WikiPatents - Community Patent Review
Create Free Account  |  License or Sell Your Patent  |  WikiPatents Marketplace  |  WikiPatents Blog
Username:  Password:  
    
Advanced Search
Automated collaborative filtering in world wide web advertising    
United States Patent5918014   
Link to this pagehttp://www.wikipatents.com/5918014.html
Inventor(s)Robinson; Gary B. (Ellsworth, ME)
AbstractOn the World Wide Web, and other interactive media, it is possible to show different ads to different people who are simultaneously viewing the same content. This invention is based on the fact that people who have shown a tendency for similar likes and dislikes in the past will show a tendency for such similarities in the future. Those people who strongly display such similarities with respect to a particular person ("the subject") are referred to as that person's "community." If the members of a subject's community tend to click on a particular Web ad, then it is likely that the subject will also tend to click on that ad. This invention combines techniques for: determining the subject's community, and determining which ads to show based on characteristics of the subject's community. The information used to determine whether a given individual should be in the subject's community is gleaned from the individual's activities in the interactive medium. Means are provided to track a consumer's activities so all the information he generates can be tied together in the database, e.g. by means of "cookies;" or by software running on the consumer's computer, such as an in-line plug-in, a screensaver working in conjunction with the Web browser, or the Web browser itself. A measure of similarity between individuals is generated. The individuals with the greatest calculated similarity become the subject's community; e.g. clusters are formed of groups of very similar consumers. Ads are presented to the subject based on his community, optionally selected based on demographics associated with the community.
   














 Title Information Submit all comments and votes
 
Patent Text Patent PDF Print Page Summary File History
Plain text PDF images Print Summary File History
Drawing from US Patent 5918014
Automated collaborative filtering in world wide web advertising - US Patent 5918014 Drawing
Automated collaborative filtering in world wide web advertising
Inventor     Robinson; Gary B. (Ellsworth, ME)
Owner/Assignee     Athenium, L.L.C. (Cambridge, MA)
Patent assignment
All assignments
Publication Date     June 29, 1999
Application Number     08/774,180
PAIR File History     Application Data   Transaction History
Image File Wrapper   Patent Term   Fees
Litigation
Filing Date     December 26, 1996
US Classification     709/219 706/12 707/10
Int'l Classification     G06F 015/163 G06F 017/30 G06F 015/00
Examiner     Maung; Zarni
Assistant Examiner     Caldwell; Andrew
Attorney/Law Firm     Nutter, McClennen & Fish, LLP
Address
Parent Case     CROSS REFERENCE TO RELATED APPLICATIONS This application claims priority from U.S. Provisional Application No. 60/009,286 filed on Dec. 27, 1995 and U.S. Provisional Application No. 60/012,517 filed on Feb. 29, 1996, both having named inventor Gary B. Robinson.
Priority Data    
USPTO Field of Search     707/3 707/10 395/200.47 395/200.48 395/200.49 706/12
Patent Tags     automated collaborative filtering world wide web advertising
   
Enter a comma (,) or semicolon (;) between multiple tag words/phrases.
Describe this patent:
 Amusing   
 Clever   
 Complex   
 Efficient   
 Historic   
 Important   
 Innovative   
 Interesting   
 Practical   
 Simple   
[no votes]
Patent WIKI

Share information and news about this patent, including information and news about the technology, inventors, company, ligation and licensing.

 References Submit all comments and votes
 
*references marked with an asterisk below are user-added references
 U.S. References
 
Add a new US reference:  
ReferenceRelevancyCommentsReferenceRelevancyComments
5848396
Gerace
705/10
Dec,1998

