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April 26, 2026International Journal of Information and Communication Technology0 citationsOpen Access

Deep learning-based innovative product design driven by social network data

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CWChanghui Wang

Key Points

  • The research aims to utilize social network data to enhance innovative product design through deep learning techniques.
  • Analyzed data from various social networks to identify trends and user preferences for product design.
  • Applied deep learning models to interpret the collected data and inform design decisions.
  • Demonstrated that incorporating social network data leads to higher user satisfaction rates in product design.
  • Identified significant trends in consumer preferences that could streamline the design process.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Changhui Wang (2026) studied this question.

synapsesocial.com/papers/69edadba4a46254e215b54a8https://doi.org/10.1504/ijict.2026.10077935
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