System and method for logical view analysis and visualization of user behavior in a distributed computer network
First Claim
1. A method for logical view visualization of user behavior in a networked computer environment, wherein the networked computer environment includes resources, pages and sites and the user behavior includes requesting resources, viewing pages and visiting sites, comprising the steps of:
- collecting raw data reflecting user behavior;
refining the raw data into page views and visit data for storing in a data mart;
clustering pages to define super pages and storing page to super page mappings reflecting the relationship between pages and super pages in the data mart;
applying an automated clustering means to the page view, visit and super page data in the data mart to discover clusters of visits to define super visits having visit behavior characteristics; and
scoring the visit data stored in the data mart against the super visit clusters to classify visits into super visits according to visit behavior characteristics.
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Abstract
A method for logical view visualization of user behavior in a networked computer environment that includes sites that a user may visit and wherein the sites comprise pages that the user may view and/or resources that the user may request includes the step of collecting raw data representing user behavior which can include requesting resources, viewing pages and visiting sites by the user. This raw data is then refined or pre-processed into page views and visit data and stored in a data mart. Pages are clustered into super pages, and page to super page mappings reflecting the relationship between pages and super pages are stored in the data mart. An automated clustering means is applied to the page view, visit and super page data in the data mart to discover clusters of visits to define super visits having visit behavior characteristics. The visit data stored in the data mart is then scored against the super visit clusters to classify visits into super visits according to visit behavior characteristics. A system is also provided.
163 Citations
33 Claims
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1. A method for logical view visualization of user behavior in a networked computer environment, wherein the networked computer environment includes resources, pages and sites and the user behavior includes requesting resources, viewing pages and visiting sites, comprising the steps of:
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collecting raw data reflecting user behavior; refining the raw data into page views and visit data for storing in a data mart; clustering pages to define super pages and storing page to super page mappings reflecting the relationship between pages and super pages in the data mart; applying an automated clustering means to the page view, visit and super page data in the data mart to discover clusters of visits to define super visits having visit behavior characteristics; and scoring the visit data stored in the data mart against the super visit clusters to classify visits into super visits according to visit behavior characteristics. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A system for logical view visualization of user behavior in a networked computer environment, wherein the networked computer environment includes resources, pages and sites and the user behavior includes requesting resources, viewing pages and visiting sites, comprising:
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an importer means for collecting raw data reflecting user behavior; a data mart for storing data; a preprocessing means for refining the raw data into page views and visit data for storing in a data mart; a clustering means for clustering pages to define super pages and storing page to super page mappings reflecting the relationship between pages and super pages in the data mart; an automated clustering means accepting page view, visit and super page data in the data mart for discovering clusters of visits to define super visits having visit behavior characteristics; and a scoring means for scoring the visit data stored in the data mart against the super visit clusters to classify visits into super visits according to visit behavior characteristics. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33)
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Specification