Maximizing Ranking-Aware Recommendation Quality for Low-Complexity Network-Friendly Recommendation.
Jiayin HouJiawei LinShuoyao WangPublished in: VTC Fall (2023)
Keyphrases
- low complexity
- recommendation quality
- recommender systems
- collaborative filtering
- recommendation systems
- motion estimation
- implicit feedback
- computational complexity
- lower complexity
- tag recommendation
- distributed video coding
- data sparsity
- web search
- peer to peer
- cold start
- learning to rank
- information overload
- multiple description coding
- user feedback
- personalized recommendation
- video streaming
- real time
- ranking algorithm
- eye tracking
- user preferences
- information retrieval