Harnessing Behavioral Traits to Enhance Financial Stock Recommender Systems: Tackling the User Cold Start Problem.
Takehiro TakayanagiKiyoshi IzumiPublished in: BigData (2023)
Keyphrases
- cold start problem
- recommender systems
- cold start
- collaborative filtering
- data sparsity
- collaborative recommendation
- matrix factorization
- item based collaborative filtering
- stock market
- user preferences
- user profiles
- information overload
- personalized recommendation
- user model
- user feedback
- implicit feedback
- information retrieval
- user ratings
- trading systems
- user profiling
- data sparseness
- recommendation systems
- tag recommendation
- user interests
- web mining
- end users
- reinforcement learning
- website