Location-dependent query processing: Where we are and where we are heading

S Ilarri, E Mena, A Illarramendi - ACM computing surveys (CSUR), 2010 - dl.acm.org
The continuous development of wireless networks and mobile devices has motivated an
intense research in mobile data services. Some of these services provide the user with …

From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks

CV Cannistraci, G Alanis-Lobato, T Ravasi - Scientific reports, 2013 - nature.com
Growth and remodelling impact the network topology of complex systems, yet a general
theory explaining how new links arise between existing nodes has been lacking and little is …

A simple baseline for travel time estimation using large-scale trip data

H Wang, X Tang, YH Kuo, D Kifer, Z Li - ACM Transactions on Intelligent …, 2019 - dl.acm.org
The increased availability of large-scale trajectory data provides rich information for the
study of urban dynamics. For example, New York City Taxi 8 Limousine Commission …

Machine learning dismantling and early-warning signals of disintegration in complex systems

M Grassia, M De Domenico, G Mangioni - Nature communications, 2021 - nature.com
From physics to engineering, biology and social science, natural and artificial systems are
characterized by interconnected topologies whose features–eg, heterogeneous connectivity …

Maximizing the number of worker's self-selected tasks in spatial crowdsourcing

D Deng, C Shahabi, U Demiryurek - Proceedings of the 21st acm …, 2013 - dl.acm.org
With the progress of mobile devices and wireless broadband, a new eMarket platform,
termed spatial crowdsourcing is emerging, which enables workers (aka crowd) to perform a …

TripPlanner: Personalized trip planning leveraging heterogeneous crowdsourced digital footprints

C Chen, D Zhang, B Guo, X Ma… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Planning an itinerary before traveling to a city is one of the most important travel preparation
activities. In this paper, we propose a novel framework called TripPlanner, leveraging a …

pRide: Privacy-Preserving Ride Matching Over Road Networks for Online Ride-Hailing Service

Y Luo, X Jia, S Fu, M Xu - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
An online ride-hailing (ORH) service, such as Uber and Didi Chuxing, can provide on-
demand transportation service to users via mobile phones, which brings great convenience …

The optimal sequenced route query

M Sharifzadeh, M Kolahdouzan, C Shahabi - The VLDB journal, 2008 - Springer
Real-world road-planning applications often result in the formulation of new variations of the
nearest neighbor (NN) problem requiring new solutions. In this paper, we study an …

Last-mile delivery made practical: An efficient route planning framework with theoretical guarantees

Y Zeng, Y Tong, L Chen - Proceedings of the VLDB Endowment, 2019 - dl.acm.org
Last-mile delivery (LMD) refers to the movement of goods from transportation origins to the
final destinations. It has widespread applications such as urban logistics, e-commerce, etc …

Privacy-aware mobile services over road networks

T Wang, L Liu - Proceedings of the VLDB Endowment, 2009 - dl.acm.org
Consider a mobile client who travels over roads and wishes to receive location-based
services (LBS) from untrusted service providers. How might the user obtain such services …