Patents Assigned to Quiver, Inc.
  • Patent number: 8931861
    Abstract: In some example implementations, a drawer slide assembly may including an elongate member including a first slot extending through an upper region and a second slot. The drawer slide assembly may further include a first end cap coupled to the first end region of the elongate member, in which the first end cap has a first projection that extends at least in part through the first opening. The drawer slide assembly may also include a second end cap coupled to the second end region of the elongate member, in which the second end cap has a second projection that extends at least in part through the second opening.
    Type: Grant
    Filed: May 24, 2013
    Date of Patent: January 13, 2015
    Assignee: Fin Quiver, Inc.
    Inventors: Fred Koelling, Venugopal Subramanyam
  • Publication number: 20130313954
    Abstract: In some example implementations, there is provided a drawer slide assembly. The drawer slide assembly may including an elongate member including a first slot extending through an upper region and a second slot. The drawer slide assembly may further include a first end cap coupled to the first end region of the elongate member, wherein the first end cap has a first projection that extends at least in part through the first opening; and a second end cap coupled to the second end region of the elongate member, wherein the second end cap has a second projection that extends at least in part through the second opening.
    Type: Application
    Filed: May 24, 2013
    Publication date: November 28, 2013
    Applicant: Fin Quiver, Inc.
    Inventors: Fred Koelling, Venugopal Subramanyam
  • Publication number: 20030130993
    Abstract: Automatic classification is applied in two stages: classification and ranking. In the first stage, a categorization engine classifies incoming documents to topics. A document may be classified to a single topic or multiple topics or no topics. For each topic, a raw score is generated for a document and that raw score is used to determine whether the document should be at least preliminarily classified to the topic. In the second stage, for each document assigned to a topic (i.e., for each document-topic association) the categorization engine generates confidence scores expressing how confident the algorithm is in this assignment. The confidence score of the assigned document is compared to the topic's (configurable) threshold. If the confidence score is higher than this configurable threshold, the document is placed in the topic's Published list. If not, the document is placed in the topic's Proposed list, where it awaits approval by a knowledge management expert.
    Type: Application
    Filed: August 8, 2002
    Publication date: July 10, 2003
    Applicant: Quiver, Inc.
    Inventors: Ofer Mendelevitch, Andrew Feit, Christina Kindwall, Benjy Weinberger, Wendy Wilson