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介绍了一个高效的元搜索引擎系统ISeeker，提出了一套全面的搜索引擎评价和选择算法，在对检索结果进行融合处理时尽可能选择最好的结果，而且在用户察看结果时进行在线学习和调整。
This paper introduces a highly efficient meta search engine system, ISeeker, which proposes a comprehensive set of search engine evaluation and selection algorithms. When the results of the search are fused, the best results are selected. When the users view the results, online learning and Adjustment.