Probabilistic collaborative representation learning for personalized item recommendation

• Main Authors: SALAH, Aghiles, LAUW, Hady W.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Approximate inference; Collaborative representations; Generative model; Latent variable; Multi-layered; Real-world datasets; Shopping carts; Variational algorithms; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4240; https://ink.library.smu.edu.sg/context/sis_research/article/5243/viewcontent/uai18.pdf
• Institution: Singapore Management University

We present Probabilistic Collaborative Representation Learning (PCRL), a new generative model of user preferences and item contexts. The latter builds on the assumption that relationships among items within contexts (e.g., browsing session, shopping cart, etc.) may underlie various aspects that guid...