Embeddings

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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A Beginner’s Guide to Text Classification using PyTorch and Hugging Face

Text classification is a common task in natural language processing (NLP) that involves assigning predefined categories or labels to a given text. It is a supervised learning problem, where the goal is to train a model to predict the correct label for new, unseen examples. Text classification has many practical applications, such as sentiment analysis, …

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