Personalized Multimedia Content Generation Using the QoE Metrics in Distance Learning Systems
Personalized Multimedia Content Generation Using the QoE Metrics in Distance Learning Systems
复制标题
在远程学习系统中使用 QoE 指标生成个性化多媒体内容
DOI：
--
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
D. Davcev
中科院分区：
文献类型：
--
作者：
Aleksandar Karadimce;D. Davcev
多媒体学习内容的个性化是指对多媒体内容进行分类，以满足特定用户的个人兴趣、偏好、背景和情景背景-由用户配置文件捕获。为了给用户提供个性化的远程学习材料，选择合适的多媒体学习内容已经成为最重要的挑战之一。本文的主要贡献是创建了一种新的自适应多媒体学习模型，该模型根据QOS和QOE度量之间的映射关系动态地改变内容。该模型提供根据用户认知风格定制的个性化多媒体内容，并根据上下文感知的网络条件对内容进行调整。主要关注于跟踪上下文感知的用户行为，以便生成具有个性化学习内容的适当且细粒度的用户配置文件。利用OPNET网络仿真软件对不同模型的个人用户配置文件进行了仿真。仿真结果证实了所建模型的正确性。个性化多媒体内容；自适应远程教育系统；情境感知；OPNET；用户模型。
Personalization of multimedia learning content means to classify the multimedia content to meet a specific user’s individual interest, preference, background and situational context – captured by a user profile. Appropriate choice of multimedia learning content has become as one of the most important challenges in order to provide user with personalized distance learning material. The main contribution of this paper is the creation of new model for adaptive multimedia learning that dynamically changes the content depending of the mapping relations between the QoS and QoE metrics. The proposed model delivers personalized multimedia content tailored to user cognitive style and adapting the content according the context – aware network conditions. Main focus is given to tracking the context-aware user behavior in order to generate an appropriate and fine-grained user profile with personalized learning content. The simulation of different models of individual user profiles were developed using the OPNET network simulation software. The presented simulation results confirmed the correctness of the developed model. Keywords-personalized multimedia content; adaptive distance learning system; context-aware; OPNET; user profile.