Distributed Web Search as a Stochastic Game

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Distributed Web Search as a Stochastic Game
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-specific search engines provide search services, and metasearchers distribute user’s queries to only the most suitable search engines. Previous research has investigated methods for engine selection and merging of search results (i.e. performance improvements from the user’s perspective). We focus instead on performance from the service provider’s point of view (e.g, income from queries processed vs. resources used to answer them). We analyse a scenario in which individual search engines compete for user queries by choosing which documents (topics) to index. The challenge is that the utilities of an engine’s actions should depend on the uncertain actions of competitors. Thus, naive strategies (e.g, blindly indexing lots of popular documents) are ineffective. We model the competition between search engines as a stochastic game, and propose a reinforcement learning approach to managin...
Rinat Khoussainov, Nicholas Kushmerick
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Authors Rinat Khoussainov, Nicholas Kushmerick
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