A recommendation algorithm based on dynamic user preference and service quality

Yanmei Zhang; Ya Qian; Yan Wang

doi:10.1109/ICWS.2018.00019

A recommendation algorithm based on dynamic user preference and service quality

Yanmei Zhang, Ya Qian, Yan Wang

School of Computing

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

13 Citations (Scopus)

Abstract

In the field of service computing, user preferences and service quality may change with time, environment and other factors. A recommendation algorithm that considers both the dynamic characteristics of users and the dynamic quality of services (QoS) is proposed in this paper. On the one hand, this algorithm uses the temporal LDA (Latent Dirichlet Allocation) model to mine dynamic user preferences. On the other hand, it considers the dynamic changes of QoS and focuses on the latest QoS. The service recommendation list is then generated for the user based on dynamic user preferences and dynamic QoS. Experimental results on a real-world dataset show that the proposed algorithm outperforms some classic algorithms and the state-of-the-art algorithms in terms of accuracy, recall and diversity.

Original language	English
Title of host publication	Proceedings, 2018 IEEE International Conference on Web Services
Subtitle of host publication	IEEE ICWS 2018, Part of the 2018 IEEE World Congress on Services
Place of Publication	Los Alamitos, California
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	91-98
Number of pages	8
ISBN (Electronic)	9781538672471
ISBN (Print)	9781538672488
DOIs	https://doi.org/10.1109/ICWS.2018.00019
Publication status	Published - 2018
Event	25th IEEE International Conference on Web Services ICWS 2018 - San Francisco, United States Duration: 2 Jul 2018 → 7 Jul 2018

Conference

Conference	25th IEEE International Conference on Web Services ICWS 2018
Country/Territory	United States
City	San Francisco
Period	2/07/18 → 7/07/18

Keywords

service composition
service recommendation
user preference
LDA
quality of services
Quality of service
Service composition
Service recommendation
User preference

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10.1109/ICWS.2018.00019

Cite this

Zhang, Y., Qian, Y., & Wang, Y. (2018). A recommendation algorithm based on dynamic user preference and service quality. In Proceedings, 2018 IEEE International Conference on Web Services: IEEE ICWS 2018, Part of the 2018 IEEE World Congress on Services (pp. 91-98). Article 8456336 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICWS.2018.00019

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title = "A recommendation algorithm based on dynamic user preference and service quality",

abstract = "In the field of service computing, user preferences and service quality may change with time, environment and other factors. A recommendation algorithm that considers both the dynamic characteristics of users and the dynamic quality of services (QoS) is proposed in this paper. On the one hand, this algorithm uses the temporal LDA (Latent Dirichlet Allocation) model to mine dynamic user preferences. On the other hand, it considers the dynamic changes of QoS and focuses on the latest QoS. The service recommendation list is then generated for the user based on dynamic user preferences and dynamic QoS. Experimental results on a real-world dataset show that the proposed algorithm outperforms some classic algorithms and the state-of-the-art algorithms in terms of accuracy, recall and diversity.",

keywords = "service composition, service recommendation, user preference, LDA, quality of services, Quality of service, Service composition, Service recommendation, User preference",

author = "Yanmei Zhang and Ya Qian and Yan Wang",

year = "2018",

doi = "10.1109/ICWS.2018.00019",

language = "English",

isbn = "9781538672488",

pages = "91--98",

booktitle = "Proceedings, 2018 IEEE International Conference on Web Services",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "25th IEEE International Conference on Web Services ICWS 2018 ; Conference date: 02-07-2018 Through 07-07-2018",

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Zhang, Y, Qian, Y & Wang, Y 2018, A recommendation algorithm based on dynamic user preference and service quality. in Proceedings, 2018 IEEE International Conference on Web Services: IEEE ICWS 2018, Part of the 2018 IEEE World Congress on Services., 8456336, Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, California, pp. 91-98, 25th IEEE International Conference on Web Services ICWS 2018, San Francisco, California, United States, 2/07/18. https://doi.org/10.1109/ICWS.2018.00019

A recommendation algorithm based on dynamic user preference and service quality. / Zhang, Yanmei; Qian, Ya; Wang, Yan.
Proceedings, 2018 IEEE International Conference on Web Services: IEEE ICWS 2018, Part of the 2018 IEEE World Congress on Services. Los Alamitos, California: Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 91-98 8456336.

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

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AU - Qian, Ya

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N2 - In the field of service computing, user preferences and service quality may change with time, environment and other factors. A recommendation algorithm that considers both the dynamic characteristics of users and the dynamic quality of services (QoS) is proposed in this paper. On the one hand, this algorithm uses the temporal LDA (Latent Dirichlet Allocation) model to mine dynamic user preferences. On the other hand, it considers the dynamic changes of QoS and focuses on the latest QoS. The service recommendation list is then generated for the user based on dynamic user preferences and dynamic QoS. Experimental results on a real-world dataset show that the proposed algorithm outperforms some classic algorithms and the state-of-the-art algorithms in terms of accuracy, recall and diversity.

AB - In the field of service computing, user preferences and service quality may change with time, environment and other factors. A recommendation algorithm that considers both the dynamic characteristics of users and the dynamic quality of services (QoS) is proposed in this paper. On the one hand, this algorithm uses the temporal LDA (Latent Dirichlet Allocation) model to mine dynamic user preferences. On the other hand, it considers the dynamic changes of QoS and focuses on the latest QoS. The service recommendation list is then generated for the user based on dynamic user preferences and dynamic QoS. Experimental results on a real-world dataset show that the proposed algorithm outperforms some classic algorithms and the state-of-the-art algorithms in terms of accuracy, recall and diversity.

KW - service composition

KW - service recommendation

KW - user preference

KW - LDA

KW - quality of services

KW - Quality of service

KW - Service composition

KW - Service recommendation

KW - User preference

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M3 - Conference proceeding contribution

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BT - Proceedings, 2018 IEEE International Conference on Web Services

PB - Institute of Electrical and Electronics Engineers (IEEE)

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T2 - 25th IEEE International Conference on Web Services ICWS 2018

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Zhang Y, Qian Y, Wang Y. A recommendation algorithm based on dynamic user preference and service quality. In Proceedings, 2018 IEEE International Conference on Web Services: IEEE ICWS 2018, Part of the 2018 IEEE World Congress on Services. Los Alamitos, California: Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 91-98. 8456336 doi: 10.1109/ICWS.2018.00019

A recommendation algorithm based on dynamic user preference and service quality

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