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Srinivasa R Ogireddy

from Dublin, CA
Age ~53
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Also known as:
Srinivasa Reddy Ogireddy, Spinivasa R Gireddy, Srinivasa Y
Related to:
Suguna Ogireddy
Connected to:
Victoria A Ogirri, 40Anwar Ogiste, 49Keoki Y Ogitani, 35Shigeo Ogiwara, 68Emmanuelle G Ogland, 43Alyssa A Ogle, 34Andy D Ogle, 66Audrey F Ogle, 61Billy C Ogle, 68Bryan L Ogle, 52

Srinivasa Ogireddy Phones & Addresses

  • Dublin, CA
  • Belmont, CA
  • San Carlos, CA
  • San Mateo, CA
  • 2936 Barton Skwy, Austin, TX 78746 (512) 328-8470
  • 2600 Gracy Farms Ln, Austin, TX 78758 (512) 835-5562
  • 2600 Gracy Farms Ln APT 525, Austin, TX 78758 (512) 791-7262

Work

Position: Private Household Service Occupations

Publications

Us Patents

Method, Medium And System For Determining Whether A Target Item Is Related To A Candidate Affinity Item

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US Patent:
20100121777, May 13, 2010
Filed:
Nov 10, 2009
Appl. No.:
12/615476
Inventors:
Charles McGonigal - Austin TX, US
Russell Salsbury - Cambria CA, US
Saritha Guntumadugu - Cupertino CA, US
Mike Niemann - Austin TX, US
Hemanth Puttaswamy - Fremont CA, US
Srinivasa Ogireddy - San Mateo CA, US
Assignee:
Coremetrics, Inc. - San Mateo CA
International Classification:
G06Q 99/00
G06F 15/173
US Classification:
705347, 709224
Abstract:
Recommendations for purchase are made based on customer behavior across multiple sessions. Correlations used for recommendations include: buy-to-buy (cross-session), view-to-view (same-session), view-to-buy (same-session), and abandon-to-buy (same-session) actions. A preview display allows a merchant to adjust recommendation algorithm weightings to achieve a desired result. A closed-loop system is provided with real-time feedback. The recommendations can be based on various segments of other users, including users of the same search engine.

Multi-Source Consumer Behavior Tracking System

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US Patent:
20120054213, Mar 1, 2012
Filed:
Sep 1, 2010
Appl. No.:
12/873597
Inventors:
Hemanth Puttaswamy - Fremont CA, US
Travis Woodruff - Roanoke TX, US
Srinivasa Ogireddy - San Carlos CA, US
Nipun Batra - Foster City CA, US
Steve Howard - Irving TX, US
International Classification:
G06F 17/30
US Classification:
707758, 707E17009
Abstract:
A process for tracking a consumer's behavior based on his or her entries into a number of cybernetic device sources such as personal computers, automated goods and services dispensing kiosks, automated teller machines and cell phones does not depend exclusively upon the presence of cookies implanted into such devices by vendors or upon a consumer's having provided a positive identification form. The process uses a pairing algorithm to comb elements of information from the source device visitation records in search of one or more common characteristics that can be presumptively attributed to a single consumer. Characteristics such as source device identifiers, phone numbers, street addresses or email addresses are each weighted by a weighting factor that is used to identify the consumer and attribute the visitation record and its associated activity to that consumer at a calculated confidence level. The attributed information can analyzed to track that consumer's behavior.

Method, Medium, And System For Determining Whether A Target Item Is Related To A Candidate Affinity Item

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US Patent:
7636677, Dec 22, 2009
Filed:
May 14, 2007
Appl. No.:
11/748391
Inventors:
Charles McGonigal - Austin TX, US
Russell Salsbury - Cambria CA, US
Saritha Guntumadugu - Cupertino CA, US
Mike Niemann - Austin TX, US
Hemanth Puttaswamy - Fremont CA, US
Srinivasa Ogireddy - San Mateo CA, US
Assignee:
Coremetrics, Inc. - San Mateo CA
International Classification:
G06F 17/30
G06Q 30/00
US Classification:
705 26, 705 27, 705 14
Abstract:
Recommendations for purchase are made based on customer behavior across multiple sessions. Correlations used for recommendations include: buy-to-buy (cross-session), view-to-view (same-session), view-to-buy (same-session), and abandon-to-buy (same-session) actions. A preview display allows a merchant to adjust recommendation algorithm weightings to achieve a desired result. A closed-loop system is provided with real-time feedback. The recommendations can be based on various segments of other users, including users of the same search engine.

Intelligent Offer For Related Products With Preview And Real Time Feedback

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US Patent:
20190279274, Sep 12, 2019
Filed:
May 24, 2019
Appl. No.:
16/422605
Inventors:
- Armonk NY, US
Russell Salsbury - Cambria CA, US
Saritha Guntumadugu - Cupertino CA, US
Mike Niemann - Austin TX, US
Hemanth Puttaswamy - Fremont CA, US
Srinivasa Ogireddy - San Mateo CA, US
International Classification:
G06Q 30/06
G06F 16/9535
G06Q 30/02
Abstract:
Recommendations for purchase are made based on customer behavior across multiple sessions. Correlations used for recommendations include: buy-to-buy (cross-session), view-to-view (same-session), view-to-buy (same-session), and abandon-to-buy (same-session) actions. A preview display allows a merchant to adjust recommendation algorithm weightings to achieve a desired result. A closed-loop system is provided with real-time feedback. The recommendations can be based on various segments of other users, including users of the same search engine.
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Srinivasa R Ogireddy from Dublin, CA, age ~53 Get Report