Eduardo de Ceano-Vivas Sabau (September 8, 1896 - August 19, 1957) was born in Havana, Cuba. His father was a Spanish soldier during the occupation of Cuba
- San Francisco CA, US Annabel Liu - Los Altos CA, US Iain MacNaughton - San Francisco CA, US Eduardo Vivas - San Francisco CA, US Joseph Florencio - San Jose CA, US Kyle Johnson - Sausalito CA, US Kyle Sosnowski - Menlo Park CA, US Peter Ombres - San Francisco CA, US Qi Liu - Saratoga CA, US Rodrigo Parras - Cascavel, BR
International Classification:
G06Q 30/06 G06Q 30/02 G06Q 20/40
Abstract:
Systems and methods managing interaction between one of a plurality of advisors and a client. Client intent is determined based upon request details indicating a category of interest to the client. One of a plurality of advisors is selected to advise the client based, at least in part, upon the category and the client intent. The client is added to a sales pipeline of the selected advisor, and the selected advisor is prompted, at intervals, to interact with the client. The workload of each advisor is managed. The selected advisor is also prompted to generate and send a curation to the client. The systems and methods also provides e-commerce card fraud protection using conventional transaction processing methodology by including a random code in a pending transaction for the card and finalizing the transaction with the card provider when the code is correctly returned by the client.
- San Francisco CA, US Annabel Liu - Los Altos CA, US Iain MacNaughton - San Francisco CA, US Eduardo Vivas - San Francisco CA, US Joseph Florencio - San Jose CA, US Kyle Johnson - Sausalito CA, US Kyle Sosnowski - Menlo Park CA, US Peter Ombres - San Francisco CA, US Qi Liu - Saratoga CA, US Rodrigo Parras - Cascavel, BR
International Classification:
G06Q 30/06 G06Q 30/02 G06Q 20/40
Abstract:
Systems and methods managing interaction between one of a plurality of advisors and a client. Client intent is determined based upon request details indicating a category of interest to the client. One of a plurality of advisors is selected to advise the client based, at least in part, upon the category and the client intent. The client is added to a sales pipeline of the selected advisor, and the selected advisor is prompted, at intervals, to interact with the client. The workload of each advisor is managed. The selected advisor is also prompted to generate and send a curation to the client. The systems and methods also provides e-commerce card fraud protection using conventional transaction processing methodology by including a random code in a pending transaction for the card and finalizing the transaction with the card provider when the code is correctly returned by the client.
- San Francisco CA, US Annabel Liu - Los Altos CA, US Iain MacNaughton - San Francisco CA, US Eduardo Vivas - San Francisco CA, US Joseph Florencio - San Jose CA, US Kyle Johnson - Sausalito CA, US Kyle Sosnowski - Menlo Park CA, US Peter Ombres - San Francisco CA, US Qi Liu - Saratoga CA, US Rodrigo Parras - Cascavel, BR
International Classification:
G06Q 30/06 G06Q 30/02 G06Q 20/40 G06Q 20/38
Abstract:
Systems and methods managing interaction between one of a plurality of advisors and a client. Client intent is determined based upon request details indicating a category of interest to the client. One of a plurality of advisors is selected to advise the client based, at least in part, upon the category and the client intent. The client is added to a sales pipeline of the selected advisor, and the selected advisor is prompted, at intervals, to interact with the client. The workload of each advisor is managed. The selected advisor is also prompted to generate and send a curation to the client. The systems and methods also provides e-commerce card fraud protection using conventional transaction processing methodology by including a random code in a pending transaction for the card and finalizing the transaction with the card provider when the code is correctly returned by the client.
- 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
International Classification:
G06Q 10/10 G06Q 10/06 G06F 17/30 G06Q 50/00
Abstract:
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.
- 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
International Classification:
G06Q 10/10
Abstract:
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.
Kumaresh Pattabiraman - Sunnyvale CA, US Sachit Kamat - San Carlos CA, US Eduardo Vivas - Miami FL, US
International Classification:
G06F 17/30
Abstract:
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.
Identifying Candidates For Job Openings Using A Scoring Function Based On Features In Resumes And Job Descriptions
- Mountain View CA, US Jacob Bollinger - San Francisco CA, US Ben Martin - San Francisco CA, US Eduardo Vivas - Miami FL, US
International Classification:
G06Q 10/10
US Classification:
705321
Abstract:
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.
Identifying Candidates For Job Openings Using A Scoring Function Based On Features In Resumes And Job Descriptions
- San Francisco CA, US Jacob Bollinger - San Francisco CA, US Ben Martin - San Francisco CA, US Eduardo Vivas - Miami FL, US
Assignee:
Bright Media Corporation - San Francisco CA
International Classification:
G06Q 10/10
US Classification:
705321
Abstract:
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.
Hopebridge 2017 - May 2019
Board Member
Applovin 2017 - May 2019
Board Member
Curated Digital 2017 - May 2019
Chief Executive Officer and Co-Founder
Linkedin Mar 2014 - Apr 2017
Head of Product, Talent Solutions
Bright.com Oct 2011 - Feb 2014
Founder and Chief Product Officer
Education:
Florida International University
Bachelors, Bachelor of Science, Communications
Skills:
Start Ups Mobile Devices Online Advertising Ppc Sem Product Management Marketing Web Analytics Analytics Lead Generation Seo E Commerce Online Marketing Entrepreneurship Mobile Marketing Mobile Applications Management Internet Entrepreneur Competitive Analysis Go To Market Strategy Contextual Advertising Affiliate Marketing Google Analytics Email Marketing Conversion Optimization Google Adwords Photoshop Closing Deals Social Media Phone Etiquette User Experience Linkedin C++ Direct Response Creative Direction Web Development Blackberry Json Online Lead Generation Deal Closure Mobile Advertising Monetization
1100 E Woodfield Rd 101, Schaumburg, IL 60173 9130 S Dadeland Blvd, Miami, FL 33156 1100 E Woodfield Rd, Schaumburg, IL 60173 9130 So Dadeland Blvd SUITE 1602, Miami, FL 33156