TrueSkills: rating systems
When evaluating the success of a team is not sophisticated processes, according to an out-of-date Elo rating model is often used, which evaluates only victory or defeat, improperly works with a draw, and ignores individual players in a team with different experience. At the first in 2018 seminar Research Group "Machine Learning and Social Computing" Alexander Sirotkin on the example of the game "What? Where? When?" told about the TrueSkill rating system, and how to improve it, by giving the greater contribution of the leader and estimation of cases where the team played in the incomplete composition.
So, TrueSkill calculates the actual rating of each player as part of the team, but also applies to online marketing, to assess the success of contextual advertising. Rating systems are a very important topic for our Research Group. For example, Andrey Shelopugin uses GLICKO model, which similar to TrueSkill, in his work. Also, we hope that members of the Research Group will be able to apply TrueSkill in their research.
Great seminar! Alexander knows how to talk about non-trivial themes of the Bayesian Ranking in a simple way. This helped not only to get acquainted with the basic models of ratings for the first time but also to understand their structure.
Белялов Ильдар Кафисович