Research on Recommended Method for Crowdsourcing Task of Mobile Application Based on Top-K Algorithm

DOI

10.2991/icmmcce-17.2017.104How to use a DOI?

Keywords

Mobile application crowdsourcing testing; Top-K algorithm; task recommendation

Abstract

Crowdsourcing testers don't have to sign any contract, and the anonymous crowdsourcing testers determine the quality of tests.To match the recommended tasks with testers, a two phase task recommendation method based on Top-K algorithm was proposed. Category was introduced to reduce time complexity of Top-K algorithm. By classifying the tasks and calculating the category matching scores, the task types which were most suitable were obtained. After calculating the similarity between tester portrayal and tasks, the top K tasks were recommended from selected categories. Experiment shows that the proposed Top-K-Task algorithm can greatly improve the matching degree between testers and the recommended task.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ying Liu
AU  - Tao Zhang
AU  - Kun Li
AU  - Hehe Gong
PY  - 2017/09
DA  - 2017/09
TI  - Research on Recommended Method for Crowdsourcing Task of Mobile Application Based on Top-K Algorithm
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 558
EP  - 563
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.104
DO  - 10.2991/icmmcce-17.2017.104
ID  - Liu2017/09
ER  -