Teste & Gilles Zurfluh

Authors
  1. Houssem Jerbi
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  2. Franck Ravat
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  3. Olivier Teste
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  4. Gilles Zurfluh
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Editor information

Editors and Affiliations

  1. Department of Systems and informatics, Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and Instituto Politécnico de Setúbal (IPS), Rua do Vale de Chaves, Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe  & José Cordeiro  & 

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Jerbi, H., Ravat, F., Teste, O., Zurfluh, G. (2009). Applying Recommendation Technology in OLAP Systems. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2009. Lecture Notes in Business Information Processing, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01347-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-01347-8_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01346-1

  • Online ISBN: 978-3-642-01347-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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