Abstract: In real-world recommender systems, exposure bias, data sparsity, and latent confounding factors can substantially distort the authenticity of user–item interactions, leading to predictions ...
Abstract: We present in this paper a framework to model information diffusion in social networks based on linear multivariate Hawkes processes and the latent Dirichlet allocation topic model. Our ...
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