Sameer R Rajyaguru

age ~45

from Kenmore, WA

Sameer Rajyaguru Phones & Addresses

  • 9017 NE 160Th Pl, Kenmore, WA 98028
  • Bothell, WA
  • Raleigh, NC
  • Bellevue, WA
  • Seattle, WA
  • Morrisville, NC
  • Jersey City, NJ
  • North Arlington, NJ
  • Kiona, WA

Us Patents

  • System For Enabling Electronic Catalog Users To Create And Share Research Data

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  • US Patent:
    8401924, Mar 19, 2013
  • Filed:
    Nov 19, 2010
  • Appl. No.:
    12/950803
  • Inventors:
    Sameer R. Rajyaguru - Bellevue WA, US
    Terrence R. Nightingale - Marysville WA, US
    Marvin M. Theimer - Bellevue WA, US
  • Assignee:
    Amazon Technologies, Inc. - Reno NV
  • International Classification:
    G06Q 30/00
  • US Classification:
    705 2661, 705 261
  • Abstract:
    Comparative decision systems and methods are disclosed for gathering and mining data representative of purchase decisions. One disclosed comparative decision system detects when a user is comparing items and provides the user with the ability to create a research note storing comparative information for the alternative items. The system displays information about items according to a variety of factors. The user can customize the factors and enter information for each alternative item according to the various factors. Some information may be pre-populated by the system. The research note may be made visible to other users, and may be suggested to another user based on the note's expected helpfulness and relevance to that user. One disclosed method for mining data stored within research notes identifies which factors are given higher relative priorities by users considering a purchase. Another mining method analyzes the effects of price changes on item popularity.
  • Method For Exposing Research Note Data Based Upon User Activity Data

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  • US Patent:
    8533052, Sep 10, 2013
  • Filed:
    Nov 19, 2010
  • Appl. No.:
    12/950861
  • Inventors:
    Sameer R. Rajyaguru - Bellevue WA, US
    Terrence R. Nightingale - Marysville WA, US
    Marvin M. Theimer - Bellevue WA, US
  • Assignee:
    Amazon Technologies, Inc. - Reno NV
  • International Classification:
    G06Q 30/00
  • US Classification:
    705 261, 705 271
  • Abstract:
    Comparative decision systems and methods are disclosed for gathering and mining data representative of purchase decisions. One disclosed comparative decision system detects when a user is comparing items and provides the user with the ability to create a research note storing comparative information for the alternative items. The system displays information about items according to a variety of factors. The user can customize the factors and enter information for each alternative item according to the various factors. Some information may be pre-populated by the system. The research note may be made visible to other users, and may be suggested to another user based on the note's expected helpfulness and relevance to that user. One disclosed method for mining data stored within research notes identifies which factors are given higher relative priorities by users considering a purchase. Another mining method analyzes the effects of price changes on item popularity.
  • Assessing Users Who Provide Content

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  • US Patent:
    8195522, Jun 5, 2012
  • Filed:
    Jun 30, 2008
  • Appl. No.:
    12/165490
  • Inventors:
    Samuel S. Sonne - Seattle WA, US
    Pranav Dandekar - Seattle WA, US
    James G. Robinson - Olympia WA, US
    Anne R. Marshall - Seattle WA, US
    Sameer R. Rajyaguru - Bellevue WA, US
  • Assignee:
    Amazon Technologies, Inc. - Reno NV
  • International Classification:
    G06Q 30/00
  • US Classification:
    705 262
  • Abstract:
    Techniques are described for assessing users who provide content, such as based on the provided content and/or on aspects of how/when the content is provided. In at least some situations, the users being assessed are author users who create some or all of the content that they provide, while in other situations users may provide other types of content (e. g. , content that is identified and/or selected by the users, but not created by the users). Assessment of the content-providing users may be performed in various manners, such as to generate one or more user contribution scores or other user contribution ratings for some or all such users, such as to reflect a combination of multiple factors (e. g. , a quantity of pieces of content provided by a user, a recency of providing some or all of the content pieces, an assessed quality of the provided content pieces, etc. ).

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