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Pre-Grant Publication Number: 20070282832
Automatic tracking of user data and reputation checking
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LATEST PRIOR ART
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DateTitleReviewer
 
02/27/08A Brief Introduction to IconChad Zhong
 
02/27/08An efficient Web traversal pattern mining algorithm based on suffix arrayChad Zhong
 
02/04/08IEPAD: Information Extraction based on Pattern DiscoveryJeff Morrill
 
02/03/08System and Method of searching user information based on prior user actionsAbhijit Telang
 
DISCUSSION
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Chad Zhong (4 months ago)
Hello all, I have just submitted two potential prior arts thats associated with the current patent application. I will try to submit more within the next couple of weeks so that everyone can get an opportunity to take a look at them, give comments, and annotate them. If you can please review the prior art submitted in this applicaiton and give me your annotations and feedbacks that would be excellent. If you know someone else that are interested to join this peer review process, by all means, ask them to join. Again, if you have any questions or comments or concerns, please let me know. Thank you.
Karen Hofmann (5 months ago)
Illustration #5 Uniqueness: String checking for personal data is not unique. AOL has a very similar feature that can be turned on using the AOL portal that when personal data is sent via web, back-end process, or e-mail to any site external to the PC, that the user is notified to where the data is being sent and which data is being sent. The user can configure within the AOL administration screens, which credit card and other personal data to verify recipient before sending. The check is done only on the user's client, before submitting data to the server. To make ensure uniqueness, you may want to emphasize a server-side component.
Abhijit Telang (6 months ago)
The concept of keystroke monitoring is not novel atall and there have been a number of patents/research papers about monitoring user actions. For instance, US20070033166A1-System and method of searching for information based on prior user actions talks about tracking and maintaining a chronological list of user actions including the websites visited, transactions performed, even clicking on menu options and so on.. In the same context there is also a paper published by Microsoft in around 2002,titled " Desktop history tool : Time based interaction summaries to restore context" Again, the complex algorithmic processing requirements to decipher the data such as credit cards, social security number, debit card number is not furnished. deciphering needs would be particularly challenging in multi user environments.
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