CITIES: Contextual Inference of Tail-Item Embeddings for Sequential Recommendation.
Seongwon JangHoyeop LeeHyunsouk ChoSehee ChungPublished in: CoRR (2021)
Keyphrases
- user preferences
- personalized recommendation
- item recommendation
- collaborative filtering
- latent factor models
- recommender systems
- contextual information
- recommendation algorithms
- low dimensional
- cold start problem
- cold start
- recommendation systems
- probabilistic inference
- inference process
- matrix factorization
- bayesian inference
- user ratings
- collaborative filtering recommendation algorithm
- extreme value theory
- hybrid recommendation
- belief networks
- bayesian networks
- long tail
- collaborative recommendation
- context dependent
- making recommendations
- vector space
- neural network
- implicit feedback
- information overload
- active user
- personal preferences
- rating prediction