AutoML for Deep Recommender Systems: Fundamentals and Advances.
Ruiming TangBo ChenYejing WangHuifeng GuoYong LiuWenqi FanXiangyu ZhaoPublished in: WSDM (2023)
Keyphrases
- recommender systems
- collaborative filtering
- recent advances
- user preferences
- matrix factorization
- database processing
- user profiling
- information filtering
- artificial intelligence
- user profiles
- cold start problem
- personalized recommendation
- trust aware
- information overload
- recommendation systems
- databases
- deep learning
- data sparsity
- user model
- fundamental concepts
- user modelling
- implicit feedback
- technological advances
- social sciences
- latest developments
- content based filtering
- recent developments
- active user
- recommendation quality
- machine learning