Steven W Martin

Address:

801 Indiana St UNIT 162, San Francisco, CA 94107

Phone:

(540)7222684

VIN:

1D7HU18PX7J606138

Make:

DODGE

Model:

RAM PICKUP 1500

Year:

2007

US Patent:

6496206, Dec 17, 2002

Filed:

Jun 29, 1998

Appl. No.:

09/106154

Inventors:

Paul A. Mernyk - Palo Alto CA
Steven Martin - Topsfield MA
Bevra S. Prasad - Milpitas CA
David L. Salgado - Victor NY

Assignee:

Scansoft, Inc. - Peabody MA

International Classification:

G06F 300

US Classification:

345835, 345764

Abstract:

In a graphical user interface for accessing a large number of files, such as text files, graphics files, or spreadsheets, a system allows quick glances of âthumbnailsâ or highly reduced versions of the files. When a folder is opened, every file in the folder is opened as a background operation and thumbnail data, such as a reduced image or text summary of the file, is derived and retained in a cache folder for quick access. When a cursor is touched, without a mouse-click, to a particular icon in the opened folder, the thumbnail for the file identified by the icon is accessed from the cache folder and displayed.

US Patent:

20210311999, Oct 7, 2021

Filed:

Mar 29, 2021

Appl. No.:

17/216511

Inventors:

- San Francisco CA, US
Derek Macklin - San Francisco CA, US
Ramkrishna Soma - San Francisco CA, US
Eric Carlson - San Francisco CA, US
Steven Martin - San Francisco CA, US

Assignee:

Grand Rounds, Inc. - San Francisco CA

International Classification:

G06F 16/9532
G06F 16/9537
G06F 16/9538
G06F 16/9032
G06N 20/00

Abstract:

Methods, systems, and computer-readable media for updating a machine learning model utilized in a search engine operation. The method identifies a set of search queries in stored search queries corresponding to a service and apply the identified set of search queries to the search engine to generate one or more search results for the service. Each search result has an assigned aggregate based on values of a set of parameters associated with the service. The method then analyzes the values of the set of parameters to determine a tradeoff point of each parameter to determine one or more weights to apply to the machine learning model based on the tradeoff points. The method stores the determined one or more weights and applies them to the machine learning model for a search query corresponding to the service.