Search

Nima Khajehnouri

from Santa Monica, CA
Age ~45
Get Report
Also known as:
Ni Khajehnouri, Nima Null, Khajehnouri Nima, Nima I
Connected to:
Mehak Khajuria, 32Sahil Khajuria, 44Shripal K Khajuria, 41Peter A Khakali, 59Temur M Khakberdiev, 65Fatima A Khakee, 49Chil Khakham, 45Sejal R Khakhar, 51Daniel I Khaki, 36Regina Khakimova, 38

Nima Khajehnouri Phones & Addresses

  • Santa Monica, CA
    • s
  • 1875 S Beverly Glen Blvd #405, Los Angeles, CA 90025
  • 1120 S Barrington Ave, Los Angeles, CA 90049
  • 11832 Goshen Ave, Los Angeles, CA 90049 (310) 479-6078
  • 11645 Chenault St, Los Angeles, CA 90049 (310) 440-0813
  • 3767 Mentone Ave, Los Angeles, CA 90034
  • Irvine, CA
  • Santa Ana, CA

Work

Company: Netseer Aug 2005 Position: Vice president of engineering

Education

Degree: PhD School / High School: University of California, Los Angeles 2001 to 2007 Specialities: Electrical Engineering

Skills

Hadoop • Distributed Systems • Cloud Computing • Algorithms • Big Data • Java • Management • Scalability • Machine Learning • Computer Science • Optimization • Signal Processing • Data Mining • Matlab • Engineering Management • Software Engineering • Product Management • Software Development • Mapreduce • System Architecture • Large Scale Development • Cassandra • Large Scale Systems • Hive • Springs • Hibernate • Prediction • Recommender Systems • Distributed Algorithms • Latex • Algorithm Design • Rest • Digital Signal Processors

Industries

Internet

Resumes

Resumes

Nima Khajehnouri Photo 1

Vice President Of Engineering - Head Of Monetization And Discover Engineering

View page
Location:
Venice, CA
Industry:
Internet
Work:
NetSeer since Aug 2005
Vice President of Engineering
Education:
University of California, Los Angeles 2001 - 2007
PhD, Electrical Engineering Sharif University of Technology
Skills:
Hadoop
Distributed Systems
Cloud Computing
Algorithms
Big Data
Java
Management
Scalability
Machine Learning
Computer Science
Optimization
Signal Processing
Data Mining
Matlab
Engineering Management
Software Engineering
Product Management
Software Development
Mapreduce
System Architecture
Large Scale Development
Cassandra
Large Scale Systems
Hive
Springs
Hibernate
Prediction
Recommender Systems
Distributed Algorithms
Latex
Algorithm Design
Rest
Digital Signal Processors

Business Records

Name / Title
Company / Classification
Phones & Addresses
Nima Khajehnouri
Neonim Kaagement LLC
1120 S Barrington Ave, Los Angeles, CA 90049
3661 S Bear St, Santa Ana, CA 92704
Nima Khajehnouri
Pars Media Enterprise LLC
E Commerce · E-Commerce · Online Social Media, E-Commerce
19366 Kilfinan St, Northridge, CA 91326
3240 Sawtelle Blvd, Los Angeles, CA 90066
Nima Khajehnouri
Paarsi Media LLC
19366 Kilfinan St, Northridge, CA 91326

Publications

Us Patents

Generating A Conceptual Association Graph From Large-Scale Loosely-Grouped Content

View page
US Patent:
20110113032, May 12, 2011
Filed:
Oct 15, 2010
Appl. No.:
12/906051
Inventors:
RICCARDO BOSCOLO - CULVER CITY CA, US
BEHNAM ATTARAN REZAEI - SANTA CLARA CA, US
VWANI P. ROYCHOWDHURY - LOS ANGELES CA, US
ALBERT CHERN - FOUNTAIN VALLEY CA, US
NIMA KHAJEHNOURI - LOS ANGELES CA, US
International Classification:
G06F 17/30
US Classification:
707737, 707E17046
Abstract:
A method for generating a conceptual association graph from structured content includes grouping content nodes into one or more topically biased clusters, the content nodes comprising structured digital content and unstructured digital content, the grouping based at least in part on the connectedness of each content node member to other content node members in the same cluster. The method also includes, responsive to the grouping, tagging the content nodes with one or more descriptive concepts. The method also includes, responsive to the tagging, establishing one or more associations between the one or more concepts, the one or more associations indicating a relevance of the one or more associations, the indicating based at least in part on patterns of co-occurrence of concepts in the tagged content nodes.

Concept-Level User Intent Profile Extraction And Applications

View page
US Patent:
20140067535, Mar 6, 2014
Filed:
Sep 3, 2013
Appl. No.:
14/017123
Inventors:
Vwani Roychowdhury - Los Angeles CA, US
Sanjiv Ghate - Sunnyvale CA, US
Nima Khajehnouri - Los Angeles CA, US
Riccardo Boscolo - Culver City CA, US
John Mracek - Los Altos CA, US
International Classification:
G06F 17/30
G06Q 50/00
G06Q 30/02
US Classification:
705 1454, 707748, 707740
Abstract:
Methods and systems for extracting intents and intent profiles of users, as inferred from the different activities they execute and data they share on social media sites, and then (i) monetization of such intents via targeted advertisements, and (ii) enhancement of user experience via organization of their contact lists and conversations and posts based on their content and conceptual context.

