Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding.
Dongning MaXun JiaoPublished in: SIGIR (2024)
Keyphrases
- memory efficient
- recommender systems
- collaborative filtering
- nearest neighbor searching
- matrix factorization
- iterative deepening
- external memory
- cold start problem
- user model
- nonlinear dimensionality reduction
- multiple sequence alignment
- search algorithm
- user modeling
- trust aware
- integral image
- information hiding
- data sparsity
- implicit feedback
- personalized recommendation
- information overload