US20040015580A1 - System and method for generating and reporting cookie values at a client node - Google Patents

System and method for generating and reporting cookie values at a client node Download PDF

Info

Publication number
US20040015580A1
US20040015580A1 US10053541 US5354101A US2004015580A1 US 20040015580 A1 US20040015580 A1 US 20040015580A1 US 10053541 US10053541 US 10053541 US 5354101 A US5354101 A US 5354101A US 2004015580 A1 US2004015580 A1 US 2004015580A1
Authority
US
Grant status
Application
Patent type
Prior art keywords
cookie
web
web page
client node
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US10053541
Inventor
Victor Lu
Xavier Hericy
Elijahu Shapira
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WEB TRENDS Corp
Oracle America Inc
Original Assignee
WEB TRENDS Corp
NetIQ Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/34Network-specific arrangements or communication protocols supporting networked applications involving the movement of software or configuration parameters
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • G06F11/34Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466Performance evaluation by tracing or monitoring
    • G06F11/3495Performance evaluation by tracing or monitoring for systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor ; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L29/00Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/00 - H04L27/00 contains provisionally no documents
    • H04L29/02Communication control; Communication processing contains provisionally no documents
    • H04L29/06Communication control; Communication processing contains provisionally no documents characterised by a protocol
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/02Network-specific arrangements or communication protocols supporting networked applications involving the use of web-based technology, e.g. hyper text transfer protocol [HTTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/22Tracking the activity of the user
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2201/00Indexing scheme relating to error detection, to error correction, and to monitoring
    • G06F2201/875Monitoring of systems including the internet
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L29/00Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/00 - H04L27/00 contains provisionally no documents
    • H04L29/02Communication control; Communication processing contains provisionally no documents
    • H04L29/06Communication control; Communication processing contains provisionally no documents characterised by a protocol
    • H04L29/0602Protocols characterised by their application
    • H04L29/06047Protocols for client-server architecture
    • H04L2029/06054Access to distributed or replicated servers, e.g. using brokers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • H04L67/1002Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers, e.g. load balancing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/10Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network
    • H04L67/1002Network-specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers, e.g. load balancing
    • H04L67/1027Persistence of sessions during load balancing

Abstract

A method and apparatus for tracking and reporting traffic activity on a web site whereby cookie data is compiled at the visitor computer using cookie processing script embedded within the web page downloaded over the Internet and operable on the visitor computer. Data mining code within the downloaded web page is operable on the visitor computer to obtain web browsing data. The cookie processing script operates in consideration of this web browsing data and an old cookie previously stored on the visitor computer and associated with the visited web page to obtain new cookie values. These new cookie values are then stored on the visitor computer and also attached to an image request sent to a data collection server where they are processed and posted for viewing by the web page owner. As cookie processing and writing occurs completely within the visitor computer, cookie-blocking technologies are circumvented.

