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ENTITY Bi-LSTM-AMSM: bidirectional long short-term memory network and attention mechanism with semantic mining for e-commerce web page recommendation

Bi-LSTM-AMSM: bidirectional long short-term memory network and attention mechanism with semantic mining for e-commerce web page recommendation

PulseAugur coverage of Bi-LSTM-AMSM: bidirectional long short-term memory network and attention mechanism with semantic mining for e-commerce web page recommendation — every cluster mentioning Bi-LSTM-AMSM: bidirectional long short-term memory network and attention mechanism with semantic mining for e-commerce web page recommendation across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_133539 ·

    New L-GTA model enhances time series data augmentation

    Researchers have developed L-GTA, a novel latent generative model for time series data augmentation. This model, built on a Variational Autoencoder with a Bi-LSTM backbone and temporal self-attention, learns latent repr…