Ten Challenges in Industrial Recommender Systems.
Zhenhua DongJieming ZhuWeiwen LiuRuiming TangPublished in: CoRR (2023)
Keyphrases
- recommender systems
- collaborative filtering
- lessons learned
- technical challenges
- information overload
- matrix factorization
- key issues
- industrial environment
- open issues
- user profiling
- application scenarios
- industrial applications
- data mining
- real world
- neural network
- e learning
- machine learning
- implicit feedback
- databases
- cold start
- real time