Behavioral Targeting For Tracking, Aggregating, And Predicting Online Behavior

View page
US Patent:
20090300009, Dec 3, 2009
Filed:
Jun 1, 2009
Appl. No.:
12/476205
Inventors:
Behnam A. Rezaei - Santa Clara CA, US
Riccardo Boscolo - Culver City CA, US
Nima Khajehnouri - Los Angeles CA, US
Vwani P. Roychowdhury - Los Angeles CA, US
Himawan Gunadhi - San Jose CA, US
Assignee:
NETSEER, INC. - Santa Clara CA
International Classification:
G06F 17/30
US Classification:
707 5, 707 10, 705 1449, 707E17032, 707E17108
Abstract:
A pre-computed concept map represents concepts, concept metadata, and relationships between the plurality of concepts. Online user behavior may be predicted by correlating one or more online events of a user with one or more features of the concept map, aggregating a concept map history of the user to obtain online behavior over time, aggregating online behavior of the user and one or more other users to obtain aggregated online user behavior, and predicting future online behavior of the user based at least in part on the online behavior of the user and the aggregated online user behavior. The predicted behavior may be used to target ads that the user is likely to find relevant.

Machine Learning Modeling Using Social Graph Signals

View page
US Patent:
20210224661, Jul 22, 2021
Filed:
Apr 8, 2021
Appl. No.:
17/225767
Inventors:
- Santa Monica CA, US
Jason Brewer - Marina del Rey CA, US
Nima Khajehnouri - Los Angeles CA, US
Hadi Minooei - Irvine CA, US
Benjamin C. Steele - Oak Park CA, US
Qian You - Marina del Rey CA, US
International Classification:
G06N 5/02
G06F 16/951
G06N 20/00
Abstract:
Systems and methods are provided for receiving a request for lookalike data, the request for lookalike data comprising seed data and generating sample data from the seed data and from user data for a plurality of users, to use in a lookalike model training. The systems and methods further provide for capturing a snapshot of social graph data for a plurality of users and computing social graph features based on the seed data and the user data for the plurality of users, training a lookalike model based on the sample data and the computed social graph features to generate a trained lookalike model, generating a lookalike score for each user of the plurality of users in the user data using the trained lookalike model, and generating a list comprising a unique identifier for each user of the plurality of users and an associated lookalike score for each unique identifier.

Concept-Level User Intent Profile Extraction And Applications

View page
US Patent:
20210141814, May 13, 2021
Filed:
Nov 17, 2020
Appl. No.:
16/950816
Inventors:
- Menlo Park CA, US
Vwani P. Roychowdhury - Los Angeles CA, US
Sanjiv Ghate - Sunnyvale CA, US
Nima Khajehnouri - Los Angeles CA, US
Riccardo Boscolo - Culver City CA, US
John Mracek - Los Altos CA, US
International Classification:
G06F 16/28
G06Q 30/02
G06Q 50/00
Abstract:
Methods and systems for extracting intents and intent profiles of users, as inferred from the different activities they execute and data they share on social media sites, and then (i) monetization of such intents via targeted advertisements, and (ii) enhancement of user experience via organization of their contact lists and conversations and posts based on their content and conceptual context.

System To Track Visitation Metrics

View page
US Patent:
20200275235, Aug 27, 2020
Filed:
May 12, 2020
Appl. No.:
16/872960
Inventors:
- Santa Monica CA, US
Yiwei Ma - Los Angeles CA, US
Nima Khajehnouri - Los Angeles CA, US
Rohan Monga - Culver City CA, US
Shuo Wu - Los Angeles CA, US
International Classification:
H04W 4/021
H04L 29/08
Abstract:
A visitation tracking system tracks user visitation to locations of interest to generate and report visualizations of the user visitation data. The visitation tracking system may be or include a group of one or more server machines configured to receive a user input specifying a location of interest, cause display of a presentation of a set of proximity borders within a region in response to the user input specifying the location of interest, wherein the region is based on the location of interest, receives a selection of a region to monitor (e.g., proximity borders, geo-fences), detects entries of client devices to a geo-fence represented by the region to monitor, and causes display of a notification in response to the detection of the entries.

Concept-Level User Intent Profile Extraction And Applications

View page
US Patent:
20190370270, Dec 5, 2019
Filed:
Jun 4, 2019
Appl. No.:
16/430742
Inventors:
- MENLO PARK CA, US
Vwani P. Roychowdhury - Los Angeles CA, US
Sanjiv Ghate - Sunnyvale CA, US
Nima Khajehnouri - Los Angeles CA, US
Riccardo Boscolo - Culver City CA, US
John Mracek - Los Altos CA, US
Assignee:
Netseer, Inc. - MENLO PARK CA
International Classification:
G06F 16/28
G06Q 30/02
G06Q 50/00
Abstract:
Methods and systems for extracting intents and intent profiles of users, as inferred from the different activities they execute and data they share on social media sites, and then (i) monetization of such intents via targeted advertisements, and (ii) enhancement of user experience via organization of their contact lists and conversations and posts based on their content and conceptual context.

Deriving Audiences Through Filter Activity

View page
US Patent:
20180025372, Jan 25, 2018
Filed:
Jul 25, 2016
Appl. No.:
15/218990
Inventors:
- Venice CA, US
Farnaz Azmoodeh - Venice CA, US
Nima Khajehnouri - Los Angeles CA, US
Peter Sellis - Venice CA, US
International Classification:
G06Q 30/02
H04W 4/02
G06Q 50/00
H04L 29/08
Abstract:
Systems and methods are described for an audience derivation system to build user profiles based on user interactions with distributed media content, such as filters. The audience derivation system may be or include any instrumentality or aggregate of instrumentalities operable to compute, process, store, display, generate, communicate, or apply various forms of data for user profile building, audience derivation, control, or other purposes.
Control profile
Nima Khajehnouri from Santa Monica, CA, age ~45 Get Report