The ranking algorithms considered here address the issue of learning to rank, via pairwise preferences (binary comparisons).
- [ ] SVM
- [X] Luce Spectral Ranking cite:bradley52_rank_analy_incom_block_desig
- [X] Rank Centrality cite:bradley52_rank_analy_incom_block_desig
- [ ] Balanced Rank Estimation (BRE) cite:wauthier2013efficient
- [ ] Unbalanced Rank Estimation (URE) cite:wauthier2013efficient
- [X] SpringRank cite:DeBaccoeaar8260
bibliography:ranking.bib