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News Presenting our paper on Early Destination Prediction with Spatio-temporal User Behavior Patterns in UbiComp 2018

Presenting our paper on Early Destination Prediction with Spatio-temporal User Behavior Patterns in UbiComp 2018

2018/10/18 | NewsPresentations | 1550 views |

The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2018) was held from 8th October 2018 to 12th October 2018 at the Suntec Convention Center, Singapore.

The following oral presentation was delivered.

UBICOMP  day 3 TRACK 2 “Cities and their Mobility” 2018-10-11 (Thu.) 16:00 – 17:30
Early Destination Prediction with Spatio-temporal User-Behavior Patterns
Ryo Imai, Kota Tsubouchi, Tatsuya Konishi, Masamichi Shimosaka
––––––––

We propose a new probabilistic destination prediction model based on two conventional models,
trajectory tracking that narrows down the candidates with respect to the trip progress, and Next Place Prediction (NPP) that infers the future location of a user from user habits.

The advantage of our model is that it drastically narrows down the destination candidates efficiently at the early stage of a trip, owing to the staying information derived from the NPP approach.

The proposed method provides improved performance compared to conventional approaches based on the experimental results using the GPS logs of 1,646 actual users from the commercial services.

This paper will be presented in
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
in December 2017, all the papers presented in UbiComp are also published in IMWUT thanks to the review system in UbiComp community.

– Presentation information –
UBICOMP2018 day 3 TRACK 2 “Cities and their Mobility” 2018-10-11 (Thu.) 16:00 – 17:30
Early Destination Prediction with Spatio-temporal User-Behavior Patterns
Ryo Imai, Kota Tsubouchi, Tatsuya Konishi, Masamichi Shimosaka

– Conference Information –
UbiComp2018 Home
UbiComp2018 Program

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