ITEM2VEC: Neural item embedding for collaborative filtering.
Oren BarkanNoam KoenigsteinPublished in: MLSP (2016)
Keyphrases
- collaborative filtering
- collaborative filtering recommendation algorithm
- user preferences
- personalized recommendation
- user ratings
- cold start problem
- pearson correlation coefficient
- making recommendations
- item recommendation
- recommender systems
- hybrid recommendation
- matrix factorization
- latent factor models
- data sparsity
- data mining
- item based collaborative filtering
- recommendation algorithms
- cold start
- purchase behavior
- data sets
- data hiding
- recommendation systems
- network architecture
- user feedback