Geodesic
Memento Ludi: Information Retrieval from a Game-Theoretic Perspective
Contributions to game theory and management, Tome 4 (2011), pp. 339-346.

Voir la notice de l'article provenant de la source Math-Net.Ru

We develop a macro-model of information retrieval process using Game Theory as a mathematical theory of conflicts. We represent the participants of the Information Retrieval process as a game of two abstract players. The first player is the ‘intellectual crowd’ of users of search engines, the second is a community of information retrieval systems. In order to apply Game Theory, we treat search log data as Nash equilibrium strategies and solve the inverse problem of finding appropriate payoff functions. For that, we suggest a particular model, which we call Alpha model. Within this model, we suggest a method, called shifting, which makes it possible to partially control the behavior of massive users. The paper is asddressed to researchers in both game theory (providing a new class of real life problems) and information retrieval, for whom we present new techniques to control the IR environment. 
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Georgy Parfionov; Romàn Zapatrin. Memento Ludi: Information Retrieval from a Game-Theoretic Perspective. Contributions to game theory and management, Tome 4 (2011), pp. 339-346. http://geodesic.mathdoc.fr/item/CGTM_2011_4_a24/

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