Applying content analysis method,this article sums up the research progress of visual search engine in China from two aspects:domain application and system implementation. It concludes that system implementation is mainly divided into four categories:literature visual search engine,image search engine based on content characteristics,visual search engine based on user behavior,and visual search engine based on clustering technology.%运用内容分析法,从领域应用、系统实现两方面归纳总结了国内可视化搜索引擎的研究进展,阐述了系统实现主要分为文献可视化搜索引擎、基于内容特征图像搜索引擎、基于用户行为可视化搜索引擎、聚类可视化搜索引擎四类.
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