Generative methods have gained widespread attention in Collaborative Filtering (CF) tasks for their ability to produce high-quality personalized samples aligned with users’ interests. Among them, d...
<p><strong>Tác giả:</strong> Yifang Qin, Zhaobin Li, Arisa Watanabe, Ju Wei, Zhiping Xiao, Ming Ming Zhang</p>
<p>Generative methods have gained widespread attention in Collaborative Filtering (CF) tasks for their ability to produce high-quality personalized samples aligned with users’ interests. Among them, diffusion generative models have raised increasing attention in recommendation field. Despite that the pioneering efforts have applied the conventional diffusion process to model diffusive user interests, the incongruity between the Gaussian noise and the subtle nature of user's personalized interact...</p>
<p>📄 DOI: <a href="https://doi.org/https://doi.org/10.1145/3860526" target="_blank" rel="noopener">https://doi.org/10.1145/3860526</a></p>
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