基于Agent的元搜索引擎结果优化技术

Result Optimization of Agent-based Meta Search Engine

在使用元搜索引擎进行检索的过程中,由于返回结果的数量较大,不利于用户快速、准确地找到所需信息。提出一种基于Agent的元搜索引擎结果优化技术,旨在通过建立兴趣模型对检索结果进行优化,从而针对不同用户提供更具个性化的信息。

There are too many search results of Meta Search Engine,so users can not find the information that they need quickly and correctly. We introduce the result optimization technology of Meta Search Engine based on agent. By using user's interests model, the search results can be filtered, then more personal results can be presented to different users.'