Jul 17, 2019 · This work proposes a novel discrete social recommendation (DSR) method which learns binary codes in a unified framework for users and items, considering social ...
DSR is able to learn informative yet compact user/item binary codes for effi- cient user-item relevance and user-user relationship cal- culation and ...
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Oct 22, 2024 · To address these issues, this work proposes a novel discrete social recommendation (DSR) method which learns binary codes in a unified framework ...
To address these issues, this work proposes a novel discrete social recommendation (DSR) method which learns binary codes in a unifed framework for users and ...
Discrete social recommendation method extends DCF by jointly factorizing rating matrix and social relation matrix into different discrete latent matrices ...
In this paper, we propose a novel hashing- based social recommendation model, called semi-discrete socially embedded matrix factorization (S2MF), which lever-.
In this paper, we propose a novel social recommendation method called Discrete Limited Attentional Collaborative Filtering (DLACF), which models recommendation ...
Feb 12, 2020 · To address these issues, this work proposes a novel discrete social recommendation (DSR) method which learns binary codes in a unified framework ...
A novel hashing-based social recommendation model, called semi-discrete socially embedded matrix factorization (S2MF), which leverages the dual advantages ...
Jun 1, 2024 · We propose a novel diffusion-based social denoising framework for recommendation (RecDiff). Our approach utilizes a simple yet effective hidden-space diffusion ...