EvalRS 2023: Well-Rounded Recommender Systems for Real-World Deployments.
Federico BianchiPatrick John ChiaJacopo TagliabueCiro GrecoGabriel de Souza P. MoreiraDavide EynardFahd HusainClaudio PomoPublished in: KDD (2023)
Keyphrases
- recommender systems
- real world
- collaborative filtering
- synthetic data
- user profiles
- wide range
- cold start problem
- data mining
- real time
- design considerations
- synthetic datasets
- user preferences
- similarity measure
- case study
- data sets
- database
- real life
- artificial neural networks
- social networks
- prediction accuracy
- artificial intelligence
- matrix factorization
- information overload
- learning algorithm
- cold start