LoRUS: A Mobile Crowdsourcing System for Efficiently Retrieving the Top-k Relevant Users in a Spatial Window

Authors

  • Anirban Mondal Xerox Research Center India
  • Gurulingesh Raravi Xerox Research Center India
  • Amandeep Chugh Xerox Research Center India
  • Tridib Mukherjee Xerox Research Center India

DOI:

https://doi.org/10.1609/hcomp.v3i1.13249

Abstract

The prevalence of mobile devices and applications strongly motivate mobile crowdsourcing for facilitating location-dependent services. We propose LoRUS, a Location-based Relevant User determination System for efficiently retrieving the top-k relevant mobile users in a given spatial window.

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Published

2015-09-23

How to Cite

Mondal, A., Raravi, G., Chugh, A., & Mukherjee, T. (2015). LoRUS: A Mobile Crowdsourcing System for Efficiently Retrieving the Top-k Relevant Users in a Spatial Window. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 3(1), 24-25. https://doi.org/10.1609/hcomp.v3i1.13249

Issue

Vol. 3 (2015): Third AAAI Conference on Human Computation and Crowdsourcing

Section

Works in Progress