Matthew P Abrams

US Patent:

20210133774, May 6, 2021

Filed:

Oct 30, 2020

Appl. No.:

17/085811

Inventors:

- Redwood Shores CA, US
Matthew Perry Abrams - Las Cruces NM, US
Andrew Edward Brownsword - Bowen Island, CA
John Patrick Connelly - Portland OR, US
Rahul Dilip Jagad - Sunnyvale CA, US
Ron Nordan - Tel-Aviv, IL

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06Q 30/02
G06F 16/22
G06F 16/25
G06F 9/48

Abstract:

Disclosed are techniques for processing user profiles using data structures that are specialized for processing by a GPU. More particularly, the disclosed techniques relate to systems and methods for evaluating characteristics of user profiles to determine whether to offload certain user profiles to the GPU for processing or to process the user profiles locally by one or more central processing units (CPUs). Processing user profiles may include comparing the interest tags included in the user profiles with logic trees, for example, logic trees representing marketing campaigns, to identify user profiles that match the campaigns.

US Patent:

20200228565, Jul 16, 2020

Filed:

Jan 11, 2019

Appl. No.:

16/246137

Inventors:

- Redwood Shores CA, US
Daniel Fichter - Brooklyn NY, US
Matthew Perry Abrams - Las Cruces NM, US
Richard Scott LaBarca - Bayport NY, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

H04L 29/06
H04L 29/08
G06N 20/00
H04L 12/26

Abstract:

Certain aspects and features of the present disclosure relate to systems and methods for automatically classifying hosts in real-time. For instance, classifying hosts as bots, and subsequently mitigating or blocking traffic from the hosts classified as bots can be advantageous in real-time data exchange systems. In a real-time data exchange system, data can be exchanged between a server and a target host in real-time when the target host accesses a webpage. Inhibiting data communication between servers and hosts operated by bot scripts can reduce fraudulent activity. In some implementations, hosts can be automatically classified into various groups based at least in part on the data included in requests received from the hosts.

US Patent:

20180329935, Nov 15, 2018

Filed:

May 11, 2018

Appl. No.:

15/977330

Inventors:

- Redwood Shores CA, US
Gennady Nurik - Ashburn VA, US
Matthew Abrams - Las Cruces NM, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 17/30
G06N 99/00
G06N 3/08

Abstract:

The present disclosure generally relates to storing, processing, and classification of content resources, such as documents, web-based resources, and other content. More particularly, the present disclosure describes techniques for distributed storage of network session data in hierarchical data structures stored on multiple servers and/or physical storage devices, and techniques for analyzing and classifying the distributed hierarchical structures. Such techniques may include executing different machine-learning algorithms on different servers and/or different storage devices, and generating node mapping data between a plurality of different hierarchical structures and a top-level derivative hierarchy that references the underlying hierarchical structures in order to access and manage the different distributed taxonomies within the underlying hierarchical structures.

US Patent:

20180329969, Nov 15, 2018

Filed:

Mar 23, 2018

Appl. No.:

15/934810

Inventors:

- Redwood Shores CA, US
Matthew Abrams - Las Cruces NM, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 17/30

Abstract:

The present disclosure relates to synchronizing entity identifiers across multiple data centers. In some embodiments, an entity identifier translation server may be deployed within a cloud-based distributed environment. The entity identifier translation server may receive data from multiple different data centers and detect changes/updates to entity identifiers within the data centers. In response to detected changes, the entity identifier translation server may identify one or more corresponding entity identifiers within the other data centers. For each of the corresponding entity identifiers within the other data centers, the entity identifier translation server may determine whether or not the corresponding entity identifier is to be synchronized with the newly-changed entity identifier in the first data center, and if so, may initiate synchronization processes.

US Patent:

20180322229, Nov 8, 2018

Filed:

Oct 30, 2017

Appl. No.:

15/797652

Inventors:

- Redwood Shores CA, US
Kendra Mariko Chen - Shoreline WA, US
Hyunjung Lee - Santa Clara CA, US
John Patrick Connelly - Santa Cruz CA, US
Vernon W. Hui - Bellevue WA, US
Sanjeev Khodaskar - Sunnyvale CA, US
Jeevan Gheevarghese Joseph - Dublin CA, US
Matthew P. Abrams - Las Cruces NM, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 17/50
H04L 29/06

Abstract:

Techniques are provided to quickly process stored objects to generate an accurate estimate of the number of live objects that will be responsive to a client's filtering request defined at least in part based on a filtering parameter. Stored objects generated from user interactions with webpages are modified to simulate live objects and processed by a live object-intake simulator. The simulated results are then filtered using the filtering parameter to form a subset of matching objects. An estimate of the number of live objects produced by the filtering parameter is generated using at least the count of the objects in the subset. A confidence metric of the estimate is computed, in some cases using a statistical model. Under certain conditions, the estimate is delivered, the confidence metric is delivered, and/or live object intake based on the filtering parameter is initiated.