Use of web usage trail data to identify relationships between browsable items
First Claim
1. A computer system, comprising:
- a usage trail data accumulator configured to collect usage trail data descriptive of usage trails of a plurality of users, said usage trail data identifying sequences of network resources accessed by corresponding users during network browsing sessions of such users; and
a metadata generator configured to analyze the usage trail data collected by the usage trail data accumulator and to generate scores that represent degrees of relationship between specific network resources, said scores being normalized values falling within a bounded range, and being dependent upon the usage trails of the plurality of users.
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Abstract
Related web locations are identified from the web usage trails of a population of users. Each usage trail is preferably in the general form of a sequence of URLs accessed by a user during a browsing session. The usage trails are preferably collected using a special client application that operates in conjunction with a web browser and reports the navigation activities of users. In a preferred embodiment, the relatedness of two web locations A and B is determined using a minimum sensitivity calculation that takes into consideration the number of transitions that occurred between A and B relative to the total number of transitions that involved A and/or B. The method may be used independently, or may be used in combination with other methods for identifying related web locations.
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Citations
25 Claims
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1. A computer system, comprising:
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a usage trail data accumulator configured to collect usage trail data descriptive of usage trails of a plurality of users, said usage trail data identifying sequences of network resources accessed by corresponding users during network browsing sessions of such users; and a metadata generator configured to analyze the usage trail data collected by the usage trail data accumulator and to generate scores that represent degrees of relationship between specific network resources, said scores being normalized values falling within a bounded range, and being dependent upon the usage trails of the plurality of users. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A computer-implemented data mining method, comprising:
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storing usage trail data descriptive of usage trails of a plurality of users, each usage trail identifying a sequence of network resources accessed by a corresponding user during a browsing session; and programmatically generating a score that represents a degree to which a first network resource and a second network resource are related to each other, said score falling within a predefined, bounded range, and being dependent upon a total number of transitions in said usage trails between the first network resource and the second network resource as determined from the usage trail data, whereby the score reflects browsing behaviors of users. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25)
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Specification