A Matrix Factorization Based Recommendation Algorithm for Science and Technology Resource Exploitation.
Xue Qing ZhangXiao Xia LiuJun GuoBaoying LiuDaguang GanPublished in: AICCSA (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- recommendation algorithms
- recommender systems
- recommendation systems
- negative matrix factorization
- low rank
- data sparsity
- nonnegative matrix factorization
- factorization methods
- missing data
- user preferences
- stochastic gradient descent
- factor analysis
- filtering algorithm
- user profiles
- cold start
- personalized recommendation
- item recommendation
- cold start problem
- latent factors
- image processing
- probabilistic matrix factorization
- tensor factorization
- web search engines
- similarity measure