Enhanced Collaborative Filtering for Personalized E-Government Recommendation

Enhanced Collaborative Filtering for Personalized E-Government Recommendation

The problems with the information overload of e-government websites have been a big obstacle for users to make decisions. One promising approach to solve this problem is to deploy an intelligent recommendation system on e-government platforms. Collaborative filtering (CF) has shown its superiority b...

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Bibliographic Details
Main Authors:	Ninghua Sun, Tao Chen, Wenshan Guo, Longya Ran
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Applied Sciences
Subjects:	e-government public services collaborative filtering recommender system negative sampling
Online Access:	https://www.mdpi.com/2076-3417/11/24/12119

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