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Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice ICEIS, 2002. ICEIS 2002 · DBLP · Scholar. Full names. Links ISxN. @inproceedings{ ...
Sep 1, 2022 · In order to verify the effectiveness of the approach, this study simulates the enhanced BP neural network based on the analysis of the key ...
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Oct 12, 2024 · Information discovery in e-commerce concerns different types of search (eg, exploratory search vs. lookup tasks), recommender systems, and natural language ...
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Aug 1, 2021 · The objective of this study is to determine and rank the significant predictors of satisfaction in m-commerce.
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Dec 6, 2009 · The aim of the contribution was to show the possibility of using artificial intelligence - neural networks in field of electronic commerce.
Sep 1, 2022 · It is well known that neural networks (NNs) have strong predictive ability, but there are also problems such as lack of stability. As a result, ...
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This study deeply integrates multimodal data analysis and big data technology, proposing a multimodal learning framework that consolidates various information ...
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Mar 12, 2023 · Here is where the magic of Neural Networks comes in play , that enables B2C businesses to be more accurate in personalised recommendations ...
Oct 27, 2023 · Machine learning for ecommerce can make the personalized shopping experience real. The algorithms analyze vast amounts of customer data.
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Apr 11, 2022 · The results show that data mining technology and neural networks have high accuracy in predicting future consumer purchasing power information.
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