Quality-aware online task assignment mechanisms using latent topic model-Reference-Cited by-同舟云学术

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Quality-aware online task assignment mechanisms using latent topic model

Published:2020-01 Issue: Volume:803 Page:130-143
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Du Yang,Sun Yu-E,Huang He,Huang Liusheng,Xu Hongli,Wu Xiaocan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

NSFC

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference41 articles.

1. The multidimensional wisdom of crowds;Welinder,2010

2. Cdas: a crowdsourcing data analytics system;Liu;Proc. VLDB Endow.,2012

3. Running experiments on Amazon Mechanical Turk;Paolacci;Judgm. Decis. Mak.,2010

4. Annotating named entities in Twitter data with crowdsourcing;Finin,2010

5. Crowdsourced data management: a survey;Li;IEEE Trans. Knowl. Data Eng.,2016

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1. DE-DQN: A Dual-Embedding Based Deep Q-Network for Task Assignment Problem in Spatial Crowdsourcing;Web and Big Data;2023

2. An Anti-Malicious Task Allocation Mechanism in Crowdsensing Systems;Future Generation Computer Systems;2022-02

3. Crowdsourcing usage, task assignment methods, and crowdsourcing platforms: A systematic literature review;Journal of Software: Evolution and Process;2021-06-30

4. MCDM Approach for Assigning Task to the Workers by Selected Features Based on Multiple Criteria in Crowdsourcing;Scientific Programming;2021-06-17

5. Crowdsourcing System for Numerical Tasks based on Latent Topic Aware Worker Reliability;IEEE INFOCOM 2021 - IEEE Conference on Computer Communications;2021-05-10

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