Description

    CROSS-REFERENCES TO RELATED APPLICATIONS
  • This application claims the benefit from U.S. Provisional Patent Application No. 60/245,553 filed Nov. 2, 2000 whose contents are incorporated herein for all purposes.[0001]
  • BACKGROUND OF THE INVENTION
  • 1. Field of the Invention [0002]
  • The present application relates to compiling and reporting data associated with activity on a network server and more particularly to generating and processing cookies directly on a client node to report web traffic data from the client node to a server responsible for compiling such data. [0003]
  • 2. Description of the Prior Art [0004]
  • Programs for analyzing traffic on a network server, such as a worldwide web server, are known in the art. One such prior art program is described in U.S. patent application Ser. No. 09/240,208, filed Jan. 29, 1999, owned by applicant for the present invention, for a Method and Apparatus for Evaluating Visitors to a Web Server, which is incorporated herein by reference for all purposes. In these prior art systems, the program typically runs on the web server that is being monitored. Data is compiled, and reports are generated on demand—or are delivered from time to time via email—to display information about web server activity, such as the most popular page by number of visits, peak hours of website activity, most popular entry page, etc. [0005]
  • Analyzing activity on a worldwide web server from a different location on a global computer network (“Internet”) is also known in the art. To do so, a provider of remote web-site activity analysis (“service provider”) generates JavaScript code that is distributed to each subscriber to the service. The subscriber copies the code into each web-site page that is to be monitored. When a visitor to the subscriber's web site loads one of the web-site pages into his or her computer, the JavaScript code collects information, including time of day, visitor domain, page visited, etc. The code then calls a server operated by the service provider—also located on the Internet—and transmits the collected information thereto as a URL parameter value. Information is also transmitted in a known manner via a cookie received from the third party web tracking service. [0006]
  • Each subscriber has a password to access a page on the service provider's server. This page includes a set of tables that summarize, in real time, activity on the customer's web site. [0007]
  • Turning now to FIG. 1, indicated generally at [0008] 10 is a highly schematic view of a portion of the Internet implementing the present invention. Included thereon is a worldwide web server 12. Server 12, in the present example, is operated by a business that sells products via server 12, although the same implementation can be made for sales of services via the server. The server includes a plurality of pages that a site visitor can download to his or her computer, like computer 14, using a conventional browser program running on the computer. Examples of the type of pages that a visitor can download include informational pages and pages that describe the business and the products or services that are offered for sale.
  • As mentioned above, it would be advantageous to the seller to have an understanding about how customers and potential customers use server [0009] 12. As also mentioned above, it is known to obtain this understanding by analyzing web-server log files at the server that supports the selling web site. It is also known in the art to collect data over the Internet and generate activity reports at a remote server.
  • When the owner of server [0010] 12 first decides to utilize a remote service provider to generate such reports, he or she uses a computer 16, which is equipped with a web browser, to visit a web server 18 operated by the service provider. On server 18, the subscriber opens an account and creates a format for real-time reporting of activity on server 12.
  • To generate such reporting, server [0011] 18 provides computer 16 with a small piece of code, typically JavaScript code. The subscriber simply copies and pastes this code onto each web page maintained on server 12 for which monitoring is desired. When a visitor from computer 14 (client node) loads one of the web pages having the embedded code therein, the code passes predetermined information from computer 14 to a server 20—also operated by the service provider—via the Internet. This information includes, e.g., the page viewed, the time of the view, the length of stay on the page, the visitor's identification, etc. Server 20 in turn transmits this information to an analysis server 22, which is also maintained by the service provider. This server analyzes the raw data collected on server 20 and passes it to a database server 24 that the service provider also operates.
  • When the subscriber would like to see and print real-time statistics, the subscriber uses computer [0012] 16 to access server 18, which in turn is connected to database server 24 at the service provider's location. The owner can then see and print reports, like those available through the webtrendslive.com reporting service operated by the assignee of this application, that provide real-time information about the activity at server 12.
  • The above-described arrangement for monitoring web server activity by a service provider over the Internet is generally known in the art. Information analyzed in prior art systems generally consists of what might be thought of as technical data, such as most popular pages, referring URLs, total number of visitors, returning visitors, etc. [0013]
  • One known method for implementing this service is to load cookies on the computer of the visitor to the web page, where the cookies contain state information identifying that visitor (such as a unique visitor ID) and other information associated with that visitor (such as how many times the visitor has visited the particular web site). Despite the useful features that cookies provide to a user, there has been a recent backlash against using cookies as a perceived invasion of privacy. Modern web browsers now have a feature that allows a user to block all cookies and/or block cookies originating from third party web sites. This feature defeats the ability of web traffic analysis service providers from obtaining the information it needs to serve its customers. [0014]
  • Accordingly, the need remains for a way to still use cookies to obtain web site visitor data in the face of certain blocking features included in modern web browsers. [0015]
  • SUMMARY OF THE INVENTION
  • A method and apparatus is disclosed for setting cookie values from the client browser. Cookie values are read and written from the client browser and then sent to a processor on another computer. This process is used to avoid the alerts generated by web browsers when third-party (out of domain) cookies are accessed. [0016]
  • Cookie values such as the unique UserID values assigned to name-value pairs have traditionally been generated according to an algorithm stored at a cookie server and then transmitted to the client node for storage on the visitor's computer hard drive. The new IE 5.5 feature would block this process. The present invention instead embeds all cookie generating and processing algorithms within the JavaScript of the web pages sent to the client node. Such code adds about ten kilobytes of data to the web page file size and thus would not unduly affect the download time to the visitor computer. [0017]
  • The cookie is first read from a script that included in the web page code downloaded from a server coupled to the visitor computer over a wide area network such as the Internet. The same script then processes the data as fully as it can. Operation of the script then causes the computer to write new values back into the cookie and replace the old cookie values with the new values on the visitor computer hard drive. The script builds a string of all the data it has acquired and then passes it to a server by embedding the information into a request for an image. [0018]
  • The foregoing and other objects, features and advantages of the invention will become more readily apparent from the following detailed description of a preferred embodiment of the invention that proceeds with reference to the accompanying drawings.[0019]
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is a schematic view of a portion of the Internet on which the invention is operated. [0020]
  • FIG. 2 is a block diagram illustrating the interaction between a web page server and a client node during web page request transactions according to methods known in the art. [0021]
  • FIG. 3 is a block diagram illustrating the interaction between a web page server, a client node, and a third party advertisement server during web page request transactions according to methods known in the art. [0022]
  • FIG. 4 is a block diagram illustrating the interaction between a web server, a client node, and a third party visitor tracking server during web page request transactions according to methods known in the art. [0023]
  • FIG. 5 is a block diagram illustrating the interaction between a web server, a client node, and a third party visitor tracking server during web page request transactions according to a preferred embodiment of the invention.[0024]
  • APPENDIX A shows exemplary computer code used within a web page to implement the invention. [0025]
  • DETAILED DESCRIPTION
  • The description first includes a technical description of cookies and how such are used in web sites to track visitors, and then proceeds with how the present invention operates to allow visitor tracking in view of current technology developed to block third-party cookies. [0026]
  • What are Cookies?[0027]
  • A cookie is a piece of text that a web server can store on a user's hard disk. Cookies allow a web site to store information on a user's machine and later retrieve it. The pieces of information are stored as “name-value pairs” comprised of, for instance, a variable name (e.g. UserID) and a value (e.g. A9A3BECE0563982D) associated with that variable name. [0028]
  • Taking the web browser Microsoft Internet Explorer as an example, cookies are typically stored on a machine running Window 9x in a directory called c:\windows\cookies. The directory may list a vast number of name-value pairs, each associated with a particular domain from which they originated, representing all of the web sites that has placed a cookie on that particular computer. An example of a cookie file is shown below: [0029]
  • UserID A9A3BECE0563982D www.goto.com/ [0030]
  • The cookie above is typical of the type stored on a visitor's computer (hereinafter the client node) when visiting the web site located at the domain goto.com. The name of the name-value pair is UserID, and the value is A9A3BECE0563982D. Both the name and value of the pair are generated according to an algorithm programmed in the cookie server associated with the domain web site. The first time the client node browses the goto.com web site, software on that web site assigns a unique ID number for each visitor and instructs the browser on the client node to store the name-value pair as a cookie in a designated folder where it can be retrieved later. The same name-value pair data is stored on the goto.com cookie server along with other information so that the visitor can be identified later. [0031]
  • Cookies operate according to an industry standard called “Cookie RFC” (request for comment). [0032]
  • A more complicated example of a cookie is shown below in reference to the eCommerce web site amazon.com. Visits to the amazon.com web site result in the storage of a more comprehensive set of information on the client node visiting the web site. The resulting cookie from such a visit is comprised of the following “crumbs”: [0033]
  • Session-id-time 954242000 amazon.com/ [0034]
  • Session-id 002-4135256-7625846 amazon.com/ [0035]
  • x-main eKQIfwnxuF7qtmX52x6VWAXh@ih6Uo5H amazon.com/ [0036]
  • ubid-main 077-9263437-9645324 amazon.com/ [0037]
  • Each of these portions of the cookie, or “crumbs”, is associated with the amazon.com domain. Based on these crumbs, it appears that amazon.com stores a main user ID, an ID for each session, and the time the session started on the visitor computer (as well as an x-main value, which could be anything). While the vast majority of sites store just one piece of information—a user ID—on a visitor computer, there is really no limit to the amount of information such sites can store on the visitor computer in name-value pairs. [0038]
  • How Does Cookie Data Move?[0039]
  • A name-value pair is simply a named piece of data. It is not a program, and it cannot “do” anything. A web site can retrieve only the information that it has placed on the client node computer. It cannot retrieve information from other cookie files, or any other information from your machine. [0040]
  • The data moves in the following manner. If one were to type the URL of a web site into a computer browser, the browser sends a request to the web site for the page. For example, if one were to type the URL http://www.amazon.com into the browser, the browser will contact Amazon's server and request its home page. When the browser does this, it will look on the requesting machine for a cookie file that Amazon has set. If it finds an Amazon cookie file, the browser will send all of the name-value pairs in the file to Amazon's server along with the URL. If it finds no cookie file, it will send no cookie data. Amazon's web server receives the cookie data and the request for a page. If name-value pairs are received, Amazon can use them. [0041]
  • If no name-value pairs are received, Amazon knows that the visitor operating that computer has not visited before. The server creates a new ID for that visitor in Amazon's database and then sends name-value pairs to the computer in the header for the web page it sends. The computer stores the name-value pairs on its hard disk drive according to the Cookie RFC protocol. [0042]
  • The web server can change name-value pairs or add new pairs whenever you visit the site and request a page. [0043]
  • There are other pieces of information that the server can send with the name-value pair. One of these is an expiration date. Another is a path so that the site can associate different cookie values with different parts of the site. [0044]
  • How Do Web Sites Use Cookies?[0045]
  • Cookies evolved because they solve a big problem for the people who implement web sites. In the broadest sense, a cookie allows a site to store state information on a visitor's computer. This information lets a web site remember what state the browser is in. An ID is one simple piece of state information—if an ID exists on the visiting computer, the site knows that the user has visited before. The state is, “Your browser has visited the site at least one time,” and the site knows the user ID from that visit. [0046]
  • Web sites use cookies in many different ways. For instance, sites can accurately determine how many readers actually visit the site, which are new as opposed to repeat visitors, and how often each visitor has visited the site. It turns out that because of proxy servers, caching, concentrators and so on, the only way for a site to accurately count visitors is to set a cookie with a unique ID for each visitor. The way the site does this is by using a database. The first time a visitor arrives, the site creates a new ID in the database and sends the ID as a cookie. The next time the user comes back, the site can increment a counter associated with that ID in the database and know how many times that visitor returns. [0047]
