A User Modeling Server for Contemporary Adaptive Hypermedia: An Evaluation of the Push Approach to Evidence Propagation
A User Modeling Server for Contemporary Adaptive Hypermedia: An Evaluation of the Push Approach to Evidence Propagation
复制标题
当代自适应超媒体的用户建模服务器：证据传播推送方法的评估
DOI：
10.1007/978-3-540-73078-1_6
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发表时间：
2007
期刊：
影响因子：
--
通讯作者：
V. Zadorozhny
中科院分区：
文献类型：
--
作者：
M. Yudelson;Peter Brusilovsky;V. Zadorozhny
尽管用户建模服务器越来越受欢迎，但很少有人关注优化和评估这些服务器的性能。我们认为，实现问题及其对服务器性能的影响应该成为用户建模社区的中心焦点，因为用户建模服务器的实际负载急剧增加。本文重点关注用户建模服务器的一个特定实现级别方面——证据传播的推拉方法的选择。我们提出了用户建模服务器 CUMULATE 的新的基于推式的实现，并将其性能与原始基于拉式的 CUMULATE 服务器的性能进行了比较。
Despite the growing popularity of user modeling servers, little attention has been paid to optimizing and evaluating the performance of these servers. We argue that implementation issues and their influence on server performance should become the central focus of the user modeling community, since there is a sharply increasing real-life load on user modeling servers, This paper focuses on a specific implementation-level aspect of user modeling servers --- the choice of pushor pullapproaches to evidence propagation. We present a new push-based implementation of our user modeling server CUMULATE and compare its performance with the performance of the original pull-based CUMULATE server.