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Jerome M Pesenti

from New York, NY
Age ~51
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Also known as:
Jerone M Pesenti
Phone and address:
2 River Ter APT 26D, New York, NY 10282
(412) 421-6045
Related to:
Jerone M Pesenti, 51Matteo PesentiPatricia N Pesenti, 49
Connected to:
Linda S Peserik, 79Katherine A Pesesky, 42Marquessa C Pesesky, 28Rowena T Peseti, 41Donald W Peseux, 96Stephanie C Pesez, 50Judy K Pesha, 81Margaret J Peshak, 108Dane A Peshe, 75Andrew Peshek, 50

Jerome Pesenti Phones & Addresses

  • 2 River Ter APT 26D, New York, NY 10282 (412) 421-6045
  • 6674 Woodwell St, Pittsburgh, PA 15217 (412) 421-6045
  • 6412 Aylesboro Ave, Pittsburgh, PA 15217 (412) 421-6045
  • 663 Maryland Ave, Pittsburgh, PA 15232 (412) 361-4159
  • Shadyside, PA

Work

Company: Facebook Jan 2018 Position: Vice president of ai

Education

School / High School: Paris - Sud University (Paris Xi) 1995 to 2000 Specialities: Mathematics

Skills

Big Data • Machine Learning • Enterprise Search • Enterprise Software • Information Retrieval • Natural Language Processing • Cloud Computing • Software Development • Distributed Systems • Artificial Intelligence • Data Mining • Software Engineering • Integration • Saas • Business Intelligence • Knowledge Management • Text Mining • Computational Linguistics • Agile Methodologies • Search • Hadoop • Semantic Web • Information Architecture • Text Analytics

Languages

English • French • Italian • Spanish

Industries

Internet

Resumes

Resumes

Jerome Pesenti Photo 1

Vice President Of Ai

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Location:
1710 Murray Ave, Pittsburgh, PA 15217
Industry:
Internet
Work:
Facebook
Vice President of Ai
Benevolentai Sep 2016 - Dec 2017
Ceo, Benevolenttech
Benevolentai Sep 2016 - Dec 2017
Member Board of Directors
Ibm Feb 2016 - Aug 2016
Vice President, Watson Platform
Ibm Jan 2014 - Feb 2016
Vice President, Watson Core Technology
Education:
Paris - Sud University (Paris Xi) 1995 - 2000
Sorbonne Université 1997 - 1998
Ecole Normale Supérieure 1991 - 1994
Université Paris - Sorbonne 1992 - 1994
Carnegie Mellon University
École Normale Supérieure - Psl
Skills:
Big Data
Machine Learning
Enterprise Search
Enterprise Software
Information Retrieval
Natural Language Processing
Cloud Computing
Software Development
Distributed Systems
Artificial Intelligence
Data Mining
Software Engineering
Integration
Saas
Business Intelligence
Knowledge Management
Text Mining
Computational Linguistics
Agile Methodologies
Search
Hadoop
Semantic Web
Information Architecture
Text Analytics
Languages:
English
French
Italian
Spanish

Publications

Us Patents

Clustering System And Method

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US Patent:
8402029, Mar 19, 2013
Filed:
Jul 29, 2011
Appl. No.:
13/194609
Inventors:
Raul Valdes-Perez - Pittsburgh PA, US
Andre dos Santos Lessa - Pittsburgh PA, US
Christopher Palmer - Pittsburgh PA, US
Jerome Pesenti - Pittsburgh PA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/30
US Classification:
707737, 707708, 707722, 707736, 707740, 707752, 707706, 707731
Abstract:
An increase in information available to a user of computing technologies has a tendency to increase the number of topics that are similarly related. Given the large amount of information that is now available, it is increasingly likely that a first set of search results generated in response to an initial search query will contain information that is not of interest to the user. What is needed in the art is a technique to enable a search query to be conducted by taking advantage of linguistic feedback. Furthermore, what is needed is a technique to enable the presentation of search results to be refined in a manner based on what is not of interest to a user, either intrinsically or because the user has already seen and evaluated certain information and next wants to see more or different information.

