SBIR Phase II: Automated People Information Discovery and Mining

这个小企业创新研究（SBIR）第二阶段项目的更广泛的影响/商业潜力源于其将专业网络从被动转变为主动的潜力。人事信息对于销售、市场营销、招聘、筹款、管理和业务发展方面的商业专业人士来说是很有价值的，可以建立联系，产生线索，并最大限度地利用机会。本项目将进一步将大数据分析技术商业化，从整个互联网中快速捕获、过滤和分析与人相关的信息，并通过移动和web服务将这些信息呈现给用户，用于各种用例，如活动联网等。这些服务将使移动用户能够提前计划他们应该在活动中遇到的人，并使他们能够比目前更深入地了解他们的前景，从而更有效地创造业务。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，用于人员信息，特别强调使活动/会议中的专业网络更富有成效和效率。它在移动设备上提供实时、即时的“人员研究”功能，使商务活动、贸易展览、会议和私人/聚会会议能够有效地建立网络。它超越了现有的常用搜索引擎提供的“基于名称”的关键字搜索，是对纯粹依靠用户自己提供的主观信息的社交网站的补充。基于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解决方案，为企业客户提供一个组织者自助服务（SaaS）平台，与他们的crm集成，并利用Beacon技术跟踪与会者的活动和兴趣。此外，它将包括更多高级功能，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，它将建立一个带有api的平台，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。

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.