KR20000063771A - Bookmark search and support service by popularity ranking using push technique - Google Patents

Abstract

PURPOSE: A method for searching and supporting a bookmark with a popularity rank using a push technique is provided to enable a user to obtain the desired information related to an address of a web site via the internet, and to make an internet search possible based on descriptions of the bookmark under an off-line state, by displaying the bookmark having the popularity rank on a current window. CONSTITUTION: The bookmark file that includes a desired category can be transmitted to a recommended person(101). The bookmark file transmitted via a server is sent to the browser and the program in a client system of the recommended person(102). It is determined if the bookmark file that is received and displayed in a program interface is admitted in a client program of the client system(103). The push technique is used in order to receive the bookmark files which are not admitted due to limitation, from an internet address database for each category(104). A banner advertisement and an advertisement of the recommended bookmark file is provided according to an advertisement fee(108) of an advertisement owner(109).

Description

Bookmark search and support service by popularity ranking using push technique {.}

We use bookmarks, also known as bookmarks, to help us find a site again once we find it. In the following description, the bookmark will be referred to by the same name. The bookmark contains an address value and a brief description of it, which allows us to look at the contents of that address. There is a server push, or push technique. This is the first attempt by Point Cast (http://www.pointcast.com), which allows users to continuously receive information through the web, such as TV, through the channel of their choice. However, the channel can be selected by the client-side user. In addition, the push method ends with a single contact with the site when connected to an arbitrary site, but the push method allows the user to continuously receive some information by connecting like a TV channel. Something like a movie with a large file size can be taken over the Internet and viewed when the user wants it. In fact, what is called a push technique is a polling method in which a client checks a server and retrieves data. In this case, the conventional bookmark has a disadvantage of having to bookmark every time through the user. Also, if you look at the search site, the search site is not a popular ranking site. There is a so-called ranking technique by the user, which researches how the search engine indexes when creating a homepage, and ranks as the top of the search page when searching. There is a case to come. And when you search in the search engine, the exact search is not made. For example, a person who wants to travel to "Paris" hits "Paris" to search for everything from the ecology of Paris to how to breed them. That's because they didn't apply the surfing interests and habits of different users. Reflecting this surfing interest, travelers would search for "France Paris" and biologists would search for "the ecology of Paris."

When surfing the Internet, the conventional method is to recognize the address, so the user enters a URL to access the Internet address in the browser's address bar or finds a part of an indexed web page through a search engine. And to access a site you've visited once, you'll have to hit the address again or re-search through a search engine to find the indexed part. In this case, bookmarks are made for easy access. Why don't you send the bookmark files divided by categories (classification) to the client-side program user's system in the order of popularity? The bookmark file created by an existing bookmark contains only an address and a brief description. However, in addition to the variables that can contain addresses and short descriptions in this bookmark file, there are a few more variables for each address, and two variables for each category. It will be downloaded without searching. In addition, it provides various information by using the variable values to suit the user's taste, and the advertisement window and related sites provided in the displayed window, which is one of the embodiments of the present invention, so that the user can surf the Internet more easily and conveniently. do.

In addition, bookmark files recommended by friends and customers can be stored in the user's selected location and the designated location of the recommender. The bookmark file received from the recommender will appear with a certain mark in the related site window when searching for this file and the related address. The present invention is to remove the inconvenience of memorizing or rewriting the address in the convenience of the search through the bookmark and recommendation of the Internet site so that it can be easily recommended.

Fig. 1 Relation diagrams of the partial views of Figs. 2 to 9 except Fig. 6

Drawing 2 Bookmark File Recommendation

Drawing 3 Receive Bookmark File

Drawing 4 Bookmark File Push Method Download Section

Drawing 5 Advertising and related sites

Figure 6 Variable Part

Drawing 7 Recipient Bookmark File Receive Window

Drawing 8 Advertising & Related Site Screen

Drawing 9 Advertiser Deposit

Definition of language used in the present invention

Category (sorting): We've seen the classification of general search engines in the category attachments. There are category menus that are displayed first when accessing the site (Excerpt 1). However, among them, click the category Computer and Internet to enter the first category (Excerpt 2). Click here to see the addresses. If you click on the one with @, another category will appear in it. The categories inside this primary category are called secondary categories, and the other categories that appear when you click @ and enter are called tertiary categories.

hot: In the present invention, the data recording the variables recorded in FIG. 6 is called hot. The surfing data recorded in the variable shown in FIG. 6 of each user is called minihot, and the surfing data of the entire user is called bighot.