  • Sites can also store user preferences so that the site can look different for each visitor (often referred to as customization). For example, if one were to visit msn.com, it offers the visitor the ability to change content/layout/color. It also allows one to enter a zip code and get customized weather information. When the zip code is entered, the following name-value pair is an example of what might be added to MSN's cookie file: [0048]
  • WEAT CC=NC%5FRaleigh%2DDurham®OION= www.msn.com/ [0049]
  • It is apparent from this name-value pair that the visitor is from Raleigh, N.C. Most sites seem to store preferences like this in the site's database and store nothing but an ID as a cookie, but storing the actual values in name-value pairs is another way to do it. [0050]
  • ECommerce Sites can implement things like shopping carts and “quick checkout” options. The cookie contains an ID and lets the site keep track of a visitor as the visitor adds different things to his or her “shopping cart.” Each item added is stored in the site's database along with the visitor's ID value. When the visitor checks out, the site knows what is in his or her cart by retrieving all of the selections from the database associated with that user or session ID. It would be impossible to implement a convenient shopping mechanism without cookies or something like it. [0051]
  • In all of these examples, note that what the database is able to store is things the visitor has selected from the site, pages viewed from the site, information given to the site in online forms, etc. All of the information is stored in the site's database, and a cookie containing your unique ID is all that is stored on the client node [0052] 14 (FIG. 1) in most cases.
  • An illustration of this interaction between a visitor's computer (client node) and the web server is shown in FIG. 2. The web server [0053] 30 includes a web page server 32 that stores and distributes, on request, web pages associated with a designated domain. The web server also includes a cookie database 34 that stores information about individual visitors to the web pages served by the web page server as described above.
  • The client node [0054] 36, shown in FIG. 2 as a computer of the web page visitor, includes components typical to computers such as a monitor 38, keyboard input device 40, a hard drive storage device 42 and a microprocessor 44. The client node also includes an input/output device capable of being connected to the Internet such as an analog modem (not shown). The hard drive has stored on it a browser software program 46 that runs on the microprocessor, and a set of cookie files 48 that are stored by operation of the instructions from the web server to the browser as described above.
  • The client node [0055] 36 makes a request for a web page that is directed to the web page server 32. If a cookie associated with the same domain as the web page requested is stored on the client node hard drive, then that cookie is also sent with the request. The web server 30 receives the request for the web page and sends the requested web page back to the client node along with a new cookie that, as in the case of the amazon.com site, stores additional name-pair data within the client node cookie files 48. The same information is typically reflected within the cookie database 34 of the web server 30.
  • A recent issue with cookies is the perceived invasion of privacy. Cookies allow sites to gather visitor information like never before. Certain infrastructure providers can actually create cookies that are visible on multiple sites. These providers typically fall into one of two categories: web advertisement services and web tracking services. [0056]
  • The most famous of the former is DoubleClick, Inc. Many companies use DoubleClick to serve ad banners on their sites. Ad banners are typically graphic image files (GIF) located within the web page that display the advertisement. Code within the web site requests the image directly from the Ad provider's servers. This allows the Ad provider to load cookies on your computer. Ad providers like DoubleClick can then track your movements across multiple sites and thus form a very rich profile of the user at the client node. These profiles are still anonymous, but they are rich. [0057]
  • FIG. 3 illustrates how a client node receives web pages from a visited web site such as amazon.com but sends requests for and receives advertising images from a third party such as doubleclick.com. The client node [0058] 36 first sends a web page request in step (1) for a web page associated with a particular domain. The web server 30 associated with that domain receives the request and serves the web page back to the client node in step (2). As above, additional cookie data can pass between the client node and the web server. Located on that web page is code that calls for additional images (typically paid advertisements) stored at an advertisement server 50 (e.g. at the domain doubleclick.com) different than the web server 30. A cookie, placed on the client node in a previous visit, is sent to the ad provider 52 together with the request for the image in step (3). The cookie is analyzed and processed at the cookie database 54 of the ad provider and the ad server sends the advertisement image to the client node 36 in step (4) for display as part of the originally requested web page.
  • A web tracking provider (illustrated in FIG. 4) operates on a similar principal but typically serves a passive role of collecting statistics and does not provide advertisement images for another entity's web site. Instead of serving an advertisement image, for instance, the web-tracking provider [0059] 56 provides new cookie information in step (4) to the client node 36. The image requested is typically only a 1×1 pixel image that is too small to be viewed by the naked eye and simply acts as a carrier on which tracking information is sent to the log analysis server 58 of the web-tracking provider. A new cookie is generated and sent to the client node. Visitor information is stored in a database 60 that can then be accessed by the web server 30 operator to see the popularity and demographics of the visitors to his or her web site.
  • Recently, computer users have been concerned that profile information gathered by such firms as DoubleClick would be linked to name and address information. This has been perceived by many people as spying and has resulted in the implementation of several cookie-blocking techniques. The Microsoft Internet Explorer browser, for instance, has for many years included a feature whereby a user can elect to block access to all cookies at his or her machine (client node). Selecting such a feature eliminates all of the advantages that cookies provide such as personalized web content pages, storing of user preferences, etc. [0060]
  • To allow a user to take advantage of cookies from web pages with which the visitor is directly interacting while still addressing privacy concerns, Microsoft has recently implemented a new feature in IE 5.5 that allows cookies from such sites to be used but blocks (or alerts the user to) third party cookies such as those from DoubleClick. The present invention, a preferred implementation of which is described below, is intended to circumvent this feature. [0061]
  • The Invention [0062]
  • Cookie values such as the unique UserID values assigned to name-value pairs have traditionally been generated according to an algorithm stored at a cookie server and then transmitted to the client node for storage on the visitor's computer hard drive. The new IE 5.5 feature would block this process. The present invention instead embeds all cookie generating and processing algorithms within the JavaScript of the web pages sent to the client node. Such code adds about ten kilobytes of data to the web page file size. [0063]
  • The illustration in FIG. 5 shows, at a high level, how the invention operates. The visitor makes a web page request in step (1) by typing in a URL into a browser program operating on the client node [0064] 36. The URL has a domain (such as amazon.com) that points it toward a particular web server 30 located on the Internet. That web server is the device on which the web site is stored. The web site is constructed using a html or JavaScript code including the original web page code (including text and images), data mining code, and additional cookie processing code supplied by the web tracking provider that performs the functions described in more detail below to establish and process a cookie right on the client node without additional interaction with the web tracking provider.
  • Once the request for the web page is received at the web server, the web page and cookie generation script embedded within the web page are sent back to the client node [0065] 36 in step (2). As the browser on the client node runs the script of the web page to display it on the client node monitor, the additional script is implemented to search for a cookie, generate a new cookie in step (3), and then process the cookie in step (4) to extract and then send in step (5) the information embedded therein to the web tracking provider. The information reflects the data collected from the client node and web page visiting session. The web server operator may access databases within the web tracking provider server 58 to look-up traffic information for specific web sites in step (6).
  • As the web page loads via the browser at the client node, the script accompanying the web page operates to: [0066]
  • (1) Search for a cookie associated with a particular domain—such as webtrendslive.com/. The following is an example of a JavaScript code string (the function RCook) embedded within the web page script and operable to read the cookie: [0067]
    // ==========================
    function RCook()
    {
    var k, c, i, s, e, v;
    for( i=0; 1<25; i++)
    {
    Cook[i] = “”;
    }
    k= “WTL”+siteid+“=”;
    c= document.cookie;
    s= c.indexOf ( k);
    if( s >= 0)
    {
    s+= k.length;
    e= c.indexOf( “;”, s);
    v= (e==−1) ? c.substr( s) : c.substring( s, e);
    Cook= v.split(“&”);
    for( i in Cook)
    {
    Cook[i]= unescape (Cook [i]);
    }
    }
    }
    // ==========================
  • (2) If no cookie exists, then the script generates and then saves a cookie to the cookie file. An example of the subroutine script used for storing or writing the cookie (the function WCook) is shown below: [0068]
    // ==========================
    function WCook()
    {
    var c, i;
    c= “WTL”+siteid+“=”;
    for( i in Cook)
    {
    c+= (i==0?“”:“&”) + escape(Cook[i]);
    }
    c+= “;path=/;expires=” + new Date(t.getTime() +31536000000) +
    document.cookie= c;
    }
    // ==========================
  • (3) If a cookie exists, then the script reads the cookie stored on the client node, processes the cookie based on the values read and the new events that have occurred, and replaces the cookie with new values. An example of the subroutine script used for writing the new cookie values is shown below: [0069]
    // ==========================
    X(“LastDate”,wtT(Cook[3]));
    Cook[3] = t.getTime();
    X(“LastUrl1”,Cook[4]);
    X(“LastUrl2”,Cook[5]);
    X(“LastUrl3”,Cook[6]);
    X(“LastUrl4”,Cook[7]);
    Cook[7] = Cook[6];
    Cook[6] = Cook[5];
    Cook[5] = Cook[4];
    Cook[4] = url;
    // ==========================
    where cookie values can be expanded to include the following
    information:
    // ==========================
    if (nv)
    {
    Cook[8] = t.getTime();
    Cook[9] = url;
    Cook[10] = ref;
    }
    X(“VisitDate”,wtT(Cook[8]));
    X(“VisitUrl”,Cook[9]);
    X(“VisitRef”,Cook[10]);
    // ==========================
    if( Cook[11]==“”) Cook[11] = 0;
    if( nv) Cook[11] = parseInt(Cook[11])+1;
    X(“NumVisit”,Cook[11]);
    if( Cook[12] ==“”) Cook[12] = 0;
    Cook[12] = nv ? 1 : parseInt(Cook[12])+1;
    X(“PageDepth”,Cook[12]);
    // ==========================
    if( Cook[13]==“”) Cook[13] = 0;
    if( of) Cook[13] = parseInt(Cook[13])+1;
    X(“NumOrder”,Cook [13]);
    X(“FirstOrderDate”,wtT(Cook[14]));
    if( of && ford) Cook[14] = t.getTime();
    X(“FirstOrderUrl”,Cook [15]);
    if( of && ford) Cook[15] = Cook[9];
    X(“FirstOrderRef”,Cook[16]);
    if( of && ford) Cook[16] = Cook[10];
    X(“LastOrderDate”,wtT(Cook[17]));
    if( of) Cook[17] = t.getTime();
    X(“LastOrderUrl”,Cook[18]);
    if( of) Cook[18] = Cook[9];
    X(“LastOrderRef”,Cook[19]);
    if( of) Cook[19] = Cook[10];
    // ==========================
    if( gf)
    {
    var F= new Array ();
    for( i=0; i<3; i++)
    {
    F[i]= “”;
    }
    // ==========================
    G= Cook[20].split(“|”);
    for( i=0; i< G.length; i++)
    {
    var F1= G[i].split(“,”);
    if( F1[0] == escape(CONTENTGROUP))
    {
    F[0] = F1[0];
    F[1] = F1[1];
    F[2] = F1[2];
    break;
    }
    }
    // ==========================
  • (4) The processed information from the previous step is built as a string of all of the data that it has acquired (such as visitor sessions, path, browser type, screen resolution, eCommerce, time spent on page, etc.) and attaches the data to an image request made to the web infrastructure service provider (e.g. ad servers or visitor tracking services). An example of code used to implement this function is included below: [0070]
    // ==========================
    window.document.wtImg.src = “button5.asp?”+W
    }
    var personal = 0
    if (personal)
    {
    wtTag();
    }
    else
    {
    // Capture their load and unload then overload the functions
    var theirLoad = window.onload;
    window.onload = wtLoad;
    }
    // -->
    </SCRIPT>
    // ==========================
    where the image request placeholder is included within the script as:
    document.write(′<A TARGET= “_blank”
    HREP=“http://www.webtrendslive.com/redirect.asp?siteID=19042”>
    ′);
    document.write (′<IMG NAME=“wtImg” BORDER=“0” WIDTH=“100”
    HEIGHT=“100” SRC=“”>′);
    document.write (′</A>′);
  • By setting the source of the image to a variable built by the script (e.g. www.webtrendslive.com/button3.asp?id39786c45629t120045), all the gathered information can be passed to the web server doing the logging, e.g. data collection server [0071] 20 (FIG. 1). In this case, for instance, the variable script “id39786c45629t120045” is sent to a location such as incorporated within applicants' webtrendslive.com web site and is interpreted by a decoder program built into the data analysis server 22 to mean that a user with ID#39786, loaded client web site #45629 in 4.5 seconds and spent 1:20 minutes there before moving to another web site.
  • A sample of the complete code used to implement the invention is included in Appendix A. [0072]
  • An advantage of the present invention is that all cookie reading and rewriting processes take place on the client node and no cookies get sent over the Internet. Accordingly, important information about the client node can still be mined and sent to a third party site that can accumulate and analyze such information without being affected by the cookie blocking features of such modem browsers as IE 5.5. [0073]
  • Having described and illustrated the principles of the invention in a preferred embodiment thereof, it should be apparent that the invention can be modified in arrangement and detail without departing from such principles. We claim all modifications and variation coming within the spirit and scope of the following claims. [0074]
    Figure US20040015580A1-20040122-P00001
    Figure US20040015580A1-20040122-P00002
    Figure US20040015580A1-20040122-P00003
    Figure US20040015580A1-20040122-P00004
    Figure US20040015580A1-20040122-P00005
    Figure US20040015580A1-20040122-P00006
    Figure US20040015580A1-20040122-P00007

