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In this regard, modern libraries may have a vast number of books, magazines, newspapers, videotapes, audiotapes and other publications ranging from tens to hundreds of thousands to millions.

Thus, most libraries have electronic or manual card catalogs that classify and index all books and other materials. While this classification system is useful, it often has considerable limitations.

The boy in FIG. The boy may spend a long time searching through the bookshelves until he finds a reasonably useful reference, returning to the card catalog and returning to the bookshelf. The boy can also ask an expert librarian who is familiar with sports books in the library to find out where to find the information. Even in this case, it may be necessary to look through many books and magazines and look around many places in the library to find the information you are looking for.

Some people enjoy shopping and see the products of various stores, but many people hate the time consuming to find and purchase the best or most affordable items.

Also, even those who like shopping may not like spending time on certain items. This person did not wear a work tie on that day, but an important meeting was planned later in the day at the last minute, so it was necessary to dress up. There are various stores in this shopping mall, each selling a predetermined range of products. However, this person may search for a short time. For example, if this person has a lunch break, he must return to work immediately. You can't spend time shopping. So this person will have to rely on tools that help identify the location of the tie that he wants to buy.

This person probably uses a list of shopping streets that categorize stores with respect to the type of goods they sell eg clothing, books, household items, etc. Therefore, the best is not possible depending on the available information sources.

The electronic or digital field offers a vast amount of electronic products and services that are rapidly developing. For example, a large computer store has a variety of software products that make you dazzled. Furthermore, now music is basically published digitally on an optical disc, and video is also immediately published in this way. This is probably because the Internet and the World Wide Web provide optimal examples of environments that are particularly difficult to explore.

There are an overwhelming number of options--options that are too easy to explain or understand--many of which are very difficult to find even using various web search "engines".

The Internet is particularly exciting because it can provide almost everyone access to almost any kind of information. Information can also come from almost unlimited types of information sources. However, today much of the information on the Internet is apparent and wasteful, and if there is no significant and easy way to eliminate all but the few options, too many options are not blessings and disasters.

It will be. And the situation only gets worse. However, if tools are not developed to solve the above problems, classification is performed through the myriad containers available on millions of web pages to find containers that satisfy search or fulfill information requests.

There is no efficient or satisfactory means. Furthermore, existing information retrieval mechanisms typically do not provide an easy way to perform searches that match the underlying transaction requirements of providers and users.

For example, if you have a periodicals on auto repair and you create an article that contains information about auto repairs in Ford Bronco. These are probably available from hundreds of sources including those from new sophisticated rendering graphics programs and from graphic design offices. Suppose that due to the nature of the periodicals, it has been decided that the redistribution per part in thousands of copies should be less than one one penny to use such an image--this Low cost is particularly important because it can be reused and has other significant costs with each publication, for example, to acquire rights to other useful digital information products that enhance the readiness of a particular publication.

Because it takes. Recognize that there is no limit. In fact, the computer may worsen the process. Most Internet users may agree that trying to find an object of interest on the Internet is a waste of time. Moreover, the results can be very poor.

Due to the rapid development speed of information available on the web, the process of finding the desired information is still very demanding. It can also spend a lot of time searching for information about the topic of interest. In most cases, you will eventually find some value of information, but even today's modern computer search tools and online directories take hours or days.

In addition, even with the advent of technological advances developed by InterTrust Technologies, etc. Permitting the extraction and modification of the authoritative material would be far from attractive.

This greatly exacerbates the problem as the availability of useful information products increases considerably. One important reason is that unlike public libraries, there is no general-purpose system that provides information that matches important things to the searcher, for example by classifying or organizing electronic information.

Unlike a library, it is difficult to browse efficiently for many items on the Internet, even though the number of possible choices is far greater than the number of books in the library shelf and is electronic This is because classification systems typically do not provide much in the way of physical cues.

For example, when browsing through books on a library bookcase, the size of the book, the number of photos in the book, or the photos on the magazine cover may also help you find something of interest. Such physical clue information can be important in identifying the desired selection from library information sources. Unfortunately, most digital experiences do not provide such clues without actually loading and observing the work in digital form.

