A user profile based pension service recommendation algorithm

Chunshan Li; Dianhui Chu; Xiaofei Xu; Yunfei Bu

doi:10.1109/SERVICES.2019.00110

A user profile based pension service recommendation algorithm

Harbin Institute of Technology Weihai

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

1 Scopus citations

Abstract

Recommending suitable service for elderly customers has become an important issue of modern pension service industry. In this paper, we proposed a user profile based recommendation algorithm, which consider the users' short-term behavior in pension service system such as browsing, searching, and long-term objective conditions (health status, living address, and economic condition) together to make accurate prediction. We also improved L-BFGS algorithm to enhance the convergence speed of algorithm. The extensive experiments on the real data set show that the proposed method improves the efficiency of the algorithm and the accuracy of recommendation.

Original language	English
Title of host publication	Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019
Editors	Carl K. Chang, Peter Chen, Michael Goul, Katsunori Oyama, Stephan Reiff-Marganiec, Yanchun Sun, Shangguang Wang, Zhongjie Wang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	374-375
Number of pages	2
ISBN (Electronic)	9781728138510
DOIs	https://doi.org/10.1109/SERVICES.2019.00110
State	Published - Jul 2019
Externally published	Yes
Event	2019 IEEE World Congress on Services, SERVICES 2019 - Milan, Italy Duration: 8 Jul 2019 → 13 Jul 2019

Publication series

Name	Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019

Conference

Conference	2019 IEEE World Congress on Services, SERVICES 2019
Country/Territory	Italy
City	Milan
Period	8/07/19 → 13/07/19

Keywords

Matrix factorization
Service recommendation
User profile

Access to Document

10.1109/SERVICES.2019.00110

Cite this

Li, C., Chu, D., Xu, X., & Bu, Y. (2019). A user profile based pension service recommendation algorithm. In C. K. Chang, P. Chen, M. Goul, K. Oyama, S. Reiff-Marganiec, Y. Sun, S. Wang, & Z. Wang (Eds.), Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019 (pp. 374-375). Article 8817122 (Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SERVICES.2019.00110

Li, Chunshan ; Chu, Dianhui ; Xu, Xiaofei et al. / A user profile based pension service recommendation algorithm. Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019. editor / Carl K. Chang ; Peter Chen ; Michael Goul ; Katsunori Oyama ; Stephan Reiff-Marganiec ; Yanchun Sun ; Shangguang Wang ; Zhongjie Wang. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 374-375 (Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019).

@inproceedings{fac8797e9c57499a8345d714b6ed8661,

title = "A user profile based pension service recommendation algorithm",

abstract = "Recommending suitable service for elderly customers has become an important issue of modern pension service industry. In this paper, we proposed a user profile based recommendation algorithm, which consider the users' short-term behavior in pension service system such as browsing, searching, and long-term objective conditions (health status, living address, and economic condition) together to make accurate prediction. We also improved L-BFGS algorithm to enhance the convergence speed of algorithm. The extensive experiments on the real data set show that the proposed method improves the efficiency of the algorithm and the accuracy of recommendation.",

keywords = "Matrix factorization, Service recommendation, User profile",

author = "Chunshan Li and Dianhui Chu and Xiaofei Xu and Yunfei Bu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE World Congress on Services, SERVICES 2019 ; Conference date: 08-07-2019 Through 13-07-2019",

year = "2019",

month = jul,

doi = "10.1109/SERVICES.2019.00110",

language = "英语",

series = "Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "374--375",

editor = "Chang, \{Carl K.\} and Peter Chen and Michael Goul and Katsunori Oyama and Stephan Reiff-Marganiec and Yanchun Sun and Shangguang Wang and Zhongjie Wang",

booktitle = "Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019",

address = "美国",

}

Li, C , Chu, D , Xu, X & Bu, Y 2019, A user profile based pension service recommendation algorithm. in CK Chang, P Chen, M Goul, K Oyama, S Reiff-Marganiec, Y Sun, S Wang & Z Wang (eds), Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019., 8817122, Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019, Institute of Electrical and Electronics Engineers Inc., pp. 374-375, 2019 IEEE World Congress on Services, SERVICES 2019, Milan, Italy, 8/07/19. https://doi.org/10.1109/SERVICES.2019.00110

A user profile based pension service recommendation algorithm. / Li, Chunshan ; Chu, Dianhui ; Xu, Xiaofei et al.
Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019. ed. / Carl K. Chang; Peter Chen; Michael Goul; Katsunori Oyama; Stephan Reiff-Marganiec; Yanchun Sun; Shangguang Wang; Zhongjie Wang. Institute of Electrical and Electronics Engineers Inc., 2019. p. 374-375 8817122 (Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019).

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

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AU - Chu, Dianhui

AU - Xu, Xiaofei

AU - Bu, Yunfei

PY - 2019/7

Y1 - 2019/7

N2 - Recommending suitable service for elderly customers has become an important issue of modern pension service industry. In this paper, we proposed a user profile based recommendation algorithm, which consider the users' short-term behavior in pension service system such as browsing, searching, and long-term objective conditions (health status, living address, and economic condition) together to make accurate prediction. We also improved L-BFGS algorithm to enhance the convergence speed of algorithm. The extensive experiments on the real data set show that the proposed method improves the efficiency of the algorithm and the accuracy of recommendation.

AB - Recommending suitable service for elderly customers has become an important issue of modern pension service industry. In this paper, we proposed a user profile based recommendation algorithm, which consider the users' short-term behavior in pension service system such as browsing, searching, and long-term objective conditions (health status, living address, and economic condition) together to make accurate prediction. We also improved L-BFGS algorithm to enhance the convergence speed of algorithm. The extensive experiments on the real data set show that the proposed method improves the efficiency of the algorithm and the accuracy of recommendation.

KW - Matrix factorization

KW - Service recommendation

KW - User profile

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U2 - 10.1109/SERVICES.2019.00110

DO - 10.1109/SERVICES.2019.00110

M3 - 会议稿件

AN - SCOPUS:85072778667

T3 - Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019

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BT - Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019

A2 - Chang, Carl K.

A2 - Chen, Peter

A2 - Goul, Michael

A2 - Oyama, Katsunori

A2 - Reiff-Marganiec, Stephan

A2 - Sun, Yanchun

A2 - Wang, Shangguang

A2 - Wang, Zhongjie

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE World Congress on Services, SERVICES 2019

Y2 - 8 July 2019 through 13 July 2019

ER -

Li C , Chu D , Xu X, Bu Y. A user profile based pension service recommendation algorithm. In Chang CK, Chen P, Goul M, Oyama K, Reiff-Marganiec S, Sun Y, Wang S, Wang Z, editors, Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 374-375. 8817122. (Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019). doi: 10.1109/SERVICES.2019.00110

A user profile based pension service recommendation algorithm

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