计算机工程与应用Issue(8)：245-249,5.DOI:10.3778/j.issn.1002-8331.1305-0330
基于点击日志的搜索引擎用户满意度评价研究
Evaluating user satisfaction of search engine using click log
摘要
Abstract
To solve the problem that traditional search engine evaluation method is of large cost and low efficiency, this paper presents a method to evaluate the user satisfaction of search engine based on user click log in this paper. Based on the analysis of search engine user click log, search result ranking, click rate and average browsing time are selected as indica-tors to estimate user satisfaction. Then it builds search engine evaluation models using linear regression analysis, logistic regression analysis and BP neural network method respectively. Experimental results verify the validity of the models by comparing the performance of different models.关键词
搜索引擎评价/用户满意度/用户点击日志/反向传播(BP)神经网络Key words
search engine evaluation/user satisfaction/user click log/Back Propagation(BP)neural network分类
信息技术与安全科学引用本文复制引用
邓晓妹,武刚..基于点击日志的搜索引擎用户满意度评价研究[J].计算机工程与应用,2015,(8):245-249,5.基金项目
中央高校基本科研业务费专项资金（No.BLYX200928）。 （）
