FMGAN: A Filter-Enhanced MLP Debias Recommendation Model Based on Generative Adversarial Network

FMGAN: A Filter-Enhanced MLP Debias Recommendation Model Based on Generative Adversarial Network

In recommendation models, bias can distort the distribution of user-generated data, leading to inaccurate representation of user preferences. Failure to filter out biased data can result in significant learning errors, ultimately reducing the accuracy of the recommendation model. To address this iss...

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Bibliographic Details
Main Authors: Zhaoxuan Liu, Wenjie Luo
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
top-N recommendation
debias
filter MLP
generative adversarial networks
Online Access:https://www.mdpi.com/2076-3417/13/13/7975

Internet

https://www.mdpi.com/2076-3417/13/13/7975

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