Flex Conference (Physical / Digital)

International Conference on Personalization and Recommendation Systems in E-Commerce - (ICPRSE-27)

29th - 30th January 2027 , Coimbra - Portugal

Registration Options

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Call For Papers

The (ICPRSE-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as E Commerce are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Personalization strategies in e-commerce
  • Recommendation algorithms and consumer behavior
  • Impact of data analytics on personalization
  • User experience and recommendation systems
  • Ethics of personalized marketing
  • Machine learning for personalized recommendations
  • Consumer trust in personalized experiences
  • Case studies of successful personalization
  • Future trends in recommendation systems
  • Cross-channel personalization strategies
  • Role of AI in personalized marketing
  • Challenges in implementing personalization
  • Impact of personalization on sales performance
  • Consumer privacy concerns in personalization
  • Personalization in mobile e-commerce
  • Social media and personalized advertising
  • User engagement through personalization
  • Metrics for measuring personalization success
  • Innovations in recommendation technologies
  • Personalization in B2B e-commerce

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.