Iterative Ranking from Pair-wise Comparisons
–Neural Information Processing Systems
The question of aggregating pairwise comparisons to obtain a global ranking over a collection of objects has been of interest for a very long time: be it ranking of online gamers (e.g. MSR's TrueSkill system) and chess players, aggregating social opinions, or deciding which product to sell based on transactions. In most settings, in addition to obtaining ranking, finding'scores' for each object (e.g.
Neural Information Processing Systems
Mar-14-2024, 13:47:54 GMT
- Country:
- North America > United States
- Illinois (0.04)
- New York > New York County
- New York City (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Europe > United Kingdom
- England > Oxfordshire > Oxford (0.04)
- Asia > Middle East
- Jordan (0.04)
- Israel > Haifa District
- Haifa (0.04)
- North America > United States
- Genre:
- Research Report > New Finding (0.46)
- Industry:
- Leisure & Entertainment > Games > Chess (0.69)
- Technology: