满足个性化学习需求的数字教育出版模式研究

如何从教育内容提供商向教育服务提供商转变,是当前教育出版讨论的热点之一,作者认为解决问题的关键是构建满足个性化学习需求的数字教育出版模式,从学习环境、学习内容、学习过程、学习效果评价四个方面进行研究,提供思路和具体方案。     

当代个性化教学研究述评

近些年来,我国关于个性化教学的研究,在探讨个性化教学的定义,分析个性化教学的缺失,探讨个性化教学模式,形成了个性化教学策略等方面的研究都取得了一定的成绩,但是也存在着个性化研究人员中的一线教师研究多,理论研究者研究的缺失,缺乏对个性化理论基础的探讨等诸多问题与不足。为了更好地促进我国新课程改革的发展,更有效实现个性化教学,笔者在综述以前的研究成果的基础之上,提出了一些展望：加强个性化教学的实验研究,推进个性化教学的理论探究,以及加强国外比较研究。     

基于云中心荐购知识库的图书荐购系统研究

荐购服务是图书馆的一项重要工作。通过对国内外图书馆荐购模式的调查,分析了现有荐购模式存在的缺陷。结合图书馆联盟思想与云服务技术,提出了提高荐购服务利用率、提高荐购服务效率、增强图书馆资源建设能力的有效途径,即构建云中心荐购知识库,并对高校图书馆云中心荐购知识库的实施方案进行了探讨。     

个性化推荐系统中用户多态聚类研究

针对传统协同过滤算法依赖单一用户需求形态影响推荐效果的问题,提出一种基于用户多态聚类的数字图书馆个性化推荐方法。该方法以改进的海明距离计算候选邻居集,结合多态相似度进行二次聚类,预测用户的多态需求度并形成推荐。实验表明,使用多态聚类产生的推荐精确度上优于单一聚类产生的推荐。     

SocConnect: A personalized social network aggregator and recommender

Users of Social Networking Sites (SNSs) like Facebook, LinkedIn or Twitter, are facing two problems: (1) it is difficult for them to keep track of their social friendships and friends’ social activities scattered across different SNSs; and (2) they are often overwhelmed by the huge amount of social data (friends’ updates and other activities). To address these two problems, we propose a user-centric system called “SocConnect” (Social Connect) for aggregating social data from different SNSs and allowing users to create personalized social and semantic contexts for their social data. Users can blend and group friends on different SNSs, and rate the friends and their activities as favourite, neutral or disliked. SocConnect then provides personalized recommendation of friends’ activities that may be interesting to each user, using machine learning techniques. A prototype is also implemented to demonstrate these functionalities of SocConnect. Evaluation on real users confirms that users generally like the proposed functionalities of our system, and machine learning can be effectively applied to provide personalized recommendation of friends’ activities and help users deal with cognitive overload.     

Understanding the adoption of location-based recommendation agents among active users of social networking sites

Nowadays, using increasingly granular data, from real-time location information and detailed demographics to consumers-generated content on the social networking sites (SNSs), businesses are starting to offer precise location-based product recommendation services through mobile devices. Based on the technology acceptance model (TAM), this paper develops a theoretical model to examine the adoption intention of active SNS users toward location-based recommendation agents (LBRAs). The research model was tested by using the Partial Least Squares (PLS) technique. The results show that perceived usefulness, perceived control, and perceived institutional assurance are important in developing adoption intention. Perceived effort saving, special treatment, and social benefit have influences on the adoption intention through the mediating effect of perceived usefulness. Perceived accuracy has direct influence on adoption intention.     

基于本体的数字图书馆个性化信息服务模式研究

本文从本体概念出发,对现有的个性化信息服务技术进行了阐述,从而在本体理论的基础上提出数字图书馆个性化信息服务模式,最后对安全和隐私问题提出进一步研究的期许。     

知识图谱视角下我国图书馆个性化推荐研究趋势分析

以CNKI数据库为数据来源,以"图书馆"与"推荐"为组合主题进行检索,使用CiteSpace软件分析文献信息,通过构建关键词共现网络、聚类视图及时区视图等知识图谱反映研究现状及热点;在全景展示的基础上进行深入解析,从图书馆资源建设、服务创新、技术实现3个角度探讨图书馆个性化推荐研究的发展趋势,并提出相应建议,以期为我国图书馆个性化管理与服务提供借鉴。     

中英文网络问答社区比较研究与评价实验

对Web2.0环境下12个典型的中英文网络互动问答社区的基本信息、交互性、个性化服务等方面进行比较研究,并通过一个问答实验按照三个领域4类问题,对其回答问题的质量与效率等方面进行评价。研究结果对网络问答社区的进一步完善与发展提出建议。