Data Visualization as Participatory Research: A Model for Digital Collections to Inspire User-Driven Research

The emerging creative practices of digital collections are increasing in prominence thanks to the access to, and appeal of, data visualizations. Interactive data visualizations, such as a map, timeline, chart, graph, or artist’s rendering of data, enable users to pursue their own research interests within a collection and participate in new areas of research. Use of these data visualizations enhances the scope of the collection and enables a modern and diverse thematic collection to emerge. This article considers the question: Does the addition of data visualizations affect how users participate with a research collection? Impacts on collection development, application of user-centered design, and analysis of users’ exploratory strategies are discussed. Examples of data visualizations used in digital humanities projects and digital collections are presented as case studies.     

An analysis of review content and reviewer variables that contribute to review helpfulness

Review helpfulness is attracting increasing attention of practitioners and academics. It helps in reducing risks and uncertainty faced by users in online shopping. This study examines uninvestigated variables by looking at not only the review characteristics but also important indicators of reviewers. Several significant review content and two reviewer variables are proposed and an effective review helpfulness prediction model is built using stochastic gradient boosting learning method. This study derived a mechanism to extract novel review content variables from review text. Six popular machine learning models and three real-life Amazon review data sets are used for analysis. Our results are robust to several product categories and along three Amazon review data sets. The results show that review content variables deliver the best performance as compared to the reviewer and state-of-the-art baseline as a standalone model. This study finds that reviewer helpfulness per day and syllables in review text strongly relates to review helpfulness. Moreover, the number of space, aux verb, drives words in review text and productivity score of a reviewer are also effective predictors of review helpfulness. The findings will help customers to write better reviews, help retailers to manage their websites intelligently and aid customers in their product purchasing decisions.     

高校图书馆的创新管理

从网络时代图书馆客观环境和读者需求出发，阐述新时期图书馆的现代化建设，提出图书馆的创新管理内容，以及图书馆的管理新概念。     

阿克洛夫模型与图书馆馆员素质建设

为适应信息社会的需要，馆员素质建设不容忽视。章以图书馆馆员素质之间的差异为前提，通过应用阿克洛夫模型对图书馆人员素质低下及人才流失的现象进行分析，提出加强馆员素质建设的方法。     

体育教育专业学生英语学习方式调查研究

报告了对沈阳体育学院体育教育专业学生外语学习方式倾向的调查研究,并以问卷为研究工具。运用定量研究方法,分析了个体差异如性别、外语水平等对学生学习方式倾向的影响。结果显示学生喜欢多种外语学习方式,外语成绩优、差学生6种学习方式均无显著差异,男生比女生更喜欢听觉学习,女生比男生更喜欢视觉学习。据此提出外语教师应根据学生的认知特点灵活运用各种教学方式,并指导学生调整和扩展多种学习风格以促进教与学的协调发展。     

终身教育与社区图书馆

人类进入知识经济时代，终身学习、终身教育已经成为必需。在这样的背景下，社区图书馆以形式多样、灵活方便、针对性强的特点将起着积极的作用，同时社区图书馆也应完善自身服务，使之真正成为“居民身边的学校”。     

网络环境下高校图书馆信息服务模式

简要阐述网络环境对高校图书馆信息服务的影响，指出图书馆的服务模式要适应网络环境就必须调整馆藏结构，建设网络化的信息资源；积极拓展图书馆传统服务，创新现代化情报咨询服务，还要充分发挥图书馆的教育职能。     

论军队院校图书馆数字化特色馆藏建设

建设军队院校图书馆数字化馆藏要处理好在线获得与非在线获得、特色数据库与特色数字馆藏、信息组织中《中图法》与军事学科体系、军事信息与其他信息的关系。实行联采、统编、分藏是解决军队院校图书馆数字化特色馆藏问题的有效方法。参考文献4。     

国内数字图书馆建设的反思

在调查咨询的基础上,总结目前我国数字图书馆发展中存在的问题,探讨问题产生的原因并提出解决办法。     

面向知识管理的高校图书馆

章主要引入了知识管理概念、目的、内容，分析知识管理的动态发展，探讨知识管理与高校图书馆业务之向的联系，阐述高校图书馆实施知识管理的措施。