David S Kaufer

US Patent:

20130185657, Jul 18, 2013

Filed:

Sep 23, 2011

Appl. No.:

13/825741

Inventors:

Ananda Gunawardena - Pittsburgh PA, US
David Kaufer - Pittsburgh PA, US
Alexander R. W. Cheek - Doha, QA
Joanna Wolfe - Louisville KY, US

Assignee:

UNIVERSITY OF LOUISVILLE RESEARCH FOUNDATION, INC. - Lousville KY
CARNEGIE MELLON UNIVERSITY - Pittsburgh PA

International Classification:

G06F 17/24

US Classification:

715753

Abstract:

Methods of facilitating the discovery of relationships between/among participants within systems for annotating visual media objects to create new associations, communities, and other relationships. These methods include processing annotations, metadata, and/or other information using one or more aggregate-behavior-visualization algorithms and displaying aggregate-behavior visualizations to users. These visualizations allow users to seek out and discover relationships and provide unique knowledge assets useful for a variety of purposes, including creating smart documents and fostering learning.

US Patent:

20020013692, Jan 31, 2002

Filed:

Jul 16, 2001

Appl. No.:

09/907151

Inventors:

Ravinder Chandhok - Wanesburg PA, US
Dale Wiggins - Pittsburgh PA, US
David Kaufer - Pittsburgh PA, US
Geoffrey Wenger - Pittsburgh PA, US

International Classification:

G06F017/20

US Classification:

704/001000, 707/532000

Abstract:

An electronic mail system identifies e-mail that conforms to a language type. A scoring engine compares electronic text to a language model. A user interface assigns a language indicator to an e-mail item based upon a score provided by the scoring engine.

US Patent:

20150332599, Nov 19, 2015

Filed:

May 19, 2015

Appl. No.:

14/715697

Inventors:

- Princeton NJ, US
David Kaufer - Pittsburgh PA, US
Paul L. Yeoh - Omaha NE, US

International Classification:

G09B 7/02

Abstract:

Systems and methods are provided for determining whether an examination prompt elicits responses of a type for which the examination prompt is designed. Word types for each of a plurality of words in a plurality of responses to the examination prompt are identified. An evaluation distribution of the identified word types is determined. Predetermined distributions stored on a computer-readable medium associated with a plurality of different response types are accessed, and the evaluation distribution is compared to each of the predetermined distributions to determine which predetermined distribution the evaluation distribution is most similar. A determination is made as to whether the most similar distribution is associated with a same response type as the type for which the examination prompt is designed. An indication is made as to whether the examination prompt is deemed to elicit responses of the type for which the examination prompt is designed.