Recommender system for an academic supervisor with a matrix normalization approach.
Vladimir KazakovtsevSvyatoslav OreshinAlexey SerdyukovEgor KrasheninnikovSergey MuravyovAlbert BezvinnyiAlexander PanfilovIgor GlukhovYulia E. KaliberdaDaniil MasalskiyTimofey PodolenchukMaksim KhlopotovPublished in: CCRIS (2020)
Keyphrases
- recommender systems
- collaborative filtering
- user item rating
- matrix factorization
- low rank
- information filtering
- user profiles
- wide range
- neural network
- information overload
- cold start problem
- product recommendation
- movie recommendation
- sufficient conditions
- missing data
- e learning
- linear algebra
- coefficient matrix
- covering a wide range
- social networks