摘要
对网站的评价,一般从点击率入手进行分析,但未考虑虚假点击率。因此本文通过给出全新网站栏目评价指标体系,对网站栏目进行评价。首先通过3种方法对用户浏览网站的行为偏好进行评价,然后通过用 BP 神经网络对数据进行检验,并进行预测评价,最后得到一个合理可靠的评价结果。通过对结果进行分析,可以得出该方法在网站评价中可行性的结论。因此,运用神经网络对网站进行评价。对网站管理员进行网站管理具有很强的指导作用。
When evaluating website,the analysis general starts with the click rate,but it does not consider false chcks.So this paper gives a new site section evaluation index system,to evaluate the section of the site.First,three methods are used to evaluate the users' preferences when browsing the website,and then BP neural network is used to test the data and make predictive evaluations and finally a reasonable and reliable evaluation result is obtained.Through the analysis of the result,a conclusion is made that the method is feasible in website evaluation.Therefore,using neural networks to evaluate the site provides strong support to the webmaster for site manage- ment.
出处
《计算机与网络》
2008年第21期40-42,共3页
Computer & Network
