STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location
(2017)
Presentation / Conference Contribution
Al-Molegi, A., Jabreel, M., & Ghaleb, B. (2016, December). STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location. Presented at 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, Greece
This paper proposes a novel model called Space Time Features-based Recurrent Neural Network (STF-RNN) for predicting people next movement based on mobility patterns obtained from GPS devices logs. Two main features are involved in model operations, n... Read More about STF-RNN: Space Time Features-based Recurrent Neural Network for predicting people next location.