Learning multi-faceted prototypical user interests

Learning multi-faceted prototypical user interests

We seek to uncover the latent interest units from behavioral data to better learn user preferences under the VAE framework. Existing practices tend to ignore the multiple facets of item characteristics, which may not capture it at appropriate granularity. Moreover, current studies equate the granula...

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Bibliographic Details
Main Authors: TRAN, Nhu Thuat, LAUW, Hady W.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
multi-faceted representation
user interests
item characteristics
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/9281
https://ink.library.smu.edu.sg/context/sis_research/article/10281/viewcontent/5185_Learning_Multi_Faceted_Pr.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9281
https://ink.library.smu.edu.sg/context/sis_research/article/10281/viewcontent/5185_Learning_Multi_Faceted_Pr.pdf

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