A survey on trajectory data management, analytics, and learning

S Wang, Z Bao, JS Culpepper, G Cong - ACM Computing Surveys …, 2021 - dl.acm.org
Recent advances in sensor and mobile devices have enabled an unprecedented increase
in the availability and collection of urban trajectory data, thus increasing the demand for …

A survey on trajectory data mining: Techniques and applications

Z Feng, Y Zhu - IEEE Access, 2016 - ieeexplore.ieee.org
Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …

Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors

Z Li, H Zhao, Q Liu, Z Huang, T Mei… - Proceedings of the 24th …, 2018 - dl.acm.org
In the modern e-commerce, the behaviors of customers contain rich information, eg,
consumption habits, the dynamics of preferences. Recently, session-based …

[PDF][PDF] Trajectory similarity join in spatial networks

S Shang, L Chen, Z Wei, CS Jensen, K Zheng… - Proceedings of the …, 2017 - vbn.aau.dk
The matching of similar pairs of objects, called similarity join, is fundamental functionality in
data management. We consider the case of trajectory similarity join (TS-Join), where the …

Spatial keyword search: a survey

L Chen, S Shang, C Yang, J Li - GeoInformatica, 2020 - Springer
Spatial keyword search has been playing an indispensable role in personalized route
recommendation and geo-textual information retrieval. In this light, we conduct a survey on …

Parallel trajectory similarity joins in spatial networks

S Shang, L Chen, Z Wei, CS Jensen, K Zheng… - The VLDB Journal, 2018 - Springer
The matching of similar pairs of objects, called similarity join, is fundamental functionality in
data management. We consider two cases of trajectory similarity joins (TS-Joins), including …

Towards efficient search for activity trajectories

K Zheng, S Shang, NJ Yuan… - 2013 IEEE 29Th …, 2013 - ieeexplore.ieee.org
The advances in location positioning and wireless communication technologies have led to
a myriad of spatial trajectories representing the mobility of a variety of moving objects. While …

Personalized trajectory matching in spatial networks

S Shang, R Ding, K Zheng, CS Jensen, P Kalnis… - The VLDB Journal, 2014 - Springer
With the increasing availability of moving-object tracking data, trajectory search and
matching is increasingly important. We propose and investigate a novel problem called …

GRLSTM: trajectory similarity computation with graph-based residual LSTM

S Zhou, J Li, H Wang, S Shang, P Han - Proceedings of the AAAI …, 2023 - ojs.aaai.org
The computation of trajectory similarity is a crucial task in many spatial data analysis
applications. However, existing methods have been designed primarily for trajectories in …

On planning sightseeing tours with TripBuilder

IR Brilhante, JA Macedo, FM Nardini, R Perego… - Information Processing …, 2015 - Elsevier
We propose T rip B uilder, an unsupervised framework for planning personalized
sightseeing tours in cities. We collect categorized Points of Interests (PoIs) from Wikipedia …