LB: Each limited bookmark that can be bookmarked in the final category Basically, the final number of files that can be bookmarked in the bookmarked final category, which can be adjusted according to the user's interest and taste on the Internet.

This is to prevent the situation where the bookmark itself is flooded or the system is burdened by receiving a certain number of times specified by the user, instead of receiving infinitely when the bookmark address file is automatically transmitted from the server by the push technique.

Also, like categories of search web pages, categories and addresses may exist in the same location.

B: Number of each file currently bookmarked in each category (Bookmark) This refers to the number of files currently bookmarked in the user's bookmark final category, which may be less than or equal to the current number of bookmark files. If this value is automatically bookmarked, the push bookmark action is automatically stopped when the value is equal to the value of LB. When the bookmark space is needed by the user's manual bookmark, the LB automatically creates as much as the manual bookmark request space. LB = LB + 1).

LV: LV limit clicks dimension (Limited visited)

V: The number of times you clicked each bookmark file to access the schedule site. In other words, LV is a standard for automatically deleting sites that are not popular with users among the bookmarked files and setting a new address. V can be larger than LV, and only if V is less than LV is to delete old unpopular bookmarks and receive new addresses. In this case, when the user bookmarks manually, the address variable space is dynamically generated, and it indicates whether the manual bookmark or the automatic bookmark by the push technique prevents the manual bookmark from being erased.

Bookmark file: Traditionally, a file containing an address value and a brief description that can be run as a bookmark in the browser. However, the bookmark file described in the present invention is a bookmark file including a variable that is defined in FIG. 6 and a detailed description thereof or that is dynamically generated and destroyed.

Filtering: The process of bookmark file being pushed to subscriber's system through hot process below, and sending non-subscriber general information about the site you are going to. Unlike information, filtering uses a language in the sense of providing advanced information. You can think of the process of filtering the filter in order to drink the so-called clean water.

Distinguish user's interests of LB and LV as described above, personal popularity sites based on V-values, and reflect the interests in advertisements based on this information. Ordered bookmark files are sent to each bookmark category. In addition, the user's surfing information is more advanced according to the individual click value to provide the user with advertisements and related sites.

Random Mode: This is the same as Korean for 'randomly'. Programming can also process data in random order and not in any order. However, the reason defined in the present invention is that the service is performed based on the subscriber and the non-subscriber base. The subscriber refers to a process of providing the general information of the advanced information by mixing with the address of each category described later in the server before transmitting the information by hot, which is the advanced information provided to the subscriber and provided to the subscriber, to the non-subscriber.

Drawing 1

FIG. 1 is a diagram illustrating a relationship between partial drawings from FIG. 2 to FIG. 9 except for FIG. 6.

[Step 102 = Fig. 3] and [Step 104 = Fig. 4], [Step 105 = Fig. 5] basically proceed simultaneously and step [102] = Fig. 3 at any time by user selection. Can be executed.

In step 101, Figure 2, the recommender may designate a person to recommend and send a bookmark file including contents related to the desired category. The bookmark file sent via the server is sent to the browser and the client program of the client system of the bookmark recommender in [step 102 = Fig. 3]. The recommended user here browses the bookmark files received in the program interface displayed in [step 103 = Figure 7] and decides whether to allow them as bookmark files to browsers and client programs in his client system. . [Step 104 = Fig. 4], the push method uses the push method to extract the bookmark file which is insufficient for the user-specified bookmark from the Internet address DB for each category of the server in each category in the user's system. Can be sent.

