Addressing the cold-start problem of recommendation systems for financial products by using few-shot deep learning.
Tsan-Yin HungSzu-Hao HuangPublished in: Appl. Intell. (2022)
Keyphrases
- deep learning
- recommendation systems
- cold start problem
- collaborative filtering
- recommender systems
- personalized recommendation
- cold start
- data sparsity
- user preferences
- matrix factorization
- unsupervised learning
- tag recommendation
- machine learning
- recommendation algorithms
- user feedback
- weakly supervised
- visual features
- feature extraction
- mental models
- information overload
- user behavior
- user profiles
- implicit feedback
- web search
- user interests
- user model
- search engine
- learning algorithm