STLP-GSM: a method to predict future locations of individuals based on geotagged social media data

Keyphrases

• Individual-based 100%
• Geotagged Social Media Data 100%
• Geotagged Posts 100%
• Social Media Users 66%
• Prediction Accuracy 33%
• State-of-the-art Techniques 33%
• Feature Weight 33%
• GPS Data 33%
• Multi-feature 33%
• Temporal Location 33%
• Spatiotemporal 33%
• Quality Prediction 33%
• Parameter Adaptation 33%
• Update Strategy 33%
• Human Mobility Patterns 33%
• Mobility Prediction 33%
• User Mobility Patterns 33%
• Bayesian Modeling 33%
• Dense Datasets 33%
• Density-based Clustering Algorithm 33%
• Next Place Prediction 33%
• Next Location Prediction 33%
• Spatio-temporal Prediction 33%
• Reliability Prediction 33%
• Real-life Dataset 33%

Engineering

• Real Life 100%
• State-of-the-Art Method 100%
• GPS Data 100%
• Clustering Algorithm 100%
• Reliability Prediction 100%
• Data Source 100%
• Bayesian Model 100%

Computer Science

• Social Medium User 100%
• Social Medium Data 100%
• Data Source 50%
• Prediction Accuracy 50%
• Adaptive Parameter 50%
• Bayesian Model 50%
• Clustering Algorithm 50%
• Reliability Prediction 50%
• Global Positioning System 50%