一种面向软件众包的众包工人选择模型
打开文本图片集
Crowdsourcing worker selection model for software crowdsourcing
JiaJunyu1，2a，2b，Yang Lanxin2a，2b，Zhang Xiaodong³，Xu Jinwei2a，2b，Zhang Juzheng2a，2b，Zhang He 2a ，2bt （1.SchoolfuedfotiolUstfetuetae toryofNelSfareoUesijgina；oogte China）
Abstract：Insoftware crowdsourcing，selecting unsuitable workersoftenleads to task failureandreducedsatisfactionamong task publishers.Toaddress theseissues，this studyproposedasoftwarecrowdsourcing workerselectionmodel thatintegrated workercapabilityand worker-task matching.The modelconsistedof acapabilityassessment model basedonlinear programmingand TOPSIS，and a worker-task matching model based on matching functionlearning.Experiments were conductedon a real-worldcrowdsourcingdatasetcomprising9450tasks，8747workers，and98940bidingrecords.Theresultsdemonstrate thattheproposedmodel significantlyimproves task publishersatisfactionandoutperforms baseline modelsinmetricssuchas top-hAccandMRR.Thisstudyhighlights theefectivenessof integratingcapabilityandmatchabilityfor workerselectionand provides a novel approach to enhancing task allocation mechanisms in software crowdsourcing platforms.
Key words：software crowdsourcing；crowdsourcing worker；selection model；capability assessment；matching model
0 引言
众包（crowdsourcing）是一种采购企业外部劳动力完成任务的策略，已经广泛应用于各种领域和任务，如药物发明、图片标记和图标设计等[1]。（剩余20066字）