A Unified Theory of the Mobile Sequential Recommendation Problem

Zeyang Ye; Keli Xiao; Yuefan Deng

doi:10.1109/ICDM.2018.00189

A Unified Theory of the Mobile Sequential Recommendation Problem

Zeyang Ye, Keli Xiao, Yuefan Deng

Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2018 IEEE International Conference on Data Mining, ICDM 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1380-1385
Number of pages	6
ISBN (Electronic)	9781538691588
DOIs	https://doi.org/10.1109/ICDM.2018.00189
State	Published - Dec 27 2018
Event	18th IEEE International Conference on Data Mining, ICDM 2018 - Singapore, Singapore Duration: Nov 17 2018 → Nov 20 2018

Publication series

Name	Proceedings - IEEE International Conference on Data Mining, ICDM
Volume	2018-November
ISSN (Print)	1550-4786

Conference

Conference	18th IEEE International Conference on Data Mining, ICDM 2018
Country/Territory	Singapore
City	Singapore
Period	11/17/18 → 11/20/18

Keywords

Expected traveling time
Mobile sequential recommendation
Potential traveling distance

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICDM.2018.00189

Cite this

Ye, Z., Xiao, K., & Deng, Y. (2018). A Unified Theory of the Mobile Sequential Recommendation Problem. In 2018 IEEE International Conference on Data Mining, ICDM 2018 (pp. 1380-1385). Article 8594998 (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM.2018.00189

A Unified Theory of the Mobile Sequential Recommendation Problem. / Ye, Zeyang; Xiao, Keli; Deng, Yuefan.
2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1380-1385 8594998 (Proceedings - IEEE International Conference on Data Mining, ICDM; Vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ye, Z, Xiao, K & Deng, Y 2018, A Unified Theory of the Mobile Sequential Recommendation Problem. in 2018 IEEE International Conference on Data Mining, ICDM 2018., 8594998, Proceedings - IEEE International Conference on Data Mining, ICDM, vol. 2018-November, Institute of Electrical and Electronics Engineers Inc., pp. 1380-1385, 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, Singapore, 11/17/18. https://doi.org/10.1109/ICDM.2018.00189

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N2 - 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.

AB - 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.

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A Unified Theory of the Mobile Sequential Recommendation Problem

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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