An End-to-End Personalized Preference Drift Aware Sequential Recommender System with Optimal Item Utilization
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DOI: 10.1109/access.2022.3182390
Abstract: The user preference is dynamic and requires drift detection to capture changes for delivering relevant recommendations. A sequential recommender system with drift detection was proposed, where drift points are indicated by comparing characteristics of consecutive… read more here.
Keywords: preference; item; recommender system; sequential recommender ... See more keywords
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