A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services

4 Sep 2018 • Ahmed Ben Said • Abdelkarim Erradi • Azadeh Ghari Neiat • Athman Bouguettaya

This papers presents a deep learning-based framework to predict crowdsourced service availability spatially and temporally. A novel two-stage prediction model is introduced based on historical spatio-temporal traces of mobile crowdsourced services... (read more)

PDF Abstract

Code
Add Remove Mark official

No code implementations yet. Submit your code now

Tasks
Add Remove

Results from the Paper
Edit

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper
Add Remove

METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet
Contact us on: [email protected]. Papers With Code is a free resource with all data licensed under CC-BY-SA.
Terms Privacy Cookies policy