从垃圾邮件机器人隐藏电子邮件的有效方法 [英] Effective method to hide email from spam bots
问题描述
< a href = admin [at] example.com
rel =nofollow
onclick =this.href ='mailto:'+'admin'+'@'+'example.com'>与我联系< / a>
你觉得怎么样?是否有效?你也知道或使用了什么其他方法?
这是我使用的方法,服务器端包括例如<! - #include file =emailObfuscator.include - >
其中 emailObfuscator.include
包含以下:
<! - // http://lists.evolt.org/archive/Week-of-Mon -20040202 / 154813.html - >
< script type =text / javascript>
function gen_mail_to_link(lhs,rhs,subject){
document.write(< a href = \mailto);
document.write(:+ lhs + @);
document.write(rhs +?subject =+ subject +\>+ lhs +@+ rhs +< \ / a>);
}
< / script>
要包含地址,我使用JavaScript:
< script type =text / javascript>
gen_mail_to_link('john.doe','example.com','关于你的网站的反馈...');
< / script>
< noscript>
< em>受JavaScript保护的电子邮件地址。激活JavaScript以查看电子邮件。< / em>
< / noscript>
由于自2005年以来我一直通过Gmail收到邮件,垃圾邮件几乎是一个非问题。所以我不能说这个方法有多有效。您可能想阅读此研究 (虽然它很旧)生成了这个图:
>
On my homepage, I'm using this method to hide my email from spam bots:
<a href="admin [at] example.com"
rel="nofollow"
onclick="this.href='mailto:' + 'admin' + '@' + 'example.com'">Contact me</a>
What do you think about it? Is it effective? What other methods do you know or use?
This is the method I used, with a server-side include, e.g. <!--#include file="emailObfuscator.include" -->
where emailObfuscator.include
contains the following:
<!-- // http://lists.evolt.org/archive/Week-of-Mon-20040202/154813.html -->
<script type="text/javascript">
function gen_mail_to_link(lhs,rhs,subject) {
document.write("<a href=\"mailto");
document.write(":" + lhs + "@");
document.write(rhs + "?subject=" + subject + "\">" + lhs + "@" + rhs + "<\/a>");
}
</script>
To include an address, I use JavaScript:
<script type="text/javascript">
gen_mail_to_link('john.doe','example.com','Feedback about your site...');
</script>
<noscript>
<em>Email address protected by JavaScript. Activate JavaScript to see the email.</em>
</noscript>
Because I have been getting email via Gmail since 2005, spam is pretty much a non-issue. So, I can't speak of how effective this method is. You might want to read this study (although it's old) that produced this graph:
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