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May 18, 2023 · We proposed a novel recommendation model MIS-CF, that aims to model multi-attribute and implicit relationship factors with self-supervised learning for ...
May 18, 2023 · This work has developed a novel recommendation model called “Multi-Attribute and Implicit Relationship Factors With Self-Supervised Learning for Collaborative ...
A novel recommendation model called “Multi-Attribute and Implicit Relationship Factors With Self-Supervised Learning for Collaborative filtering” (MIS-CF), ...
This work has developed a novel recommendation model called “Multi-Attribute and Implicit Relationship Factors With Self-Supervised Learning for Collaborative ...
Interactions of users and items can be naturally modeled as a user-item bipartite graph in recommender systems, and emerging research is devoted to ...
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Cite Email Print Share. Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems. Authors: Hu, Linfeng ...
Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems · Author Picture Linfeng Hu,; Author Picture ...
Apr 4, 2024 · In this paper, we provide a comprehensive review of self-supervised learning frameworks designed for recommender systems, encompassing a ...
To get more informative embedding, we then use self-supervised learning to maximizing mutual information between relationships. Our method fully leverages ...