CusFinder: An Interactive Customer Ranking Query System

  • Yanghao Zhou
  • Xiaolin QinEmail author
  • Xiaojun Xie
  • Xingluo Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11158)


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.


Optimum ranking Spatial constraints Multiple views 



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).


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Yanghao Zhou
    • 1
  • Xiaolin Qin
    • 1
    Email author
  • Xiaojun Xie
    • 1
  • Xingluo Li
    • 1
  1. 1.Nanjing University of Aeronautics and AstronauticsNanjingChina

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