David P Weinstein

Address:

3765 Kings Way, Boca Raton, FL 33434

VIN:

19UUA8F23AA013828

Make:

ACURA

Model:

TL

Year:

2010

Address:

20790 Cabrillo Way, Boca Raton, FL 33428

VIN:

1G2AL15F477205535

Make:

PONTIAC

Model:

G5

Year:

2007

US Patent:

20200065425, Feb 27, 2020

Filed:

Aug 21, 2018

Appl. No.:

16/107769

Inventors:

- San Jose CA, US
Sudhakar Pandey - Noida, IN
Roshan Singh - Greater Noida West, IN
Ravi Prakash Singh - Noida, IN
David Meier Weinstein - Rockville Centre NY, US
Ankush Sharma - Noida, IN

Assignee:

Adobe Inc. - San Jose CA

International Classification:

G06F 17/30
H04L 29/08

Abstract:

Systems and techniques for delivery of contextual interest from interaction information are described that process user interactions with digital content to generate user interest scores for various topics. A contextual user interest system uses user interaction data to identify and contextualize content, and assigns propensity scores to the contextualized content. By dynamically contextualizing pages of content, the contextual user interest system may adapt to changes in the content and provide more accurate and robust information over time, which is not possible using conventional techniques. The contextualized pages of content are used to assign user interest scores across a number of topics to users who have visited the pages of content, and the user interest scores are normalized in a manner that allows a user's degree of interest in a topic to be compared to that of another user.

US Patent:

20180144050, May 24, 2018

Filed:

Nov 18, 2016

Appl. No.:

15/355450

Inventors:

- San Jose CA, US
David Weinstein - Rockville Centre NY, US

International Classification:

G06F 17/30
H04L 29/06

Abstract:

The disclosure describes systems and methods of limiting access to data that is commonly held, such as by a data cooperative. Certain embodiments involve providing a filter system that receives a record with user device identifiers, and uses the received record to create or modify a filter that is associated with a participant system. The filter system creates a filter key based on a device identifier from the record and assigns the filter key to the associated filter. The filter is applied to a data source including one or more stored device identifiers, and a determination is made whether the stored device identifiers are linked to the filter key. In some embodiments, determining a link is based on characteristics of the stored device identifiers, or on user indications (e.g., “opt-out” preferences), or both. The linked device identifiers are provided to the participant system.

US Patent:

20160134934, May 12, 2016

Filed:

Nov 6, 2014

Appl. No.:

14/534744

Inventors:

- San Jose CA, US
David M. Weinstein - Rockville Centre NY, US

International Classification:

H04N 21/442
H04N 21/81

Abstract:

Methods, computer readable storage media, and systems for estimating and predicting audience segment sizes are provided. An exemplary method receives a request for segment sizes for a defined audience segment, the request indicating one or more traits of visitors of network content and a time range. The method then retrieves audience data based at least in part on the one or more traits and the time range. Next, the method calculates, based at least in part on the retrieved audience data, audience segment population sizes for a plurality of durations in the time range.

US Patent:

20140089043, Mar 27, 2014

Filed:

Sep 27, 2012

Appl. No.:

13/629330

Inventors:

David M. Weinstein - Rockville Centre NY, US
Matvey Kapilevich - New York NY, US
Harleen S. Sahni - Astoria NY, US
Margarita R. Savova - Jersey City NJ, US
Nicholas M. Jordan - Brooklyn NY, US
David A. Jared - Denver CO, US

International Classification:

G06Q 30/02

US Classification:

705 729

Abstract:

Selection of a trait may be received. A complex segment rule may be created that is usable to evaluate one or more qualification events. For example, the segment rule may be usable to evaluate a combined recency and frequency of the one or more qualification events. The qualification events may be based on collected network data associated with the plurality of visitors with each qualification event corresponding to a separate qualification of visitor according to the trait. The qualification events may be evaluated together according to the segment rule. For example, the combined recency and frequency of the one or more qualification events may be evaluated according to the segment rule. Evaluating the segment rule may include estimating a segment population size in real-time.