Open AccessA Probabilistic Matrix Factorization Recommendation Method Based on Deep Learning
Author(s) -
X Gong,
Xiaojun Huang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1176/2/022043
Subject(s) - computer science , matrix decomposition , probabilistic logic , factorization , recommender system , feature (linguistics) , convolutional neural network , artificial intelligence , non negative matrix factorization , context (archaeology) , matrix (chemical analysis) , machine learning , term (time) , pattern recognition (psychology) , data mining , algorithm , paleontology , linguistics , eigenvalues and eigenvectors , physics , philosophy , materials science , quantum mechanics , composite material , biology