Exploration in Sequential Recommender Systems via Graph Representations
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DOI: 10.1109/access.2022.3224816
Abstract: Temporal graph networks are powerful tools for solving the cold-start problem in sequential recommender systems. However, graph models are susceptible to feedback loops and data distribution shifts. The paper proposes a simple yet efficient graph-based… read more here.
Keywords: recommender systems; graph; recommender; sequential recommender ... See more keywords