In step 5, the file recommender's file is included in the related site, the advertisement, and the category recommended by the bookmark file recommender or the category provided by the embodiment of the present invention. You can browse the files sent by the recommender by icons and coloring. [Step 106 = Fig. 8] is an interface through which the user browses [Step 105 = Fig. 5] in the actual embodiment. The display of the banner advertisement and the recommender bookmark file displayed here (icon and coloring method, etc.) is made by the advertisement request fee deposit 108 of the advertiser 107, and when the deposit is not made after the advertisement request step 109. As shown in the figure, an E-MAIL for sending a deposit is sent.

In the following description of the drawings, the process ends after a certain number of steps and proceeds to another number of times, which is a description of the relationship between the actual drawing and the convenience of the description. You will have the same relationship.

Drawing 2

2 is a process in which a site recommender sends a file generated as a bookmark file along with a category to a site recommendation recipient. Also, the recommendation process of FIG. 2 and the recommendation process of FIG. 3 are related to each other, and the recommendation process and the recommendation process are provided on a subscriber basis.

In step 201, the recommender selects a bookmark recommendation function using a keyboard and a mouse, and the recommender enters the category of the bookmark file to be recommended on the recommender execution area screen of the client program and enters the desired site description of the displayed bookmark file. Can be specified with the mouse.

In step 202, the recommender specifies the ID and email address of the person to be recommended. If it is specified by ID, it will be displayed as shown in Figure 7 on the screen of the client's recommended recipient's execution area, and if it is sent by email, it will go through the advertisement DB of the company corresponding to the domain of the recommended address. If it is not in the advertisement DB, it will be sent along with other advertisements.

In step 203, the recommender writes a description of the purpose of the bookmark file separately from the title tag portion of the html grammar of the Internet page. This will be displayed in the usage section of FIG. In a preferred embodiment, what is displayed in the description portion may be a portion read from the recommender's manual input and title tag.

In step 204, the category information set by the recommender and the information of the corresponding address are transmitted to the server, and the address value, the designated category click count information of the recommender, the description part and the usage part of the site are transmitted.

In step 205, whether or not the address received from the recommender from the recommender to the server is part of the domain.

For example, if http://www.yahoo.co.kr or http://www.yahoo.co.kr/index.htm is the domain part, index.htm, main.htm, default.htm, etc. Can be recognized and performed.

In this case, step 207 is reached. In the case of http://www.netian.com/~emidyeon/htm, it is determined that the domain is not part of the domain and the process proceeds to step 206.

In step 206, a long address such as http://www.netian.com/~emidyeon/index.htm is stored with an address of http://www.netian.com which is automatically generated by the server. .

In step 207, a recommender mark indicating the recommender bookmark file is added to the addresses thus obtained. In this case, when the recommendation recipient clicks on the bookmark button in FIG. 7, a bookmark recommender mark is included when displaying the bookmark of the browser. The mark of the recommender's bookmark is displayed by coloring method and icon according to the advertiser's deposit.If the deposit is confirmed, the server can solve the coloring method of the user's bookmark file with the recommender mark in the client program, support coloring or add an icon, etc. The fund will be funded in a way.

In the following description, when the ID is confirmed in the operation of FIG. 5, the server detects the content of the recommender mark and the user is included in the related site pop-up window due to the visit to the site related to the recommender mark. Will be added and displayed.

In step 208, the user's number of bookmark clicks is read and marked as important and the data stored therein. In step 209, when the Internet connection is confirmed by the client program, the server pushes the data sent by the recommender using the server push method in step 210, and transmits the contents to the client program in the system of the recommender. When the user's request is displayed as shown in FIG.

The step of FIG. 2 is closely related to the step of FIG.

Drawing 3

In FIG. 3, when the user who has received the bookmark file is referred to by the client program and checks whether the user accesses the Internet, the process proceeds to FIG. 3. The recommendation process and the recommendation process are provided on a subscriber basis.

Step 301 is a process of confirming whether the subscriber through the client program through the membership authentication. If not, this proceeds to the end of FIG. 3 and if it is a subscriber, step 302 is performed.

In step 302, the client program internally checks whether there is a file received by the server by a push technique, and proceeds to step 304. If there is a request from the client program user to receive the received file before step 302 is performed, the client notifies that the step 303 is not performed and immediately sends a signal to the server to request the file to be transmitted.