Apart from whether or not it is of interest, if no clue is provided, such as for displaying specific purpose information e. On the Internet, everyone can be an electronic publisher and everyone can configure their presentation in a variety of ways--for example, locations on a web page, configuration by their own system that guides the choices, etc. It uses visual cues of unique design aspects. As an example, a publisher may use a special purpose graphic display such as a video store to support an electronic video store.

Other publishers may use different graphic displays all at once. In fact, what makes the difference between successful and unsuccessful stores is often a unique display and choice choice support for the buyer's decision-making process.

It significantly impairs the ability of information consumers to identify the most desired option. It means that you should provide a simple tool. In summary, the lack of the ability to efficiently select from an increasing set of options can completely defeat the value of having such a vast number of options.

However, as digital and electronic information becomes more and more important, associating information with vast stores becomes a nightmare. For example, imagine a scene where a shopping aisle is a few miles away and each item on the display shelf is in a store packaged in a container of the same size and color.

In the actual store, product manufacturers put products in brightly colored and uniquely shaped packages to ensure that these products can be easily found and selected by consumers. These visual cues, for example, distinguish between private brands and individual brands, low-fat foods and regular foods, and household-scale containers and small containers.

If limited to traditional classification and matching mechanisms, all materials will be screened and commercially acceptable, i. Certainly, if each digital package looks the same, there will be some doubts about making the appropriate decisions. It is not possible to distinguish between them just by looking at them. Sometimes it is difficult to understand the explanation. Some package creators write a lot of information outside their own package, while others write a little or nothing.

If there is no universal system that everyone has agreed on to define the information to be described outside the package and how it should be formatted, the number of options that can be evaluated could be limited. Such a store would be extremely difficult. For example, there is a highly developed rights management system, such as Ginter et al.

Is expressly incorporated into the present application. Many provisions associated with any piece of digital information can be combined into a number of very different commercial relationships e. Use, redistribution, regulatory conditions, etc.

Class only or not required-ad is embedded, etc. Until now, no technology was readily available to allow efficient selection based on such criteria. This can produce many different products that can be displayed to prospective buyers configured in many different ways.

Without an efficient classification and matching system designed to handle such information, the location of a particular type of digital information can be vague and difficult to find. The present invention also adapts or assists the user in finding preferred, necessary or desired objects.

By helping users find objects that help create optimal digital products or services, they can broaden the user's world. In some fields, multiple classifications already exist, so as a consumer not only there are multiple classifications. In view of the fact that certain categories can be more reliable than other categories, it is important to be able to find what the consumer searches. For example, a Consumer Report may be more authoritative on a topic than a more informal review published in a local weekly newspaper, for example.

There are many guides in a certain place, but they may be examining different groups of restaurants. Also, while some guides rank a particular restaurant highly, one or more other guides may consider that restaurant average or even lower.

Sometimes I think. However, another consumer may prefer the former guide, because this second consumer is more likely to have a taste of these contributions than an expert. It is because it can understand that it is close to consumers' own taste. This is done by people, focusing on the results of a search for favorable reviews from travel guides rather than from local newspapers.

Sarah likes hiking, country western music, gardening, movies and jogging. Mark likes hiking, fast cars, country western music and baseball. Matching can be performed at. Next, other constant matching of facts kept for confidentiality can be performed.

Matching itself may be automatically managed in a secure processing environment under the control of government authorities. Here, the business requirements of rule-managed publishers and writers are matched to allow greater efficiency in matching, coordination of interests, and automation of electronic business processes and value chains.

In this non-limiting example, an electronic matchmaker is communicating with consumers over the Internet and the World Wide Web. Can be communicated or displayed. Harry loves sports most, but wants to know a little about what happened in the business field. On the other hand, the business field is most important to Tim, but Tim wants to know the victory or defeat of baseball.

Since the electronic matchmaker according to the present invention can learn the preferences of each of Harry and Tim and provide information to the issuer, the issuer is adapted to the newspaper or each of them. You can narrow cast other issues. A newspaper company can narrow cast a lot of sports information in the newspaper to Harry, and can narrow cast a lot of business information in the Tim newspaper.

In another example, Harry's newspaper can be created independently for Harry, unlike all other fitter newspapers that emphasize sports compared to business information. However, information that Harry and Tim want to verify or keep secret may be managed that way. The electronic matchmaker can help students find and select papers and other materials about various large felines.

