Eduardo Luis Vivas, 50461 Woodcrest Rd, Wayne, PA 19087

2019019, Jun 27, 2019

Mar 30, 2018

15/942352

- Redmond WA, US
Eduardo Vivas - Miami FL, US
Alexis Blevins Baird - San Francisco CA, US
Erik Eugene Buchanan - Mountain View CA, US
Benjamin John McCann - Mountain View CA, US

G06Q 10/10
G06Q 10/06
G06F 17/30
G06Q 50/00

Techniques for suggesting roles for hiring searches are described An example system comprises a processor, a storage device, and a memory device holding an instruction set executable on the processor to cause the system to perform operations. The system determines an organization employing a user, and identifies, based on the organization, suggested roles to hire for. Bach suggested role includes a tide. Additionally, the system causes presentation of at least some of the suggested roles, and accesses, based on a selection of one of the presented suggested roles, member profiles of members of an online system. Moreover, the system extracts attributes from the member profiles, and generates a search query based on the extracted attributes. Furthermore, the system executes the query on the member profiles in the online system to return search results. Then, the system causes presentation, on a display device, of at least some of the search results.

2017015, Jun 1, 2017

Feb 29, 2016

15/056969

- Mountain View CA, US
Christina Lynn Lopus - San Francisco CA, US
Xianren Wu - Santa Clara CA, US
Prashanth Govindarajan - San Jose CA, US
Eduardo Vivas - Miami FL, US

G06Q 10/10

This disclosure relates to systems and methods for recommending qualifications for an available position. In one example, a method includes receiving user input that identifies an available position, generating a set of qualifications for the available position by determining qualifications that are included in one or more user profiles at an online social networking service, the user profiles for persons who currently hold a position at a location of the available position and similar to the available position, and recommending the set of qualifications to be included in a description of the available position.

2016009, Mar 31, 2016

Dec 23, 2014

14/581849

Kumaresh Pattabiraman - Sunnyvale CA, US
Sachit Kamat - San Carlos CA, US
Eduardo Vivas - Miami FL, US

G06F 17/30

Systems, methods and a machine-readable media are described herein for a relevance booster module to calculate a relevance, with respect to at least one characteristic of a query, of each piece of content in a set of collected content and a set of premium content. The relevance booster module increases a calculated relevance of at least one piece of content in the set of premium content. The relevance booster module generates a list in which each piece of content in the set of collected content and the set of premium content is ranked according to a respective calculated relevance.

2014035, Dec 4, 2014

Jun 27, 2014

14/318467

- Mountain View CA, US
Jacob Bollinger - San Francisco CA, US
Ben Martin - San Francisco CA, US
Eduardo Vivas - Miami FL, US

G06Q 10/10

705321

A computer-based method, and computer system, for matching candidates with job openings. The technology more particularly relates to methods of providing a candidate with a score for a particular job opening, where the score is derived from a comparison of features in the candidate's resume with job features in a description of the job opening, as well as use of external data gathered from other sources and based on information contained in the candidate's resume and/or in the description of the job opening. Particular features are weighted to take account of their significance in matching candidates to job openings in a statistical survey of such matching. The technology further provides for notifying employers that one or more high scoring candidates have been identified.

2014012, May 1, 2014

Oct 26, 2012

13/662312

- San Francisco CA, US
Jacob Bollinger - San Francisco CA, US
Ben Martin - San Francisco CA, US
Eduardo Vivas - Miami FL, US

Bright Media Corporation - San Francisco CA

G06Q 10/10

705321

A computer-based method, and computer system, for matching candidates with job openings. The technology more particularly relates to methods of providing a candidate with a score for a particular job opening, where the score is derived from a comparison of features in the candidate's resume with job features in a description of the job opening, as well as use of external data gathered from other sources and based on information contained in the candidate's resume and/or in the description of the job opening. Particular features are weighted to take account of their significance in matching candidates to job openings in a statistical survey of such matching. The technology further provides for notifying employers that one or more high scoring candidates have been identified.