公开(公告)号：US09471718B2

公开(公告)日：2016-10-18

申请号：US13829252

申请日：2013-03-14

Applicant: Tendril Networks, Inc.

Inventor： Michael Bukhin ,  Paul Cole ,  Charles D. Corbin ,  Emily Weitkamp

IPC: G06F17/50

CPC classification number: G06F17/5004 ,  G06Q30/02 ,  G06Q50/06

Abstract: The technology disclosed herein provides accurate, targeted, building improvement content in a way that resonates with the user by considering the user's whole ecosystem. The technology uses details of the user's home, neighborhood, family, environmental and historical factors, goals, economic situation, and motivations and preferences to tailor content to a user's personal situation. A server or other computing device may accomplish this by receiving data from the client, a third party, or data local to the server; building modeling constructs based on these data sets such as a physics-based model of the building and a behavioral model of the user; operating these models relative to possible discrete building improvement content units; and using the results to determine personalized building improvement content for the user such as, for example, a webpage.

Abstract translation: 本文所公开的技术通过考虑用户的整个生态系统而以与用户共鸣的方式提供准确的，有针对性的建筑物改进内容。 该技术使用用户家庭，社区，家庭，环境和历史因素，目标，经济状况，动机和偏好的细节来定制用户个人情况的内容。 服务器或其他计算设备可以通过从客户端，第三方或服务器本地的数据接收数据来实现此目的; 基于这些数据集的建筑建模构造，例如建筑物的基于物理的模型和用户的行为模型; 相对于可能的离散建筑物改进内容单元来操作这些模型; 以及使用结果来确定用户的个性化建筑物改进内容，例如网页。

公开(公告)号：US20140278264A1

公开(公告)日：2014-09-18

申请号：US13829252

申请日：2013-03-14

Applicant: TENDRIL NETWORKS, INC.

Inventor： Michael Bukhin ,  Paul Cole ,  Charles D. Corbin ,  Emily Weitkamp

IPC: G06F17/50

CPC classification number: G06F17/5004 ,  G06Q30/02 ,  G06Q50/06

Abstract: The technology disclosed herein provides accurate, targeted, building improvement content in a way that resonates with the user by considering the user's whole ecosystem. The technology uses details of the user's home, neighborhood, family, environmental and historical factors, goals, economic situation, and motivations and preferences to tailor content to a user's personal situation. A server or other computing device may accomplish this by receiving data from the client, a third party, or data local to the server; building modeling constructs based on these data sets such as a physics-based model of the building and a behavioral model of the user; operating these models relative to possible discrete building improvement content units; and using the results to determine personalized building improvement content for the user such as, for example, a webpage.

Abstract translation: 本文所公开的技术通过考虑用户的整个生态系统而以与用户共鸣的方式提供准确的，有针对性的建筑物改进内容。 该技术使用用户家庭，社区，家庭，环境和历史因素，目标，经济状况，动机和偏好的细节来定制用户个人情况的内容。 服务器或其他计算设备可以通过从客户端，第三方或服务器本地的数据接收数据来实现此目的; 基于这些数据集的建筑建模构造，例如建筑物的基于物理的模型和用户的行为模型; 相对于可能的离散建筑物改进内容单元来操作这些模型; 以及使用结果来确定用户的个性化建筑物改进内容，例如网页。