SBIR Phase II: Automated People Information Discovery and Mining

SBIR 第二阶段：自动化人员信息发现和挖掘

• 批准号: 1430725
• 负责人: Soyeon Park
• 金额: $ 75万
• 依托单位: Whova
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1430725&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Automated; People

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project results from its potential to transform professional networking from passive to pro-active. People-information is valuable for business professionals in sales, marketing, recruiting, fundraising, M&A and business development, to establish connections, generate leads, and generally maximize opportunities. This project will further commercialize big data analysis techniques to quickly capture, filter, and analyze people related information from the whole Internet, and present such information to users via mobile and web services for various use cases such as networking at events, etc. These services will enable mobile users to plan in advance whom they should meet at events, and equip them with much deeper insights regarding their prospects than are currently available, so that they can generate business more efficiently.This Small Business Innovation Research (SBIR) Phase II project is intended to further develop and commercialize the company's big data analysis and mining technology for people-information, with specific emphasis on making professional networking at events/meetings more productive and efficient. It provides a real-time, instant, "people research" capability on mobile devices to enable effective networking at business events, trade shows, conferences and private/Meetup meetings. It goes beyond existing "name-based" keyword search provided by commonly-used search engines, and is complementary to social network sites, which rely purely on subjective information provided by users themselves. Based on the company's current collaboration with large event organizers and their marketing/sales teams, the project will further extend the event mobile solution for enterprise customers by providing an organizer self-service (SaaS) platform, integrating with their CRMs, and leveraging Beacon technology to track attendee activities and interests in trade shows. In addition, it will include more advanced features to motivate individual users to use the app more frequently, including outside such events. Finally, it will build a platform with APIs to allow OEM partners to generate and use the people-information in activities such as recruiting, marketing, etc.

这个小企业创新研究（SBIR）第二阶段项目的更广泛的影响/商业潜力来自其将专业网络从被动转变为主动的潜力。人员信息对于销售、营销、招聘、筹款、并购和业务发展方面的商业专业人士来说是有价值的，可以建立联系，产生线索，并通常最大限度地利用机会。 该项目将进一步商业化大数据分析技术，以快速捕获、过滤和分析整个互联网中与人相关的信息，并通过移动的和Web服务将这些信息呈现给用户，用于各种用例，如活动中的网络等。这些服务将使移动的用户能够提前计划他们应该在活动中遇到的人，并使他们对自己的前景有比目前更深入的了解，这样他们就可以更有效地开展业务。这个小企业创新研究（SBIR）二期项目旨在进一步开发和商业化公司的大数据分析和挖掘技术，特别强调在活动/会议上使专业网络更有成效和效率。它在移动的设备上提供实时、即时的“人员研究”功能，以便在商业活动、贸易展览、会议和私人/会议上实现有效的网络连接。它超越了常用搜索引擎提供的现有“基于姓名”的关键词搜索，是对纯粹依赖用户自己提供的主观信息的社交网站的补充。基于该公司目前与大型活动组织者及其营销/销售团队的合作，该项目将进一步扩展活动移动的解决方案，为企业客户提供组织者自助服务（SaaS）平台，与他们的CRM集成，并利用Beacon技术跟踪参加者的活动和兴趣。此外，它还将包括更先进的功能，以激励个人用户更频繁地使用该应用程序，包括在此类活动之外。最后，它将构建一个具有API的平台，以允许OEM合作伙伴在招聘，营销等活动中生成和使用人员信息。