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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941083
Abstract: Fulfilling users’ needs and increasing the retention rate of recommendation systems are challenging. Most users have consumed a few items in most systems. Translation-based model performs well on sparse datasets. However, a user and only…
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Keywords:
recurrent translation;
based network;
translation;
recommendation ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3131446
Abstract: A well-known limitation of existing rule-based text augmentation is that it cannot be applied to other languages because it depends on grammatical and structural characteristics. Moreover, most text Generative Adversarial Networks (GAN) are unstable in…
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Keywords:
iterative translation;
augmentation method;
translation based;
sentence ... See more keywords