An attribute-based scheme for service recommendation using association rules and ant colony algorithm

Zhikui Chen, Zhuang Shao, Zhijiang Xie, Xiaodi Huang

Research output: Book chapter/Published conference paperConference paper

4 Citations (Scopus)

Abstract

With the rapid development of m-commerce, predicting user's navigation and making the service recommendation become more and more important. Most researches focus on predicting user's navigation using context history and user preferences. But, the influence of the attributes of a service has been ignored. Simultaneously, some attributes are variable, so the recommendations are changeable. Therefore, the paper proposes an attribute-based scheme for service recommendation based on CASUP (context-aware system considering user preference). In proposed approach, the services are classified into several service clusters, and the service recommendations are carried out using Apriori algorithm and ant colony algorithm. Finally, the proposed model is validated by several simulation experiments, which demonstrate the effects of the service attributes in m-commerce.
Original languageEnglish
Title of host publicationWTS 2010
Place of PublicationUSA
PublisherIEEE
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 2010
EventIEEE Wireless Telecommunications Symposium (WTS) - Tampa, FL
Duration: 21 Apr 201023 Apr 2010

Conference

ConferenceIEEE Wireless Telecommunications Symposium (WTS)
Period21/04/1023/04/10

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Association rules
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Experiments

Cite this

Chen, Zhikui ; Shao, Zhuang ; Xie, Zhijiang ; Huang, Xiaodi. / An attribute-based scheme for service recommendation using association rules and ant colony algorithm. WTS 2010. USA : IEEE, 2010. pp. 1-6
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title = "An attribute-based scheme for service recommendation using association rules and ant colony algorithm",
abstract = "With the rapid development of m-commerce, predicting user's navigation and making the service recommendation become more and more important. Most researches focus on predicting user's navigation using context history and user preferences. But, the influence of the attributes of a service has been ignored. Simultaneously, some attributes are variable, so the recommendations are changeable. Therefore, the paper proposes an attribute-based scheme for service recommendation based on CASUP (context-aware system considering user preference). In proposed approach, the services are classified into several service clusters, and the service recommendations are carried out using Apriori algorithm and ant colony algorithm. Finally, the proposed model is validated by several simulation experiments, which demonstrate the effects of the service attributes in m-commerce.",
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Chen, Z, Shao, Z, Xie, Z & Huang, X 2010, An attribute-based scheme for service recommendation using association rules and ant colony algorithm. in WTS 2010. IEEE, USA, pp. 1-6, IEEE Wireless Telecommunications Symposium (WTS), 21/04/10. https://doi.org/10.1109/WTS.2010.5479624

An attribute-based scheme for service recommendation using association rules and ant colony algorithm. / Chen, Zhikui; Shao, Zhuang; Xie, Zhijiang; Huang, Xiaodi.

WTS 2010. USA : IEEE, 2010. p. 1-6.

Research output: Book chapter/Published conference paperConference paper

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AU - Chen, Zhikui

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AU - Xie, Zhijiang

AU - Huang, Xiaodi

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = USA: IEEE, 2010. editor/s (773b) = unknown; Event dates (773o) = 21-23 April 2010; Parent title (773t) = IEEE Wireless Telecommunications Symposium (WTS). ISSNs: 1934-5070;

PY - 2010

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AB - With the rapid development of m-commerce, predicting user's navigation and making the service recommendation become more and more important. Most researches focus on predicting user's navigation using context history and user preferences. But, the influence of the attributes of a service has been ignored. Simultaneously, some attributes are variable, so the recommendations are changeable. Therefore, the paper proposes an attribute-based scheme for service recommendation based on CASUP (context-aware system considering user preference). In proposed approach, the services are classified into several service clusters, and the service recommendations are carried out using Apriori algorithm and ant colony algorithm. Finally, the proposed model is validated by several simulation experiments, which demonstrate the effects of the service attributes in m-commerce.

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