Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data.
André L. ZanonLeonardo Chaves Dutra da RochaMarcelo Garcia ManzatoPublished in: Knowl. Based Syst. (2022)
Keyphrases
- linked open data
- recommender systems
- user modeling
- linked data
- personalized recommendation
- user profiles
- user model
- collaborative filtering
- product recommendation
- semantic web
- metadata
- life sciences
- semantic technologies
- personalized services
- user preferences
- rdf data
- domain theory
- context aware
- user context
- e learning
- big data
- recommendation systems
- machine learning
- structured data
- knowledge representation
- data sources
- information technology
- web pages