基于用户行为分析的校园网搜索引擎排序方法

为提高校园网搜索引擎的查准率，提出一种新的校园网搜索引擎排序方法。该方法基于用户查询主题、用户浏览时间和页面点击等用户行为特征，计算新的页面相关度得分，改进搜索引擎的排序结果，为用户提供更准确的查询服务。实验结果表明，在不降低查全率的情况下，应用该排序方法的查准率有明显提高。

Campus Network Search Engine Ranking Method Based on User Behavior Analysis

In order to improve the precision ratio of campus network search engine, this paper proposes a new campus network search engine ranking method. This method calculates the new page relevance score based on users’ behavior features such as user queries, user browsing time, page hits, and improves the search engine ranking results, which provides users with more accurate inquiry services. Experimental results show that the precision rate of ranking method is markedly improved.