[0 after 0 votes]
5848397
Marsh
705/14
Dec,1998

[0 after 0 votes]
5842199
Miller
707/2
Nov,1998

[0 after 0 votes]
5838790
McAuliffe
713/176
Nov,1998

[0 after 0 votes]
5794210
Goldhaber

Aug,1998

[0 after 0 votes]
5790935
Payton

Aug,1998

[0 after 0 votes]
5790426
Robinson
702/179
Aug,1998

[0 after 0 votes]
5774170
Hite
725/34
Jun,1998

[0 after 0 votes]
5754938
Herz

May,1998

[0 after 0 votes]
5740252
Minor
713/153
Apr,1998

[0 after 0 votes]
5737619
Judson
715/500
Apr,1998

[0 after 0 votes]
5724424
Gifford
705/79
Mar,1998

[0 after 0 votes]
5704018
Heckerman
706/12
Dec,1997

[0 after 0 votes]
5704017
Heckerman
706/12
Dec,1997

[0 after 0 votes]
5572643
Judson
709/218
Nov,1996

[0 after 0 votes]
4870579
Hey
705/27
Sep,1989

[0 after 0 votes]
4996642
Hey
705/27
Dec,1969

[0 after 0 votes]
 Foreign References
 Other References
 Market Review Submit all comments and votes
   
Market Size
Estimate the gross annual revenues of the relevant market sector:
> $10B
$5B - $10B
$2B - $5B
$500M - $2B
$100M - $500M
$10M - $100M
$1M - $10M
$500K - $1M
$100K - $500K
< $100K
[No votes]
$0
 
$0   $2.5B   $5B   $7.5B   $10B
Market Share
Estimate the percentage of the relevant market sector this invention will capture:
75% - 100%
50% - 74.99%
25% - 49.99%
10 - 24.99%
5 - 9.99%
2 - 4.99%
1 - 1.99%
< 1%
[No votes]
0.0%
 
0%   25%   50%   75%   100%
Reasonable Royalty
What percentage of gross sales should the inventor or assignee be paid?
75% - 100%
50% - 74.99%
25% - 49.99%
10 - 24.99%
5 - 9.99%
2 - 4.99%
1 - 1.99%
< 1%
[No votes]
0.0%
 
0%   25%   50%   75%   100%
Public's "Guesstimation" of Royalty Value
Market SizeN/A[No votes]
xMarket ShareN/A[No votes]
xReasonable RoyaltyN/A[No votes]

N/A

License Availablity
If you are NOT the owner or assignee, answer here:
Yes, license is available for purchase

No, license is not currently available



[No votes]
License Availablity
If you ARE the owner or assignee, answer here:
Yes, license is available for purchase

No, license is not currently available



[No votes]
Competitive Advantage
Does this invention have a significant competitive advantage over similar technologies?
Yes

No



[No votes]
Most helpful competitive advantage comment
[No comments]

Commercial Alternatives
Are there viable commercial alternatives for this invention?
Yes

No



[No votes]
Most helpful commercial alternative comment
[No comments]

 Technical Review Submit all comments and votes
 Claims Submit all comments and votes
 


Having thus described the invention, what it is desired to claim and thereby protect by Letters Patent is:

1. An automated system in an interactive communication medium for selectively displaying one or more advertisements to a subject comprising:

a collaborative filtering means for determining a subject's community, using information derived from the activities of the subject in the interactive communication medium, and

means for determining which of the one or more advertisements to show the subject based on characteristics of the subject's community, wherein the means for determining which of the one or more advertisements to show the subject based on characteristics of the subject's community includes means for displaying a new advertisement for a training period and means for determining whether a high or low proportion of members of the subject's community have viewed further information about the advertisement.

2. The system of claim 1, wherein the information derived from the activities of the subject comprises information selected from at least one of the following:

(1) an identity of one or more sites the subject has visited;

(2) a frequency with which the subject visits each of the one or more sites;

(3) a nature of the content at the visited sites;

(4) an identity of items purchased by the subject;

(5) a price of any items purchased by the subject;

(6) ratings supplied by the subject;

(7) a selection of advertisements the subject has chosen to view further information about; and

(8) a selection of advertisements in which the subject has indicated disinterest.

3. The system of claim 1, further comprising means for recording said information in a tracking database.

4. The system of claim 3, wherein said means for recording said information in a tracking database includes at least a portion of a computer program being executed by a processor which the subject used to visit the sites.

