Patent ID: 7676464
Filing Date: 2010-03-09
Classification: G06F,Y10S

Abstract:
1. A page-ranking method, comprising: designating a portion of content stored on a hard drive of plural user workstations which are connectable to a network, such that said portion is not accessible for mining to detect references to plural pages on said network; developing a set of information categories which are relevant to said network; assigning a content relevance rank to said plural pages for said set of categories, said content relevance rank indicating a degree of relevance of a page of said relevance rank indicating a degree of relevance of a page of said plural pages in a category of said plural categories; assigning an expertise rank to plural persons associated with said plural user work stations in said categories, said expertise ranking indicating a level of expertise for a person of said plural persons with respect to a category of said plural categories; and computing a value rank for said plural pages in said plural categories, said value rank indicating a level of value for a page of said plural pages with respect to a category of said plural categories, said computing said value rank comprising: wherein if a reference to a page is detected in an e-mail, then said value rank of said page is adjusted based on the expertise rank of the sender and a recipient of said page, and the relevance rank of the page, and if a reference to a page is detected in a message passed through an instance messaging facility, then said value rank of said page is adjusted based on an expertise rank of a sender of said message, an expertise rank of a recipient of said message, and the relevance rank of the page wherein said mined portion of content comprises a file that is textually minable and is one of residing on and attached to a user workstation, wherein said network comprises an intranet, and mining said portion of said content is performed as part of a back-up process for said intranet, wherein said mining comprises using at least one of scanning code and crawling code to detect said references, wherein said assigning said expertise rank comprises assigning a weight to a user workstation based on references detected in said mined portion of content, and based on a time at which high quality pages are stored on said user workstation, wherein said mined portion of content comprises browser bookmarks, e-mails, instant messages and unstructured text files, and wherein said mining said portion of said content, and ranking said pages are performed routinely and periodically.