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On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
Publishers who publish their content on the web act strategically, in a behavior that can be modeled within the online learning framework.
The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents
We study a game-theoretic information retrieval model in which strategic publishers aim to maximize their chances of being ranked first by the search engine while maintaining the integrity of their original documents.
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