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Topic: [ANN] CrowdPrecision ITS - Quality Crowdsourcing on Blockchain (Read 1751 times)
Your project CrowdPrecision was listed on CryptoKrunch.io!
Follow https://cryptokrunch.io/en/ico/CrowdPrecision to check it.
Please contact us if any ICO information is missing or incorrect.
Follow https://cryptokrunch.io/en/ico/CrowdPrecision to check it.
Please contact us if any ICO information is missing or incorrect.
Hello, CrowdPrecision team!
Your rating was updated https://icoholder.com/en/crowdprecision-21497 🔥 . Congratulations!
Your rating was updated https://icoholder.com/en/crowdprecision-21497 🔥 . Congratulations!
October 10, 2018, 04:44:48 PM
First of all, I like the fact that this project takes into account workers in developing countries. They should occupy an important position in the revitalizing cloud work market.
August 03, 2018, 09:36:11 AM
CrowdPrecision tackles two of the most significant challenges in current Crowdsourcing applications - quality control of the work submitted and fast and cost-effective payment mechanisms
August 03, 2018, 04:41:42 AM
CrowdPrecision has decided to freeze its ITS for now.
The crypto market has indefinately weakened. After the hype swapped out of the crypto scene itself last autumn the percentage of fake ICOs has grown, spam and scam have grown bigger and thus investors became more aware and less trustful.
We are aware that due to lacking security, the scene is suffering, since too many ICOs simply vanquished with the money collected.
As a consequence the crypto market hype came to an utter end and now it seems to need a way to restore trust.
Our ambition was and still is to create a software that makes crowdsourcing more secure, transparent, easier to manage and more trustworthy, resulting in higher loans for workers and lower wages for employers.
The costs were aimed to be gathered through the ITS.
Due to the bad market situation CrowdPrecision will not have the ITS run at this time.
We'll rather develope a running system able to provide our ambition on private investments.
If we ever, at a later time, run an ITS, anyone who earned a bounty through our campaign will still be on our list of beneficials.
We thank all supporters for their efforts and hope for a better future for the crypto market.
Thomas Tran-Gia and the CrowdPrecision Team
The crypto market has indefinately weakened. After the hype swapped out of the crypto scene itself last autumn the percentage of fake ICOs has grown, spam and scam have grown bigger and thus investors became more aware and less trustful.
We are aware that due to lacking security, the scene is suffering, since too many ICOs simply vanquished with the money collected.
As a consequence the crypto market hype came to an utter end and now it seems to need a way to restore trust.
Our ambition was and still is to create a software that makes crowdsourcing more secure, transparent, easier to manage and more trustworthy, resulting in higher loans for workers and lower wages for employers.
The costs were aimed to be gathered through the ITS.
Due to the bad market situation CrowdPrecision will not have the ITS run at this time.
We'll rather develope a running system able to provide our ambition on private investments.
If we ever, at a later time, run an ITS, anyone who earned a bounty through our campaign will still be on our list of beneficials.
We thank all supporters for their efforts and hope for a better future for the crypto market.
Thomas Tran-Gia and the CrowdPrecision Team
CrowdScience #12: Recommender systems
For designing recommender systems it is necessary to understand the behavior and preferences of workers carrying out tasks via crowdsourcing platforms. Here's an empirical study to gain more insights:
http://ow.ly/keWO50i4ato
For designing recommender systems it is necessary to understand the behavior and preferences of workers carrying out tasks via crowdsourcing platforms. Here's an empirical study to gain more insights:
http://ow.ly/keWO50i4ato
CrowdScience #11: Methods for Crowdtesting
Our next chapter deals with different methods for QoE assessment with crowdsourcing. Matthias Hirth and Phuoc Tran-Gia present a collection of best practices:
http://ow.ly/TtFd50i3wps
Our next chapter deals with different methods for QoE assessment with crowdsourcing. Matthias Hirth and Phuoc Tran-Gia present a collection of best practices:
http://ow.ly/TtFd50i3wps
Hi there! We've conducted a primary evaluation of your project and made a SWOT analysis, identifying the lack of well-known large companies among the project's partners and low level of trust of VC investors as the main project's weakness: https://swot.digrate.com/report/4587c313-2946-4e5a-a312-ecb14c67a58d. Please note that this is not an official statement, we just use it for our internal purposes, the SWOT does not provide deep understanding of ICO and was made automatically based on data published in open sources. What do you think about it?
Hello, CrowdPrecision team!
Your rating was updated https://icoholder.com/en/crowdprecision-21497 🔥 . Congratulations!
Your rating was updated https://icoholder.com/en/crowdprecision-21497 🔥 . Congratulations!
Thank you very much!
