Improved Metric-Based Recommender by Historical Interactions
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DOI: 10.1109/access.2019.2938970
Abstract: A remarkable success in recommendations has been achieved by using methods based on metric learning, especially in digital marketing. However, the existing methods do not consider the relative preferences among items that users like. To… read more here.
Keywords: recommender; improved metric; recommender historical; metric based ... See more keywords
Autoencoder-Based Recommender System Exploiting Natural Noise Removal
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DOI: 10.1109/access.2023.3262026
Abstract: Collaborative filtering (CF) is a widely used technique in recommender systems by automatically predicting the user’s latent interests based on many users’ historical rating data. To improve the performance of the CF-based recommender systems, users’… read more here.
Keywords: system; autoencoder based; noise; based recommender ... See more keywords