Claims (13)

    We claim:
  1. 1. A method for tracking and reporting traffic activity on a web site comprising the steps of:
    storing a web page on a first server coupled to a wide area network, said web page having web page code and data mining code including a cookie processing script;
    uploading the web page to a visitor computer responsive to a request over the wide area network from the visitor computer;
    operating the data mining code on the visitor computer to obtain web browsing data; and
    operating the cookie processing script on the web browsing data to obtain new cookie values; and
    storing the new cookie on the visitor computer including the new cookie values.
  2. 2. The method of claim 1, further comprising the step of receiving the new cookie values at a second server.
  3. 3. The method of claim 2, further including the steps of:
    attaching the new cookie values to an image request associated with a designated URL source; and
    sending the image request to the URL source.
  4. 4. The method of claim 3, further including the step of decoding the new cookie values to obtain the web browsing data.
  5. 5. The method of claim 3, further including the steps of:
    compiling the web browsing data into a web page traffic report; and
    posting the report for viewing over the wide area network.
  6. 6. The method of claim 1, wherein the step of generating a new cookie includes the step of operating the cookie processing script on an old cookie associated with the web page and previously stored on the visitor computer.
  7. 7. The method of claim 6, further including the step of overwriting the old cookie with the new cookie.
  8. 8. The method of claim 1, further including the steps of:
    detecting that an old cookie exists on the visitor computer associated with the web site;
    tracking events on the visitor computer;
    processing the old cookie using cookie processing code in view of the tracked events to obtain new cookie values; and
    replacing the old cookie values with the new cookie values.
  9. 9. A method for analyzing activity on a web page of a web site comprising the steps of:
    embedding data mining script within a web page;
    embedding cookie processing script within the web page;
    sending the web page to a client node;
    operating the data mining script on the client node;
    operating the cookie processing script on the client node; and
    returning data resulting from the operation steps.
  10. 10. The method of claim 9, wherein the step of operating the cookie processing script on the client node includes:
    reading a cookie value from the client node;
    tracking events on the client node;
    processing cookie value based on the tracked events to obtain a new cookie value; and
    writing a new cookie value to the client node.
  11. 11. The method of claim 9, wherein the step of returning data includes the steps of:
    embedding data within an image request associated with a designated URL source; and
    sending the image request to the URL source.
  12. 12. The method of claim 11, further including the steps of:
    compiling the data into a web page traffic report; and
    posting the report for viewing over the wide area network.
  13. 13. An article comprising:
    a computer—readable modulated carrier signal;
    means embedded in the signal for mining data from a client node; and
    means embedded in the signal for processing a cookie on the client node.
US10053541 2000-11-02 2001-11-02 System and method for generating and reporting cookie values at a client node Abandoned US20040015580A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US24555300 true 2000-11-02 2000-11-02
US10053541 US20040015580A1 (en) 2000-11-02 2001-11-02 System and method for generating and reporting cookie values at a client node

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US10053541 US20040015580A1 (en) 2000-11-02 2001-11-02 System and method for generating and reporting cookie values at a client node
US12534734 US8234362B2 (en) 2000-11-02 2009-08-03 System and method for generating and reporting cookie values at a client node
US13562097 US8583775B2 (en) 2000-11-02 2012-07-30 System and method for generating and reporting cookie values at a client node

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US12534734 Continuation US8234362B2 (en) 2000-11-02 2009-08-03 System and method for generating and reporting cookie values at a client node

Publications (1)

