A content-based recommender system using stacked LSTM and an attention-based autoencoder

Research article (Measurement Sensors, 2023) · cited 15× · AI/ML
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A content-based recommender system using stacked LSTM and an attention-based autoencoder

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A content-based recommender system using stacked LSTM and an attention-based autoencoder is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A content-based recommender system using stacked LSTM and an attention-based autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-content-based-recommender-system-using-stacked-lstm-and-an-attention-based-autoencoder
MLA “A content-based recommender system using stacked LSTM and an attention-based autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-content-based-recommender-system-using-stacked-lstm-and-an-attention-based-autoencoder.
BibTeX @misc{4ortxyz_a-content-based-recommender-system-using-stacked-lstm-and-an-attention-based-autoencoder_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A content-based recommender system using stacked LSTM and an attention-based autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/a-content-based-recommender-system-using-stacked-lstm-and-an-attention-based-autoencoder}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A content-based recommender system using stacked LSTM and an attention-based autoencoder — https://4ort.xyz/entity/a-content-based-recommender-system-using-stacked-lstm-and-an-attention-based-autoencoder (retrieved 2026-05-24)

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