SBIR Phase II: Adaptive Personalization and Context Management for Location-Based Mobile Devices (AdaptTribe)

SBIR 第二阶段：基于位置的移动设备的自适应个性化和上下文管理 (AdaptTribe)

• 批准号: 0349778
• 负责人: Daniel Greening
• 金额: $ 50万
• 依托单位: BIGTRIBE CORPORATION
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-15 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0349778&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Adaptive; Personalization

This Small Business Innovation Research Phase II research project develops personalized user-interfaces for location-based services. This adaptive proximity-based personalization algorithm recommends nearby venues based on predicted user interest and distance. It will further develop a highly distributed algorithm that allows handsets to perform part of the calculation, dramatically reducing computation costs that central servers would otherwise bear. This context-based user-interface allows users to chain operations, concentrating activities by proximity, and avoiding retyping. This project will expand the user- interface advancements to include personalizing categories, and a user-interface approach that mixes categories with individual venues. In addition it will explore algorithms that mix different types of venues on the same screen. Identity federation will help retailers and portals more readily deal with intermediary services. Self-service retail interfaces can allow traditional "brick-and-mortar" retailers to cost-effectively provide "click-and-mortar" services to consumers. A SOAP-based web-service will allow portals to filter data and configure look-and-feel more precisely. However, the proposed object tag mechanism will likely be good enough for most portals, as the output format can be configured easily through CSS, and filtering can be performed through the company's self-service portal interfaceThe end result of this project is a product that can be incorporated in enterprise logistics applications that help field personnel find, reserve, use and store resources while being able to improve the speed that consumers navigate user-interfaces, even when location is irrelevant. The in-handset personalization may ensure better privacy and security, even in non-location based applications. The product will use proximity to maximize value: building business-consumer relationships, enhancing social harmony and strengthening communities, as a result.

这个小企业创新研究第二阶段的研究项目开发个性化的用户界面，基于位置的服务。这种自适应的基于邻近度的个性化算法基于预测的用户兴趣和距离推荐附近的场地。它将进一步开发一种高度分布式的算法，允许手机执行部分计算，大大减少中央服务器将承担的计算成本。这种基于上下文的用户界面允许用户连锁操作，通过接近度集中活动，并避免重新输入。这个项目将扩大用户界面的进步，包括个性化的类别，和一个用户界面的方法，混合类别与个别地点。此外，它还将探索在同一屏幕上混合不同类型场地的算法。身份联盟将帮助零售商和门户网站更容易处理中介服务。自助服务零售界面可以让传统的“实体”零售商以成本效益高的方式向消费者提供“点击式”服务。基于SOAP的Web服务将允许门户更精确地过滤数据和配置外观。然而，所提出的对象标记机制对于大多数门户来说可能足够好，因为可以通过CSS轻松地配置输出格式，并且可以通过公司的自助门户界面执行过滤。该项目的最终结果是一个可以并入企业物流应用程序的产品，该应用程序可以帮助现场人员查找、预订、使用和存储资源，同时能够提高消费者导航用户界面的速度，即使位置无关紧要。手持机内个性化可以确保更好的隐私和安全性，即使在非基于位置的应用中。该产品将利用邻近性实现价值最大化：建立企业与消费者的关系，促进社会和谐，从而加强社区。