Abstract: Web page ranking technology is one of the core technologies of search engine. This paper describes the necessity of Web2.0 community to build semantic search, analyzes the factors impacting the page ranking, and implements the ranking algorithm of search engine to the search module technology which is based on Web2.0 community. Based on the improved algorithm of TF/IDF and PageRank, a search module is worked out which is based on semantic ranking on a developing platform of Web2.0 open source community. Experimental results show that the ranking algorithm is featured as exactly finding the wanted contents, and ranking the efficient results on top.

Key words: Web2.0 technology, search, ranking algorithm

摘要： 网页排序技术是搜索引擎的核心技术之一。描述Web2.0社区构建语义搜索的必要性，分析影响网页排序的因素，将搜索引擎的排序算法借鉴到基于Web2.0社区的搜索模块中，以改进的TF/IDF和PageRank算法为基础，在一个Web2.0开源社区开发平台上实现基于语义排序的搜索模块。测试结果表明，该排序算法具有内容定位精确、有效结果靠前的特点。

关键词: Web2.0技术, 搜索, 排序算法

CLC Number: 

• TP301.6