5. The system of claim 4, wherein the at least portion of a computer program being executed by the processor which the subject used to visit the sites is selected from at least one of the following: an in-line application with the ability to write directly to the subject's computer, a screensaver working in conjunction with a browser, and software incorporated in a browser.

6. The system of claim 1, wherein the means for determining which advertisements to show the subject based on characteristics of the subject's community includes means for associating a demographic profile with the community and means for associating a demographic profile with specific advertisements.

7. The system of claim 1, wherein the means for determining which advertisements to show the subject based on characteristics of the subject's community is embodied in software being executed by a processing system used by the subject.

8. A computer implemented process in an interactive medium for selectively displaying one or more advertisements to a subject comprising the steps of:

(a) tracking activities of the subject in the interactive medium;

(b) deriving information from the activities of the subject identified in said tracking step;

(c) determining a community of the subject using all or a portion of the information; and

(d) determining which of the one or more advertisements to present to the subject based on the subject's community, wherein said step of determining which advertisements to show the subject based on characteristics of the subject's community includes the steps of:

displaying a new advertisement for a training period; and

determining whether a high or low proportion of members of the subject's community have chosen to view further information about the advertisement.

9. The process of claim 8, wherein the information derived from the activities of the subject comprises information corresponding to at least one of:

(1) an identity of one or more sites the subject has visited;

(2) a frequency with which the subject visits each of the one or more sites;

(3) a nature of the information content at the visited sites;

(4) an identity of items purchased by the subject;

(5) a price of any items purchased by the subject;

(6) ratings supplied by the subject;

(7) a selection of advertisements the subject has chosen to view further information about; and

(8) a selection of advertisements in which the subject has indicated disinterest.

10. The process of claim 9, wherein the process further comprises the step of recording said information in a tracking database.

11. The process of claim 10, wherein said step of recording such information in a tracking database uses at least a portion of a computer program being executed by a processor which the subject used to visit the sites.

12. The process of claim 11, wherein the at least portion of a computer program being executed by the processor which the subject used to visit the sites is selected from at least one of the following: an in-line application with the ability to write directly to the subject's computer, a screensaver working in conjunction with a browser, and software incorporated in a browser.

13. The process of claim 10, wherein the step of recording said information in a tracking database is under Common Gateway Interface control.

14. The process of claim 8, wherein said step of determining which advertisements to show the subject based on the subject's community includes the steps of:

associating a demographic profile with the community; and

associating a demographic profile with specific advertisements.

15. The process of claim 8, further comprising the step of filtering the information from said deriving step to provide filtered information.

16. The process of claim 15, further comprising the step of grouping the subject into a cluster formed of other subjects with similar communities.

17. A computer program product for selectively displaying at least one or more host based advertisements to a guest at a remote location comprising:

(a) a computer usable medium having computer readable program code means embodied therein for tracking activities of the guest at the remote location;

(b) computer readable program code means for deriving information from the activities of the guest identified in said tracking step;

(c) computer readable program code means for determining a community of the guest using all or a portion of the information; and

(d) computer readable program code means for determining which advertisements to present to the guest based on the guest's community, wherein the means for determining which advertisements to present the subject based on the guest's community includes computer readable program code means for displaying a new advertisement for a training period and computer readable program code means for determining whether a high or low proportion of members of the guest's community have chosen to view further information about the advertisement.

18. The computer program product of claim 17, wherein the information derived from the activities of the guest comprises information selected from at least one of the following:

(1) an identity of one or more sites the guest has visited;

(2) a frequency with which the guest visits each of the one or more sites;

(3) a nature of the content at the visited sites;

(4) an identity of items purchased by the guest;

(5) a price of any items purchased by the guest;

(6) ratings supplied by the guest;

(7) a selection of advertisements the guest has chosen to view further information about; and

(8) a selection of advertisements in which the guest has indicated disinterest.

19. The computer program product of claim 17, wherein the product further comprises computer readable program code means for recording the information in a tracking database stored locally at the guest's remote location.

20. The computer program product of claim 17, further comprising readable program code means for filtering the information from said deriving step to provide filtered information.

