A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems.
Hanze LiScott SannerKai LuoGa WuPublished in: RecSys (2020)
Keyphrases
- recommender systems
- implicit feedback
- compound critiques
- preference learning
- collaborative filtering
- user feedback
- semidefinite
- quadratic programming
- rating prediction
- optimization algorithm
- user preferences
- user profiling
- global optimization
- matrix factorization
- user modeling
- optimization process
- natural language
- mixed initiative
- web search
- optimization method
- multi modal
- link analysis
- learning to rank
- latent variables
- ranking algorithm
- optimization problems
- information overload
- ranked list
- user model
- ranking functions
- cold start problem
- recommendation quality
- trust propagation