Data and visual analytics for decision making in next generation media properties

用于下一代媒体资产决策的数据和视觉分析

• 批准号: 461898-2013
• 负责人: An, Aijun
• 金额: $ 3.64万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=576735
• 关键词: Data; visual; analytics; decision; making

The central goal of our research is to develop tools to support media companies in transition from print to digital. We want to better understand the differences in consumer interaction between print and digital media, to facilitate better interactions with the new digital products and overall consumer experience through personalization and sentiment analysis of existing consumers, and to develop visualization tools to improve management understanding of the available data. The tools will directly address one or more of the following three research questions: 1) How do subscribers and non-subscribers consume print and/or online media what is similar and what different? 2) How can social media data be leveraged to build and retain readers, and to inform a sophisticated next generation personalized recommendation system? 3) What data visualization tools can be created to better utilize consumer behavior, understand differences in geographic location and encourage reader engagement and respond to and create new patterns of consumption? We seek to develop tools that intersect the needs of business (strategic planning) and consumers (improvement awareness of their decision making process). These tools will support data analysis and bridge PSP: Globe and Mail

我们研究的中心目标是开发工具，以支持媒体公司从印刷到数字的过渡。我们希望更好地了解印刷媒体和数字媒体之间消费者互动的差异，通过对现有消费者的个性化和情感分析，促进与新数字产品和整体消费者体验的更好互动，并开发可视化工具，以提高管理层对可用数据的理解。这些工具将直接解决以下三个研究问题中的一个或多个： 1)订阅者和非订阅者如何消费印刷和/或在线媒体，有什么相似之处，有什么不同？ 2)如何利用社交媒体数据来建立和留住读者，并为复杂的下一代个性化推荐系统提供信息？ 3)可以创建哪些数据可视化工具来更好地利用消费者行为，了解地理位置的差异，鼓励读者参与并响应和创建新的消费模式？ 我们致力于开发能够满足企业（战略规划）和消费者（提高决策过程意识）需求的工具。这些工具将支持数据分析和桥接 PSP：地球仪和邮件