Personalization in the Era of Super(?)-intelligence
Abstract
For decades, the WSDM community has viewed personalization through the lens of collaborative filtering and predictive behavioral models. Today, we are witnessing a fundamental shift where AI systems promise to not just predict user intent, but to actively reason, plan, and create on our behalf. Instead of merely reinforcing our existing habits, these new approaches promise to surface insights we are blind to, guiding us toward discoveries that advance our personal journeys in new and unexpected ways. But are we truly on the verge of super-intelligent personalization?
Fields of Study & Subjects
Recommender Systems and Techniques
Ethics and Social Impacts of AI
Information Retrieval and Search Behavior
Publication details
- Journal / source
- ACM International Conference on Web Search and Data Mining (WSDM)
- Pages
- 1–1
- Publication date
- 16 February 2026
- Language
- EN