Interact2Vec: Neural Item and User Embedding for Collaborative Filtering.
Pedro R. PiresTiago A. AlmeidaPublished in: BRACIS (2) (2022)
Keyphrases
- collaborative filtering
- user preferences
- item recommendation
- recommender systems
- user ratings
- personalized recommendation
- matrix factorization
- user profiles
- cold start problem
- active user
- making recommendations
- collaborative filtering recommendation algorithm
- recommendation algorithms
- user interests
- recommendation systems
- user similarity
- cold start
- pearson correlation coefficient
- data sparsity
- neural network
- network architecture
- item based collaborative filtering
- web page recommendation
- user specific
- user model
- recommendation quality
- user interaction
- user feedback
- prediction accuracy
- content based filtering
- user defined
- latent factor models
- personalized recommender systems
- demographic information
- implicit feedback
- information filtering
- vector space
- user interface
- high dimensional