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Recommendation System based on user interaction data applied to intelligent electronic books

机译:基于用户交互数据的推荐系统应用于智能电子书

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Nowadays, new technologies and the fast growth of the Internet have made access to information easier for all kind of people, raising new challenges to education when using Internet as a medium. One of the best examples is how to guide students in their learning processes. The need to look for guidance from their teachers or other companions that many Internet users experience when endeavoring to choose their readings, exercises o practices is a very common reality. In order to cater for this need many different information and recommendation strategies have been developed. Recommendation Systems is one of these. Recommendation Systems try to help the user, presenting him those objects he could be more interested in, based on his known preferences or on those of other users with similar characteristics. This document tries to present the current situation with regards to Recommendation Systems and their application on distance education over the Internet.
机译:如今,新技术和Internet的迅猛发展使所有人都能更轻松地访问信息,从而在使用Internet作为媒介时对教育提出了新的挑战。最好的例子之一是如何指导学生的学习过程。一个非常普遍的现实就是需要寻求许多互联网用户在尝试选择他们的阅读,练习或练习时会遇到的老师或其他同伴的指导。为了满足这种需求,已经开发了许多不同的信息和推荐策略。推荐系统就是其中之一。推荐系统尝试根据用户的已知偏好或具有类似特征的其他用户的偏好,向用户展示他可能更感兴趣的那些对象。本文档试图介绍有关推荐系统及其在Internet远程教育中的应用的当前状况。

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