Publication Number Publication Date
US20040015580A1 true true US20040015580A1 (en) 2004-01-22

Family

ID=22927126

Family Applications (3)

Application Number Title Priority Date Filing Date
US10053541 Abandoned US20040015580A1 (en) 2000-11-02 2001-11-02 System and method for generating and reporting cookie values at a client node
US12534734 Active 2022-08-12 US8234362B2 (en) 2000-11-02 2009-08-03 System and method for generating and reporting cookie values at a client node
US13562097 Active US8583775B2 (en) 2000-11-02 2012-07-30 System and method for generating and reporting cookie values at a client node

Family Applications After (2)

Application Number Title Priority Date Filing Date
US12534734 Active 2022-08-12 US8234362B2 (en) 2000-11-02 2009-08-03 System and method for generating and reporting cookie values at a client node
US13562097 Active US8583775B2 (en) 2000-11-02 2012-07-30 System and method for generating and reporting cookie values at a client node

Country Status (4)

Country Link
US (3) US20040015580A1 (en)
EP (1) EP1340132A4 (en)
CA (1) CA2427678A1 (en)
WO (1) WO2002044869A3 (en)

Cited By (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020184338A1 (en) * 2001-06-04 2002-12-05 Haines Robert E. System and method for requesting computer resources
US20030163575A1 (en) * 2002-02-27 2003-08-28 Perkins Gregory Eugene Resource location and access
US20040054784A1 (en) * 2002-09-16 2004-03-18 International Business Machines Corporation Method, system and program product for tracking web user sessions
US20040103200A1 (en) * 2002-11-23 2004-05-27 Microsoft Corporation Method and system for improved internet security via HTTP-only cookies
US20040122943A1 (en) * 2002-06-28 2004-06-24 Brett Error Custom event and attribute generation for use in website traffic data collection
US20040143670A1 (en) * 2002-07-02 2004-07-22 Pratik Roychowdhury System, method and computer program product to avoid server overload by controlling HTTP denial of service (DOS) attacks
US20040193605A1 (en) * 2003-03-25 2004-09-30 Weisman Mitchell T. Control of access to computers in a computer network
US20050216844A1 (en) * 2004-03-03 2005-09-29 Error Brett M Delayed transmission of website usage data
US20050278792A1 (en) * 2004-06-14 2005-12-15 Microsoft Corporation Method and system for validating access to a group of related elements
US7085682B1 (en) * 2002-09-18 2006-08-01 Doubleclick Inc. System and method for analyzing website activity
US20060265495A1 (en) * 2005-05-20 2006-11-23 Eric Butler First-party cookie for tracking web traffic
US20070271505A1 (en) * 2006-05-18 2007-11-22 Dandekar Shree A Central internet browser control for multiple browsers enabled system
US20090024737A1 (en) * 2006-01-31 2009-01-22 Lincoln Mark Vaughan Goldspink Website monitoring and cookie setting
US20090024748A1 (en) * 2006-01-31 2009-01-22 Speed-Trap, Com Linited Website monitoring and cookie setting
US20090064173A1 (en) * 2006-03-20 2009-03-05 Goldspink Lincoln M V Content management
US20090112976A1 (en) * 2007-10-29 2009-04-30 Hutchinson Kevin P Method for measuring web traffic
US20090112977A1 (en) * 2007-10-30 2009-04-30 Hutchinson Kevin P System for measuring web traffic
US20090150539A1 (en) * 2007-12-11 2009-06-11 Microsoft Corporation Webpage domain monitoring
US20090167843A1 (en) * 2006-06-08 2009-07-02 Izzat Hekmat Izzat Two pass approach to three dimensional Reconstruction
US20090217301A1 (en) * 2008-02-21 2009-08-27 Microsoft Corporation Identity persistence via executable scripts
US20100100615A1 (en) * 2008-10-17 2010-04-22 Samsung Electronics Co., Ltd. Apparatus and method for managing advertisement application
US20100121684A1 (en) * 2008-11-12 2010-05-13 Reachforce Inc. System and Method for Capturing Information for Conversion into Actionable Sales Leads
US20100125505A1 (en) * 2008-11-17 2010-05-20 Coremetrics, Inc. System for broadcast of personalized content
US20100145960A1 (en) * 2008-12-02 2010-06-10 Trueffect, Inc. Cookie Derivatives
US20100198911A1 (en) * 2008-03-21 2010-08-05 Alibaba Group Holding Limited Web Access Using Cross-Domain Cookies
US20100281389A1 (en) * 2007-10-29 2010-11-04 Hutchinson Kevin P System for measuring web traffic
US20110238829A1 (en) * 2006-06-28 2011-09-29 Microsoft Corporation Anonymous and secure network-based interaction
US20120232955A1 (en) * 2008-11-12 2012-09-13 Reachforce Inc. System and Method for Capturing Information for Conversion into Actionable Sales Leads
US20130097279A1 (en) * 2006-06-27 2013-04-18 Jared Polis Aggregator with managed content
US20130111584A1 (en) * 2011-10-26 2013-05-02 William Coppock Method and apparatus for preventing unwanted code execution
US8452865B1 (en) 2002-09-18 2013-05-28 Google Inc. System and method for reporting website activity based on inferred attribution methodology
US20130185645A1 (en) * 2012-01-18 2013-07-18 International Business Machines Corporation Determining repeat website users via browser uniqueness tracking
US20130227004A1 (en) * 2010-03-02 2013-08-29 Usablenet Inc. Methods for optimizing a web content proxy server and devices thereof
US8646029B2 (en) 2011-05-24 2014-02-04 Microsoft Corporation Security model for a layout engine and scripting engine
US8914625B1 (en) 2009-07-31 2014-12-16 Western Digital Technologies, Inc. Automatically configuring a web browser file when booting an operating system from a data storage device
US8959156B2 (en) 2006-06-27 2015-02-17 Fingerprint Cards Ab Peer-to-peer aggregation system
US20150095409A1 (en) * 2013-09-27 2015-04-02 Disney Enterprises, Inc. Method and System for Mapping, Tracking, and Transporting of Content Data on a Webpage
US9342274B2 (en) 2011-05-19 2016-05-17 Microsoft Technology Licensing, Llc Dynamic code generation and memory management for component object model data constructs
US9430452B2 (en) 2013-06-06 2016-08-30 Microsoft Technology Licensing, Llc Memory model for a layout engine and scripting engine
US9588936B1 (en) 2009-07-31 2017-03-07 Western Digital Technologies, Inc. Automatically transmitting a web browser file over the internet when booting an operating system from a data storage device

