Improving recentness of the ICT book recommendation using an adaptive rules-based recommender system.
Mochammad HusniTubagus Mohammad AkhrizaSarifuddin MadendaEri Prasetyo WibowoPublished in: Int. J. Comput. Appl. Technol. (2022)
Keyphrases
- recommender systems
- collaborative filtering
- cold start
- information and communication technologies
- book presents
- user preferences
- information filtering
- cold start problem
- matrix factorization
- book covers
- trust aware
- personalized recommendation
- movie recommendation
- association rules
- collaborative recommendation
- recommendation systems
- researchers and practitioners
- online dating
- cutting edge
- product recommendation
- recommendation quality
- production rules
- developing countries
- information overload
- implicit feedback
- user profiling
- rule sets
- classification rules
- case study
- recommendation algorithms
- decision rules
- user feedback
- knowledge management
- user profiles
- information and communications technology
- music recommendation
- association rule mining
- latent factor models
- decision trees
- south africa
- business applications
- graduate students
- st century