RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems
Recommender systems are inherently dynamic feedback loops where prolonged local interactions accumulate into macroscopic structural degradation such as information cocoons. Existing representation learning paradigms are universally constrained by the assumption of a single flat space, forcing topologically grounded user associations and semantically driven historical interactions to be fitted within the same vector space. This excessive coupling of heterogeneous information renders it impossible for researchers to mechanistically distinguish and identify the sources of systemic bias. To overcome this theoretical bottleneck, we introduce Fiber Bundle from modern differential geometry and p...
| Authors | Hui Wang, Tianzhu Hu, Mingming Li et al. |
|---|---|
| Primary category | cs.IR |
| Published | 17 March 2026 |
| Last updated at source | 17 March 2026 |
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