Applying a post-processing strategy to consider the multiple interests of users of a Paper Recommender System.
Nathália Locatelli CezarCaroline de BorbaIsabela GaspariniDaniel LichtnowPublished in: SBSI (2021)
Keyphrases
- post processing
- recommender systems
- user profiles
- user interests
- collaborative filtering
- preprocessing
- multiple users
- filtering method
- recommendation quality
- human experts
- user preferences
- personalized recommendation
- cold start problem
- user model
- recommendation systems
- information overload
- user feedback
- product recommendation
- pattern extraction
- user interaction
- online dating
- projections onto convex sets
- post processed
- user groups
- databases
- recommendation algorithms
- genetic programming
- mobile devices