Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems.
Lanling XuZhen TianGaowei ZhangJunjie ZhangLei WangBowen ZhengYifan LiJiakai TangZeyu ZhangYupeng HouXingyu PanWayne Xin ZhaoXu ChenJi-Rong WenPublished in: SIGIR (2023)
Keyphrases
- user friendly
- recommender systems
- collaborative filtering
- highly interactive
- graphical interface
- graphical user interface
- software package
- user interface
- interactive data mining
- back end
- user friendly interface
- information overload
- online databases
- user model
- user profiling
- command line
- user modeling
- recommendation algorithms
- artificial intelligence
- matrix factorization
- user preferences
- recommendation systems
- hands free