An Axiomatic Approach to Ranking Systems

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Опубликовано 7 сентября 2016, 16:57
This talk will survey some of our recent work on the axiomatic approach to ranking systems. Ranking systems are systems in which agents rank each other to produce a social ranking. In the axiomatic approach we study ranking systems under the light of basic properties, or axioms. This study can be viewed as an extension of the celebrated theory of social choice, and is applicable to a variety of settings such as page ranking and trust systems. In this talk I will present our axiomatization theorem for the PageRank ranking system, present an impossibility and possibility result for general ranking systems, and discuss the issue of incentives in ranking systems. Finally, I will show some results regarding personalized ranking systems, where a specialized ranking is generated for each agent.
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