CITIES: Contextual Inference of Tail-item Embeddings for Sequential Recommendation.
Seongwon JangHoyeop LeeHyunsouk ChoSehee ChungPublished in: ICDM (2020)
Keyphrases
- user preferences
- personalized recommendation
- item recommendation
- cold start problem
- collaborative filtering
- latent factor models
- recommender systems
- recommendation algorithms
- collaborative filtering recommendation algorithm
- contextual information
- recommendation systems
- probabilistic inference
- making recommendations
- long tail
- efficient inference algorithms
- cold start
- rating prediction
- belief networks
- context dependent
- matrix factorization
- personal preferences
- tag recommendation
- user ratings
- user similarity
- web users
- data sparsity
- hybrid recommendation