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Contributions to Game Theory and Management, 2011, Volume 4, Pages 339–346
(Mi cgtm198)
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Memento Ludi: Information Retrieval from a Game-Theoretic Perspective
Georgy Parfionova, Romàn Zapatrinb a Friedmann Laboratory For Theoretical Physics,
Department of Mathematics, SPb EF University, Griboyedova 30-32,
191023 St. Petersburg, Russia
b Department of Information Science,
The State Russian Museum, Inżenernaya 4,
191186, St. Petersburg, Russia
Abstract:
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.
Citation:
Georgy Parfionov, Romàn Zapatrin, “Memento Ludi: Information Retrieval from a Game-Theoretic Perspective”, Contributions to Game Theory and Management, 4 (2011), 339–346
Linking options:
https://www.mathnet.ru/eng/cgtm198 https://www.mathnet.ru/eng/cgtm/v4/p339
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