Families Citing this family (42)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9819561B2 (en) 2000-10-26 2017-11-14 Liveperson, Inc. System and methods for facilitating object assignments
US8868448B2 (en) 2000-10-26 2014-10-21 Liveperson, Inc. Systems and methods to facilitate selling of products and services
US8521827B2 (en) 2001-10-18 2013-08-27 Carhamm Ltd., Llc Presentation of information to end-users
US7603341B2 (en) 2002-11-05 2009-10-13 Claria Corporation Updating the content of a presentation vehicle in a computer network
US8255413B2 (en) 2004-08-19 2012-08-28 Carhamm Ltd., Llc Method and apparatus for responding to request for information-personalization
US8078602B2 (en) 2004-12-17 2011-12-13 Claria Innovations, Llc Search engine for a computer network
US7693863B2 (en) 2004-12-20 2010-04-06 Claria Corporation Method and device for publishing cross-network user behavioral data
US8086697B2 (en) 2005-06-28 2011-12-27 Claria Innovations, Llc Techniques for displaying impressions in documents delivered over a computer network
US9432468B2 (en) * 2005-09-14 2016-08-30 Liveperson, Inc. System and method for design and dynamic generation of a web page
US8738732B2 (en) 2005-09-14 2014-05-27 Liveperson, Inc. System and method for performing follow up based on user interactions
WO2007101478A1 (en) * 2006-03-09 2007-09-13 Tecs Research And Development Limited A method of monitoring online banner activity
FR2899707B1 (en) * 2006-04-06 2008-10-17 Weborama Sa Method for analysis of a web page
JP4906672B2 (en) * 2007-10-22 2012-03-28 株式会社日立製作所 Web application process recording methods and processes recorder
US8799200B2 (en) 2008-07-25 2014-08-05 Liveperson, Inc. Method and system for creating a predictive model for targeting webpage to a surfer
US8762313B2 (en) 2008-07-25 2014-06-24 Liveperson, Inc. Method and system for creating a predictive model for targeting web-page to a surfer
US8805844B2 (en) 2008-08-04 2014-08-12 Liveperson, Inc. Expert search
US9892417B2 (en) 2008-10-29 2018-02-13 Liveperson, Inc. System and method for applying tracing tools for network locations
US20100169792A1 (en) * 2008-12-29 2010-07-01 Seif Ascar Web and visual content interaction analytics
US9767212B2 (en) * 2010-04-07 2017-09-19 Liveperson, Inc. System and method for dynamically enabling customized web content and applications
US9250759B1 (en) * 2010-07-23 2016-02-02 Amazon Technologies, Inc. Visual representation of user-node interactions
US8918465B2 (en) 2010-12-14 2014-12-23 Liveperson, Inc. Authentication of service requests initiated from a social networking site
US9350598B2 (en) 2010-12-14 2016-05-24 Liveperson, Inc. Authentication of service requests using a communications initiation feature
CA2977942A1 (en) * 2010-12-20 2012-06-28 The Nielsen Company (Us), Llc Methods and apparatus to determine media impressions using distributed demographic information
US8533804B2 (en) * 2011-09-23 2013-09-10 Loyal3 Holdings, Inc. User login with redirect to home network
US8943002B2 (en) 2012-02-10 2015-01-27 Liveperson, Inc. Analytics driven engagement
US8805941B2 (en) 2012-03-06 2014-08-12 Liveperson, Inc. Occasionally-connected computing interface
US9171319B2 (en) * 2012-03-28 2015-10-27 Fifth Street Finance Corp., As Agent Analysis system and method used to construct social structures based on data collected from monitored web pages
US9563336B2 (en) 2012-04-26 2017-02-07 Liveperson, Inc. Dynamic user interface customization
US9672196B2 (en) 2012-05-15 2017-06-06 Liveperson, Inc. Methods and systems for presenting specialized content using campaign metrics
US20130326006A1 (en) * 2012-06-04 2013-12-05 Microsoft Corporation Managing large data sets through page based information tracking in multi-master environments
US8843827B2 (en) 2013-01-22 2014-09-23 Tealium Inc. Activation of dormant features in native applications
US20140282036A1 (en) * 2013-03-15 2014-09-18 Turn Inc. Universal tag for page analytics and campaign creation
US9723051B2 (en) * 2013-08-13 2017-08-01 Criteo Sa Setting first-party cookies by redirection
US20150066587A1 (en) 2013-08-30 2015-03-05 Tealium Inc. Content site visitor processing system
US8805946B1 (en) 2013-08-30 2014-08-12 Tealium Inc. System and method for combining content site visitor profiles
US9081789B2 (en) 2013-10-28 2015-07-14 Tealium Inc. System for prefetching digital tags
US8990298B1 (en) 2013-11-05 2015-03-24 Tealium Inc. Universal visitor identification system
US9602368B1 (en) 2014-03-14 2017-03-21 Google Inc. Identifier quality
WO2015157646A1 (en) 2014-04-11 2015-10-15 Ensighten, Inc. Url prefetching
US20160134708A1 (en) * 2014-11-07 2016-05-12 Christian Sundgaard Hansen System and method for cookie management
US9537964B2 (en) 2015-03-11 2017-01-03 Tealium Inc. System and method for separating content site visitor profiles
US9674129B1 (en) * 2016-10-05 2017-06-06 eTorch Inc. Email privacy enforcement

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5848396A (en) * 1996-04-26 1998-12-08 Freedom Of Information, Inc. Method and apparatus for determining behavioral profile of a computer user
US5991740A (en) * 1997-06-10 1999-11-23 Messer; Stephen Dale Data processing system for integrated tracking and management of commerce related activities on a public access network
US5999971A (en) * 1997-06-25 1999-12-07 Inforonics, Inc. Apparatus and method for identifying clients accessing network sites
US6055573A (en) * 1998-12-30 2000-04-25 Supermarkets Online, Inc. Communicating with a computer based on an updated purchase behavior classification of a particular consumer
US6073138A (en) * 1998-06-11 2000-06-06 Boardwalk A.G. System, method, and computer program product for providing relational patterns between entities
US6081788A (en) * 1997-02-07 2000-06-27 About.Com, Inc. Collaborative internet data mining system
US6085224A (en) * 1997-03-11 2000-07-04 Intracept, Inc. Method and system for responding to hidden data and programs in a datastream
US6101486A (en) * 1998-04-20 2000-08-08 Nortel Networks Corporation System and method for retrieving customer information at a transaction center
US6112240A (en) * 1997-09-03 2000-08-29 International Business Machines Corporation Web site client information tracker
US6327609B1 (en) * 1999-09-22 2001-12-04 Audiobase, Inc. System and method for using cookies in java
US6330566B1 (en) * 1998-06-22 2001-12-11 Microsoft Corporation Apparatus and method for optimizing client-state data storage
US20020040395A1 (en) * 1997-03-21 2002-04-04 Owen Davis Method of monitoring client interaction with a file downloaded from a server
US6374359B1 (en) * 1998-11-19 2002-04-16 International Business Machines Corporation Dynamic use and validation of HTTP cookies for authentication
US6405195B1 (en) * 1996-05-06 2002-06-11 Spotfire Ab System and method for collaborative hosted analysis of data bases via a network portal
US6735691B1 (en) * 2000-01-27 2004-05-11 Microsoft Corporation System and method for the automated migration of configuration information
US6810395B1 (en) * 1999-11-22 2004-10-26 Hewlett-Packard Development Company, L.P. Method and apparatus for query-specific bookmarking and data collection
US6839680B1 (en) * 1999-09-30 2005-01-04 Fujitsu Limited Internet profiling

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6070185A (en) * 1997-05-02 2000-05-30 Lucent Technologies Inc. Technique for obtaining information and services over a communication network
US6201996B1 (en) * 1998-05-29 2001-03-13 Control Technology Corporationa Object-oriented programmable industrial controller with distributed interface architecture
GB9818872D0 (en) * 1998-08-28 1998-10-21 Green Cathedral Limited Computer network information use monitoring
US6223215B1 (en) * 1998-09-22 2001-04-24 Sony Corporation Tracking a user's purchases on the internet by associating the user with an inbound source and a session identifier
US20010010059A1 (en) * 1998-10-28 2001-07-26 Steven Wesley Burman Method and apparatus for determining travel time for data sent between devices connected to a computer network
US6589290B1 (en) * 1999-10-29 2003-07-08 America Online, Inc. Method and apparatus for populating a form with data
US7185085B2 (en) * 2002-02-27 2007-02-27 Webtrends, Inc. On-line web traffic sampling

