Mohammad A Sabah

US Patent:

20220321672, Oct 6, 2022

Filed:

Mar 14, 2022

Appl. No.:

17/654666

Inventors:

- Los Angeles CA, US
Mo LIN - Los Angeles CA, US
Mohammad SABAH - San Pedro CA, US

International Classification:

H04L 67/306
G06N 20/00

Abstract:

Embodiments of the present disclosure provide for improved management, selection, and provision of network asset data objects. For example, embodiments described throughout are configured to score various network assets corresponding to real-world assets, items, products, and/or the like, for selection and provision associated with one or more particular user profile identifiers. Embodiments are configured to train network asset scoring model(s) based on specific data, such as prioritized network asset data set(s), such that the trained network asset scoring model(s) efficiently generate more accurate, improved scores for network asset data objects. Additional or alternative embodiments are configured to provide data tagged network asset set(s) utilizing specially trained model(s), such as one or more multi-armed bandit models and/or one or more network asset scoring model(s).

US Patent:

20220207557, Jun 30, 2022

Filed:

Dec 31, 2020

Appl. No.:

17/139904

Inventors:

- Los Angeles CA, US
Mohammad SABAH - San Pedro CA, US
Qiqi AI - Gardena CA, US
Mo LIN - Los Angeles CA, US
Aakash PATHAK - Marina Del Rey CA, US

International Classification:

G06Q 30/02

Abstract:

Embodiments of the present disclosure provide mechanisms for selection of a user survey data object from a set of user data objects, and processing of survey engagement data associated with a selected user survey data object. The user survey data object selected is appropriate for providing associated with a particular user data object, and the survey engagement data received associated therewith enables programmatic selection and use of particular ranking model(s) for use in generating and providing an output ranked item data object set. Example embodiments utilize selected ranking model(s) of a set of ranking models to programmatically generate and output an output ranked item data object set for a particular user profile.