Where To: Crowd-Aided Path Selection

  title={Where To: Crowd-Aided Path Selection},
  author={Chen Jason Zhang and Yongxin Tong and Lei Chen},
With the widespread use of geo-positioning services (GPS), GPSbased navigation systems have become ever more of an integral part of our daily lives. GPS-based navigation systems usually suggest multiple paths for any given pair of source and target, leaving users perplexed when trying to select the best one among them, namely the problem of best path selection. Too many suggested paths may jeopardize the usability of the recommendation data, and decrease user satisfaction. Although existing… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 11 extracted citations

Crowdsourced Data Management: A Survey

2017 IEEE 33rd International Conference on Data Engineering (ICDE) • 2016
View 6 Excerpts
Highly Influenced

CoAcT: A Framework for Context-Aware Trip Planning Using Active Transport

2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) • 2018
View 2 Excerpts

Crowd intelligence in AI 2.0 era

Frontiers of Information Technology & Electronic Engineering • 2017

Crowdsourcing Based Evaluation of Ranking Approaches for Spatial Keyword Querying

2017 18th IEEE International Conference on Mobile Data Management (MDM) • 2017
View 2 Excerpts

Friendship-aware task planning in mobile crowdsourcing

Frontiers of Information Technology & Electronic Engineering • 2017
View 2 Excerpts


Publications referenced by this paper.
Showing 1-10 of 35 references

CrowdPlanner: A crowd-based route recommendation system

2014 IEEE 30th International Conference on Data Engineering • 2014
View 3 Excerpts

Query optimization over crowdsourced data Crowdplanner : A crowd - based route recommendation system

Jiannan Wang, Tim Kraska, J Michael

Similar Papers

Loading similar papers…