CrowdScience #10: Network Measurements
Matthias Hirth and Phuoc Tran-Gia research the impact of video traffic on access networks by comparing measurements of a global content delivery network (CDN):
http://ow.ly/8gxF50i0pfz
Matthias Hirth and Phuoc Tran-Gia research the impact of video traffic on access networks by comparing measurements of a global content delivery network (CDN):
http://ow.ly/8gxF50i0pfz
CrowdScience #9: Scientific Crowdsourcing Experiments
Matthias Hirth summarizes “Best Practices and Recommendations for Crowdsourced QoE - Lessons learned from the Qualinet Task Force ‘Crowdsourcing‘“.
http://ow.ly/cI1R50i0mz7
Matthias Hirth summarizes “Best Practices and Recommendations for Crowdsourced QoE - Lessons learned from the Qualinet Task Force ‘Crowdsourcing‘“.
http://ow.ly/cI1R50i0mz7
CrowdScience #8: Application Layer Monitoring for Quality Assurance
In “Predicting Result Quality in #Crowdsourcing Using Application Layer Monitoring“ you'll find out how an ALM can check the workers‘ interactions with the task interface:
http://ow.ly/4D6050i0l3C
In “Predicting Result Quality in #Crowdsourcing Using Application Layer Monitoring“ you'll find out how an ALM can check the workers‘ interactions with the task interface:
http://ow.ly/4D6050i0l3C
CrowdScience #7: Assessment of Emotions through Crowdsourcing
In this paper the significance of users‘ emotive scales in a #crowdsourcing context is analyzed:
http://ow.ly/kYpL50hXbgO
In this paper the significance of users‘ emotive scales in a #crowdsourcing context is analyzed:
http://ow.ly/kYpL50hXbgO
CrowdScience #6: External Tools for Subjective Quality Assessment
In his paper “Survey of Web-based #Crowdsourcing Frameworks for Subjective Quality Assessment“ Matthias Hirth focuses on web-based frameworks for multimedia quality assessments:
http://ow.ly/Nas450hXa8M
In his paper “Survey of Web-based #Crowdsourcing Frameworks for Subjective Quality Assessment“ Matthias Hirth focuses on web-based frameworks for multimedia quality assessments:
http://ow.ly/Nas450hXa8M
Attention!
We’ve decided to extend our KYC process to August 12th 2018. Until then everyone can still submit their personal data to the KYC process.
Our Initial Token Sale will start on August 13th and end on August 19th 2018.
Visit us on https://crowdprecision.io/ and join the KYC-Process.
We’ve decided to extend our KYC process to August 12th 2018. Until then everyone can still submit their personal data to the KYC process.
Our Initial Token Sale will start on August 13th and end on August 19th 2018.
Visit us on https://crowdprecision.io/ and join the KYC-Process.
CrowdScience #5: Quality Assurance
In this paper two crowd-based approaches are evaluated regarding fraud detection quality, expenses and scope of applicabilty:
http://ow.ly/W2K150hX875
In this paper two crowd-based approaches are evaluated regarding fraud detection quality, expenses and scope of applicabilty:
http://ow.ly/W2K150hX875
CrowdScience #4: Development of Crowdsourcing Platforms
In „Modeling of Crowdsourcing Platforms and Granularity of Work Organization in Future Internet“ Matthias Hirth and Phuoc Tran-Gia analyse the dynamics of a crowdsourcing platform.
https://t.co/WuDAvTJ5FN
In „Modeling of Crowdsourcing Platforms and Granularity of Work Organization in Future Internet“ Matthias Hirth and Phuoc Tran-Gia analyse the dynamics of a crowdsourcing platform.
https://t.co/WuDAvTJ5FN
CrowdPrecision tackles two of the most significant challenges in current Crowdsourcing applications - quality control of the work submitted and fast and cost-effective payment mechanisms
this is a promising project with an interesting concept will certainly be able to attract many investors to join and this project will be able to achieve success with satisfactory results.
CrowdScience #3: User Valuations or Quality of Experience
In „Quantification of YouTube QoE via Crowdsourcing“ Matthias Hirth and Phuoc Tran-Gia present a QoE model for YouTube as well as a subjective QoE methodology based on #crowdsourcing:
https://t.co/fDRXLR4yTO
In „Quantification of YouTube QoE via Crowdsourcing“ Matthias Hirth and Phuoc Tran-Gia present a QoE model for YouTube as well as a subjective QoE methodology based on #crowdsourcing:
https://t.co/fDRXLR4yTO
Prof. Phuoc Tran-Gia (Co-founder & Head of Finance of CrowdPrecision) presented CrowdPrecision at the Echelon Asia Summit in Singapore.
http://ow.ly/H5Nd50hThhg
http://ow.ly/H5Nd50hThhg
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