Privacy issues in electronic commerce and e-learning

Web个性化是一种使网站适应个人需求的互联网技术。一般来说，它是基于用户配置文件的，该配置文件汇总了网站对个人用户的了解。不幸的是，这些信息往往是在用户不知情或未征得用户同意的情况下获得的。在这项研究中，我将重点放在一类特殊的网络个性化技术上，称为推荐系统，主要用于电子商务环境中。推荐系统也被用于电子学习的背景下，以帮助学生选择课程和课程。

Web personalization is an Internet technique for adapting websites to individuals. In general, it is based on the user profile, which summarizes what the website knows about the individual user. Unfortunately, this information is too often obtained without the user's knowledge or consent. In this research, I focus on a special class of web personalization technique, known as recommender systems, which have been used primarily in the context of electronic commerce. Recommender systems have also been used in the context of e-learning in order to help students choose programs and courses.