21. The computer program product of claim 17, wherein a plurality of guests with similar communities are grouped into clusters.

22. The computer program product of claim 17, wherein a demographic profile is created for the guest based upon the information derived from the activities of the guest.

23. A computer program product for selectively displaying at least one or more host based advertisements to a guest at a remote location comprising:

(a) a computer usable medium having computer readable program code means embodied therein for tracking activities of the guest at the remote location;

(b) computer readable program code means for deriving information from the activities of the guest identified in said tracking step;

(c) computer readable program code means for determining a community of the guest using all or a portion of the information;

(d) computer readable program code means for determining which advertisements to present to the guest based on the guest's community; and

(e) computer readable program code means for displaying an advertisement, the computer readable program code means for displaying an advertisement responsive to the computer readable program code means for determining which advertisements to present the guest wherein the computer readable program code means for displaying displays the advertisement determined by the computer readable program code means for determining which advertisement to present the guest wherein the guest has the ability to reject the selected advertisement, whereby the rejected advertisement is replaced with a second selected advertisement determined by said computer readable program code means for determining which advertisement to present the guest.

24. The computer program product of claim 23, wherein the computer readable program code means for displaying displays the advertisements in a window of a display at the guest's remote location.

25. The computer program product of claim 24, wherein the advertisement displayed in the window is linked to an advertiser's site.
 Description Submit all comments and votes
 


FIELD OF THE INVENTION

This invention involves the display of advertising to users of an interactive communications medium. It is particularly useful with the World Wide Web, which utilizes a communications protocol on the Internet.

To access the Internet, and to carry out the methods described in this document, one must have a CPU, RAM, Internet connection (for instance, through a phone line and modem), input device such as a keyboard, and an output device such as a TV, CRT or LCD.

All of the above-identified hardware, necessary to carry out the steps described in this document, will be considered to be implied in the following description of the present invention.

INTRODUCTION

Under the old model for the advertising industry, the subject matter of one "unit of publication" (a magazine, a newspaper section, a radio show, a TV show) was often the sole means an advertiser possessed in order to guess the interests of a particular reader or viewer. If for instance, the magazine was about cars, advertisers knew that anyone reading it was highly likely to be interested in cars.

However, on the Internet's World Wide Web, multiple units of publication--that is, multiple Web pages and user actions over time--can be used to determine the interests of each individual. Moreover, this information can be gathered very inexpensively. To do this, we take advantage of the fact that a Web user's actions can be tracked over time. This rich source of information about each person will be used to bring about an era of far more efficient advertising. The information used includes not only which sites were visited by the user and for how long, but also which ads the user clicked on, as well as other information.

Under the old model, as it exists on the Web today, most of this information is ignored. It is technically possible to acquire it, but it isn't generally being done. This is due to reasons of momentum of the old model, lack of well-known software and statistical tools for making use of the information, and, not insignificantly, fears of an invasion of privacy (a problem that must be dealt with and that this concept paper will explore below). But this information, when acquired and used, will be extremely useful in trying to make sure that each square inch of the limited Web advertising space on each site is used to effectively reach individual customers.

This ignored information, because of its power to enhance advertising effectiveness, is extremely valuable.

Moreover, the use of this information benefits not only the users, but also every one of the interested commercial entities--advertisers, ad agencies, and Web sites. Each entity will be economically motivated to facilitate the move to the new paradigm.

SUMMARY OF THE INVENTION

On the World Wide Web, and other media such as interactive television, it is possible to show different ads to different people who are simultaneously viewing or interacting with the same content. For instance, a particular Web page may have an area reserved for advertisements. Anyone of average experience in the field of Web programming would be able to create code to show different advertisements to different people simultaneously viewing that page. This can be accomplished, for instance, by means of a CGI script.

Since different people have different interests, it is apparent that this can be a useful thing to do. But the question remains: how do we determine which advertisements to choose for a particular viewer?