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5848396A (en) * 1996-04-26 1998-12-08 Freedom Of Information, Inc. Method and apparatus for determining behavioral profile of a computer user
US6405195B1 (en) * 1996-05-06 2002-06-11 Spotfire Ab System and method for collaborative hosted analysis of data bases via a network portal
US6081788A (en) * 1997-02-07 2000-06-27 About.Com, Inc. Collaborative internet data mining system
US6085224A (en) * 1997-03-11 2000-07-04 Intracept, Inc. Method and system for responding to hidden data and programs in a datastream
US20020040395A1 (en) * 1997-03-21 2002-04-04 Owen Davis Method of monitoring client interaction with a file downloaded from a server
US5991740A (en) * 1997-06-10 1999-11-23 Messer; Stephen Dale Data processing system for integrated tracking and management of commerce related activities on a public access network
US5999971A (en) * 1997-06-25 1999-12-07 Inforonics, Inc. Apparatus and method for identifying clients accessing network sites
US6112240A (en) * 1997-09-03 2000-08-29 International Business Machines Corporation Web site client information tracker
US6101486A (en) * 1998-04-20 2000-08-08 Nortel Networks Corporation System and method for retrieving customer information at a transaction center
US6073138A (en) * 1998-06-11 2000-06-06 Boardwalk A.G. System, method, and computer program product for providing relational patterns between entities
US6330566B1 (en) * 1998-06-22 2001-12-11 Microsoft Corporation Apparatus and method for optimizing client-state data storage
US6374359B1 (en) * 1998-11-19 2002-04-16 International Business Machines Corporation Dynamic use and validation of HTTP cookies for authentication
US6055573A (en) * 1998-12-30 2000-04-25 Supermarkets Online, Inc. Communicating with a computer based on an updated purchase behavior classification of a particular consumer
US6327609B1 (en) * 1999-09-22 2001-12-04 Audiobase, Inc. System and method for using cookies in java
US6839680B1 (en) * 1999-09-30 2005-01-04 Fujitsu Limited Internet profiling
US6810395B1 (en) * 1999-11-22 2004-10-26 Hewlett-Packard Development Company, L.P. Method and apparatus for query-specific bookmarking and data collection
US6735691B1 (en) * 2000-01-27 2004-05-11 Microsoft Corporation System and method for the automated migration of configuration information

Cited By (78)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8392527B2 (en) * 2001-06-04 2013-03-05 Hewlett-Packard Development Company L.P. System and method for requesting computer resources
US20020184338A1 (en) * 2001-06-04 2002-12-05 Haines Robert E. System and method for requesting computer resources
US20030163575A1 (en) * 2002-02-27 2003-08-28 Perkins Gregory Eugene Resource location and access
US20040122943A1 (en) * 2002-06-28 2004-06-24 Brett Error Custom event and attribute generation for use in website traffic data collection
US20040143670A1 (en) * 2002-07-02 2004-07-22 Pratik Roychowdhury System, method and computer program product to avoid server overload by controlling HTTP denial of service (DOS) attacks
US20040054784A1 (en) * 2002-09-16 2004-03-18 International Business Machines Corporation Method, system and program product for tracking web user sessions
US7389343B2 (en) * 2002-09-16 2008-06-17 International Business Machines Corporation Method, system and program product for tracking web user sessions
US7600020B2 (en) * 2002-09-16 2009-10-06 International Business Machines Corporation System and program product for tracking web user sessions
US8452865B1 (en) 2002-09-18 2013-05-28 Google Inc. System and method for reporting website activity based on inferred attribution methodology
US7085682B1 (en) * 2002-09-18 2006-08-01 Doubleclick Inc. System and method for analyzing website activity
US7359976B2 (en) * 2002-11-23 2008-04-15 Microsoft Corporation Method and system for improved internet security via HTTP-only cookies
US20040103200A1 (en) * 2002-11-23 2004-05-27 Microsoft Corporation Method and system for improved internet security via HTTP-only cookies
WO2004095210A3 (en) * 2003-03-25 2005-07-21 Claria Corp Control of access to computers in a computer network
WO2004095210A2 (en) * 2003-03-25 2004-11-04 Claria Corporation Control of access to computers in a computer network
US20040193605A1 (en) * 2003-03-25 2004-09-30 Weisman Mitchell T. Control of access to computers in a computer network
US20050216844A1 (en) * 2004-03-03 2005-09-29 Error Brett M Delayed transmission of website usage data
US20050278792A1 (en) * 2004-06-14 2005-12-15 Microsoft Corporation Method and system for validating access to a group of related elements
US8245049B2 (en) 2004-06-14 2012-08-14 Microsoft Corporation Method and system for validating access to a group of related elements
US8601278B2 (en) 2004-06-14 2013-12-03 Microsoft Corporation Validating access to a group of related elements
US8762550B2 (en) 2005-05-20 2014-06-24 Webtrends, Inc. Method for cross-domain tracking of web site traffic
US20060265495A1 (en) * 2005-05-20 2006-11-23 Eric Butler First-party cookie for tracking web traffic
US8131861B2 (en) * 2005-05-20 2012-03-06 Webtrends, Inc. Method for cross-domain tracking of web site traffic
US8898309B2 (en) 2006-01-31 2014-11-25 Speed-Trap.Com Ltd. Website monitoring and cookie setting
US20090024748A1 (en) * 2006-01-31 2009-01-22 Speed-Trap, Com Linited Website monitoring and cookie setting
US20090024737A1 (en) * 2006-01-31 2009-01-22 Lincoln Mark Vaughan Goldspink Website monitoring and cookie setting
US8365188B2 (en) * 2006-03-20 2013-01-29 Speed-Trap.Com Limited Content management
US20090064173A1 (en) * 2006-03-20 2009-03-05 Goldspink Lincoln M V Content management
US20070271505A1 (en) * 2006-05-18 2007-11-22 Dandekar Shree A Central internet browser control for multiple browsers enabled system
US7996778B2 (en) * 2006-05-18 2011-08-09 Dell Products L.P. Central internet browser control for multiple browsers enabled system
US20090167843A1 (en) * 2006-06-08 2009-07-02 Izzat Hekmat Izzat Two pass approach to three dimensional Reconstruction
US20130097279A1 (en) * 2006-06-27 2013-04-18 Jared Polis Aggregator with managed content
US8996654B2 (en) * 2006-06-27 2015-03-31 Fingerprint Cards Ab Aggregator with managed content
US8959156B2 (en) 2006-06-27 2015-02-17 Fingerprint Cards Ab Peer-to-peer aggregation system
US8458349B2 (en) * 2006-06-28 2013-06-04 Microsoft Corporation Anonymous and secure network-based interaction
US20110238829A1 (en) * 2006-06-28 2011-09-29 Microsoft Corporation Anonymous and secure network-based interaction
US20100281389A1 (en) * 2007-10-29 2010-11-04 Hutchinson Kevin P System for measuring web traffic
US20090112976A1 (en) * 2007-10-29 2009-04-30 Hutchinson Kevin P Method for measuring web traffic
US20090112977A1 (en) * 2007-10-30 2009-04-30 Hutchinson Kevin P System for measuring web traffic
US7752308B2 (en) 2007-10-30 2010-07-06 Hutchinson Kevin P System for measuring web traffic
US8145747B2 (en) 2007-12-11 2012-03-27 Microsoft Corporation Webpage domain monitoring
US20090150539A1 (en) * 2007-12-11 2009-06-11 Microsoft Corporation Webpage domain monitoring
US20090217301A1 (en) * 2008-02-21 2009-08-27 Microsoft Corporation Identity persistence via executable scripts
US8612993B2 (en) * 2008-02-21 2013-12-17 Microsoft Corporation Identity persistence via executable scripts
US9307036B2 (en) 2008-03-21 2016-04-05 Alibaba Group Holding Limited Web access using cross-domain cookies
US8874695B2 (en) * 2008-03-21 2014-10-28 Alibaba Group Holding Limited Web access using cross-domain cookies
US20100198911A1 (en) * 2008-03-21 2010-08-05 Alibaba Group Holding Limited Web Access Using Cross-Domain Cookies
US9406070B2 (en) * 2008-10-17 2016-08-02 Samsung Electronics Co., Ltd. Apparatus and method for managing advertisement application
US20100100615A1 (en) * 2008-10-17 2010-04-22 Samsung Electronics Co., Ltd. Apparatus and method for managing advertisement application
US9721266B2 (en) * 2008-11-12 2017-08-01 Reachforce Inc. System and method for capturing information for conversion into actionable sales leads
US20100121684A1 (en) * 2008-11-12 2010-05-13 Reachforce Inc. System and Method for Capturing Information for Conversion into Actionable Sales Leads
US20120232955A1 (en) * 2008-11-12 2012-09-13 Reachforce Inc. System and Method for Capturing Information for Conversion into Actionable Sales Leads
US20100125505A1 (en) * 2008-11-17 2010-05-20 Coremetrics, Inc. System for broadcast of personalized content
US20100145960A1 (en) * 2008-12-02 2010-06-10 Trueffect, Inc. Cookie Derivatives
US9659307B2 (en) 2008-12-02 2017-05-23 Trueffect, Inc. Cookie derivatives
US9104778B2 (en) * 2008-12-02 2015-08-11 Trueffect, Inc. Cookie derivatives
US9588936B1 (en) 2009-07-31 2017-03-07 Western Digital Technologies, Inc. Automatically transmitting a web browser file over the internet when booting an operating system from a data storage device
US8914625B1 (en) 2009-07-31 2014-12-16 Western Digital Technologies, Inc. Automatically configuring a web browser file when booting an operating system from a data storage device
US20130227004A1 (en) * 2010-03-02 2013-08-29 Usablenet Inc. Methods for optimizing a web content proxy server and devices thereof
US9473592B2 (en) * 2010-03-02 2016-10-18 Usablenet Inc. Methods for optimizing a web content proxy server and devices thereof
US9342274B2 (en) 2011-05-19 2016-05-17 Microsoft Technology Licensing, Llc Dynamic code generation and memory management for component object model data constructs
US9830305B2 (en) 2011-05-24 2017-11-28 Microsoft Technology Licensing, Llc Interface definition language extensions
US9830306B2 (en) 2011-05-24 2017-11-28 Microsoft Technology Licensing, Llc Interface definition language extensions
US8918759B2 (en) 2011-05-24 2014-12-23 Microsoft Corporation Memory model for a layout engine and scripting engine
US9244896B2 (en) 2011-05-24 2016-01-26 Microsoft Technology Licensing, Llc Binding between a layout engine and a scripting engine
US8904474B2 (en) 2011-05-24 2014-12-02 Microsoft Corporation Security model for a layout engine and scripting engine
US8646029B2 (en) 2011-05-24 2014-02-04 Microsoft Corporation Security model for a layout engine and scripting engine
US8881101B2 (en) 2011-05-24 2014-11-04 Microsoft Corporation Binding between a layout engine and a scripting engine
US9116867B2 (en) 2011-05-24 2015-08-25 Microsoft Technology Licensing, Llc Memory model for a layout engine and scripting engine
US9582479B2 (en) 2011-05-24 2017-02-28 Microsoft Technology Licensing, Llc Security model for a layout engine and scripting engine
US8689182B2 (en) 2011-05-24 2014-04-01 Microsoft Corporation Memory model for a layout engine and scripting engine
US8959628B2 (en) * 2011-10-26 2015-02-17 Cliquecloud Limited Method and apparatus for preventing unwanted code execution
US20130111584A1 (en) * 2011-10-26 2013-05-02 William Coppock Method and apparatus for preventing unwanted code execution
US20130185645A1 (en) * 2012-01-18 2013-07-18 International Business Machines Corporation Determining repeat website users via browser uniqueness tracking
US9934310B2 (en) * 2012-01-18 2018-04-03 International Business Machines Corporation Determining repeat website users via browser uniqueness tracking
US9430452B2 (en) 2013-06-06 2016-08-30 Microsoft Technology Licensing, Llc Memory model for a layout engine and scripting engine
US9680944B2 (en) 2013-09-27 2017-06-13 Disney Enterprises, Inc. Method and system for loading content data on a webpage
US20150095409A1 (en) * 2013-09-27 2015-04-02 Disney Enterprises, Inc. Method and System for Mapping, Tracking, and Transporting of Content Data on a Webpage
US9838487B2 (en) * 2013-09-27 2017-12-05 Disney Enterprises, Inc. Method and system for mapping, tracking, and transporting of content data on a webpage

