Hybrid and Ensemble-Based Personalized Recommender System - Solving Data Sparsity Problem.
Akshay ShuklaLousia ManoaelTaehyung WangPublished in: TransAI (2021)
Keyphrases
- data sparsity
- recommender systems
- collaborative filtering
- hybrid recommendation
- cold start problem
- personalized recommendation
- user profiles
- matrix factorization
- cold start
- information filtering
- user modeling
- recommendation quality
- user model
- product recommendation
- personalized search
- user preferences
- e learning
- transfer learning
- user interests
- learning algorithm
- feature selection
- implicit feedback
- ensemble learning
- user feedback
- training set
- feature space
- information overload
- machine learning
- unsupervised learning
- prior knowledge
- support vector machine