ELM based imputation-boosted proactive recommender systems.
Punam Bedi RichaSumit Kumar AgarwalVeenu BhasinPublished in: ICACCI (2016)
Keyphrases
- recommender systems
- extreme learning machine
- missing values
- collaborative filtering
- missing data
- extreme learning machines
- matrix factorization
- user preferences
- user modeling
- information filtering
- information overload
- user profiles
- cold start problem
- trust aware
- neural network
- user profiling
- recommendation quality
- random forests
- user model
- missing data imputation
- multiple imputation
- agent teamwork
- collaborative filtering recommender systems
- personalized recommendation
- feedforward neural networks
- feed forward neural networks
- user interests
- data sparsity
- implicit feedback
- gaussian processes
- incomplete data
- data imputation
- compound critiques
- context aware