Abe TahaBellevue, WA

Abe Taha Phones & Addresses

Bellevue, WA

1563 Parrot Ave, Sunnyvale, CA 94087 (217) 384-5383

1263 Lakeside Dr #1195, Sunnyvale, CA 94085

1563 Parrot Ave, Sunnyvale, CA 94087 (408) 830-9142

Emails

Mentions for Abe Taha

Publications & IP owners

Us Patents

Trust Propagation Through Both Explicit And Implicit Social Networks

US Patent:
2006029, Dec 28, 2006
Filed:
Aug 2, 2006
Appl. No.:
11/498637
Inventors:
Pavel Berkhim - Sunnyvale CA, US
Zhichen Xu - San Jose CA, US
Jianchang Mao - San Jose CA, US
Daniel Rose - Cupertino CA, US
Abe Taha - Sunnyvale CA, US
Farzin Maghoul - Hayward CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 7/00
US Classification:
707102000
Abstract:
The present invention is directed towards systems and methods for trust propagation. The method according to one embodiment comprises calculating a first feature vector for a first user, calculating a second feature for a second user and comparing the first feature vector with the second feature vector to calculate a similarity value. A determination is made as to whether the similarity value falls within a threshold. If the similarity value falls within the threshold, a relationship is recorded between the first user and the second user in a first user profile and a second user profile.

Trust Propagation Through Both Explicit And Implicit Social Networks

US Patent:
2013022, Aug 29, 2013
Filed:
Apr 9, 2013
Appl. No.:
13/859208
Inventors:
Yahoo! Inc. - , US
Zhichen Xu - San Jose CA, US
Jianchang Mao - San Jose CA, US
Daniel E. Rose - Cupertino CA, US
Abe Taha - Sunnyvale CA, US
Farzin Maghoul - Hayward CA, US
Assignee:
YAHOO! INC. - Sunnyvale CA
International Classification:
G06F 17/30
US Classification:
707734
Abstract:
The present invention is directed towards systems and methods for trust propagation. The method according to one embodiment comprises calculating a first feature vector for a first user, calculating a second feature for a second user and comparing the first feature vector with the second feature vector to calculate a similarity value. A determination is made as to whether the similarity value falls within a threshold. If the similarity value falls within the threshold, a relationship is recorded between the first user and the second user in a first user profile and a second user profile.

Tunable Statistical Ids

US Patent:
2022021, Jul 7, 2022
Filed:
Mar 23, 2022
Appl. No.:
17/702676
Inventors:
- Redwood Shores CA, US
Abe Taha - Sunnyvale CA, US
Kendra Mariko Chen - Shoreline WA, US
Guohan Gao - San Jose CA, US
Aleksandar Mastilovic - San Jose CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06Q 30/02
Abstract:
A method, system, and computer program product for managing user identification codes in an interne advertising environment. One aspect implements a system including a database engine to store a plurality of signals comprising characteristics and/or values received from a user device. A user ID generator calculates collision statistics and/or fragmentation statistics to form a first mapping function that is in turn used to generate a plurality of identification codes based at least in part a first set of selected signals. A calibration module produces measurements determined from collision quantities and/or fragmentation quantities using the first mapping function, wherein the measurements are determined by comparing the plurality of identification codes to entries in a known ID database. A sequencing module generates updated sequences of mapping functions.

Tunable Statistical Ids

US Patent:
2021010, Apr 8, 2021
Filed:
Oct 21, 2020
Appl. No.:
17/076552
Inventors:
- Redwood Shores CA, US
Abe Taha - Sunnyvale CA, US
Kendra Mariko Chen - San Jose CA, US
Guohan Gao - San Jose CA, US
Aleksandar Mastilovic - Redwood Shores CA, US
Assignee:
Oracle International Corporation - Redwood Shores CA
International Classification:
G06Q 30/02
Abstract:
A method, system, and computer program product for managing user identification codes in an internet advertising environment. One aspect implements a system including a database engine to store a plurality of signals comprising characteristics and/or values received from a user device. A user ID generator calculates collision statistics and/or fragmentation statistics to form a first mapping function that is in turn used to generate a plurality of identification codes based at least in part a first set of selected signals. A calibration module produces measurements determined from collision quantities and/or fragmentation quantities using the first mapping function, wherein the measurements are determined by comparing the plurality of identification codes to entries in a known ID database. A sequencing module generates updated sequences of mapping functions.

Trust Propagation Through Both Explicit And Implicit Social Networks

US Patent:
2017011, Apr 27, 2017
Filed:
Jan 6, 2017
Appl. No.:
15/400083
Inventors:
- Sunnyvale CA, US
Zhichen Xu - San Jose CA, US
Jianchang Mao - San Jose CA, US
Daniel E. Rose - Cupertino CA, US
Abe Taha - Sunnyvale CA, US
Farzin Maghoul - Hayward CA, US
International Classification:
G06F 17/30
Abstract:
The present invention is directed towards systems and methods for trust propagation. The method according to one embodiment comprises calculating a first feature vector for a first user, calculating a second feature for a second user and comparing the first feature vector with the second feature vector to calculate a similarity value. A determination is made as to whether the similarity value falls within a threshold. If the similarity value falls within the threshold, a relationship is recorded between the first user and the second user in a first user profile and a second user profile.

Tunable Statistical Ids

US Patent:
2016005, Feb 25, 2016
Filed:
Jul 2, 2015
Appl. No.:
14/791074
Inventors:
- Redwood Shores CA, US
Abe TAHA - Sunnyvale CA, US
Kendra Mariko CHEN - San Jose CA, US
Guohan GAO - San Jose CA, US
Aleksandar MASTILOVIC - San Jose CA, US
Assignee:
ORACLE INTERNATIONAL CORPORATION - Redwood Shores CA
International Classification:
G06Q 30/02
Abstract:
A method, system, and computer program product for managing user identification codes in an internet advertising environment. One aspect implements a system including a database engine to store a plurality of signals comprising characteristics and/or values received from a user device. A user ID generator calculates collision statistics and/or fragmentation statistics to form a first mapping function that is in turn used to generate a plurality of identification codes based at least in part a first set of selected signals. A calibration module produces measurements determined from collision quantities and/or fragmentation quantities using the first mapping function, wherein the measurements are determined by comparing the plurality of identification codes to entries in a known ID database. A sequencing module generates updated sequences of mapping functions.

Managing Progressive Statistical Ids

US Patent:
2016005, Feb 25, 2016
Filed:
Jul 2, 2015
Appl. No.:
14/791105
Inventors:
- Redwood Shores CA, US
Abe TAHA - Sunnyvale CA, US
Kendra Mariko CHEN - San Jose CA, US
Guohan GAO - San Jose CA, US
Aleksandar MASTILOVIC - San Jose CA, US
Assignee:
ORACLE INTERNATIONAL CORPORATION - Redwood Shores CA
International Classification:
G06Q 30/02
Abstract:
A method, system, and computer program product for managing user identification codes in an internet advertising environment. One aspect implements a system including a database engine to store a plurality of signals comprising characteristics and/or values received from a user device. A user ID generator calculates collision statistics and/or fragmentation statistics to form a first mapping function that is in turn used to generate a plurality of identification codes based at least in part a first set of selected signals. A calibration module produces measurements determined from collision quantities and/or fragmentation quantities using the first mapping function, wherein the measurements are determined by comparing the plurality of identification codes to entries in a known ID database. A sequencing module generates updated sequences of mapping functions.

NOTICE: You may not use PeopleBackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. PeopleBackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.