Destination Prediction by Identifying and Clustering Prominent Features from Public Trajectory Datasets

Yang, Li; Xue, Andy Yuan; Li, Yuan; Zhang, Rui

Destination Prediction by Identifying and Clustering Prominent Features from Public Trajectory Datasets

Yang, Li and Xue, Andy Yuan and Li, Yuan and Zhang, Rui (2015) Destination Prediction by Identifying and Clustering Prominent Features from Public Trajectory Datasets. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

Destination prediction is an essential task in many location-based services (LBS) such as providing targeted
advertisements and route recommendations. Most existing solutions were generative methods that model the problem
as a series of probabilistic events that are then used to compute the destin

Item Type:	Article
Date Deposited:	04 Mar 2026 10:28
Last Modified:	12 Apr 2026 10:57
URI:	http://eprints.eai.eu/id/eprint/12927

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