Recently,convolutional neural networks(CNNs)have achieved excellent performance for the recommendation system by extracting deep features and building collaborative filtering ***,CNNs have been verified susceptible to...
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Recently,convolutional neural networks(CNNs)have achieved excellent performance for the recommendation system by extracting deep features and building collaborative filtering ***,CNNs have been verified susceptible to adversarial *** is because adversarial samples are subtle non-random disturbances,which indicates that machine learning models produce incorrect ***,we propose a novel model of Adversarial Neural Collaborative Filtering with Embedding Dimension Correlations,named ANCF in short,to address the adversarial problem of CNN-based recommendation *** particular,the proposed ANCF model adopts the matrix factorization to train the adversarial personalized ranking in the prediction *** is because matrix factorization supposes that the linear interaction of the latent factors,which are captured between the user and the item,can describe the observable feedback,thus the proposed ANCF model can learn more complicated representation of their latent factors to improve the performance of *** addition,the ANCF model utilizes the outer product instead of the inner product or concatenation to learn explicitly pairwise embedding dimensional correlations and obtain the interaction map from which CNNs can utilize its strengths to learn high-order *** a result,the proposed ANCF model can improve the robustness performance by the adversarial personalized ranking,and obtain more information by encoding correlations between different embedding *** results carried out on three public datasets demonstrate that the ANCF model outperforms other existing recommendation models.
The growth and advancement in social network platforms increase the number of users noticeably. Social network platforms, like Twitter, grant users the ability to interact and express their emotions about events. Sinc...
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A hereditary condition known as Huntington's Disease (HD) results in the gradual degeneration of brain nerve cells, impairing a person's capacity for speech, walking, and reasoning. Owing to its severity, nove...
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In recent years, the pervasive dissemination of misinformation and deliberately falsified content, commonly referred to as 'fake news,' has become a critical challenge in the realm of information dissemination...
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As per the Anti-Phishing Working Group's (APWG) report, there were approximately 4.7 million phishing attacks in the year 2022. A significant portion of these phishing attacks were carried out by alluring unsuspec...
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The capital market serves as a pivotal hub within a nation’s financial ecosystem, facilitating the exchange of stocks and securities. It assumes a paramount role in propelling the country’s economic growth and devel...
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The problem of pulmonary tuberculosis (PTB) worldwide is still considered to be a significant one, and it is therefore necessary to develop precise and effective diagnostic tools that will make it possible to carry ou...
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Watching movies has been our source of entertainment for decades. In this modern world, watching movies has never been more convenient with the existence of video streaming services. This convenience also comes with n...
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This paper aims to classify suicidal ideation as a symptom of depression from social media posts by applying the state-of-the-art classification model BERT (Bidirectional Encoder Representations from Transformers) and...
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Conventional federated learning frameworks suffer from several challenges including performance bottlenecks at the central aggregation server, data bias, poor model convergence, and exposure to model poisoning attacks...
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