Time-Dependent Item Embeddings for Collaborative Filtering.
Pedro R. PiresAmanda C. PasconTiago A. AlmeidaPublished in: BRACIS (2) (2021)
Keyphrases
- collaborative filtering
- collaborative filtering recommendation algorithm
- user preferences
- item recommendation
- user ratings
- personalized recommendation
- making recommendations
- cold start problem
- hybrid recommendation
- pearson correlation coefficient
- recommender systems
- matrix factorization
- latent factor models
- cold start
- item based collaborative filtering
- recommendation algorithms
- user similarity
- rating prediction
- data sparsity
- low dimensional
- recommendation systems
- vector space
- active user
- user item rating
- prediction accuracy
- manifold learning
- information filtering
- euclidean space
- dimensionality reduction
- collaborative filtering algorithms
- implicit feedback
- travel time
- probabilistic matrix factorization
- high dimensional data
- deal with information overload
- website
- data points
- user interests
- purchase behavior
- user specific
- neighbor selection
- recommendation quality
- user behavior