基于用户导航模式的智能数字对象动态链接
Dynamic Linking of Smart Digital Objects Based on User Navigation Patterns
摘要：
我们讨论了一种方法来动态生成数字对象之间的链接，通过一个无监督学习机制，分析用户的链接遍历模式。我们用一个包含150个复杂数据对象（称为桶）的测试床进行了一个实验。每个存储桶管理自己的内容，提供与用户交互的方法，并单独维护一组到其他存储桶的链接。我们证明，桶能够动态调整他们的链接到其他桶根据用户的链接选择，从而产生一个有意义的网络桶关系。我们的研究结果表明，这种自适应网络的链接桶近似集体链接偏好的社区用户
英文摘要：
We discuss a methodology to dynamically generate links among digital objects by means of an unsupervised learning mechanism which analyzes user link traversal patterns. We performed an experiment with a test bed of 150 complex data objects, referred to as buckets. Each bucket manages its own content, provides methods to interact with users and individually maintains a set of links to other buckets. We demonstrate that buckets were capable of dynamically adjusting their links to other buckets according to user link selections, thereby generating a meaningful network of bucket relations. Our results indicate such adaptive networks of linked buckets approximate the collective link preferences of a community of user
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