The electronic matchmaker can determine, for example, that various papers on tigers, lions and cheetahs all relate to large felines, but papers on elephants and giraffes do not relate to large felines. Can be. The electronic matchmaker can help students collect this information and create colorful posters about large felines. The matchmaker may determine that objects A and C are not identical, but are sufficiently similar to be grouped together for a given purpose.

The electronic matchmaker can determine for this purpose that object B should not be grouped with objects A and C because it is quite different. For another purpose, the electronic matchmaker may determine that objects A, B, and C should be grouped together. These processes may use a specific type of information, sometimes known as rights management information.

The electronic matchmaker may also use information other than rights management rules. In one simple example, if a buyer is willing to pay a small amount to purchase an article and that small amount can be paid using a budget provided by a credit card company or by electronic money, Records may give permission to read specific news.

Only new articles from providers utilizing process information may be required, and the entire disclosure including drawings of this US patent application is expressly incorporated as expressly set forth herein. In this example, the electronic matchmaker is asking Jill to respond to computer questions about her preferences. The above questions suggest that Jill wants to keep what information authentic and which information eg, encrypted by the system can only be used for secure matching in a secure processing environment.

You may also ask Jill about whether it can be disclosed to other parties or certain specific parties. If appropriate, the answering process for the above questions may be directly managed by the secure processing environment to ensure integrity and confidentiality. The electronic matchmaker may also ask Jill if it is okay to see the records held by her computer as to what she has used the computer for in the past. Can be used to keep a history of everything we see-this process is managed using a system such as that described in "Ginter et al.

As controlled by rights management rules and controls-with or without additional details, Jill knows that he is interested in team sports, geology and sporting utility vehicles.

It can be tightened. The provider may send information to Jill about other related things that Jill may be interested in-automatically or upon Jill's request. A computer history record may indicate, for example, that in the past week Jill has only seen 3 hours of hockey information and 5 hours of football information. As an example, the electronic matchmaker may analyze the appropriate rules and criteria provided by a third party with rights in such information, which may be used, for example, by Jill's computer security processing environment.

Is controlled by The electronic matchmaker can also look at and analyze Jill's answers to computer questions that indicate that Jill likes baseball and football.

Jill can then explore and select what he is particularly interested in and wants to acquire. Collaborate with computer systems to efficiently collect rights management information.

The ability to collect historical records from many different people can be extremely useful. For example, this allows the electronic matchmaker to distinguish things that are very popular from those that are not so popular. The present invention saves a lot of time and effort.

According to the present invention, the computer can perform many tasks, and the user does not need to do it. In accordance with the present invention, users can perform large-scale work--by allowing a particularly suitable source location for certain economic activities--and large-scale work can function more efficiently.

Since the user can leave certain complex tasks to the computer, the user can be freed up to be more productive and satisfied with electronic functions. For example, the processes can learn about the user's behavior, preferences, changes in interest and even the user's personality, and can predict the user's future interests based on the user's past behavior and interest expressions.

Because these processes can ensure confidentiality and privacy, no one can see detailed information about the user without the user's consent. The present invention covers a full range of individual and business activities and allows a certain degree of basic efficiency, including automation and optimization of work that previously required considerable time, so that interest and potential sources of information Really optimally matched.

Can be done. Provide optimal usage of users, providers and social organizations. Including optimal presentation. Matching can be based on matching history, that is, matching that is at least partially derived from prior matching, but a non-exhaustive example is learning matching that increases efficiency. A function that facilitates searching using a smart agent that performs at least partial matching using at least one class.

This is necessary in order to determine the decision criteria to purchase such common stock. Function that enables. A distributed rights management environment embedded or connected to a client of an operating system in a distributed computing environment that employs rules, integrity management, containers, relationship coordination, clearing house services and trusted processing functions as described in It is ideally managed by a distributed commercial node.

Can be mentioned. In addition or alternatively, information provided based on a control set or rule and their consequences may be entered. For example, the process can be used to associate people with information, information with other information, people with other people, devices with people, devices with information, and devices with other devices.

In the preferred embodiment of the present invention, any kind of information, object or thing can be associated with other kinds of information, object or thing.

