Modeling users' preference changes in recommender systems via time-dependent Markov random fields.
Abinash PujahariDilip Singh SisodiaPublished in: Expert Syst. Appl. (2023)
Keyphrases
- markov random field
- recommender systems
- collaborative filtering
- user preferences
- personal preferences
- graph cuts
- random fields
- user profiles
- energy minimization
- higher order
- belief propagation
- maximum a posteriori
- parameter estimation
- potential functions
- energy function
- image segmentation
- pairwise
- image restoration
- matrix factorization
- low level vision
- mrf model
- cold start problem
- user model
- recommendation systems
- map estimation
- efficient inference
- conditional random fields
- textured images
- user ratings
- product recommendation
- piecewise constant functions
- recommendation algorithms
- markov networks
- loopy belief propagation
- message passing
- map inference
- maximum entropy
- potts model
- scene labeling
- least squares