Eco-aware GNN Recommenders
Data Skeptic
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Understanding Sequential Recommendation Systems
This chapter explores how sequential recommendation systems utilize past user interactions to predict future preferences, emphasizing the advancements in algorithms and architectures. Through examples and discussions on resource balance, the chapter highlights the importance of attention mechanisms and draws connections with natural language processing.
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