In step 304, the file received from the server by the push method is stored in the client system, and then automatically checked for a match with the bookmark file in the user system and whether there is a similar bookmark file. In FIG. 7, the function may be activated through a menu and the like may be further examined.

In addition, if there is a matching file and a similar file, the category location is stored and displayed on the screen when the user requests.

In step 305, if there is a request for a recommendation bookmark file from the user, the process proceeds to step 306. If there is no request for a recommendation bookmark file, the process proceeds to the end of FIG.

In step 306, the recommendation mark is displayed as shown in FIG. 7, which can be divided into three cases. If there is an existing bookmark file with matching address and there is a recommender bookmark file marker, the process is performed through step 307. If there is a bookmark file with matching address and there is no recommender bookmark marker, step 312 The subsequent operations are performed via), and the subsequent operations are performed via the recommender mark step 315 when there is no bookmark file.

After step 307, step 308 examines whether the category sent from the recommender matches the category in the recommender's existing browser. If the categories match, the process proceeds to the end of FIG. 3, and if the categories do not match, the process proceeds to step 309. In step 309, the limit bookmark value of the category to be bookmarked is compared with the size of the bookmark file currently included in the category. As a result of the comparison, when the number of the limit bookmark files is larger than the number of nested bookmark files, the process proceeds to step 311. When the number of limit bookmark files is less than the number of nested bookmark files, the process proceeds to step 310 to determine the number of limit bookmark files. Will be automatically adjusted by the client program. Thereafter, if the bookmark file can be automatically added to the recommender designation category and the service provider designation category, in step 320, it is added.

After step 312, in step 313, the recommender client program user decides whether to add the recommender bookmark mark. When the recommender clicks on the bookmark button, the existing bookmark file automatically checks whether there is a category other than the recommendation category and the service provider designation category, and then adds and saves the recommender mark.

If there is no bookmark and there is no recommender mark marker, in step 317 the user is asked to bookmark in step 316 via step 315 and then stored in the category and service provider designation and recommender designation category that the user wants to specify. LB> B, i.e., if the limit bookmark file of each category is larger than the bookmark file currently contained in each category, the process proceeds to step 319 if large and to step 318 if small. The bookmark file is stored after increasing the limit bookmark file number (LB). After that, the user stores it in the desired category. At this time, it is also automatically stored in the recommender designated category and the service provider location. If the manual bookmark is bookmarked at 319, a permanent bookmark variable is acquired.

Thereafter, after storing, the drawing 3 ends. Thereafter, the process of FIG. 4 is performed.

Drawing 4

FIG. 4 illustrates a process of pushing bookmark files in each category of the server to the same category in the client program by a server push technique. In the case of a subscriber, a process of providing the subscriber information through an advanced information filtering process differently from a non-subscriber is provided. . 4 refers to the definitions for LB, B and LV, V recorded at the beginning of the configuration and effects.

Step 401 is a branched portion for performing service discrimination and other tasks of members and non-members, step 402 is a 1) information of the variable in Figure 6 to provide advanced information through filtering of general information from the member And 2) a process of detecting and transmitting the information to the server, and step 403 is a process of detecting and transmitting the information 2) shown in FIG.

In step 404, a comparison operation is branched between the limit bookmark number LB of each category and the number B of bookmark files included in the corresponding categories. If LB> B, then go to step 405 to get more files, and if LB = <B then go to step 406. Assuming LB> B, up to five bookmarks can be placed in this category (LB). If we assume that the number of bookmark files in the category is three (B), we will still receive two more bookmark files. If so, the process proceeds to step 405 to obtain more bookmark files. If LB = <B, the reason for proceeding to step 406 is, for example, that the user has specified that only five bookmark files will be included in this category specified for automatic bookmarking by the push technique. Because it is checked with dog.

For this reason, when BL> B, the process proceeds to step 404 through step 404. In this step, BL-B is calculated for each category to detect the number of bookmark files that are insufficient in each category. The number and category of insufficient bookmark files detected are sent to step 409 and stored, and this value is added to step 409 and the value detected in the step 406 through step 408. If BL = <B, too, there is a lack of space to store B, which brings a limitation of the automatic storage capacity by the push technique. Therefore, automatic bookmarking by the push technique is no longer performed in a category that reaches the limit.