Can do. For example, what rights are available to a user, computer, data structure or other object can be examined. Also, one can look at the rights that an object has selected eg, a subset of rights that the user has chosen or otherwise specified. Alternatively or additionally, one can look at the rights exercised by the user or in relation to certain objects or others and note the results of the exercise of this right.

Any one or more attributes can be used. Or the classification may have a higher degree of certainty or definition. For example, a process may involve a particular person or thing in or out of a particular class or group based on one or many attributes or characteristics eg, living in Denver, under 25, single, Can be tested to determine if there is. That is, every person or thing is in or out of a given class or group that has no common elements. Shepard, Roger N.

Kimball Romney and Sara Beth Nerlove, Multidimensional scaling: applications in theory and behavioral science, New York: Seminar Press, , statistical methods for two- or three-way multidimensional scaling;. The present invention can use other distributed commerce utility systems and can enhance or become part of other commerce utility systems. Specifying the required pathway;. A user classifier classifies humans. The user classifier can classify people based on, for example, the following.

In this example, matching and classification utility accepts various inputs including, for example, some or all of the following. In this preferred embodiment, the matching and classification utility is configured as a commerce utility 90 as described in Shear et al. This distributed commerce utility may in particular be an integrated modular management and support service array of electronic commerce, electronic rights and transaction management. This electronic interaction supported by decentralized commerce utilities, for example, requires a variety of appliances and distribution media, and non-limiting examples of such appliances and media are available in all forms of network and other forms in the present and future.

Non-exhaustive examples of e-commerce participants include individual creators, film and music studios, distributors, program aggregators, broadcasters, cable TV broadcasters, and satellite TV broadcasters.

A distributed commerce utility may include, for example, several commerce utility systems. For example, modular support functions can be combined in different arrays to form different commerce utility systems for different design implementations and purposes. Such commerce utility systems can be distributed among multiple electronic appliances, for example, to varying degrees of distribution.

More specifically, as shown in FIG. Including, for example: can do. It's okay. An organization such as a company, non-profit group, or the like may have its own commercial transaction utility system On the other hand, the lower level commerce utility systems , , , may further delegate authority or responsibility to a particular customer, organization or other entity. You may be left in a state.

In another configuration, no matter what the daily activity of the commercial utility system commissioned from the commercial utility system 90 is, the commissioned commercial utility system 90 does not intervene at all. In yet another configuration, a more specialized commerce utility system will do part of the work and a more comprehensive commerce utility system will do the other part of the work. Clearing authority delegation may be partial eg entrust usage aggregation but not financial management or rights management responsibility and eg, place some functions within the consumer electronic appliance And may be adapted for peer-to-peer processing by keeping some other functions centralized.

In this example, the matching and classification utility system 1 , For example, the matching and classification utility system 1 provides VDE management type functionality by classifying information related to VDE deployment and its associated objects. A matching and classification utility 2 specializes in higher educational classification tasks. Matching and classification utility 3 specializes in business information related tasks, and matching and classification utility N specializes in commerce transactions.

Any of these specialities can be combined so that a single utility system can perform multiple functions or series of functions. Yes, and can be a Type B matching and classification utility system eg, 3 4 , and a Type C matching and classification utility system eg, 3 5 , 3 6 , or a hybrid, for example, a matching and classification utility system 3 5 having type A and B type functionality.

Subtype A can include open movies, old movies, and art movies, subtype B can handle magazines and textbooks, and subtype C can handle game content, office content, and educational content. Class-based search, class-based directory, class-based auditing, market research, rights management language processing, and other service functions.

The overall categorization steps of these examples are similar to each other at this level. The process begins by obtaining input data block in FIG. The process then assembles the data matrix and applies the selected classification method to the data matrix blocks , in FIG. In addition or alternatively, other data reduction methods may be used block in FIG.

The resulting attribute data may be accumulated and aggregated to form a composite record that is used as input to the classification process. This composite record may include usage data obtained by monitoring audit information generated by various usage transactions. Composite record may further include attributes of a particular electronic appliance device. In this particular example, the process selects variables and cases FIG.

Next, a conventional cluster analysis is performed FIG. Step can be performed automatically or manually, or a combination of automatic and manual processing can be used. Finally, individual cases can be assigned to individual clusters to complete the classification process FIG.