Also Published As

Publication number Publication date Type
US8234362B2 (en) 2012-07-31 grant
US8583775B2 (en) 2013-11-12 grant
EP1340132A4 (en) 2005-12-07 application
EP1340132A2 (en) 2003-09-03 application
US20120297062A1 (en) 2012-11-22 application
US20090293001A1 (en) 2009-11-26 application
CA2427678A1 (en) 2002-06-06 application
WO2002044869A3 (en) 2002-08-29 application
WO2002044869A2 (en) 2002-06-06 application

Similar Documents

Publication Publication Date Title
US7890451B2 (en) Computer program product and method for refining an estimate of internet traffic
US6438592B1 (en) Systems for monitoring and improving performance on the world wide web
US6182097B1 (en) Method for characterizing and visualizing patterns of usage of a web site by network users
US6879960B2 (en) Method and system for using customer preferences in real time to customize a commercial transaction
US5774670A (en) Persistent client state in a hypertext transfer protocol based client-server system
US8060601B1 (en) Detecting content and user response to content
US7502994B2 (en) Web page link-tracking system
US20030163372A1 (en) Delivering content and advertisement
US6466966B1 (en) Method and apparatus for redirection of server external hyper-link references
US6393407B1 (en) Tracking user micro-interactions with web page advertising
US20080189408A1 (en) Presenting web site analytics
US20010020242A1 (en) Method and apparatus for processing client information
US20020042738A1 (en) Method and apparatus for determining the effectiveness of internet advertising
US6766313B1 (en) System and method for caching and retrieving information
US20030171977A1 (en) Clickstream analysis methods and systems
US6085229A (en) System and method for providing client side personalization of content of web pages and the like
US7562030B1 (en) Method and apparatus for real-time reporting of electronic commerce activity
US20060075019A1 (en) Method and system for providing content to users based on frequency of interaction
US20020178213A1 (en) Remote URL munging
US20030128231A1 (en) Dynamic path analysis
US20080183664A1 (en) Presenting web site analytics associated with search results
US20060064411A1 (en) Search engine using user intent
US20020069261A1 (en) Methods and systems for rule-based distributed and personlized content delivery
US20030033405A1 (en) Predicting the activities of an individual or group using minimal information
US5918014A (en) Automated collaborative filtering in world wide web advertising

Legal Events

Date Code Title Description
AS Assignment

Owner name: WEB TRENDS CORPORATION, OREGON

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:HERICY, XAVIER LE;LU, VICTOR;SHAPIRA, ELIJAHU;REEL/FRAME:012885/0612;SIGNING DATES FROM 20011031 TO 20020409

AS Assignment

Owner name: NETIQ CORPORATION, CALIFORNIA

Free format text: MERGER;ASSIGNOR:WEBTRENDS CORPORATION;REEL/FRAME:012903/0384

Effective date: 20020614

AS Assignment

Owner name: WEBTRENDS, INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:NETIQ CORPORATION;REEL/FRAME:016522/0700

Effective date: 20050429

AS Assignment

Owner name: WELLS FARGO FOOTHILL, INC., CALIFORNIA

Free format text: SECURITY AGREEMENT;ASSIGNOR:WEBTRENDS INC.;REEL/FRAME:015972/0647

Effective date: 20050429

AS Assignment

Owner name: WEBTRENDS INC., OREGON

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:WELLS FARGO CAPITAL FINANCE, LLC;REEL/FRAME:041598/0987

Effective date: 20110331

AS Assignment

Owner name: ORACLE AMERICA, INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:WEBTRENDS INC.;REEL/FRAME:042775/0589

Effective date: 20170612

AS Assignment

Owner name: ORACLE AMERICA, INC., CALIFORNIA

Free format text: CORRECTIVE ASSIGNMENT TO CORRECT THE INCORRECT APPL. NO. 7185085 PREVIOUSLY RECORDED AT REEL: 042775 FRAME: 0589. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT;ASSIGNOR:WEBTRENDS INC.;REEL/FRAME:046491/0477

Effective date: 20170612