A Unified Theory of the Mobile Sequential Recommendation Problem

Zeyang Ye, Keli Xiao, Yuefan Deng

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

Abstract

A theory is developed to unify the original form, and its many variations, of the mobile sequential recommendation (MSR) problem. The unified theory, expressing the same MSR problem, is superior to the original form in many aspects including a more standardized form. In addition to a newly proposed expected traveling time (ETT) function to measure the quality of recommended routes, we introduce five additional improvements. Also, three essential mathematical properties of the new objective function enable the development of the methods to solve realistic MSR problems with complex conditions. The MSR solutions also support the discovered properties of the proposed objective function. The unified theory should support the long-term decision making for drivers and the traffic department in general.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Data Mining, ICDM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1380-1385
Number of pages6
ISBN (Electronic)9781538691588
DOIs
StatePublished - Dec 27 2018
Event18th IEEE International Conference on Data Mining, ICDM 2018 - Singapore, Singapore
Duration: Nov 17 2018Nov 20 2018

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
Volume2018-November
ISSN (Print)1550-4786

Conference

Conference18th IEEE International Conference on Data Mining, ICDM 2018
Country/TerritorySingapore
CitySingapore
Period11/17/1811/20/18

Keywords

  • Expected traveling time
  • Mobile sequential recommendation
  • Potential traveling distance

ASJC Scopus subject areas

  • Engineering(all)

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