2009/05/20 by George Parfionov, Parfionov, George, Romàn Zapatrin +2
Computer Science · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #H.3.3 #Information Retrieval (cs.IR) #Information Retrieval and Search Behavior #cs.GT #cs.IR
paper · pdf · doi:10.48550/arxiv.0905.3356
arxiv created 2009/05/20 · openalex publication_date 2009/05/20 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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. This Note is addressed 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.