In step 406, the number of limit visits (clicks) LV for each category is compared with the number of clicks V, which is the number of times of access to each bookmark file, that is, each site server that is a bookmark file. The value mentioned here does not mean that the actual V cannot be greater than LV. Only the value of LV is to decide whether or not to delete the address and its corresponding variable value according to the LV> V during the automatic bookmarking by the push technique when V is not greater than the value of the designated number of visits (LV). For example, in detail, LV> V when the user designates LV as 3 means to delete the address value and the corresponding variable if the user has not visited yahoo.co.kr more than 3 times. <V means that you have visited more than 3 times and that is important or interest address for users of the program. In other words, this is a task defined by the user for the deletion by the automatic bookmark using the push technique.

In short, step 406 is a process of detecting the file to be deleted and the category location of the file to be deleted. In this step, a manual bookmark variable is included in the manually bookmarked file. The manual bookmark variable is excluded from the detection. If it is not a manual bookmark, the flow proceeds to step 407. In step 407, the category value and the count value of the bookmark file of the detected category are stored, and the variables are sent to a trash bin in the client program (same concept as the trash can of Windows) and colored under the bookmark located at the bottom of the category. Or prepare a space represented by an icon or the like.

In step 408, these deleted files fill the empty spaces in the original location order of bookmark files in that category. After this step 407 and 408, only the address values and variable values (variable values corresponding to the LV> V address you specified) for the existing unpopular site are erased and filled in at the bottom. An empty space is provided by a method of the icon, that is, a new symbol is displayed or colored.

In this way, after passing through steps 407 and 408, data about the deleted category value and the number of erased data is sent. At 409, the value is received, the LB-B value for each category and the categories are collectively collected and transmitted to the server. The server then works on a series of processes from step 410 to 412 based on this number value at the same time.

This is followed by step 410. In step 410, each category requested by the user and the number of each file are detected. In a subsequent step 411, the category of the users (LB having the largest LB) and the category of the users with the most click values in each corresponding category are extracted among the total subscribers.

Subsequently, in step 412, the click values of the respective categories of the detected users among all the users are collected and arranged. That is, a user can receive a popular site from each site (sector) main visitor experts (so-called information experts) measured by the number of visits for each category from other users.

Subsequently, in step 413, the service of the member and the non-member is discriminated. In the case of the member, the information obtained in step 412 is transmitted to the user as it is. In step 414, a filtering operation that randomly mixes with other addresses in the same category is performed to collect general bookmark files in categories that are not in order of popularity. Thereafter, if the non-member proceeds from step 414 to step 415 and transmits to the user client program. The member hwjsthd the client program directly through step 415 with advanced information through filtering (hot). In step 416, the user client program sorts the received addresses by category values, and positions are filled with address values and other variable values in the space left in step 408 for each category.

In step 417, it is checked whether the number of bookmarks requested in step 409 has been filled, and if all are filled, the process proceeds to the end of FIG. 4, and if not, the corresponding category value and the missing number value are collected and arranged in the program. Proceed to 412.

Figure 5

Non-subscribers or subscribers also go directly to the beginning of FIG. 5-1 unless they require the work of recommendation bookmarks such as recommender bookmarks, viewing of recommended bookmarks, and other optional confirmation items.

In FIG. 5, when surfing through a bookmark, a process of viewing advertisements and recommendation sites, reserves, and bookmarks in a predetermined area of a screen next to a site to be accessed by a user is illustrated.

In step 501, the user's surfing through the bookmark is started. In step 502, the service contents are divided into members and non-members through a login process in the client program and the homepage.

I will separate the case of non-members and members.

In the case of a non-member, the process proceeds from step 502 to step 503, and in step 503, an advertisement corresponding to the category accessed by the user is displayed while going through the advertisement DB server. Subsequently, the process proceeds to step 504, where sites corresponding to the category are collected via the related site DB server. As described in FIG. 4, since the access of the hot DB is not allowed due to the random method or the exclusion by the initial membership authentication, the related site is also a related site of the category and is not a popular site order.

