Utilize Deep learning to increase the performance of a Book recommender system using the Item-based Collaborative Filtering.
Cu Nguyen GiapLe Thi Huyen DieuLuong Thi Hong LanTran Thi NganTran Manh TuanPublished in: RICE (2022)
Keyphrases
- deep learning
- recommender systems
- item based collaborative filtering
- cold start problem
- collaborative filtering
- recommendation algorithms
- unsupervised learning
- machine learning
- unsupervised feature learning
- matrix factorization
- cold start
- user preferences
- mental models
- user model
- end users
- information filtering
- weakly supervised
- learning algorithm
- implicit feedback
- data sparsity
- user interests
- user profiling
- information overload
- user profiles
- pairwise
- search engine
- information retrieval