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Web Personalization
Are you getting the most out of the Web, or is the Web getting all it can out of you? That's the question the ecommerce industry is wrestling with as Web personalization technology takes off.
The potential is great: With Web personalization, users can get more information on the Internet faster because websites already know their interests and needs.
But to gain this convenience, users must give up some information about themselves and their interests—and give up some of their privacy.
Web personalization is made possible by tools that enable websites to collect information about users.
One of the ways is accomplished by having visitors to a site fill out forms with information fields that populate a database. The website then uses the database to match a user's needs to the products or information provided at the site, with middleware facilitating the process by passing data between the database and the website. An example is Seattle-based Amazon.com Inc.'s ability to suggest books or CDs users may want to purchase based on interests they list when registering with the site.
Cookies may be the most recognizable personalization tools. Cookies are bits of code that sit in a user's Internet browser memory and tell websites who the person is—that's how a website is able to greet users by name.
A less obvious means of Web personalization is collaborative-filtering software that resides on a website and tracks users' movements. Wherever users go on the internet, they can't help but leave footprints. And software is getting better at reading the paths users take across the web to discern their interests and viewing habits: from the amount of time they spend on one page to the types of pages they choose.
Collaborative-filtering software compares the information it gains about one user's behavior against data about other customers with similar interests. In this way, users get recommendations like Amazon's “Customers who bought this book also bought...”
In the future, observers say they expect to see more advanced technology like neutral networks helping e-commerce sites learn more about their customers' behaviors.
网站人性化
是你最大化地利用了网站,还是网站将你的信息剥削得一干二净?随着网站人性化技术腾飞,这个问题正 是电商想要解决的。
网站人性化的潜力巨大:网站越来越人性化,知道用户的偏好与需求,这样一来用户就能以更快的速度从 网上获取更多的信息。
但要想获得这种便利的服务,用户就得放弃一些有关自己和自己的兴趣的信息,放弃自己的隐私权。
网站人性化的基础是一些可以收集用户信息的技术。
其中一种方法就是让浏览网站的人填表,表里面包含的信息可以填充网站的信息库。网站接下里就会利用 信息库里面的信息,将用户需求与网站上的产品或者信息匹配,中间软件可以简便此过程,因为它可以在 信息库和网站间传递信息。举个例子,总部位于西雅图的亚马逊公司就能向客户推荐书籍和光盘,因为用 户注册该网站时就列出了自己的兴趣爱好。
信息记录程序可能是最显而易见的人性化工具了。信息记录程序就是位于用户网络浏览器内存中的位码, 它会告诉网站用户的名字,这就是为什么网站知道用户的名字,并向他们打招呼。
另外一个不常为人所知的网站个性化工具就是协作过滤软件,它逗留在网站上,可以追踪用户的动向。无 论用户在哪上网,它们都会留下痕迹。用户浏览网站后,软件会得到充实,就可以辨别出用户的兴趣和浏 览习惯,根据就是用户花在网页上的时间以及用户选择浏览什么样的网页。
协作过滤软件可以自己收集到的某位用户的行为信息与其它有相同兴趣的客户的信息作比较。这样一来, 网站就可以向用户推荐产品了,就像亚马逊公司的做法:“买了这本书的顾客也买了……”
未来,观察员们说希望有更高级的技术出现,做出神经网络以帮助电商网站收集到更多有关用户行为的信息。