Alejandro A Perez

US Patent:

7886819, Feb 15, 2011

Filed:

Feb 26, 2009

Appl. No.:

12/393741

Inventors:

Alejandro Eduardo Perez - Houston TX, US

Assignee:

Weatherford/Lamb, Inc. - Houston TX

International Classification:

E21B 43/04
E21B 43/08

US Classification:

166227, 1662426

Abstract:

A locking mechanism for securing a jumper tube to a shunt tube in a well screen assembly for use in gravel packing is disclosed. The jumper tube features a telescoping connector that extends to engage the shunt tube and a locking mechanism that extends the connector the proper distance and then locks the connector into place by engaging lugs that are connected to the jumper tube. Also disclosed is an apparatus and method for securing a connector tube to a well screen assembly using a receiver that is attached to the well screen assembly and is configured to receive a connector tube and secure the connector tube into place with screws. The receiver can be mounted to the well screen assembly via the shunt tube, a top/middle-bottom ring assembly, directly to the base pipe.

US Patent:

20200097544, Mar 26, 2020

Filed:

Sep 21, 2018

Appl. No.:

16/138662

Inventors:

- San Francisco CA, US
Jayesh Govindarajan - Palo Alto CA, US
Peter White - San Francisco CA, US
Weiping Peng - San Francisco CA, US
Colleen Smith - Mill Valley CA, US
Vishal Shah - Redmond CA, US
Jacob Nathaniel Huffman - Oakland CA, US
Alejandro Gabriel Perez Rodriguez - Redmond WA, US
Edgar Gerardo Velasco - San Francisco CA, US
Na Cheng - Dublin CA, US

International Classification:

G06F 17/27
G06N 3/08
G06N 3/04

Abstract:

A data processing system analyzes a corpus of conversation data received at an interactive conversation service to train a response recommendation model. The response recommendation model generates response vectors based on custom responses and using the trained model and generates a context vector based on received input at the interactive conversation service. The context vector is compared to the set of response vectors to identify a set of recommended responses, which are recommended to an agent conversing with a user using the interactive conversation service.

US Patent:

20160350310, Dec 1, 2016

Filed:

Jun 16, 2015

Appl. No.:

14/741308

Inventors:

- Mountain View CA, US
Patrick A. Chase - Mountain View CA, US
Claire D. McGinty - Mountain View CA, US
Andrew O. Hatch - Mountain View CA, US
Alejandro Jorge Perez - Mountain View CA, US
Michael Conover - Mountain View CA, US
Samuel Stokes - Mountain View CA, US
Gregory W. Bayer - Mountain View CA, US
Akshay D. Kothari - Mountain View CA, US
Ankit Gupta - Mountain View CA, US

Assignee:

LINKEDIN CORPORATION - Mountain View CA

International Classification:

G06F 17/30

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains one or more metrics associated with user interaction with a set of content items in a member segment of a social network. Next, the system ranks the set of content items by the one or more metrics. The system then generates a content pool for the member segment based on the ranking of the content items. Finally, the system creates a content feed from the content pool for presentation to a user in the member segment.

US Patent:

20160350669, Dec 1, 2016

Filed:

Jun 16, 2015

Appl. No.:

14/741316

Inventors:

- Mountain View CA, US
Patrick A. Chase - Mountain View CA, US
Claire D. McGinty - Mountain View CA, US
Andrew O. Hatch - Mountain View CA, US
Alejandro Jorge Perez - Mountain View CA, US
Michael Conover - Mountain View CA, US
Samuel Stokes - Mountain View CA, US
Gregory W. Bayer - Mountain View CA, US
Akshay D. Kothari - Mountain View CA, US
Ankit Gupta - Mountain View CA, US

Assignee:

LINKEDIN CORPORATION - Mountain View CA

International Classification:

G06N 7/00
G06F 17/30
H04L 29/08

Abstract:

The disclosed embodiments provide a system for processing data. During operation, the system obtains a set of content pools for a user, wherein each content pool in the set of content pools includes a set of content items associated with user activity in a member segment of a social network. Next, the system calculates a set of probabilities of clicking the content items in the content pool. The system then uses the probabilities to order the content items with other content items from other content pools into a content feed for the user. Finally, the system presents the content feed to the user.