公开(公告)号：US10152586B2

公开(公告)日：2018-12-11

申请号：US15062322

申请日：2016-03-07

Applicant: AT&T Intellectual Property I, L.P.

Inventor： David Gerald Belanger ,  Divesh Srivastava

IPC: G06F21/45 ,  H04W12/02 ,  H04L29/06 ,  H04W12/08 ,  H04W4/021 ,  G06F21/62

Abstract: Concepts and technologies disclosed herein are for managing opt-in and opt-out for private data access. According to one aspect disclosed herein, a mobile device can receive a request to obtain private data associated with a user of the mobile device and, in response to the request, determine whether an application program associated with the request is permitted to access the private data based upon a rule. The mobile device, in response to determining that the application program is permitted to access the private data based upon the rule, can instruct the application program to proceed to obtain the private data. The mobile device, in response to determining that the application program is not permitted to access the private data based upon the rule, can instruct the application program to avoid obtaining the private data.

公开(公告)号：US20170344638A1

公开(公告)日：2017-11-30

申请号：US15168774

申请日：2016-05-31

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Erian Laperi ,  Jeremy A. Dilks ,  Howard Paul Katseff ,  Divesh Srivastava

IPC: G06F17/30

CPC classification number: G06F16/951 ,  G06F16/94

Abstract: A method and apparatus for enriching metadata are disclosed. For example, the method implemented via a processor monitors metadata associated with a first webpage of a plurality of webpages, the first webpage having been determined to be similar to a second webpage of the plurality of webpages, detects a change to the metadata associated with the first webpage, determines whether the change to the metadata associated with the first webpage invokes an update to a metadata associated with the second webpage, and processes the update of the metadata associated with the second webpage when the change invokes the update to the metadata associated with the second webpage.

公开(公告)号：US09262553B2

公开(公告)日：2016-02-16

申请号：US14567113

申请日：2014-12-11

Applicant: AT&T Intellectual Property I, L.P. ,  Board of Regents, The University of Texas System

Inventor： Kadangode K. Ramakrishnan ,  Divesh Srivastava ,  Tae Won Cho ,  Yin Zhang

IPC: G06F17/30 ,  G11B27/10 ,  H04N21/475 ,  H04N21/466

CPC classification number: G06N7/005 ,  G06F17/30038 ,  G06F17/30412 ,  G06F17/3097 ,  G11B27/105 ,  H04N21/4661 ,  H04N21/4668 ,  H04N21/4756

Abstract: Recommendation systems are widely used in Internet applications. In current recommendation systems, users only play a passive role and have limited control over the recommendation generation process. As a result, there is often considerable mismatch between the recommendations made by these systems and the actual user interests, which are fine-grained and constantly evolving. With a user-powered distributed recommendation architecture, individual users can flexibly define fine-grained communities of interest in a declarative fashion and obtain recommendations accurately tailored to their interests by aggregating opinions of users in such communities. By combining a progressive sampling technique with data perturbation methods, the recommendation system is both scalable and privacy-preserving.

公开(公告)号：US20150100599A1

公开(公告)日：2015-04-09

申请号：US14567113

申请日：2014-12-11

Applicant: AT&T Intellectual Property I, L.P. ,  Board of Regents, The University of Texas System

Inventor： Kadangode K. Ramakrishnan ,  Divesh Srivastava ,  Tae Won Cho ,  Yin Zhang

IPC: G06F17/30

CPC classification number: G06N7/005 ,  G06F17/30038 ,  G06F17/30412 ,  G06F17/3097 ,  G11B27/105 ,  H04N21/4661 ,  H04N21/4668 ,  H04N21/4756

Abstract: Recommendation systems are widely used in Internet applications. In current recommendation systems, users only play a passive role and have limited control over the recommendation generation process. As a result, there is often considerable mismatch between the recommendations made by these systems and the actual user interests, which are fine-grained and constantly evolving. With a user-powered distributed recommendation architecture, individual users can flexibly define fine-grained communities of interest in a declarative fashion and obtain recommendations accurately tailored to their interests by aggregating opinions of users in such communities. By combining a progressive sampling technique with data perturbation methods, the recommendation system is both scalable and privacy-preserving.

Abstract translation: 推荐系统广泛应用于互联网应用。 在目前的推荐系统中，用户只能发挥被动的作用，对推荐生成过程的控制有限。 因此，这些系统提出的建议和实际用户兴趣之间经常存在很大的不匹配，这些建议是细粒度和不断发展的。 通过用户分配的推荐体系结构，个人用户可以灵活地定义精细的社区，并以声明方式定义感兴趣的社区，通过汇总用户在这些社区的意见，获得准确定制的兴趣建议。 通过将逐行采样技术与数据扰动方法相结合，推荐系统既可扩展又保密。

公开(公告)号：US08875305B2

公开(公告)日：2014-10-28

申请号：US13887588

申请日：2013-05-06

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Graham Cormode ,  Smriti Bhagat ,  Balanchander Krishnamurthy ,  Divesh Srivastava

IPC: H04L29/06 ,  G06F21/62

CPC classification number: G06F21/6254 ,  H04L63/0421

Abstract: The present disclosure is directed to systems, methods, and computer-readable storage media for anonymizing data over multiple temporal releases. Data is received, and nodes and connections in the data are identified. The data also is analyzed to identify predicted connections. The nodes, the connections, and the predicted connections are analyzed to determine how to group the nodes in the data. The data is published, and the grouping of the nodes is extended to subsequent temporal releases of the data, the nodes of which are grouped in accordance with the grouping used with the data.

Abstract translation: 本公开涉及用于在多个时间版本上匿名数据的系统，方法和计算机可读存储介质。 接收数据，并识别数据中的节点和连接。 分析数据以识别预测的连接。 分析节点，连接和预测连接，以确定如何对数据中的节点进行分组。 发布数据，并且将节点的分组扩展到数据的随后的时间释放，其节点根据与数据一起使用的分组被分组。