Influencing web customers. Deep learning practical application
نویسندگان
چکیده
منابع مشابه
Deep Learning for the Web
Deep learning is a machine learning technology that automatically extracts higher-level representations from raw data by stacking multiple layers of neuron-like units. The stacking allows for extracting representations of increasingly-complex features without time-consuming, offline feature engineering. Recent success of deep learning has shown that it outperforms state-of-the-art systems in im...
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The curvature matrix depends on the specific optimisation method and will often be only an estimate. For notational simplicity, the dependence of f̂ on θ is omitted. Setting C to the true Hessian matrix of f would make f̂ the exact secondorder Taylor expansion of the function around θ. However, when f is a nonlinear function, the Hessian can be indefinite, which leads to an ill-conditioned quadra...
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Today, the use of the Internet and Internet sites has been an integrated part of the people’s lives, and most activities and important data are in the Internet websites. Thus, attempts to intrude into these websites have grown exponentially. Intrusion detection systems (IDS) of web attacks are an approach to protect users. But, these systems are suffering from such drawbacks as low accuracy in ...
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Objectives of the Study The aim of the research is to define and assess the importance of the factors that influence online shoppers’ choices of merchants. The previous literature mainly focuses on loyalty of users to websites and online purchase decision-making process within one website. No literature studies the situation under which the customer has already decided the item to purchase and ...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2020
ISSN: 1877-0509
DOI: 10.1016/j.procs.2020.09.097