Details

Autor(en) / Beteiligte

• Zhang, Shuai
• Xi, Chengyu
• Wang, Yan
• Zhang, Wenyu
• Chen, Yanhong
• Boldo, S.
• Baños, R.
• R Baños
• S Boldo

Titel

A New Method for E-Government Procurement Using Collaborative Filtering and Bayesian Approach

Ist Teil von

• TheScientificWorld, 2013-01, Vol.2013 (1), p.129123-129123

Ort / Verlag

United States: Hindawi Publishing Corporation

Erscheinungsjahr

2013

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.