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

Abstract EN

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.