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In order to provide personal information retrieval service for user, this paper introduces a personalized information retrieval system, which can realize individuation and intelligence of information retrieval according to user interest knowledge via multi-agent collaboration. The construction of user interest model based on browsing history record and registration data is discussed in detail, and...
The vector space model and various statistic/probabilistic approaches are widely used in models of information search for representing documents and user requests. The documents recovered are relatively relevant and generally troubled by noise and silence. Our work is to propose a model whose objective is to improve the results towards a user information need, this will be done by acting on measures...
The rapid growth of World Wide Web has urged the development of retrieval tools like search engines. Topical crawlers have gained large momentum in recent years. In this paper, a parallel web spider model, based on multi-agent system for cooperative information gathering is presented. The system collects Web pages that are on topic. The system employs two types of agents: retrieval and master agents...
With the growing amount of on-line information and its dynamic nature, users' burden of retrieving information has become heavier and existing passive working is too inefficient to meet users' needs. An intelligent information retrieval model based on multi-agent paradigm and conceptual graphs is proposed. The model (IIR agent) has two layers of group agent and personal agent. Subagents of the IIR...
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