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

Authors

Anirban Mondal,Gurulingesh Raravi,Amandeep Chugh,Tridib Mukherjee

Xerox Research Center India,Xerox Research Center India,Xerox Research Center India,Xerox Research Center India


Published:

2015-11-12

Proceedings:

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 3

Volume

Issue:

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

Track:

Works in Progress

Downloads:

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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.

DOI:

10.1609/hcomp.v3i1.13249


HCOMP

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


ISBN 978-1-57735-740-7