Markov Chains For Sparse Sequential Recommendation

Self-Attentive Sequential Recommendation

actions used as context. Research in sequential recommendation is therefore largely concerned with how to capture these high-order dynamics succinctly. Markov Chains (MCs) are a classic example, which assume that the next action is conditioned on only the previous action (or previous few), and have been successfully adopted to char-

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