An Efficient Hybrid Recommendation Model With Deep Neural Networks
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DOI: 10.1109/access.2019.2929789
Abstract: Recently, deep learning has gained great popularity in the area of recommender systems. Various combinations of deep learning, collaborative recommendation and content-based recommendation have occurred. However, as one of the three most significant recommendation techniques,… read more here.
Keywords: hybrid recommendation; recommendation; deep learning; recommendation model ... See more keywords
Variational Autoencoder-based Hybrid Recommendation with Poisson Factorization for Modeling Implicit Feedback
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DOI: 10.1109/access.2022.3180051
Abstract: Hybrid recommendation, which is based on collaborative filtering and supplemented with auxiliary content information, is being actively researched due to its ability to overcome the cold-start problem. Many proposed hybrid methods make recommendations using Gaussian… read more here.
Keywords: variational autoencoder; content information; recommendation; hybrid recommendation ... See more keywords
LFDNN: A Novel Hybrid Recommendation Model Based on DeepFM and LightGBM
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DOI: 10.3390/e25040638
Abstract: Hybrid recommendation algorithms perform well in improving the accuracy of recommendation systems. However, in specific applications, they still cannot reach the requirements of the recommendation target due to the gap between the design of the… read more here.
Keywords: recommendation model; recommendation; feature; model ... See more keywords
A Hybrid Recommendation Approach for Viral Food Based on Online Reviews
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DOI: 10.3390/foods10081801
Abstract: Nowadays, there are many types of viral foods and consumers expect to be able to quickly find foods that meet their own tastes. Traditional recommendation systems make recommendations based on the popularity of viral foods… read more here.
Keywords: hybrid recommendation; recommendation; recommendation approach; viral food ... See more keywords