E-government recommendation algorithm based on probabilistic semantic cluster analysis in combination of improved collaborative filtering in big-data environment of government affairs.
Caie XuLisha XuYingying LuHuan XuZhongliang ZhuPublished in: Pers. Ubiquitous Comput. (2019)
Keyphrases
- e government
- cluster analysis
- big data
- electronic government
- collaborative filtering
- latent class models
- recommendation algorithms
- data analysis
- public sector
- recommender systems
- recommendation systems
- digital government
- cloud computing
- user preferences
- clustering method
- government organizations
- public administration
- government services
- filtering algorithm
- data management
- government agencies
- federal government
- matrix factorization
- data processing
- bayesian networks
- business intelligence
- information infrastructure
- service delivery
- social media
- data mining
- public services
- data mining techniques
- knowledge discovery
- clustering algorithm
- unsupervised learning
- knowledge management
- k means
- data sets
- government websites
- databases
- data warehouse
- association rules
- private sector
- information sharing
- national level
- user profiles
- database