Digest: Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
WWW 2026 / Recommender Systems
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
A generative recommendation paper that studies hierarchical structure and preference-aware modeling beyond flat user-history sequences.
Research area
User reactivation, generative recommendation, dynamic retrieval, graph embedding, counterfactual watch-time prediction, and efficient CTR modeling form the main technical line.
Publication record
- Authors
- Z Chen, H Chang, T Liu, C Zhou, Y Cao, J Ding, M Liu, B Qin
- Venue
- Proceedings of the ACM Web Conference 2026
- Year
- 2026
- Area
- Recommender Systems