Discovering and scoring relationships extracted from human generated lists
AssigneeIntertrust Technologies Corporation
InventorsKasian Franks, Mike Muldoon, Raf Podowski
Life of this patent
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Abstract
A computer-implemented system and method for extracting Human Generated Lists from an electronic database is described. The system searches for objects of the same class within a context window to identify Human Generated Lists and stores them to an archive, The archive may be used to generate a relationship network. The system generates variable length data vectors to represent the relationships between the objects within each Human Generated List. This relationship network can then be queried to discover relationships between the objects in the Human Generated Lists and to provide related objects as recommendations.
Claims9
A computer-implemented method of generating an electronic collection of human generated lists, the method comprising:
- accessing an electronic database;
- defining a first context window comprising a first portion of the electronic database;
- determining whether the first defined context window contains at least one human generated list based on analyzing whether two or more objects from a same class exist within the first defined context window;
- upon determining that the first defined context window contains at least one human generated list, storing data corresponding to the at least one human generated list in an electronic collection of human generated lists;
- and
- iteratively defining a next context window comprising a next portion of the electronic database, determining whether the next defined context window contains at least a next human generated list, and storing data corresponding to the at least next human generated list in the electronic collection of human generated lists, until a last context window has been defined and analyzed over a last portion of the electronic database,
- wherein the first context window comprises at least a portion of a document and the next context window comprises at least a next portion of the document, and wherein the first context window and the next context window are successive and comprise at least some overlapping content.
Dependencies are inferred from the claim text.