Thereafter, in step 505, an advertisement including an advertisement and a related site is displayed in a pop-up window or a predetermined area of a program. In step 506, unlike a subscription member, it only provides a path through a link to a clicked site regardless of whether the advertisement is popped up or clicked.

Pressing the bookmark button in step 507 may proceed to manual bookmark. In the case of manual bookmarks, the user accesses by designating a category to bookmark. When the user presses the automatic button after setting the automatic bookmarks and the bookmark button, the user has accessed the first category, the category desired by the advertiser, and the implementation of the present invention. Bookmarks are made to a designated category or the like. At this time, or as a result of step 508, if LB = <B, the logic of LB = LB + 1 automatically increases the maximum number of bookmark files that can be included in each category as necessary through the bookmark button. Thereafter, the process proceeds to step 510 where the bookmark is placed. In the case of LB> B, it is just a bookmark.

In the case of the member, in step 501, the category information for providing advanced information from the service after access from the bookmark is obtained, and in step 512, through the hot DB server, the advertisement related to the category currently contacted by the user is obtained. After analyzing and arranging the click values and category values of the individual accumulated in the hot DB, the process proceeds to the advertisement DB in step 513. This is where the category-related advertisements and the category-specific advertisements are detected. After that, the user accesses the bighot DB server based on the user access category information, and detects the click value in the category of the main user of the site that the user wants to access. In step 516, related sites and related advertisements are displayed in a predetermined area of the screen based on the data obtained through steps 502, 513 through 515.

In step 517, it is checked whether the banner advertisement is exhausted, and if the banner advertisement does not appear, it is delayed until it is displayed. Then, when the banner advertisement is displayed, the process proceeds to step 518 where a certain percentage of the pop-up advertisement cost is accumulated as the subscriber ID. Thereafter, the process proceeds to step 519, when the user does not click on the advertisement, the process proceeds to step 520, and when it clicks, the process proceeds to step 520, where the accumulation of advertisement clicks is accumulated. At this time, when the user clicks on the advertisement site using the recommender bookmark mark among the clicked advertisements, the reserves are accumulated by both IDs of the recommended recipients, that is, the clicker and the recommender, according to a certain ratio of the reserves. That is, in step 519 and step 520, the process proceeds to step 521, and when the bookmark is not performed, the process proceeds to FIG. If a bookmark is desired in step 521, the process proceeds to step 522, where LB> B is compared with the number of the highest bookmark files (LB) that can be bookmarked and the number (B) of files that can be included in the category. The bookmarking process can be divided into three cases depending on the contents of the bookmark button. First, in the case of an advertisement click in step 526, it is automatically stored in the advertiser designated category and the service provider designated category. This case may or may not be manual. Secondly, when bookmarking bookmark files with recommender markers, bookmarks are placed in three categories: the recommender designation category, the service provider designation category, and the recommender directory. It is bookmarked. Third, manually categorizing bookmarks is also possible at this stage.

Drawing 6

FIG. 6 is a description of variables that are basically used to perform work from FIG. 2 to FIG. 5. Variables included in each category of LB and LV include variables for LB and LV. This value allows the user to randomly delete the number of files to be bookmarked and the automatic bookmark, and to fill the deleted space with new address bookmark files.

Variables owned by each bookmark file and variables created and destroyed automatically

The URL variable contains an internet address. This is to access the address.

2. Description variable refers to the basic description saved by reading the title tag in HTML and / or the description saved manually by users.

3. The category variable is used to push each category specified in the bookmark part of the client program user by the push technique, and it is also necessary to provide the subscriber with high-level information using hotDB.

4. Click variables are used to evaluate popularity through click variables, which also pushes advanced information to subscribers.

5. The manual bookmark variable adds a schedule variable to a bookmark file bookmarked manually by the user so that the bookmark file is not deleted even if LV> V within a certain period. It is dynamically created and stored statically.

6. Friend recommendation mark variable This is a place for showing a friend recommendation mark by the user. This variable is dynamically generated and stored statically.

Drawing 7

Referrer Recipient Bookmark File Receive Window

ID: The ID is used to discriminate between spam and the like by determining which person came from.

Address bar: The address bar shows the address from the recommender.

