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Jan 20, 2024 · The proposed model uses an advanced aspect-based sentiment analysis (ABSA) method. Unlike previous approaches that extract overall preferences, ...
Jan 2, 2024 · This paper proposes an attentive aspect-based recommendation model with a deep neural network (AARN), which can capture user preferences regarding various ...
Jan 12, 2024 · Yang et al.: Attentive Aspect-Based Recommendation Model With Deep Neural Network. Topic modeling was used to extract common topics from the ...
An Attentive Aspect-Based Recommendation Model With Deep Neural Network. Sigeon Yang, Qinglong Li, Haebin Lim, Jaekyeong Kim.
In this article, we propose an Attentive Aspect-based Recommendation Model (AARM) to tackle these challenges.
An Attentive Aspect-Based Recommendation Model With Deep Neural Network. Authors: LI QINGLONG. Issue Date: 2024-01. Publisher: IEEE. Author Keywords: Analytical ...
In this paper, we propose a two-stage resume recommendation model based on deep learning and attention mechanisms, especially considering the latent preference ...
The proposed approach called Attentive Aspectbased Recommendation Model (AARM) based on a neural attention network to estimate item performances on user- ...
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The word embedding pretrained with Word2vec model (implemented with gensim). Use gensim.models.KeyedVectors.load_word2vec_format to load the embedding matrix.
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Attentional Models (AM) are differentiable neural architectures that operate based on soft content addressing over an input sequence (or image). Attention ...