Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2004-05-17
2008-03-18
Le, Uyen (Department: 2163)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000
Reexamination Certificate
active
07346607
ABSTRACT:
A web browser plug-in supports a team approach to Internet research. An initial search, preferably by a web robot, generates an initial plurality of potentially relevant URLs, which are stored in a shared URL database. Team members are notified when new URLs are added to the database. Team members, optionally through an access control system, evaluate and rank the URLs for relevance. URLs are managed based on their rank, such as ordering their display and deleting non-relevant URLs. The rank of a URL may be indicated visually in a web browser, such as by displaying graphic icons adjacent its title. The method may be iterative, with additional searches conducted, preferably via additional web robots, with the additional URLs returned being evaluated, ranked, and managed in the URL database.
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Jacovi et al, “Why Do We Reach Out? Functions of a Semi-persistent Peer Support Tool”, ACM 2003, pp. 161-169.
Internet website: www.pluck.com, 4 pages printed from the Internet on Jun. 14, 2004.
U.S. Appl. No. 09/163,643, filed Sep. 30, 1998. “Organizing and Categorizing Hypertext Document Bookmarks by Mutual Affinity Based on Predetermined Affinity Criteria.” Bates et al.
Daniels Fonda J.
Kirkland Dustin C.
Kumhyr David B.
Coats & Bennett P.L.L.C.
Le Uyen
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