Matrix Factorization for Personalized Recommendation With Implicit Feedback and Temporal Information in Social Ecommerce Networks.
Mingyang LiHongchen WuHuaxiang ZhangPublished in: IEEE Access (2019)
Keyphrases
- implicit feedback
- temporal information
- matrix factorization
- personalized recommendation
- collaborative filtering
- recommender systems
- personalized ranking
- social networks
- spatial information
- missing data
- nonnegative matrix factorization
- latent factors
- cold start problem
- user interests
- item recommendation
- factor analysis
- cold start
- data sparsity
- social media
- recommendation algorithms
- information overload
- contextual information
- user experience
- web search
- user behavior
- user feedback
- user profiles