In the example of FIG. More examples may be defined than the class examples shown in this figure. Class 2 members tend to show religious preferences, and within these religious preferences, Protestant denominations are picked up more often. Class 2 members will use the Internet but tend to use the Internet as part of their work roles and responsibilities rather than as entertainment, hobbies, and other leisure activities.

Instead, the parameter data may indicate the degree to which the object has one or more characteristics, attributes, or class features. For example, a human may be assigned to class 1 referred to as a cosmopolitan class or class 2 referred to as a parochial class as shown in FIG. It is arranged in a matrix of cases rows x variables columns. Components with eigenvalues greater than 1. After rotation, each case was assigned a score for each of the retained and rotated components. Each score represents the degree to which each case has the characteristics represented by the component.

The virtual data of FIG. It shows. The score indicates that the higher the score, the more example case 1 has more basic components 1 than case example 3 whose score is close to zero. The component may be bipolar with respect to the zero point and the case that may be positive, negative or zero. Fictional Case Example 5 has a negative score for this component.

In this example, electronic appliance may have specific information associated with it. For example, VDE administrator may initialize appliance using specific information during appliance installation. As shown in FIG. The information to be collected depends on the purpose and use of the collation and classification utility using that information.

A matching and classification utility may use a data directory or other mechanism to specify the desired type of appliance information that the matching and classification utility is to collect. For example, the desired information may have already been collected as part of the previous process.

If the appropriate method in all of these processes has already been sent to the VDE device, only the relevant management events necessary to activate this method need be sent in the VDE container.

Alternatively, if the desired data is not already available FIG. Perform other steps. The next step FIG. If this operation is successful FIG.

Data may be collected directly from the electronic appliance by sending to the electronic appliance a VDE container that includes one or more management events associated therewith FIG. The appliance may then send a VDE container containing appropriate management events and appliance attribute records to the matching and classification utility FIG.

An example of this method as described above may be performed by the matching and classification utility , the VDE administrator , the electronic appliance , any other electronic appliance, or any or all combinations thereof The site configuration record corresponding to the electronic appliance whose appliance attributes are to be collected for that electronic appliance is located FIG.

This site configuration record may be stored, for example, in an electronic appliance safety database. Next, the method finds a permission record for the site configuration record FIG. If the method does not have proper authorization FIG. Write FIG. On the other hand, if the method is authorized to use the site configuration record FIG. The field may be duplicated and then an appropriate audit record written FIG.

This user configuration record may be stored, for example, in a security database of the electronic appliance. Next, the protected processing environment locates an authorization record for the user configuration record FIG.

Field may be duplicated and then an appropriate audit record may be written FIG. The method may then create a new permission record corresponding to the appliance attribute record, if necessary FIG. If a new authorization record is needed, the above method may use appropriate "shared secrets" to provide criteria for controlling access, use and modification of the authorization record, for example.

In this example, the matching and classification utility first identifies demographic data targeted by the utility FIG.

Next, the matching and classification utility determines whether the necessary data is already available to the utility eg, based on previous questions answered by the user 95 FIG. If the required data is already available FIG. This other commerce utility 90 may determine whether the required demographic data is available FIG. If this information is available FIG. Then, another commercial transaction utility 90 may send one or more appropriate management events in the container and demographic attribute records to the matching and classification utility FIG.

The container may be sent to the matching and classification utility along with a management event to inform FIG. Along with the event, it may be sent directly to the user 95 from whom demographic data is collected FIG.

If the required data is not collected FIG. May be used to process one or more events and write an associated audit record FIG. The electronic appliance may then send one or more containers with matching management events and demographic attribute records to a matching and classification utility FIG.

In this example, information is collected directly from the user 95 by displaying a questionnaire on a display device that is part of the user's appliance For example, by disclosing rules related to access and use of information, the questionnaire may assure the user that all of the information provided by the user is to be treated as confidential information.

Match and classification utility determines whether the required data is already available FIG. Can be sent to an appropriate repository that may contain the necessary data FIG. One or more events are processed, and the match and classification utility generates an appropriate attribute record containing the attribute information of interest FIG.

This information and associated one or more events can be sent to the match and classification utility in one or more containers FIG.

Figure 30, block In response, the device uses the method to process the event, and the method can write the associated audit record FIG. The rule attribute record is sent to the match and classification utility see FIG.

