Towards Purpose-aware Privacy-Preserving Techniques for Predictive Applications

A synthetic agent to simulate decisional behaviour of designers working with an active recommender framework system

Towards interactive explanation-based nutrition virtual coaching systems

To Share or Not to Share: Understanding and Modeling Individual Disclosure Preferences in Recommender Systems for the Workplace

Realizing quantum-safe information sharing: Implementation and adoption challenges and policy recommendations for quantum-safe transitions

Spare parts recommendation for corrective maintenance of capital goods considering demand dependency

TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds

Analyzing User Engagement with TikTok's Short Format Video Recommendations using Data Donations

Neural Session Recommendation

Exploring Children's Exposure to Stereotypes via Recommender Systems

Metric Optimization and Mainstream Bias Mitigation in Recommender Systems

Mindful Music Listening: Fostering Wellbeing on Music Streaming Platforms through Positive AI

Prediction of Post-induction Hypotension by Machine Learning

From Clicks to Conscious Choices: Investigating the Effects of Carbon Footprint Data in E-Commerce Recommender Systems

Web3Recommend: Decentralised recommendations with trust and relevance

Redesigning Social Media: Limiting Self-Radicalisation caused by YouTube's Recommendation Algorithm

Annotation Practices in Societally Impactful Machine Learning Applications: What are the recommender systems models actually trained on?

The impact of nudging and self-control on food preferences

The use of critical raw materials in façades and the call for circularity: identifying dependencies and planning for the future

Mechanism to detect mismatches and provide recommendations about the users' preference in negotiation support systems: A case study about issue weight mismatches with the pocket negotiator