The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 27, 2010
Filed:
Oct. 27, 1999
Paul Kaib, Dunwoody, GA (US);
Gregg Freishtat, Atlanta, GA (US);
Paul Kaib, Dunwoody, GA (US);
Gregg Freishtat, Atlanta, GA (US);
VerticalOne Corporation, Atlanta, GA (US);
Abstract
This invention is a system and method for a system and method for scheduling the harvesting of information associated with one or more end users from one or more information providers. A host computer, including a processor, is in communication with a user data store for storing data associated with users and an information provider store for storing data associated with information providers. For each end user, a profile of past access times, login times, is maintained in the user data store. For each information provider, a profile of update times and criteria are maintained in the information provider store. For a selected information provider, the host computer processor determines an update time for information stored by the selected information provider and a set of end users whose information could be modified by an update at that update time. The host computer processor generates a predicted login time for each end user in the determined set of end users and each generated login time back a predetermined time interval. The host computer processor sorts the determined set of end users according to the predicted login time or shifted login time and assigns a harvesting time for each end user based on each end user's shifted or predicted login time.