Research map / Label-efficient and robust learning / Recognition and long-tail
Recommendation with Social Dimensions
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| SoDimRec (social dimensions) vs LOCABAL | MF-based social recommender · Epinions 85% training | MAE: 0.9039 -> 0.8885 | Helped |
| SoDimRec vs LOCABAL | MF-based social recommender · Ciao 85% training | RMSE: 1.0821 -> 1.0519 | Helped |
| add social relations to matrix factorization | MF · Ciao and Epinions | MAE/RMSE | Helped |
| add heterogeneity term (social dimension preferences, lambda1) (ablation) | SoDimRec · Epinions | MAE/RMSE | Helped |
| add weak dependency connection term (lambda2) (ablation) | SoDimRec · Epinions | MAE/RMSE | Helped |
| add both heterogeneity and weak dependency terms (ablation) | SoDimRec · Epinions | MAE/RMSE | Helped |
Closest papers by meaning
- Disentangled Modeling of Preferences and Social Influence for Group Recommendation (AAAI 2025 · similarity 0.88)
- Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning (AAAI 2025 · similarity 0.87)
- Social Recommendation via Graph-Level Counterfactual Augmentation (AAAI 2025 · similarity 0.85)
- Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach (AAAI 2025 · similarity 0.85)
- Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design (ICML 2025 · similarity 0.84)
- Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation (AAAI 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.