This invention is based on the fact that people who have shown a tendency for similar interests and likes and dislikes in the past will usually continue to show a tendency for such similarities in the future. In particular, people who have shown a historical tendency to be interested in the same ads in the past will usually continue to display such a tendency as time goes on. Those people who strongly display such similarities with respect to a particular person (who we will refer to as "the subject") are referred to as that person's "community."

If the members of a particular consumer's community tend to click on a particular Web ad, then there is a certain likelihood that the subject consumer will also tend to click on that ad.

To take advantage of this fact, this invention combines techniques for solving two problems: determining the subject's community, and determining which ads to show based on characteristics of the subject's community.

In this invention, the information used to determine whether a given individual should be in the subject's community is gleaned from the activities of the individual in the interactive medium in question. For instance, when the interactive medium is the World Wide Web, the information may involve such facts as the choices of Web sites the individuals have each visited, the frequency of such visits, the nature of the content at those sites, etc. If the sites are online stores, the information may involve the choice of specific items purchased, as well as the prices of those items. As another example, if the site is an entertainment recommendation service based on user-supplied ratings (Firefly at www.ffly.com is an example), the ratings can be used. One more example is the selection of Web ads each individual has chosen to click on. In one embodiment, there is a feature which allows individuals to indicate their disinterest in an ad; this serves as additional input.

There needs to be a means to track a consumer's activities so all the information he generates can be tied together in the database. In one embodiment, this is accomplished by means of Netscape-style "cookies," which are stored on the consumer's hard disk under CGI control. In other embodiments, software running on the consumer's computer, such as an Netscape-style in-line plug-in, a screensaver working in conjunction with the Web browser, or the Web browser itself, is used to tie the data together.

This information is used as the basis for calculations which generate a (usually numeric) measure of similarity between individuals. Examples of such similarity measures are well-known to programmers of ordinary skill in the field of collaborative filtering.

The individuals with the greatest calculated similarity become the subject's community.

In one embodiment clusters are formed of groups of very similar consumers. Then, the subjects community consists of all or some of the other members of his cluster.

The next major task is to decide what ads to show the subject based on his community.

In one embodiment of the invention, a new ad is displayed randomly or on a fixed schedule to a certain number of users. During this "training period" for the new ad, a certain percentage of the members of the subject's community will click on it. If this is an unusually high proportion, then there is a relatively high likelihood that the ad will be of relatively high interest to the subject. In one embodiment, statistical techniques are used to determine a probability, associated with a fixed confidence level, with which we can assume a randomly-chosen member of the subject's community will tend to click on the ad; this probability is used as the measure of similarity. Other embodiments involve other analytic techniques.

There are a number of additional features found in other embodiments of the invention.

In one embodiment, the advertiser specifies the demographic profile he wants to show the ad to. In that case, as long as we have demographic information available for some consumers, the system targets ads by considering the subject's community members who have supplied demographic information. For instance, by computing the average age of the members of the subject's community who have supplied their ages, the system is enabled to make an "intelligent guess" about the subject's age, and use that guess for the purpose of targeting ads.

In one embodiment of the invention, special Web pages or sites are supplied which enable advertisers to specify specific specific sites they would like their ads to run on (or not run on); similarly, special Web pages or sites are supplied which enable Web site administrators to specify ads they would like to display or not display.

In other embodiments, means are supplied for consumers to specify and update their demographic information; these means take the form of a Web site or page in one embodiment, and software running on the consumer's computer in another.

In some embodiments, software running on the consumer's computer makes the choices about which ads are to be displayed for that user. This embodiment has the advantage that it obviates the need for a central database storing detailed information about consumer together with an identifier for each consumer; so the consumer's privacy is protected.

BRIEF DESCRIPTION OF THE DRAWINGS

A more complete understanding of the present invention and the attendant advantages and features thereof will be more readily understood by reference to the following detailed description when considered in conjunction with the accompanying drawings wherein:

FIG. 1 is a flowchart diagram for the steps performed in selectively displaying one or more advertisements to a subject in accordance with the teachings of the present invention.

