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Title: Method and system to discover and recommend interesting documents

Disclosed are several examples of systems that can read millions of news feeds per day about topics (e.g., your customers, competitors, markets, and partners), and provide a small set of the most relevant items to read to keep current with the overwhelming amount of information currently available. Topics of interest can be chosen by the user of the system for use as seeds. The seeds can be vectorized and compared with the target documents to determine their similarity. The similarities can be sorted from highest to lowest so that the most similar seed and target documents are at the top of the list. This output can be produced in XML format so that an RSS Reader can format the XML. This allows for easy Internet access to these recommendations.
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Issue Date:
OSTI Identifier:
UT-Battelle LLC (Oak Ridge, TN) ORNL
Patent Number(s):
Application Number:
Contract Number:
Resource Relation:
Patent File Date: 2013 Jan 09
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
Country of Publication:
United States

Other works cited in this record:

Retrieval system and method
patent, September 1999

Methods and apparatus for similarity text search based on conceptual indexing
patent, April 2003

Method and apparatus for measuring similarity among electronic documents
patent, January 2006

Ontology-based information management system and method
patent, May 2007

Method for gathering and summarizing internet information
patent, April 2010

Agent-based method for distributed clustering of textual information
patent, September 2010

Latent semantic clustering
patent, November 2010

Dynamic reduction of dimensions of a document vector in a document search and retrieval system
patent, May 2011

Systems and methods for identifying similar documents
patent, June 2011

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