Infrequent Item-to-Item Recommendation via Invariant Random Fields.
Bálint DaróczyFrederick Ayala-GómezAndrás BenczúrPublished in: MICAI (1) (2018)
Keyphrases
- item recommendation
- random fields
- matrix factorization
- collaborative filtering
- tag recommendation
- markov random field
- parameter estimation
- recommender systems
- conditional random fields
- non stationary
- maximum entropy
- recommendation systems
- missing data
- probabilistic model
- information extraction
- implicit feedback
- tensor factorization
- cold start
- social influence
- pairwise
- web search
- active learning
- user feedback
- semi supervised
- user interaction
- generative model