The steps shown in FIGS. In this example method , the match and classification utility first checks the associated permissions to see if it is authorized to perform the desired transaction FIG.

For example, the match and classification utility examines the authorization record for the collected authorization record, and this examining authorization record indicates which entity is authorized to perform the operation on the authorization record that it analyzes. If the match and classification utility has the appropriate permissions, it opens the permissions to analyze FIG.

For example, information from the authorization record header can be copied to the attribute record FIG. The process can then recursively detect and harvest data from each method header contained within the rights record blocks , , , FIG. This process recursively repeats steps for each entitlement record in the authorization record Figure 35B as tested for it by decision block Finally, the entire process of steps is recursively performed on multiple authorization records to harvest appropriate rules and result information from each of the multiple authorization records see decision block , FIG.

In this example, the process looks for a permission record for which information is desired FIG. If there is no authorization record controlling that authorization record and assuming authentication or additional authorization is required to access the authorization record to retrieve information Figure 36, "no" exit of decision block , The process reports a failure, writes an audit record, and ends Figure 36, blocks , , On the other hand, if there is an authorization record that controls access to the authorization record to obtain information FIG.

Judge whether to make it possible. The attribute record shown in FIG. It includes a field d , yet another rights ID field e and two corresponding method attribute fields f, g, yet another rights ID field h and corresponding method attribute fields I, j. The device then processes the event using the sent method, and the method writes the relevant audit information while processing FIG. Write the corresponding audit information in the audit trail Figure 39, block On the other hand, if an error condition occurs because the URT record is not available or the method cannot be completed successfully for some reason, the method sends a failure notification in the container and writes the associated audit record decision block The method begins by checking the associated permissions for the user rights table record FIG.

Figure 40A, block and later. In this particular example, the method detects a user rights table record block , FIG. The method copies the rights record header information to the attribute record block , finds the rights identifier, and copies it to the attribute record blocks , The method then recursively finds each method header in the user rights table rights record and copies the corresponding attribute information to the attribute record blocks , , , FIG. Block , see Figure 40B.

Further, steps are recursively performed for each user rights table record in the user rights table see FIG. As an example of the last step, the method creates a permission record that controls access and use of the created attribute record FIG. For example, the sequence of steps begins by looking for a corresponding authorization record FIG. When doing so, a permission record if any can be accessed for use of the user rights table block , FIG.

The example of the rights attribute record in FIG. A more detailed rights attribute record shown in FIG. Block , FIG. Can be obtained block , FIG.

The method can determine whether audit records are available in this process FIG. On the other hand, if audit records are available, the method creates management events associated with the corresponding usage attribute records, packages them into container , sends the container to match and classification utility , and writes the corresponding audit records.

In this example, the method first looks for an audit record in a secure database or other storage facility FIG. The method then selects the appropriate UDE audit record for analysis Figure 45 A , block and determines whether the authorization record that applies to this particular audit record is available Figure 45 A , decision block If the authorization record is required and not available, the process reports a failure, writes the associated audit record, and exits Figure 45, blocks , , A determination is made decision block , FIG.

If such a permission is not available decision block "no" exit, Figure 45A , the process reports a failure, writes the associated audit record, and exits Figure 45A, blocks , , If multiple audit records need to be aggregated for analysis decision blocks , , Figure 45A , the process analyzes these audit records together and creates a corresponding transaction information summary Figure 45A, block For example, multiple operations can be performed on an object.

It is important to know statistics about such operations eg, the number of times an object has been opened on a certain day, the number of users who have opened the object in a certain period, etc. The process then determines whether further audit records need to be processed decision block , FIG.

More detailed example attribute record in FIG. And associated method attributes g, another rights ID h and associated methods I, j, and associated additional attributes ko. The characteristics shown in fields ko can be derived, for example, from an aggregation of any number of individual audit records that recorded individual transactions associated with the object identified in field Can be made easier.

The example of FIG. To collect. Send all or part to match and classification utility Rights management information can be included without limitation.

In FIG. A VDE container is sent to the content provider along with the request. As a result, the user does not have to eagerly search for content of interest. Classification methods well known to those skilled in the art can provide a quantitative indicator of distance that can be used as at least one selection criterion. It may be based in part on class assignment based in part on information about user preferences requested by chain participants.

