A personalized clustering-based approach using open linked data for search space reduction in recommender systems.
Arthur F. Da CostaRafael Martins D'AddioEduardo P. FressatoMarcelo G. ManzatoPublished in: WebMedia (2019)
Keyphrases
- linked data
- search space reduction
- recommender systems
- user modeling
- semantic web
- user profiles
- clustering algorithm
- linked open data
- semantic data
- open innovation
- structured information
- collaborative filtering
- personalized recommendation
- user model
- data sources
- data integration
- structured data
- open data
- search space
- using semantic web technologies
- rdf data
- user context
- mashup
- search algorithm
- databases
- data publishing
- personal preferences
- machine learning
- product recommendation
- semantic search
- e learning
- user profiling
- user preferences
- context aware
- information systems
- qr codes