Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization.
Xin WangRoger DonaldsonChristopher NellPeter GorniakMartin EsterJiajun BuPublished in: AAAI (2016)
Keyphrases
- user groups
- matrix factorization
- collaborative filtering
- recommender systems
- end users
- low rank
- data sparsity
- factorization methods
- user ratings
- implicit feedback
- search tasks
- item recommendation
- information sources
- social networking sites
- personalized ranking
- cold start problem
- negative matrix factorization
- nonnegative matrix factorization
- recommendation systems
- factor analysis
- latent factors
- feature space
- personalized recommendation
- information overload
- user interests
- user preferences
- stochastic gradient descent
- data model
- databases
- probabilistic matrix factorization