Model Selection

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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Making Machine Learning Predictions at Scale: Building High-Performance Pipelines

Machine learning (ML) has become an integral part of many industries and businesses, enabling the development of intelligent systems that can make predictions and decisions based on data. However, as the volume and complexity of data continues to grow, so too does the challenge of making predictions at scale. This requires building high-performance pipelines that …

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