Results 101 to 110 of about 232 (178)

Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich. [PDF]

Eur Transp Res Rev, 2021
Mahajan V, Cantelmo G, Antoniou C.
europepmc   +1 more source

Dynamic predictability and activity-location contexts in human mobility. [PDF]

R Soc Open Sci
Poudyal B, Pacheco D, Oliveira M, Chen Z, Barbosa HS, Menezes R, Ghoshal G.   +6 more
europepmc   +1 more source

The performance of exceptional public buildings on social media-The case of Depot Boijmans. [PDF]

PLoS One, 2023
Alaily-Mattar N, Arvanitakis D, Krohberger H, Legner LF, Thierstein A.   +4 more
europepmc   +1 more source

Accurate POI recommendation for random groups with improved graph neural networks and a multi-negotiation model. [PDF]

Sci Rep
Song X, Liu Z, Meng L, Chu D, Yu J, Sheng QZ.   +5 more
europepmc   +1 more source

Multi-granularity contrastive learning model for next POI recommendation. [PDF]

Front Neurorobot
Zhu Y, Yao S, Sun X.
europepmc   +1 more source

A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users. [PDF]

Comput Intell Neurosci, 2016
Ravi L, Vairavasundaram S.
europepmc   +1 more source

An Improved HMM-Based Approach for Planning Individual Routes Using Crowd Sourcing Spatiotemporal Data. [PDF]

Sensors (Basel), 2020
Wu T, Zeng Z, Qin J, Xiang L, Wan Y.
europepmc   +1 more source

Vector fields as a framework for modelling the mobility of commodities. [PDF]

PLoS One
Farokhnejad S, da Mata AS, Macedo M, Menezes R.   +3 more
europepmc   +1 more source

Detecting and Reducing Biases in Cellular-Based Mobility Data Sets. [PDF]

Entropy (Basel), 2018
Rodriguez-Carrion A, Garcia-Rubio C, Campo C.   +2 more
europepmc   +1 more source