DETAILED DESCRIPTION

Referring to FIG. 1, a preferred embodiment of the present invention is shown. In this embodiment, the system begins by tracking activities of the subject in the interactive medium (step 10). Next, the system derives information from the activities of the subject (step 20). The system then determines a community of the subject using all or a portion of the information (step 30). Finally, the system determines which of the one or more advertisements to present to the subject based on the subject's community by displaying a new advertisement for a training period and determining whether a high or low proportion of members of the subject's community have chosen to view further information about the advertisement (step 40).

Smart Ad Boxes

The centerpiece of this invention is the "Smart Ad Box." A Smart Ad Box is an area on a Web page (usually rectangular) which is used to display Web advertising. Special software algorithms are used to determine which ads are shown to which users; different visitors to a Web page can simultaneously see different ads.

A number of factors can be used by the software in determining which ads to show. For instance, based on their Dec. 6, 1995 press release, the company C.vertline.Net appears to be planning to implement a Smart Ad Box-like system which decides which ads to present to which users based on such information as the type of Web browser they're using, their age, gender, Internet domain (EDU, COM, etc.) and other demographic information. A Dec. 19, 1995 press release from Novo Media Group indicates at least somewhat similar plans.

This invention involves using automated collaborative filtering (ACF) either instead of, or in addition to, the above-mentioned techniques. (ACF is also referred to as social information filtering.) As far as is known, there is no prior art that involves using ACF in determining which ads to show to whom.

For ease of discussion, this patent will focus exclusively on the use of ACF in Web advertising. However, it must be stressed that ACF can be used in a complementary manner to techniques such as those C.vertline.Net and Novo Media Group are developing. ACF can give us a certain amount of evidence that a particular ad should be shown to a particular user; such information as age, sex, Internet domain, etc. can be considered as well.

From the point of view of a Web site hosting a Smart Ad Box, the Smart Ad Box consists of a small amount of HTML code. It may optionally involve non-HTML code, such as Java. It involves calling a CGI routine.

What the user sees.

When a Smart Ad Box appears on a page, a user viewing that page will see an ad which is targeted to that particular user. Thus, simultaneous viewers of the same page will often be presented with different ads. The ad is visually contained in the Smart Ad Box. The Smart Ad Box may or may not be rectangular in shape; it will often, but not necessarily, exist in a fixed region on the screen.

The Smart Ad Box will present different ads to a user over time. Certainly, simply showing the same ad over and over again is not maximally effective. The user would simply become used to it and would therefore come to ignore it. This invention involves rotating the user through different ads which are of likely to be of interest to that particular user. The rotation schedule can be chosen for maximal overall advertising effectiveness. One way to measure effectiveness would be the frequency of clicks on ads in Smart Ad Boxes--the rotation schedule could be chosen to maximize this number. It could involve such information as the number of times the user has seen each ad in the past, and the predicted likelihood that the user will be interested in the given ad. Another factor that could be considered is resonance with the Web page showing the ad--perhaps ads that relate in some way to the subject matter of the page will be more likely to be clicked on.

Like most current Web advertisements, clicking on a Smart Ad Box will cause the user to be transported to a Web site chosen by the advertiser.

Moreover, particular implementations of the present invention can optionally include certain additional features, such as the ability to reject an ad--for instance, with an option-click of the mouse. A user would do this for an ad that had no interest for him. The rejected ad would automatically be replaced with another ad targeted to that user.

Control features for advertisers and Web site managers.

The central database can optionally contain rules or control records provided by advertisers and Web site managers. These could be used for the following purposes:

An advertiser may not want to be associated with certain Web sites or types of Web sites; alternatively there may be certain sites or types of sites they would like to be associated with as strongly as possible. Advertisers could specify such inclinations, and they can be stored in a database. Then, when the software is choosing the next ad to show to a particular user who is visiting a particular Web site, those factors can be taken into account.

Similarly, a Web site may prefer certain advertisers or advertisements or types of advertisements to others. The Web site can specify such inclinations, and they can be taken into account when the next ad is chosen for a particular user currently visiting that Web site.

