Wide & Deep Learning for Recommender Systems.
Heng-Tze ChengLevent KocJeremiah HarmsenTal ShakedTushar ChandraHrishi AradhyeGlen AndersonGreg CorradoWei ChaiMustafa IspirRohan AnilZakaria HaqueLichan HongVihan JainXiaobing LiuHemal ShahPublished in: DLRS@RecSys (2016)
Keyphrases
- deep learning
- recommender systems
- collaborative filtering
- unsupervised learning
- unsupervised feature learning
- user profiles
- deep architectures
- user preferences
- weakly supervised
- machine learning
- restricted boltzmann machine
- mental models
- deep belief networks
- training data
- decision making
- information extraction
- feature selection
- computer vision
- data mining