Predictive modeling techniques

Improving Sequential Recommender Systems with AutoMLP: A Solution to Long/Short-Term Interest Identification

In recent years, sequential recommender systems have emerged as a popular approach for providing personalized recommendations to users. These systems take into account the order in which items are consumed by users, enabling them to identify long-term and short-term interests of users and predict their future preferences accurately. However, while sequential recommender systems have proven …

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Exploring the Effectiveness of Imbalanced Data Correction Methods in Mixed Linear Regression Models

Introduction In recent years, the amount of data collected in various fields has grown rapidly, and machine learning algorithms have become increasingly popular for analyzing such data. However, a common issue faced when working with large datasets is class imbalance, where one class in the target variable is greatly outnumbered by the other. This imbalance …

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