Probabilistic collaborative representation learning for personalized item recommendation

Probabilistic collaborative representation learning for personalized item recommendation

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4240
https://ink.library.smu.edu.sg/context/sis_research/article/5243/viewcontent/uai18.pdf

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