TDTMF: A recommendation model based on user temporal interest drift and latent review topic evolution with regularization factor.
Hao DingQing LiuGuangwei HuPublished in: Inf. Process. Manag. (2022)
Keyphrases
- recommender systems
- user preferences
- collaborative filtering
- user ratings
- recommendation systems
- temporal evolution
- user modeling
- information overload
- topic models
- user interests
- user interaction
- user feedback
- web page recommendation
- topical relevance
- topic drift
- temporal data
- user interface
- temporal information
- spatio temporal
- spatial and temporal
- temporal behavior
- individual user
- latent variables
- personalized recommendation
- user model
- temporal reasoning
- product reviews
- recommendation algorithms
- topic modeling
- recommendation quality
- social networking services
- online dating
- concept drift
- log files