A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach
Nowadays, as the Internet services increase faster than ever before, government systems are reinvented as E-government services. Therefore, government procurement sectors have to face challenges brought by the explosion of service information. This paper presents a novel method for E-government proc...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/129123 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556783044919296 |
|---|---|
| author | Shuai Zhang Chengyu Xi Yan Wang Wenyu Zhang Yanhong Chen |
| author_facet | Shuai Zhang Chengyu Xi Yan Wang Wenyu Zhang Yanhong Chen |
| author_sort | Shuai Zhang |
| collection | DOAJ |
| description | Nowadays, as the Internet services increase faster than ever before, government systems are reinvented as E-government services. Therefore, government procurement sectors have to face challenges brought by the explosion of service information. This paper presents a novel method for E-government procurement (eGP) to search for the optimal procurement scheme (OPS). Item-based collaborative filtering and Bayesian approach are used to evaluate and select the candidate services to get the top-M recommendations such that the involved computation load can be alleviated. A trapezoidal fuzzy number similarity algorithm is applied to support the item-based collaborative filtering and Bayesian approach, since some of the services’ attributes can be hardly expressed as certain and static values but only be easily represented as fuzzy values. A prototype system is built and validated with an illustrative example from eGP to confirm the feasibility of our approach. |
| format | Article |
| id | doaj-art-ebd5492e561c4f08aae0681f27e824c9 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-ebd5492e561c4f08aae0681f27e824c92025-02-03T05:44:31ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/129123129123A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian ApproachShuai Zhang0Chengyu Xi1Yan Wang2Wenyu Zhang3Yanhong Chen4School of Information, Zhejiang University of Finance and Economics, Hangzhou 310000, ChinaSchool of Information, Zhejiang University of Finance and Economics, Hangzhou 310000, ChinaSchool of Information, Zhejiang University of Finance and Economics, Hangzhou 310000, ChinaSchool of Information, Zhejiang University of Finance and Economics, Hangzhou 310000, ChinaSchool of Information, Zhejiang University of Finance and Economics, Hangzhou 310000, ChinaNowadays, as the Internet services increase faster than ever before, government systems are reinvented as E-government services. Therefore, government procurement sectors have to face challenges brought by the explosion of service information. This paper presents a novel method for E-government procurement (eGP) to search for the optimal procurement scheme (OPS). Item-based collaborative filtering and Bayesian approach are used to evaluate and select the candidate services to get the top-M recommendations such that the involved computation load can be alleviated. A trapezoidal fuzzy number similarity algorithm is applied to support the item-based collaborative filtering and Bayesian approach, since some of the services’ attributes can be hardly expressed as certain and static values but only be easily represented as fuzzy values. A prototype system is built and validated with an illustrative example from eGP to confirm the feasibility of our approach.http://dx.doi.org/10.1155/2013/129123 |
| spellingShingle | Shuai Zhang Chengyu Xi Yan Wang Wenyu Zhang Yanhong Chen A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach The Scientific World Journal |
| title | A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach |
| title_full | A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach |
| title_fullStr | A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach |
| title_full_unstemmed | A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach |
| title_short | A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach |
| title_sort | new method for e government procurement using collaborative filtering and bayesian approach |
| url | http://dx.doi.org/10.1155/2013/129123 |
| work_keys_str_mv | AT shuaizhang anewmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT chengyuxi anewmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT yanwang anewmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT wenyuzhang anewmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT yanhongchen anewmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT shuaizhang newmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT chengyuxi newmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT yanwang newmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT wenyuzhang newmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach AT yanhongchen newmethodforegovernmentprocurementusingcollaborativefilteringandbayesianapproach |