Clustering System And Method

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US Patent:
20090019026, Jan 15, 2009
Filed:
Jul 9, 2007
Appl. No.:
11/774908
Inventors:
Raul E. Valdes-Perez - Pittsburgh PA, US
Andre dos Santos Lessa - Pittsburgh PA, US
Christopher Robert Palmer - Pittsburgh PA, US
Jerome Pesenti - Pittsburgh PA, US
Assignee:
VIVISIMO, INC. - Pittsburgh PA
International Classification:
G06F 17/30
US Classification:
707 5, 707E17108
Abstract:
An increase in information available to a user of computing technologies has a tendency to increase the number of topics that are similarly related. Given the large amount of information that is now available, it is increasingly likely that a first set of search results generated in response to an initial search query will contain information that is not of interest to the user. What is needed in the art is a technique to enable a search query to be conducted by taking advantage of linguistic feedback. Furthermore, what is needed is a technique to enable the presentation of search results to be refined in a manner based on what is not of interest to a user, either intrinsically or because the user has already seen and evaluated certain information and next wants to see more or different information.

Domain Centric Natural Language Query Answering

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US Patent:
20190377726, Dec 12, 2019
Filed:
Aug 21, 2019
Appl. No.:
16/547132
Inventors:
- ARMONK NY, US
Yunyao Li - San Jose CA, US
Christopher R. Palmer - Pittsburgh PA, US
Jerome M. Pesenti - Pittsburgh PA, US
International Classification:
G06F 16/242
G06F 16/2457
Abstract:
Embodiments of the present invention disclose a method, computer program product, and system for searching a database using a user entered search query. A search query for a database is received by the computer and the computer applies condition-action rules based on natural language processing rules to identify one or more phrases within the search query that is associated an entity identifier. The computer further identifies any taxonomy variants that have been established for the identified phrases. The computer creates a search string that includes search query and the entity identifiers. The database search is conducted by the computer and the results are displayed for the user.

Domain Centric Natural Language Query Answering

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US Patent:
20170109401, Apr 20, 2017
Filed:
Oct 20, 2015
Appl. No.:
14/887720
Inventors:
- Armonk NY, US
Yunyao Li - San Jose CA, US
Christopher R. Palmer - Pittsburgh PA, US
Jerome M. Pesenti - Pittsburgh PA, US
International Classification:
G06F 17/30
Abstract:
Embodiments of the present invention disclose a method, computer program product, and system for searching a database using a user entered search query. A search query for a database is received by the computer and the computer applies condition-action rules based on natural language processing rules to identify one or more phrases within the search query that is associated an entity identifier. The computer further identifies any taxonomy variants that have been established for the identified phrases. The computer creates a search string that includes search query and the entity identifiers. The database search is conducted by the computer and the results are displayed for the user.

Holistic Federated Ranking Algorithm

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US Patent:
20160132503, May 12, 2016
Filed:
Nov 7, 2014
Appl. No.:
14/536327
Inventors:
- Armonk NY, US
Jerome M. PESENTI - Pittsburgh PA, US
International Classification:
G06F 17/30
Abstract:
Techniques are disclosed for generating a unified ranking of search results received from a plurality of distinct search resources. A computing system executing a federated search application receives a set of ranked search results from multiple search resources (e.g., web-based search engines, public databases and catalogs, etc.). Each search result identifies an item and includes metadata characterizing the item. The federated search application determines a unified ranking for the items identified in the search results that preserves a relative ranking of each set of items, such that a result for a given item is ranked above other results for items in the associated set of items is ranked above the other results in the unified ranking.

Holistic Federated Ranking Algorithm

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US Patent:
20160132505, May 12, 2016
Filed:
Apr 22, 2015
Appl. No.:
14/693529
Inventors:
- Armonk NY, US
Jerome M. PESENTI - Pittsburgh PA, US
International Classification:
G06F 17/30
Abstract:
Techniques are disclosed for generating a unified ranking of search results received from a plurality of distinct search resources. A computing system executing a federated search application receives a set of ranked search results from multiple search resources (e.g., web-based search engines, public databases and catalogs, etc.). Each search result identifies an item and includes metadata characterizing the item. The federated search application determines a unified ranking for the items identified in the search results that preserves a relative ranking of each set of items, such that a result for a given item is ranked above other results for items in the associated set of items is ranked above the other results in the unified ranking.
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Jerome M Pesenti from New York, NY, age ~51 Get Report