CSR: Small: Efficient and Scalable Systems Support for Mobile Group Formation, Inference, Recommendation and Classification

CSR：小型：高效且可扩展的系统支持移动组形成、推理、推荐和分类

• 批准号: 1528138
• 负责人: Richard Han
• 金额: $ 50万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1528138&HistoricalAwards=false
• 关键词: CSR; Small; Efficient; Scalable; Systems

Users of smartphones are increasingly using their mobile devices to organize activities as mobile groups of friends, family, and colleagues. In order to improve the richness of interaction within such mobile groups, this research project investigates the creation of new mobile group services and the development of a practical framework that will enable such novel capabilities as providing recommendations to mobile groups of people with diverse interests. This project proposes to develop novel ways to identify when cyberbullying by a group of users is occurring in mobile social networks. In addition, since there are millions of groups of users who use social media every day to communicate, this project will investigate how recommendation and identification algorithms for mobile groups of users can be made to scale so they can quickly provide accurate recommendations to such groups of users, and rapidly identify mobile group cyberbullying behavior. This project's research and its intellectual merit focuses on advancing the state of the art in understanding mobile group dynamics, creating accurate recommendation and classification algorithms for mobile groups of users, and developing scalable infrastructure upon which new mobile group applications can be deployed. The research plan is driven by two novel and representative case studies, namely mobile group recommendation and cyberbullying detection in mobile groups. The project will generate an integrated systems framework consisting of six major components to support mobile group applications: mobile client apps; a set of core mobile group services including voting, multicast communication, rating, and role definition; a collection of mobile group information; a mobile group inference engine; a mobile group recommendation and prediction engine; and a mobile group classification engine. Society as a whole may strongly benefit from new mobile group services and algorithms for mobile group recommendation and classification developed within this project, thereby enabling mobile groups of users to more easily and richly interact. Further, the research community will benefit by the creation of open source infrastructure that can stimulate further research on mobile groups of users. The project will produce STEM educational materials for middle/high school students, recruit undergraduates and underrepresented women and minorities for research, integrate the results of the research into classes taught by the investigators, and strengthen interdisciplinary research.

智能手机的用户越来越多地使用他们的移动设备来组织活动，例如朋友、家人和同事的移动群组。为了改善这种移动群体内互动的丰富性，本研究项目调查了新的移动群体服务的创建和实用框架的开发，该框架将使诸如向具有不同兴趣的移动群体提供推荐之类的新能力成为可能。该项目建议开发新的方法来识别移动社交网络中何时发生一群用户的网络欺凌行为。此外，由于每天有数以百万计的用户使用社交媒体进行交流，该项目将调查如何对移动用户群体的推荐和识别算法进行扩展，以便他们能够快速向此类用户群体提供准确的推荐，并快速识别移动群体网络欺凌行为。该项目的研究及其智力优势集中在推动了解移动群动态的最新技术，为移动用户群创建准确的推荐和分类算法，以及开发可扩展的基础设施，在此基础上可以部署新的移动群组应用。该研究计划由两个新颖且具有代表性的案例研究推动，即移动群组推荐和移动群组中的网络欺凌检测。该项目将生成一个由六个主要组件组成的综合系统框架，以支持移动群组应用程序：移动客户端应用程序；一套核心移动群组服务，包括投票、多播通信、评级和角色定义；移动群组信息收集；移动群组推理引擎；移动群组推荐和预测引擎；以及移动群组分类引擎。社会作为一个整体可能会从本项目内开发的新的移动群体服务和移动群体推荐和分类算法中受益，从而使移动用户群体能够更容易和更丰富地互动。此外，研究界将从开放源码基础设施的创建中受益，该基础设施可以刺激对移动用户群体的进一步研究。该项目将为初中生编写STEM教材，招募本科生和代表性不足的妇女和少数民族进行研究，将研究成果纳入调查人员授课的课堂，并加强跨学科研究。