Something's Missing? A Procedure for Extending Item Content Data Sets in the Context of Recommender Systems.
Bernd HeinrichMarcus HopfDaniel LohningerAlexander SchillerMichael SzubartowiczPublished in: Inf. Syst. Frontiers (2022)
Keyphrases
- recommender systems
- data sets
- personal preferences
- user context
- cold start problem
- user preferences
- contextual information
- synthetic data
- missing data
- contextual knowledge
- semantic information
- collaborative filtering
- context aware
- user generated content
- user modeling
- latent factor models
- digital libraries
- user profiling
- benchmark data sets
- content creation
- item based collaborative filtering
- social context
- personalized recommendation
- recommendation algorithms
- user model
- training set
- multimedia