Abstract: Analysis and prediction of high-dimensional time series are prevalent in numerous real-world scenarios, such as urban traffic. Traditional methods often struggle with the redundancy and ...
Abstract: Session-based Social Recommendation (SSR) aims to improve next-item prediction by combining a user’s session activities with insights from their social networks. However, the brevity of ...
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