User-Level Behavioral Analytics

用户级行为分析

• 批准号: 533204-2018
• 负责人: Bagheri, Ebrahim
• 金额: $ 11.73万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693921
• 关键词: User; Level; Behavioral; Analytics

The research and development activities proposed in this project are centered around providing descriptive and prescriptive analytics based on device handling behavioral data collected from handheld devices. Based on device handling behavioral data, we intend to explore three research objectives: a) developing and learning appropriate representations for domain entities such as devices, protection plans, and incident types, among others, for the sake of performing analogical reasoning; b) customizing protection plans based on the collected historical data for certain target end user communities; and c) recommending the most suitable protection plan for both cold-start and warm-resume end users depending on their interaction with the industry partner's mobile application.

该项目中提出的研究和开发活动围绕着提供基于设备处理从手持设备收集的行为数据的描述性和规范性分析。基于设备处理行为数据，我们打算探索三个研究目标：a）开发和学习域实体（如设备、保护计划和事件类型等）的适当表示，以便执行类比推理; B）基于收集的历史数据为特定目标最终用户社区定制保护计划;以及c）根据冷启动和热恢复终端用户与行业合作伙伴的移动的应用的交互，为冷启动和热恢复终端用户推荐最合适的保护计划。