Hyperbolic Translation-Based Sequential Recommendation
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DOI: 10.1109/tcss.2024.3409711
Abstract: The goal of sequential recommendation algorithms is to predict personalized sequential behaviors of users (i.e., next-item recommendation). Learning representations of entities (i.e., users and items) from sparse interaction behaviors and capturing the relationships between entities… read more here.
Keywords: hyperbolic translation; based sequential; translation based; sequential recommendation ... See more keywords