Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding

Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Online taxicab platforms like DiDi and Uber have impacted hundreds of millions of users on their choices of traveling, but how do users feel about the ride-sharing services, and how to improve their experience? While current ride-sharing services have collected massive travel data, it remains challenging to develop data-driven techniques for modeling and predicting user ride experience. In this work, we aim to accurately predict passenger satisfaction over their rides and understand the key factors that lead to good/bad experiences. Based on in-depth analysis of large-scale travel data from a popular taxicab platform in China, we develop PHINE (Pattern-Aware Heterogeneous Information Network Embedding) for data-driven user experience modeling. Our PHINE framework is novel in that it is composed of spatial-Temporal node binding and grouping for addressing the inherent data variation, and pattern preservation based joint training for modeling the interactions among drivers, passengers, locations, and time. Extensive experiments on 12 real-world travel datasets demonstrate the effectiveness of PHINE over strong baseline methods. We have deployed PHINE in the DiDi Big Data Center, delivering high-quality predictions for passenger satisfaction on a daily basis.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1404-1413
Number of pages10
ISBN (Electronic)9781538655207
DOIs
StatePublished - Oct 24 2018
Event34th IEEE International Conference on Data Engineering, ICDE 2018 - Paris, France
Duration: Apr 16 2018Apr 19 2018

Publication series

NameProceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018

Other

Other34th IEEE International Conference on Data Engineering, ICDE 2018
CountryFrance
CityParis
Period4/16/184/19/18

Keywords

  • Joint Training
  • Passenger Experience
  • Representation Learning

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Hardware and Architecture

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  • Cite this

    Yang, C., Zhang, C., Chen, X., Ye, J., & Han, J. (2018). Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. In Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018 (pp. 1404-1413). [8509379] (Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDE.2018.00158