Recommending untapped M&A opportunities: A combined approach using principal component analysis and collaborative filtering.
Lukas Jan AalderingJens LekerChie Hoon SongPublished in: Expert Syst. Appl. (2019)
Keyphrases
- collaborative filtering
- principal component analysis
- recommender systems
- matrix factorization
- data sparsity
- information filtering
- personalized recommendation
- cold start problem
- dimensionality reduction
- covariance matrix
- recommendation systems
- principal components
- negative matrix factorization
- transfer learning
- user preferences
- lower dimensional
- user ratings
- content based filtering
- probabilistic matrix factorization
- combining multiple
- neural network
- user profiles
- face images
- image processing
- information overload
- dimension reduction
- recommendation algorithms
- high dimensional
- information technology
- cold start
- feature space
- learning algorithm