Check box next to the address bar: By selecting or clearing this check box, the user can bookmark, delete, etc.

Domain window: This is for friend recommendation window advertisers and will appear when the advertiser deposits.

This is detected by the server the domain portion included in the advertiser's recommendation address, which is described in Figure 2 (suggested bookmark file sender).

Domain check window: Users can bookmark, delete, etc. by selecting or clearing this check box.

Description Window: This is the comment that the recommender entered manually or the result of reading the title part of HTML embedded in the homepage.

Popularity: Popularity implies the importance of the sent site, based on the referrer's click value.

Received Date: The date and time when the recommender sent the bookmark file.

Bookmarking, deleting and inclusion in existing bookmarks and recommender bookmark markers If you bookmark bookmarks are classified into three cases.

In case of deletion, only the one which came to the recommender mark by the user is deleted.

Drawing 8

Related Sites & Ads Pop-up Ad Window Screen

In one of the two ad windows, a category ad corresponding to the category the user wants to access is displayed.

In addition, one of the advertisement window is not the category, but the advertisement by the user's personal preference by the hot DB will appear.

In the related site section, the subscribers will receive a hot DB for the filtered related sites that are most popular among all users, and non-subscribers will have a general related site by category.

The Friend Suggest bookmark will display the site description, including the referrer marker, or the site name and address. This marker is divided into two states. Active when depositing advertisers. Inactive when depositing advertisers.

Drawing 9

Advertiser Ad Register

When there is an advertiser's visit to the site in step 901, in step 902, an advertisement registration application for the advertiser is started. In step 903, the advertiser enters the IP of his site, and in step 904, sees only the click distribution by category of the advertiser site of the big hot DB to view the recognition field of the company's site.

In step 905, the advertiser becomes aware of other uses of his site through the uses of bookmark file recommenders.

Steps 906, 904, and 905 are detected and displayed in a popular category of advertiser companies.

In step 907, the desired advertisement part is selected from the three items. Step 908 may select a bookmark recommender marker advertisement. In operation 909, an advertisement for each category may be selected. In step 910, a personal taste advertisement may be performed through the hot DB.

In step 911, the selected advertisement is transmitted. And enter the payment method.

In step 912, it is confirmed whether or not the deposit. If the advertiser did not deposit within a certain period of time to proceed to step 913 to send a deposit request e-mail. When the advertiser deposits, the process proceeds to step 914 where the advertisement is placed in the advertisement DB.

Through the hot DB, bookmarks, related sites, and advertisements that are suitable for each individual are displayed, so that users can get the information that they want to find on the Internet, in order of popularity, from the seat of the address, which is suitable for each user. . You can also search the Internet through your bookmark list even when you are offline.

Claims (13)

