Hybrid Conferencee

International Conference on Personalization and Recommender Systems in E-Commerce (ICPRSEC - 26)

24th - 25th October 2026 | Geneva, Switzerland

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SDG-Inspired Conference Focus:
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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
Track 01

Advancements in Personalization Algorithms

This track focuses on the latest developments in recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid models. Researchers are encouraged to present innovative approaches that enhance the accuracy and efficiency of personalization in e-commerce.

Track 02

Consumer Behavior and Preferences in E-Commerce

This session explores the intricacies of consumer preferences and behaviors in online shopping environments. Papers should delve into how these factors influence the effectiveness of personalization strategies and recommendation systems.

Track 03

Data-Driven Strategies for E-Commerce Optimization

This track examines the role of data analytics in optimizing e-commerce platforms. Contributions should highlight how data-driven insights can enhance user experience and drive sales through effective personalization.

Track 04

Context-Aware Personalization Techniques

This session invites research on context-aware systems that adapt recommendations based on situational variables. Studies should illustrate how contextual factors can significantly improve user engagement and satisfaction.

Track 05

Behavioral Targeting in Digital Marketing

This track investigates the application of behavioral targeting techniques in digital marketing strategies. Papers should discuss the implications of targeting based on user behavior for enhancing personalization and marketing effectiveness.

Track 06

User Profiling for Enhanced Recommendations

This session focuses on methodologies for effective user profiling in e-commerce settings. Contributions should explore how detailed user profiles can lead to more personalized and relevant recommendations.

Track 07

Evaluation Metrics for Recommendation Systems

This track addresses the critical need for robust evaluation metrics in assessing the performance of recommendation systems. Researchers are invited to propose new metrics or frameworks that can better capture the effectiveness of personalization efforts.

Track 08

Innovations in Collaborative Filtering Techniques

This session highlights recent innovations in collaborative filtering methods for recommendation systems. Papers should focus on novel algorithms that improve the scalability and accuracy of collaborative approaches.

Track 09

Cross-Domain Recommendations in E-Commerce

This track explores the challenges and solutions associated with cross-domain recommendation systems. Contributions should discuss how insights from one domain can enhance personalization in another, fostering a more integrated e-commerce experience.

Track 10

Ethical Considerations in Personalization and Data Usage

This session examines the ethical implications of data usage in personalization and recommendation systems. Papers should address privacy concerns, data security, and the balance between personalization and user autonomy.

Track 11

Future Trends in E-Commerce Personalization

This track invites forward-looking research on emerging trends and technologies in e-commerce personalization. Contributions should speculate on the future landscape of recommendation systems and their potential impact on consumer behavior.