Invention Grant
- Patent Title: Systems and methods for identifying documents based on citation history
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Application No.: US14922585Application Date: 2015-10-26
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Publication No.: US10372717B2Publication Date: 2019-08-06
- Inventor: Paul Zhang , Harry R. Silver
- Applicant: LexisNexis, a division of Reed Elsevier Inc.
- Applicant Address: US OH Miamisburg
- Assignee: LexisNexis, a division of Reed Elsevier Inc.
- Current Assignee: LexisNexis, a division of Reed Elsevier Inc.
- Current Assignee Address: US OH Miamisburg
- Agency: Dinsmore & Shohl, LLP
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F16/2457 ; G06F16/93 ; G06F16/9535

Abstract:
Systems, methods, and computer-executable instructions for identifying a document are described. A method includes receiving a query from a graphical user interface having one or more concepts, normalizing a set of terms or concepts in the query to create a normalized query, comparing the normalized query to a set of document centric concept profiles associated with a set of documents in a corpus, where each document centric concept includes a plurality of concepts and at least one reference value for each concept, where the reference value is calculated by tabulating the number of times a document associated with one of the document centric concept profiles is cited by a citing instance for the concept, and surfacing a document from the corpus with the highest reference value for the concept.
Public/Granted literature
- US20160098407A1 Systems and Methods for Identifying Documents Based on Citation History Public/Granted day:2016-04-07
Information query