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GenSim : GAN based Recommendation systems for personalized matrix factorization

2025-04-25

Abstract excerpt

<title>Abstract</title> <p>Accurately modeling user preferences is crucial for the success of modern recommendation systems (RS). Despite recent advances in generative models for RS, challenges such as limited data and the complexity of human behavior still persist. These issues make it difficult to generate accurate and authentic user profiles, which are essential for providing meaningful and personalized recomm...

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Literature Corpus work
b5f9d66d-939d-5e39-8fbe-5f752b6d9757
DOI
10.21203/rs.3.rs-6414935/v1
Open publication

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GenSim : GAN based Recommendation systems for personalized matrix factorizationDOI 10.21203/rs.3.rs-6414935/v1
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