Search

Randall J Calistri-Yeh

from Florham Park, NJ

Get Report
Related to:
Connected to:

Randall Calistri-Yeh Phones & Addresses

  • Florham Park, NJ

Us Patents

  • Advertisement Placement Method And System Using Semantic Analysis

    view source
  • US Patent:
    7912868, Mar 22, 2011
  • Filed:
    May 11, 2005
  • Appl. No.:
    11/126184
  • Inventors:
    Randall Jay Calistri-Yeh - Florham Park NJ, US
    Wen Ruan - Manlius NY, US
    Clinton P. Mah - Fairfax VA, US
    Mary Louise Howatt - Toronto, CA
    Mary E. McKenna - Natick MA, US
    Maurice J. Forrester - Syracuse NY, US
    Bo Yuan - Webster NY, US
    David L. Snyder - Pittsford NY, US
  • Assignee:
    Textwise LLC - Syracuse NY
  • International Classification:
    G06F 17/30
    G06F 17/27
  • US Classification:
    707803, 704 9
  • Abstract:
    An advertisement placement method and system for relating an advertisement to a dataset based on a trainable semantic vector (TSV) associated with the dataset and respective semantic representations of the advertisements. The trainable semantic vector associated with the dataset is generated based on at least one data point included in the dataset and known relationships between predetermined data points and predetermined categories. A comparison process is performed to determine a similarity between the trainable semantic vector associated with the dataset and the semantic representation associated with each of the plurality of advertisements. The system selectively relates one or more of the advertisements with the dataset based on a result of the comparison process. The selected advertisement or advertisements may be displayed with the dataset.

  • Personalized Recommendation System And Methods Using Automatic Identification Of User Preferences

    view source
  • US Patent:
    20160055541, Feb 25, 2016
  • Filed:
    Aug 13, 2015
  • Appl. No.:
    14/825324
  • Inventors:
    - New York NY, US
    Randall J. Calistri-Yeh - Florham Park NJ, US
  • International Classification:
    G06Q 30/02
    G06F 17/30
  • Abstract:
    A method and system are disclosed for identifying, quantifying, and acting on user preferences. The preferences are calculated from reported data, observed data, inferred data, or any combination of any or all of these sources. The preferences are then used to make various personalized recommendations to suggest that the user take certain actions such as reading an article, purchasing an item, or performing an activity. The preferences can also be used to choose among various communication choices such as message medium, format, level of detail, time of delivery, or others.
Get Report for Randall J Calistri-Yeh from Florham Park, NJ
Control profile