PERSONALIZATION ENGINE FOR CHARACTERIZING A DOCUMENT

• US 20150213014A1
• Filed: 04/07/2015
• Published: 07/30/2015
• Est. Priority Date: 06/27/2008
• Status: Active Grant

• Current Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Original Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Inventors: Pradhan, Tushar, Osborne, Thomas, Potter, John
• Granted Patent: US 9,501,476 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/353 into predefined classes
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

A dynamic classification dictionary is built for use in profiling and targeting users for additional relevant content. Behavioral data is gathered from user activity, and user documents and actions are categorized. Author-generated document classification information is analyzed and assigned a first taxonomic noun to characterize the document. User-generated tags characterizing a portion of the document are assigned a second taxonomic noun. Search terms that resulted in the user accessing the document are identified and assigned a third taxonomic noun. Attributes related to the manner in which the document was accessed are evaluated and assigned a fourth taxonomic noun. The document is processed using pattern rules to extract a fifth taxonomic noun. The taxonomic nouns are aggregated into a composite set of taxonomic nouns, and the dynamic classification dictionary is build by storing the composite set of taxonomic nouns.

Claims

1. A computer-implemented method executed by one or more computing devices for characterizing a document, the method comprising:

determining, by at least one of the one or more computing devices, a composite set of taxonomic nouns that represent a document, by a method comprising;

preparing one or more of a set of first taxonomic nouns, a set of second taxonomic nouns, a set of third taxonomic nouns, and a set of fourth taxonomic nouns by;

analyzing, by at least one of the one or more computing devices, author-generated classification information regarding a document and assigning the set of first taxonomic nouns to characterize the document based upon the author-generated classification information;

examining, by at least one of the one or more computing devices, a user-generated tag from a client computer characterizing a portion of the document and assigning the set of second taxonomic nouns to characterize the document based upon the user-generated tag characterization;

identifying, by at least one of the one or more computing devices, a method of access through which the document has been accessed from a content provider and assigning the set of third taxonomic nouns to characterize the document based upon the search term; and

evaluating, by at least one of the one or more computing devices, attributes related to the method of access and assigning the set of fourth taxonomic nouns to characterize the document based upon the attributes related to the method of access;

preparing, by at least one of the one or more computing devices, a set of fifth taxonomic nouns by processing the document based upon a predetermined pattern rule; and

aggregating, by at least one of the one or more computing devices, at least one of the one or more prepared sets of taxonomic nouns with the set of fifth taxonomic nouns into the composite set of taxonomic nouns; and

characterizing, by at least one of the one or more computing devices, the document based on the composite set of taxonomic nouns.

2. An apparatus for characterizing a document, the apparatus comprising:

one or more processors; and

one or more memories operatively coupled to at least one of the one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to;

determine a composite set of taxonomic nouns that represent a document, by a method comprising;

preparing one or more of a set of first taxonomic nouns, a set of second taxonomic nouns, a set of third taxonomic nouns, and a set of fourth taxonomic nouns by;

analyzing author-generated classification information regarding a document and assigning the set of first taxonomic nouns to characterize the document based upon the author-generated classification information;

examining a user-generated tag from a client computer characterizing a portion of the document and assigning the set of second taxonomic nouns to characterize the document based upon the user-generated tag characterization;

identifying a method of access through which the document has been accessed from a content provider and assigning the set of third taxonomic nouns to characterize the document based upon the search term; and

evaluating attributes related to the method of access and assigning the set of fourth taxonomic nouns to characterize the document based upon the attributes related to the method of access;

preparing a set of fifth taxonomic nouns by processing the document based upon a predetermined pattern rule; and

aggregating at least one of the one or more prepared sets of taxonomic nouns with the set of fifth taxonomic nouns into the composite set of taxonomic nouns; and

characterize the document based on the composite set of taxonomic nouns.

3. At least one non-transitory computer-readable medium storing computer-readable instructions that, when executed by one or more computing devices, cause at least one of the one or more computing devices to:

determine a composite set of taxonomic nouns that represent a document, by a method comprising;

preparing one or more of a set of first taxonomic nouns, a set of second taxonomic nouns, a set of third taxonomic nouns, and a set of fourth taxonomic nouns by;

analyzing author-generated classification information regarding a document and assigning the set of first taxonomic nouns to characterize the document based upon the author-generated classification information;

examining a user-generated tag from a client computer characterizing a portion of the document and assigning the set of second taxonomic nouns to characterize the document based upon the user-generated tag characterization;

identifying a method of access through which the document has been accessed from a content provider and assigning the set of third taxonomic nouns to characterize the document based upon the search term; and

evaluating attributes related to the method of access and assigning the set of fourth taxonomic nouns to characterize the document based upon the attributes related to the method of access;

preparing a set of fifth taxonomic nouns by processing the document based upon a predetermined pattern rule; and

aggregating at least one of the one or more prepared sets of taxonomic nouns with the set of fifth taxonomic nouns into the composite set of taxonomic nouns; and

characterize the document based on the composite set of taxonomic nouns.