Supports providers that at least occasionally send content that is far from relevant to the user's obvious interests to determine if it is slightly larger than the circle in question. For example, the match and classification utility can send a VDE container with the appropriate user and content class information so that User A receives content similar to the content used by other members of the same group or class as User A.

Can suggest. In one example, the match and classification utility can suggest sending business information related to a particular vertical market segment because other people in the same class as user A are paying attention to that market. Can be matched to one or more content sources of the required class. You can have service software The messaging service can also broadcast the VDE container to one or more other customers To increase efficiency in finding content that is of interest to subscribers or other participants, Match and Classification may have created such a class definition and assigned one or more content items to that class.

In one example, match and classification may send one or more methods in a VDE secure container and the management events required to invoke the method to one or more container sources , where the classification method may have been executed.

Such a method can, for example, assign content items to one or more classes. If the match and classification utility has not previously created the desired class and assigned items to it in response to a request from the subject switch , the match and classification utility will have one or more of these This can be done using an appropriate combination of such classification methods and procedures.

The match and classification utility can respond with information indicating a known source of information for the desired class, if any. In another example, the content source may broadcast information and allow the subscriber's messaging service to access such items from the broadcast. The content source calls the messaging service , packages the item in the VDE container with the relevant rules and usage results using the VDE secure node, then sends the container to other devices 1 - n One or more messaging services listening may receive this.

You can identify what you belong to, open a container with a VDE node, and see or use the item according to the associated rules and usage results of the item.

Using the messaging service , each subject switch can communicate with the match and classification utility to find the source of content that matches the class to subscribe to.

In this example, subject switch on the local device then uses messaging service to communicate with one or more content sources that indicate the content classes that it wishes to subscribe to. In another arrangement, the content source can improve the efficiency of distribution and rights management by sending applied rules and usage result sets to members of one or more item classes.

In this example, the messaging service and subject switch listen to messages for customers who subscribe to a particular content item class and use the application to make these items available to the customer.

Can act as a service provider with a union of websites and central and possibly regional and district market-based etc. Can be realized. In another example, other information can be used as a basis for classification, matching, and selection. For example, the matching and classification utility can use content from categories 1, 11, and 15 to DBN Server 1 1 The VDE container 2 can be sent to the content source 1.

This content is sent to one or more consumers in VDE containers 1 , 3. Of course, in this example, the DBN server is not provided with a replacement of good-selling hard goods, but is replenished with an intangible of the same or similar class as the sold intangible.

In another example, the DBN server can send the classification data to the content provider with a request to send more of the same. Requests are sent independently of class information. Certain classes of content can be distinguished from other classes of content by price, payment method, opportunity of use printable, pay-per-view, etc. The match and classification utility can then send a communication to the provider, possibly via a VDE container, indicating that it will send one or more specified classes of content to at least one DBN server.

In another example, other information can be used as a basis for classification, matching and selection. In one example FIG. Administrative events and methods are handled under the control of the VDE node. There may be a strong incentive to exploit the present invention by operating a distributed matching and classification utility to provide a classification service. A company may also operate internally one or more commercial utility systems, possibly including a financial clearinghouse , a use clearinghouse , and an alignment and classification utility A company can also operate at least one content server These commercial utility systems and servers are connected to the corporate intranet as well.

Company also maintains one or more connections to the Internet At least a portion of this usage information can be transferred to the enterprise alignment and classification utility Can also be collected. Budget and financial information may come in part from the financial clearinghouse Assign to a subject category. It is thought to indicate the group of employees to share. Allows the consequences of rules and usage to be given independently under control.

Publishers may have rights in various content and content types. Thus, the publisher can create new rules for text objects that can be different from the rules for audio objects. In one example, the first creator gives the consumer a rule to charge a 50 cent charge once to open and view the creator's image. These creator rules and use consequences are generally given in a manner independent of the rules and use consequences given by the publisher.

Note that the VDE container now holds at least the publisher rules for each object class, the image of the first creator and its associated rules and consequences of use.

As with the first creator , she adds her text and rules and consequences of use, generally independent of the control given by the preceding participant. Class-based rules and possibly other rules. When a consumer uses content, the rules and consequences of all three value chain participants and also other possible participants such as distributors and repackages, for example apply. This shows that there is a possibility that the VDE container has been sent together with the result.

