PROJECT TITLE:

A Crowdsourcing Worker Quality Evaluation Algorithm on Mapreduce for Big Data Applications - 2016

ABSTRACT:

Crowdsourcing may be a new rising distributed computing and business model on the backdrop of Internet blossoming. With the development of crowdsourcing systems, the info size of crowdsourcers, contractors and tasks grows rapidly. The employee quality evaluation based mostly on huge data analysis technology has become a important challenge. This paper first proposes a general worker quality analysis algorithm that is applied to any crucial tasks like tagging, matching, filtering, categorization and many different rising applications, without wasting resources. Second, we have a tendency to notice the evaluation algorithm within the Hadoop platform using the MapReduce parallel programming model. Finally, to effectively verify the accuracy and also the effectiveness of the algorithm during a large choice of massive information scenarios, we have a tendency to conduct a series of experiments. The experimental results demonstrate that the proposed algorithm is accurate and effective. It has high computing performance and horizontal scalability. And it's appropriate for large-scale employee quality evaluations in a massive data surroundings.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Short Text Topic Modeling Techniques, Applications, and Performance: A Survey ABSTRACT: The semantic understanding of short texts is required for a wide variety of real-world applications, so their analysis allows
PROJECT TITLE : An Edge Computing-based Photo Crowdsourcing Framework for Real-time 3D Reconstruction ABSTRACT: The process of image-based three-dimensional (3D) reconstruction takes a collection of photographs and uses them
PROJECT TITLE : Cleaning Uncertain Data with Crowdsourcing - a General Model with Diverse Accuracy Rates ABSTRACT: The uncertainty of data has emerged as a significant challenge for database management systems as a result of
PROJECT TITLE : Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition ABSTRACT: Although face expression is fundamental to human experience, most previous databases and studies
PROJECT TITLE :Efficient and Flexible Crowdsourcing of Specialized Tasks With Precedence Constraints - 2018ABSTRACT:Several companies currently use crowdsourcing to leverage external furthermore internal crowds to perform specialized

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry