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| Smart configurator |
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System and method for providing customized web pages
| Details |
Inventors: Cohen, Tal; Harel, Nissim;
Assignee: ClickFox, LLC (Atlanta, GA)
Primary Examiner: Sax; Steven P.
Assistant Examiner:
Attorney, Agent or Firm: Troutman Sanders LLP Schutz; James E.
An invention for customizing a web site by gathering information from a web site visitor's sessions while the user is using the web site. The visitor's session information is compared with expected visitor behavior, based on the present structure of the web site. Using pre-programmed basic comparison rules and computer based mathematical models, matrices are used to represent statistical information about the visitor's sessions on the web site. The statistical information is used to extract visitor behavior which was unexpected (anomalies). Anomalies are grouped into recommendations. These recommendations are used to automatically customize the web site. In the alternative, information is provided to the web site administrator to customize the web site to be more efficient and visitor friendly, maximizing the operation of the Web site and promoting more frequent visits. |
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DETAILED DESCRIPTION The present invention overcomes the above described void in the prior art by utilizing a method, device, and algorithm to track and bundle the user interactions with the web site structure via a set of matrices.
Initially, the web site itself is analyzed for its present structure.
Analyzing the web site results in a list of pages that are included in the web site and how the pages are connected to each other (the pages inter-relationship).
The invention uses a web-robot class program to record this information (one example for a web-robot program is the Acme-Spider, available at: http://www.
acme.
com/java/software/Acme.
Spider.
html).
A web-robot traverses the web starting at a given Uniform Resoure Locator (network addresses).
It fetches hypertext markup language (HTML) files and parses them for new network addresses to look at.
All files it encounters, HTML or otherwise, are returned and may be recorded.
User sessions are used to model user interactions with the web site.
User sessions are usually defined collectively by Identity (who is accessing the site), Location (which pages each user accessed, and in what order), and Time (when did the access occur).
In other words, a user session can be defined roughly as a series of continuous accesses to the site done by the same user.
To determine what constitutes a series of continuous accesses to the site, an approximation method (an Internet web-robot program) is used to track and approximate the user sessions.
Subsequently, all the user sessions are analyzed according to web-specific parameters.
These web-specific parameters include: distance, step, and class.
This analysis, along with a set of basic rules, and the structure of the web site, are used in forming a series of matrices and structures to represent the statistical information.
The statistical information is represented such that inefficiencies in the Internet web site (web site) may be determined and eliminated manually or automatically.
Two such inefficiencies, also known as anomalies, are objects of interest not having direct connections which should have a direct connection, and objects which do not need a direct connection that have a direct connection
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