<ul><li>Accurately predicting customers' purchase intentions is crucial for a business strategy.</li><li>A new model, Clustering and Attention mechanism GRU (CAGRU), is proposed for customer purchase intention prediction.</li><li>The model leverages multi-modal data, performs customer clustering, uses GRU neural network for time series feature extraction, and includes an attention mechanism for sequence significance.</li><li>Extensive experiments show the superiority of the CAGRU approach in handling imbalanced customer groups and predicting purchase intentions accurately.</li></ul>

CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction

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