Sang H Song

US Patent:

6716487, Apr 6, 2004

Filed:

Oct 20, 1999

Appl. No.:

09/422025

Inventors:

Sang G. Song - Downey CA 90242

International Classification:

H05H 100

US Classification:

427535, 427127, 427143, 427146, 427551, 427558, 427598, 428343

Abstract:

An article of manufacture for the construction of environmentally compatible stickers which are decorated using inkjet printing methods comprising a polymer plastisol biodegradable rubber resin as its primary ingredient to form one layer from bonding multiple layers. This removable/reusable sticker can even be used for preventing slippery in bathtub. And it is environmental friendly because of its biodegradable character when discarded. The inkjet printing method application is also effective in reducing number of manufacturing steps or processing stages to create vibrant custom inkjet produced images all at a relatively low cost.

US Patent:

20130151443, Jun 13, 2013

Filed:

Oct 3, 2012

Appl. No.:

13/573727

Inventors:

AOL Inc. - Dulles VA, US
Sang Chul Song - Aldie VA, US
Vineet Mahajan - Ashburn VA, US
Elena Haliczer - New York NY, US

Assignee:

AOL Inc. - Dulles VA

International Classification:

G06N 99/00

US Classification:

706 12

Abstract:

Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.

US Patent:

20210365300, Nov 25, 2021

Filed:

Nov 21, 2018

Appl. No.:

16/198133

Inventors:

Thu R. KYAW - Reston VA, US
Jonathan JI - Aldie VA, US
Saad MUFTI - Fairfax VA, US
Sudhir ACHUTHAN - Vienna VA, US
Sang Chul SONG - Aldie VA, US

International Classification:

G06F 9/50
G06F 17/30

Abstract:

Methods, systems, and computer-readable media are disclosed for dynamic partitioning in distributed computing environments. One method includes: receiving a first data set and a second data set; mapping the first data set into a first set of key-value pairs; mapping the second data set into a second set of key-value pairs; estimating, using a sketch, a frequency count for each key based on the first set of key-value pairs and the second set of key-value pairs; determining whether the estimated frequency count for each key is greater than or equal to a predetermined threshold; and partitioning the key when the estimated frequency count for the key is greater than or equal to the predetermined threshold.

US Patent:

20140164401, Jun 12, 2014

Filed:

Dec 10, 2012

Appl. No.:

13/710293

Inventors:

Thu KYAW - Reston VA, US
Sang Chul SONG - Aldie VA, US
Sean Christopher TIMM - Herndon VA, US
Sudhir ACHUTHAN - Vienna VA, US
Mikhail BARRETT - Fairfax VA, US
Vineet MAHAJAN - Ashburn VA, US

International Classification:

G06F 17/30

US Classification:

707751

Abstract:

Computer-implemented systems and methods are provided for presenting content recommendations. In one implementation, a method is provided for providing content recommendations to a plurality of users. The method may include generating a first plurality of content recommendations for a first user using a first plurality of methods, each of the first plurality of methods having a weight associated therewith. The method may further include selecting a second plurality of content recommendations from the first plurality of content recommendations based on the weights associated with the first plurality of methods. The method may further include providing the second plurality of content recommendations to the first user. The method may further include updating the weights associated with the first plurality of methods based on engagement by the first user with the second plurality of content recommendations.