One rule can also be assigned. Rights and authorization clearinghouse returns VDE container with the rules in the requested class. The first creator uses the package application to package its image with these rules plus rules and use consequences that reflect its rights and wishes, and to the second creator VDE container is sent.

Rights and permissions clearinghouse returns VDE container with the rules and consequences in the desired class. Second creator uses package application to determine that it is a creator authorized by publisher ABC and proceeds to add its text object and its rules and consequences to VDE container Examples of these industries include direct marketing, advertising, yellow and white page directories, directory directories, and various electronic and paper group membership lists and occupational directories.

The non-limiting example shown in FIG. Class assignment information is shown in the bottom four lines of the directory record 1 for one individual. The required class can be any class defined by one or more attributes, including non-exhaustive examples of rights management information including price, accepted payment methods, authorized operations, instrumentation and privacy controls.

It may be based on a usage profile that includes. To members. Example FIG. These preferences can be determined, at least in part, based on management management.

In a circuit query sent in a VDE container from a travel agency requesting interest and preference information, the matching and classification utility may identify the VDE container with identification and class information.

Information about surfing in Hawaii can be sent to the consumer n. The recipient can also send a VDE container to the travel agency indicating that they have agreed to purchase the offered package, or request additional information or price, departure date You can also negotiate terms such as insurance. These negotiations can be performed using the invention described in Ginter et al. Information about certain classes of goods and services may be distributed to certain people, groups or entities based on the recipient's class membership.

The trading company can then send a VDE container to the match and sort utility with a query asking who can supply the desired item, also under the conditions contained within the container. Since these terms can be subject to negotiation, they may be formatted to lead to VDE-based negotiation as described in Ginter et al. You may have received a set. Based on the request from the trading company and the resulting supplier information , the alignment and classification authority may in this example have the suppliers A A and Z N requests of the trading company.

Returns a VDE container indicating that goods within the class s defined by can be provided. Next, trading company sends at least one VDE container to buyer A , indicating that it intends to sell to buyer A the previously requested item under the enclosed conditions. In another example, there may be several VDE-based see Ginter et al.

Example , FIG. Alignment sending VDE container with administrative events and methods as described in Ginter et al. To classify paid-up capital related information including data, forecasts, risk management information, options and future prospects And a classification station One element can also be assigned.

Based on this and other information, trader can move forward and enter an order for at least one trade in at least one stock In another example, a trader may create or acquire a new method of buying and selling automatically on a class of securities. The matching and categorizing station applies one or more methods to the data to control at least one class definition , possible trade assignments for that class and who may view the information. And related control set information such as control to prevent unauthorized modification of information.

The matching and categorizing station can also return a method for performing the sale. In another example, the alignment and classification authority may be instructed to send a trade order directly to the market for execution. In another example, the merchant can send a VDE container requesting the alignment and classification authority to send some information to at least one source of related information. Can also benefit. The alignment and classification office then determines which bank s meet the stated criteria of the consumer and then VDE with the answer, which in this example is banks A, B, and C Container is sent to the consumer.

The consumer then moves on to the bank identified by the matching and classification utility offering a higher interest rate while guaranteeing maximum privacy for this and possibly other transaction. For example, it is possible to transfer funds from one bank. Requesting that the VDE container be sent to one or more banks.

The bank can send controls to ensure the privacy of subsequent dialogue with consumers. For example, controls that are applied to audit records in such a way that only banks and consumers get permission to access it. The invention and VDE finally provide a way to reliably reward the effort spent in creating new software.

Buses are the cheapest way to get to and from Hong Kong International Airport, and the "A" routes are the most comfortable among all airport bus routes. Relation Bus 22 Members members. Each member of our community honors student's uniqueness where race, ethnicity, language and gender are assets in their learning process. Sunday northbound southbound. Where doubt exists as to the eligibility of a child for a reduced fare, it is the responsibility of the passenger claiming the child fare to produce evidence of age.

Child tickets are valid for children under the age of We are offering microbus and bus up for 74 sitting places Our proposal. Close map panel. On the go? Additional information: 22 has 26 stops and the total trip duration for this route is approximately 25 minutes.

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