One way for advertisers and Web sites to supply these rules would be for a Web site to be constructed which would do the following:

1. There would be a page which would present advertisers with a list of Web sites which are currently running Smart Ad Boxes. (Optionally, these Web sites could be grouped according to subject matter. For instance, Web sites concerning automobiles could be grouped together. In addition, individual pages of Web sites could be listed. Thus, there could be a three-level hierarchy.)

2. It would allow the advertiser to input identification information about an ad--for instance, its URL. This will tell the software that the information given will apply to that particular ad.

3. It would allow the advertiser to indicate which Web sites he would like to have display his ad. If Web sites are grouped by subject matter and/or individual pages are listed, the advertiser should be able to indicate choices on those items, too.

For instance, a check box could appear next to each item. If the advertiser clicks a checkbox for an item which has subordinate items (for instance, the user may have clicked on the checkbox for a Web site which was listed with its individual pages) then the checkboxes for the subordinate items could be automatically "checked" or "filled in" by the software. (Java or JavaScript could be used to do this in "real-time" instead of requiring the user to submit the form.) But a number of other mechanisms could be used instead of checkboxes--for instance, the listings could change color to indicate having been chosen. Checkboxes are probably preferable, though, since their meaning is so intuitively clear.

4. Optionally, there could be a page that would work the opposite way. It would allow an advertiser to identify a particular ad, and then it would allow him to specify the sites (subject groups, pages) which have Smart Ad Boxes but which he would rather not allow to show his ad. Thus, his ad would be distributed to all pages with Smart Ad Boxes except those that were specified. Again, pages could be specified by means of checkboxes at page, site, or subject matter levels.

5. In the above, whenever a page is listed, it should optionally be possible to click on the listing to be transported to that page in order to investigate it.

6. Optionally, advertisers should be able to retrieve the information already entered for a particular ad. For instance, an advertiser may change his mind about showing an ad on a given site. So, by specifying the ad's identifier, the advertiser should be presented with a listing of pages which indicate the choices he has already made; ideally, he should be able to change those choices using the same techniques used to enter those choices originally--for instance, by clicking on the checkboxes.

7. Through the pages described above, an advertiser would be able to specify the pages which will be allowed to display the ad. However, the Web sites with Smart Ad Boxes also need to have a choice. So a page could be set up for them which listed all the ads which they are allowed to show. As in the other case, checkboxes could be used to indicate which ads will be chosen; again as in the other case, the webmaster should be able to indicate either the specific ads he wants to present on his page (automatically disallowing the rest) or the ads he doesn't want to present (automatically including the rest).

8. As in the other case, allowed ads could be presented hierarchically by subject matter, with checkboxes at both levels.

9. The ad listings could, optionally, consist of the ad banners themselves. Alternatively, they could be "hot-linked" text that the webmaster could click on to be transported to a page containing the banner (which might additionally have other information supplied by the advertiser about the ad). There should optionally also be a way for the webmaster to visit the site that the banner will be linked to; this could be accomplished simply by hotlinking the banner to the site, just as will be the case for users. It could also be accomplished other ways, including having a button, next to the listing for the ad, which is hotlinked to the related site.

10. Alternatively, the system could work the opposite way. Instead of enabling advertisers to offer ads to chosen Web sites, the process could start with Web sites offering pages to advertisers, which could then choose which pages they want to accept.

11. In cases where hierarchies are displayed, the hierarchies could be collapsible, similar to the way files are listed in the Finder of Macintosh's System 7 operating system when View is "by Name." This would enable people using the lists to navigate them more effectively, especially if the actions for expanding and collapsing hierarchy levels were very fast. To achieve a quick and responsive user interface, a Java applet could be written which handled some or all aspects of the user interaction.

Control features for users.

Demographic data.

Web pages can optionally display a hot link to a site where users can enter their demographic data. Users can optionally be given the ability to modify their demographic data at any time. Finally, if they wish to, they can optionally be given the ability to delete their demographic data at any time.

This control over their demographic data will alleviate many user's privacy concerns.

In addition, users should have easy access to information statin