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International Conference on Conceptual Modeling

ER 2018: Advances in Conceptual Modeling pp 59–63Cite as

CusFinder: An Interactive Customer Ranking Query System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11158))

Abstract

Finding a certain number of objects with optimum ranking based on spatial position constraints and given preference of attributes can be essential in numerous scenarios. In this paper, we demonstrate CusFinder, an interactive customer ranking query system to retrieve customers who favour a specific seller more than other people from the perspective of sellers, instead of retrieving sellers for a given customer similar to existing commercial systems. To make the query processing more efficient, a novel indexing is proposed to serve for query engine. Furthermore, we present the result of queries upon multiple visualization views with user-friendly interaction designs.

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Notes

  1. 1.

    http://www.dianping.com.

References

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Acknowledgement

This research is supported by NSFC 61373015, 61728204, and the Project of State Grid Corporation of China (Storage and Processing of Distributed Parallel Database Based on Big Data Technology).

Author information

Authors and Affiliations

  1. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Yanghao Zhou, Xiaolin Qin, Xiaojun Xie & Xingluo Li

Authors
  1. Yanghao Zhou
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  2. Xiaolin Qin
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  3. Xiaojun Xie
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  4. Xingluo Li
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Corresponding author

Correspondence to Xiaolin Qin .

Editor information

Editors and Affiliations

  1. University of British Columbia, Vancouver, BC, Canada

    Carson Woo

  2. University of Helsinki, Helsinki, Finland

    Jiaheng Lu

  3. Northwestern Polytechnical University, Xian, China

    Zhanhuai Li

  4. Department of Computer Science, National University of Singapore, Singapore, Singapore

    Tok Wang Ling

  5. Department of Computer Science and Technology, Tsinghua University, Beijing, Beijing, China

    Guoliang Li

  6. National University of Singapore, Singapore, Singapore

    Mong Li Lee

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Cite this paper

Zhou, Y., Qin, X., Xie, X., Li, X. (2018). CusFinder: An Interactive Customer Ranking Query System. In: Woo, C., Lu, J., Li, Z., Ling, T., Li, G., Lee, M. (eds) Advances in Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11158. Springer, Cham. https://doi.org/10.1007/978-3-030-01391-2_13

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  • DOI: https://doi.org/10.1007/978-3-030-01391-2_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01390-5

  • Online ISBN: 978-3-030-01391-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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