US2010211463A1PendingUtilityA1

Targeted e-commerce system

Assignee: YAHOO INCPriority: Aug 1, 2000Filed: Mar 12, 2010Published: Aug 19, 2010
Est. expiryAug 1, 2020(expired)· nominal 20-yr term from priority
G06Q 30/02G06Q 30/0254G06Q 30/0251G06Q 30/0625G06Q 30/0256G06Q 30/0601
52
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Claims

Abstract

A system for displaying products for purchase on any document displayed on any computer device, comprising conducting a statistical frequency analysis of the word occurrence in the document to determine the primary subject matter of the document and/or keywords in the document, selecting products which are relevant to the subject matter and keywords of the document, either by manual selection or by automatic selection. Automatic selection is accomplished by conducting a statistical frequency analysis of the word occurrence in the product descriptions to determine the keywords in the product descriptions and matching the keywords from the document with the keywords from the product descriptions.

Claims

exact text as granted — not AI-modified
1 . An electronic method of including additional content to a web document, the method comprising:
 electronically determining content of the web document; and   selecting advertising content associated with the detected content.   
     
     
         2 . The method of  claim 1  further comprising:
 selecting at least one of the advertising content associated with the detected content; and   generating the web document to include the at least one advertising content therewith.   
     
     
         3 . The method of  claim 1 , wherein electronically determining content of the web document includes analyzing the web document to detect a context for the web document. 
     
     
         4 . The method of  claim 3 , wherein detecting the context includes using a statistical analysis of the web document. 
     
     
         5 . The method of  claim 3 , wherein the web document is a web page. 
     
     
         6 . The method of  claim 1 , wherein selecting the advertising content includes selecting at least one file representing at least one product related to the determined content. 
     
     
         7 . The method of  claim 1 , wherein the content of the web document is determined based on a plurality of keywords. 
     
     
         8 . The method of  claim 7 , wherein the keywords are preselected. 
     
     
         9 . The method of  claim 7 , wherein determining the content of the web document includes tagging the web document with the keywords. 
     
     
         10 . The method of  claim 9 , wherein the tagging of keywords is done manually. 
     
     
         11 . The method of  claim 9 , wherein the tagging of keywords is done performed using an automated tagging process. 
     
     
         12 . The method of  claim 7  wherein selecting the advertising content includes selecting at least one file representing at least one product related to the determined content, the method further comprising:
 accessing a product database using at least one of the keywords.   
     
     
         13 . The method of  claim 7  wherein the content of the web document is determined based on a keyword cluster, where a keyword cluster includes two or more keywords grouped together. 
     
     
         14 . The method of  claim 1  further comprising:
 determining a limit on the number of advertising content usable with the detect content of the web document.   
     
     
         15 . The method of  claim 14  further comprising:
 determining the limit based on at least one of: date of a product listing; a product sale status; and a product price.   
     
     
         16 . The method of  claim 14  further comprising:
 determining the limit based on a keyword weighting.   
     
     
         17 . The method of  claim 1 , wherein the content of the web document is determined based on a plurality of keywords, the plurality of keywords being from a keyword list, the keyword list generated based on word frequency analysis, stopword removal and manual selection using empirical testing. 
     
     
         18 . The method of  claim 17  further comprising:
 tuning the keyword list based on the use of a plurality of synonyms.   
     
     
         19 . The method of  claim 1 , wherein the advertising content includes an active link in the form of a uniform resource locator to a product. 
     
     
         20 . The method of  claim 1 , wherein the content of the web document includes the context of a web document.

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