At least one user terminal connected to the Internet and having a web browser and a client program for exchanging DB analysis between the web server in the user system and the user terminal connected to the Internet and analyzing and storing individual tastes of the user DB containing a bookmark file including the database and bookmark files ranked by the popularity of all users, a database of multiple sites and sites associated with each site, and a database of mutual recommendations between users of files created through bookmarking behavior. And a system having one or more web servers and a server program for interworking and analyzing the DB inside the server; and a bookmark file site generated as a result of bookmarks and favorites. With a URL variable to access Explanatory variables for a brief description of the site and a number of sites are categorized to push the above file containing category variables for exchange of bookmark files between server programs and client programs, and addresses that are appropriate for popular and personal information by clicks. In the case of a click variable for giving and a manual bookmark by a user, a process for including or adding a recommender bookmark display variable for performing a task of a client program by dividing a manual bookmark variable for performing this distinction and a bookmark file sent from the recommender And the number of bookmarks to limit the number of bookmarks included in each category by the push method from the server and the bookmark file to be deleted according to the number of visits (LB) and the number of visits. Maximum number of visits or marginal room And transmits the number (LV). That is, each address file includes a URL, a description, a category, a click variable, a manual bookmark display, a friend recommendation bookmark display, and each category has a limit bookmark count (LB) and a limit visit count (LV). An additional file that adds a variable other than an existing variable to a file or an existing bookmark file, which is characterized by having a variable. The process of recommending a bookmark in using the variable described in claim 1 The recommender of the Internet site transmits the ID and address value of the recipient to the system, the category to which the address belongs, and the click value of the site through the program to the server. The server receiving the transfer step characterized in that the address bookmark file to give the schedule display to recognize that the recommended recipient is the recommended address. Secondary tertiary, etc. directory at the back of com, com, etc. using the variable described in claim 1 and the bookmark file recommender described in claim 2 sent to the server to indicate the end of the domain in which the IP is expressed in letters. Automated system for recognizing and referencing only to the end of this domain when there are long addresses via. The process of receiving recommended sites from a server. The category value and the corresponding address of the bookmark file recommended by the recommender in receiving the bookmark file added to the server using the variable described in claim 1 and the bookmark file sent by the bookmark file recommender described in claim 2 to the server according to claim 3. Receiving a value and click value or IP generation value from the server to the client program, characterized in that the bookmark is automatically sent to the category specified by the recommender or specified by the implementer of the present invention by the user's permission The number of bookmark nesting counts (LB) for each category which is set by the client program user in the use of the variable described in claim 1 and transmitted from the server to the user's client by the push technique, and which each category currently has Requesting the server to transmit the bookmark file by a difference from the number of bookmarks (B). In using the variable described in claim 1, among the bookmarks in the client program user's browser, it can be divided into a site popular and unpopular to the user. If the number of visits (V) is greater than, characterized in that for replacing the new file by the push technique. Based on the category and the number value received for each category in using the variable described in claim 1 and the aggregated results of claims 5 and 6, bookmark files of users who use the same category as the category among the users most frequently are selected. Detecting the corresponding number according to the click value and sending the same to the client program. In the detection result of the DB of claim 7, which uses the variable described in claim 1 and the result of claim 5 and 6 is filtered and useful information rather than a simple listing of the DB, the bookmark file sent by the client program from the server to both the server and the client And transmitting to each bookmark file storage unit of the client system according to a predetermined category value between the programs. In using the variable described in claim 1, when a user surfs using a bookmark, the client program reads the corresponding bookmark category and sends the coefficient to the web server for reference in the general category advertisement DB and related site DB of the server. Part. In using the variable described in claim 1, when surfing using a bookmark, a client program reads a category, sends this count to the server, and combines it with a hot DB through membership authentication to match the category of the site the user wants to go to. And providing useful information to the user by showing related sites in the most popular order of all members about the advertisement through the midnight DB reflecting individual tastes and interests and the category the user wants to go to. In the variables related to the DB using the variable described in claim 1 and the information recommended by the process of claim 2 added by claim 3 and the bookmark address accepted by the user in claim 4 accumulating on the server, When surfing via bookmark surfing, the client program reads this category count and shows relevant sites in this category, adding the recommended bookmark bookmarks to it. A referee who uses the variable described in claim 1 and receives a click ad with a referrer bookmark mark added to the relevant site in the file added via claim 3 and accepted by claim 4 displayed on the screen in claim 11 And characterized in that the recommender will share the reserve at a certain rate. In using the variable described in claim 1, the advertiser visits the homepage, enters the advertiser's IP and domain, etc., and searches for some of the bighot DB's and friend's recommendation categories and usages to find out whether the IP or the field is relevant to consumers, Characterized in that the information is paid only to the advertiser who applied or deposited. 5) Referee Mark Drawings 2, 5, 7, 8 Drawing 3 One) Receive referral mark via push and save to client system Drawing 7,8 2) How to bookmark the recommended location 2, 5, 8 and 5 are both related and bookmarked Drawing 4 Work process by the role and composition of LB1, B, LV and V 3) a step of storing the requested number of files according to each category value according to each category value by the client program of the system in the corresponding area. Drawing 5 1) Surf through bookmark-> category, read ads and related sites, link with DB server and ad window 2) Surf through bookmarks-> read categories and connect via DB and related websites DB and ad window 3) It is not meaningful to see only the accumulation method, but patent is possible by combining with other 4) Recommend predator ad-> Recommend Recommend to all the recommended recipient Drawing 9 Read the designated directory of referrers, analyze the awareness and popularity of advertisers' new advertising areas, and apply for ads.