… In this section, we describe how to use such a mobility model for mobility prediction with
historical travel sequence vectors. Prediction is to discover the most probable place (hidden state…

… prediction of regional mobility patterns have yet to be effectively addressed. In light of this,
using smart card data (SCD) and points of interest … , pattern extraction, and prediction. The bus …

… In this paper, we propose a mobility prediction framework with … (ie, Points of Interest (POI))
from the user’s mobility data through our … Finally, we evaluate the prediction performance of the …

… Mobile advertising could also benefit from … prediction by 4 to 7 percentage points on average,
with some types of trips seeing an accuracy increase by as much as 15 percentage points. …

… mobility prediction split into two categories. The first group focuses on building learning
techniques to forecast the mobility … expressiveness for taxi demand prediction which is essentially …

… learning-based prediction models. Practically, it is of high value to study the … mobility
prediction with arbitrary prediction times (the time when the prediction is made) and prediction …

… points of interests and distance of trips. The effectiveness of the proposed prediction model
is tested using a massive mobile … levels of accuracy in terms of prediction error and prove the …

… Rankgeofm: A ranking based geographical factorization method for point of interest
recommendation. In … Geomf: joint geographical modeling and matrix factorization for point-of-interest …

… also plays an important role in many applications such as the display of targeted
advertisements about points of interest and shops that a user is approaching. Besides, the prior …

In this paper we present the first population-level, city-scale analysis of application usage
on smartphones. Using deep packet inspection at the network operator level, we obtained a …