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Polarities, Axiallities and Marketability of Items

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Data Warehousing and Knowledge Discovery (DaWaK 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7448))

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Abstract

We apply polarities, axiallities and the notion of entropy to the task of identifying marketable items and the customers that should be approached in a marketing campaign. An algorithm that computes the criteria for identifying marketable items and the corresponding experimental work is also included.

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References

  1. Ansari, A., Essegaier, S., Kohli, R.: Internet Recommendation Systems. Journal of Marketing Research 37, 363–377 (2000)

    Article  Google Scholar 

  2. Adomavicius, G., Sankaranarayanan, R., Sen, S., Tuzhilin, A.: Incorporating contextual information in recommender systems using a multidimensional approach. ACM Transactions on Information Systems 23, 103–145 (2005)

    Article  Google Scholar 

  3. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6), 734–749 (2005)

    Article  Google Scholar 

  4. Birkhoff, G.: Lattice Theory, 3rd (with corrections) edn. American Mathematical Society, Providence (1995)

    Google Scholar 

  5. Daróczy, Z.: Generalized information functions. Information and Control 16, 36–51 (1970)

    Article  MathSciNet  MATH  Google Scholar 

  6. du Boucher-Ryan, P., Bridge, D.: Collaborative recommending using formal concept analysis. Knowledge-Based Systems 19, 309–315 (2006)

    Article  Google Scholar 

  7. Decker, R., Trusov, M.: Estimating aggregate consumer preferences from online product reviews. International Journal of Research Marketing 27, 293–307 (2010)

    Article  Google Scholar 

  8. Denecke, K., Erné, M., Wismuth, S.L.: Galois Connection and Applications. Kluwer Academic Publishers, Dordrecht (2004)

    Google Scholar 

  9. Fader, P.S., Hardie, B.G.S.: Modeling consumer choice among SKUs. Journal of Marketing Research 33, 442–452 (1996)

    Article  Google Scholar 

  10. Hill, W., Stead, L., Rosenstein, M., Furnas, G.: Recommending and evaluating choices in a virtual community of use. In: Proceedings of the Conference on Human Factors in Computer Systems, pp. 194–201. ACM, New York (1995)

    Google Scholar 

  11. Resnick, P., Iakovou, N., Sushak, M., Bergstrom, P., Riedl, J.: Grouplens: An open architecture for collaborative filtering of netnews. In: Proceedings of Computer Supported Cooperative Work, pp. 175–186. ACM, New York (1994)

    Google Scholar 

  12. Simovici, D.A., Djeraba, C.: Mathematical Tools for Data Mining. Springer, New York (2008)

    MATH  Google Scholar 

  13. Shardanand, U., Maes, P.: Social information filtering: Algorithms for automating ’word of mouth’. In: Proceedings of the Conference on Human Factors in Computer Systems, pp. 210–217. ACM, New York (1995)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Simovici, D.A., Fomenky, P., Kunz, W. (2012). Polarities, Axiallities and Marketability of Items. In: Cuzzocrea, A., Dayal, U. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2012. Lecture Notes in Computer Science, vol 7448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32584-7_20

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  • DOI: https://doi.org/10.1007/978-3-642-32584-7_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32583-0

  • Online ISBN: 978-3-642-32584-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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