Patents by Inventor Amanda Dee Bottorff

Amanda Dee Bottorff has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10796094
    Abstract: An unsupervised keyword extraction process is disclosed. A single input document can be analyzed to identify multiple candidate keywords by utilizing splitting terms. A keyword score is calculated for each of the candidate keywords. The keyword score for a particular candidate keyword is determined based on the length of the candidate keywords that contain the candidate keyword and the frequency of the words appearing in the candidate keywords. One or more keywords having the highest keyword scores are selected as the extracted keywords. The extracted keywords can be used in applications, such as refining search results, providing suggested search terms, or improving the match rate of a network page at a search engine.
    Type: Grant
    Filed: August 7, 2019
    Date of Patent: October 6, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Weiwei Cheng, Amanda Dee Bottorff, Sandeep Ranganathan
  • Patent number: 10546027
    Abstract: Disclosed are various embodiments for performing data search queries for descriptive semantics extracted from item reviews. Search queries that resulted in a selection of a browse node of an item taxonomy are identified and various items associated with the browse node are determined. Customer reviews for the various items are used to phrases used in the customer reviews that also appear in the search queries. The phrases may be ranked based at least in part on a polarity metric that describes a subjectivity, sentiment, and/or coverage of the phrase. Phrases with a rank exceeding a predefined threshold may be made available for use by a search component of a network site.
    Type: Grant
    Filed: June 9, 2015
    Date of Patent: January 28, 2020
    Assignee: Amazon Technologies, Inc.
    Inventors: Gabriel Parent, Debprakash Patnaik, Amanda Dee Bottorff, Matthew McDonald Furlong
  • Patent number: 10387568
    Abstract: An unsupervised keyword extraction process is disclosed. A single input document can be analyzed to identify multiple candidate keywords by utilizing splitting terms. A keyword score is calculated for each of the candidate keywords. The keyword score for a particular candidate keyword is determined based on the length of the candidate keywords that contain the candidate keyword and the frequency of the words appearing in the candidate keywords. One or more keywords having the highest keyword scores are selected as the extracted keywords. The extracted keywords can be used in applications, such as refining search results, providing suggested search terms, or improving the match rate of a network page at a search engine.
    Type: Grant
    Filed: September 19, 2016
    Date of Patent: August 20, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Weiwei Cheng, Amanda Dee Bottorff, Sandeep Ranganathan