Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems.
Tomofumi HaraYuki SumiyaKazuhide NakataPublished in: ICDM (Workshops) (2023)
Keyphrases
- matrix factorization
- recommender systems
- trend analysis
- temporal trends
- collaborative filtering
- low rank
- topic detection
- data analysis
- cold start problem
- negative matrix factorization
- data mining
- nonnegative matrix factorization
- factor analysis
- factorization methods
- data sparsity
- missing data
- rating prediction
- tensor factorization
- probabilistic matrix factorization
- implicit feedback
- personalized recommendation
- item recommendation
- fault detection and diagnosis
- knowledge discovery
- data sets