Results 81 to 90 of about 94,397 (161)

Online social networks for crowdsourced multimedia-involved behavioral testing: An empirical study

open access: yesFrontiers in Psychology, 2016
Online social networks have emerged as effective crowdsourcing media to recruit participants in recent days. However, issues regarding how to effectively exploit them have not been adequately addressed yet.
Jun-Ho eChoi   +3 more
doaj   +1 more source

Reseacrh on the Relationship of Relationship Quality , Crowdsourcing Quality and Enterprise Innovation Performance:Moderating Role of Dynamic Capabilities

open access: yesZhishi guanli luntan, 2018
[Purpose/significance] The model of Crowdsourcing provides a breakthrough for enterprise external innovation, which can reduce the cost of innovation and reduce innovation performance. However, the effect
LU Xinyuan   +3 more
doaj   +1 more source

Before and Beyond Anticipatory Intelligence: Assessing the Potential for Crowdsourcing and Intelligence Studies

open access: yesJournal of Strategic Security, 2015
Crowdsourcing is a new tool for businesses, academics, and now intelligence analysts. Enabled by recent technology, crowdsourcing allows researchers to harness the wisdom of crowds and provide recommendations and insight into complex problems. This paper
Alexander Halman
doaj   +1 more source

Group Rotation Type Crowdsourcing [PDF]

open access: yesarXiv, 2016
A common workflow to perform a continuous human task stream is to divide workers into groups, have one group perform the newly-arrived task, and rotate the groups. We call this type of workflow the group rotation. This paper addresses the problem of how to manage Group Rotation Type Crowdsourcing, the group rotation in a crowdsourcing setting.
arxiv  

Mobile Crowdsourced Sensors Selection for Journey Services [PDF]

open access: yesarXiv, 2018
We propose a mobile crowdsourced sensors selection approach to improve the journey planning service especially in areas where no wireless or vehicular sensors are available. We develop a location estimation model of journey services based on an unsupervised learning model to select and cluster the right mobile crowdsourced sensors that are accurately ...
arxiv  

Challenges and Opportunities of Crowdsourcing and Participatory Planning in Developing Infrastructure Systems of Smart Cities

open access: yesInfrastructures, 2018
The concept of Smart City aims to provide its citizens with infrastructure systems that make cities safer and more livable. One of the methods for doing so is collecting data from the crowd itself—termed crowdsourcing—and incorporating their ideas to ...
Parul Srivastava, Ali Mostafavi
doaj   +1 more source

Subjective Knowledge Acquisition and Enrichment Powered By Crowdsourcing [PDF]

open access: yesarXiv, 2017
Knowledge bases (KBs) have attracted increasing attention due to its great success in various areas, such as Web and mobile search.Existing KBs are restricted to objective factual knowledge, such as city population or fruit shape, whereas,subjective knowledge, such as big city, which is commonly mentioned in Web and mobile queries, has been neglected ...
arxiv  

Blockchain-Assisted Crowdsourced Energy Systems [PDF]

open access: yesarXiv, 2018
Crowdsourcing relies on people's contributions to meet product- or system-level objectives. Crowdsourcing-based methods have been implemented in various cyber-physical systems and realtime markets. This paper explores a framework for Crowdsourced Energy Systems (CES), where small-scale energy generation or energy trading is crowdsourced from ...
arxiv  

From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data [PDF]

open access: yesarXiv, 2019
With the development of mobile social networks, more and more crowdsourced data are generated on the Web or collected from real-world sensing. The fragment, heterogeneous, and noisy nature of online/offline crowdsourced data, however, makes it difficult to be understood.
arxiv  

Bayesian Detector Combination for Object Detection with Crowdsourced Annotations [PDF]

open access: yesarXiv
Acquiring fine-grained object detection annotations in unconstrained images is time-consuming, expensive, and prone to noise, especially in crowdsourcing scenarios. Most prior object detection methods assume accurate annotations; A few recent works have studied object detection with noisy crowdsourced annotations, with evaluation on distinct synthetic ...
arxiv  

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