WO2014059848A1

WO2014059848A1 - Web page search device and method

Info

Publication number: WO2014059848A1
Application number: PCT/CN2013/083889
Authority: WO
Inventors: 张栋
Original assignee: 北京奇虎科技有限公司
Priority date: 2012-10-17
Filing date: 2013-09-22
Publication date: 2014-04-24
Also published as: CN102937975A; CN102937975B

Abstract

A web page search device and method are disclosed. The method comprises: extracting one or multiple terms from a web page; and, if a user does not enter a search term, assigning at least one of said one or multiple terms as a search term, then sending a search request to a search engine; and returning search results to the user. In the present invention, if a user does not enter a search term, a recommended search term is provided to a search engine so as to produce search results that might be of interest to the user. This greatly increases computer operating efficiency and improves the user experience and ease of operability.

Description

Web search device and method

The present invention relates to the field of computers, and more particularly to a web page search device and method. Background technique

Computer users can access Internet pages through a web browser. With the rapid development of the Internet, the amount of information provided on the Internet is also increasing. It is difficult for users to remember the specific address of the information website, and thus often rely on the search website to query relevant information on the network.

Search websites use search engines to extract information from various websites or web pages from the Internet (mainly based on web pages) and build databases. When a user makes a query on a search site, the search engine can retrieve records that match the user's query criteria and return the query results in a certain order.

However, when an existing search site provides a search service, it usually requires the user to input a specific query content, that is, a search term, in the search interface. Then, when the user issues a search request by hitting a carriage return on the keyboard or clicking a search icon on the search interface, the search engine searches for the search term entered by the user and returns the search result to the user. If the user does not enter a search term, the search site will not perform any search operations, and sometimes the user will be prompted to enter a search term.

The inventor of the present application found that, sometimes, the user does not input the search term on the search website not because he forgot to input, but as the user browses various information websites, and has no clear query purpose, but hopes that the search engine can Provide users with interesting search results.

The existing search site does not fully consider the reason why the user does not explicitly input the search term, but simply considers that the user forgets to input the search term, so the user is not expected to search the website to provide the search result that is most interesting to them. The potential demand for any input. Summary of the invention

In view of the above problems, the present invention has been made in order to provide a web site access method and a corresponding web site access system that overcome the above problems or at least partially solve the above problems.

It is an object of the present invention to provide a web search device and method that overcomes the above-discussed deficiencies or at least partially alleviates the above disadvantages.

In order to achieve at least one of the above objects, in accordance with an aspect of the present invention, a web page search device is provided, the web search device comprising:

a term extractor configured to extract one or more terms from a web page;

A searcher configured to issue a search request to the search engine as at least one of the one or more terms as the search term when the user does not input the search term, and return the search result to the user.

In one embodiment, the webpage search device further includes a web address obtainer configured to obtain one or more user attention URLs at the browser; wherein the term extractor is from a webpage corresponding to one or more user attention URLs Extract terms.

In one embodiment, the web page search device further includes a term list generator configured to generate a list of terms including the extracted terms.

In one embodiment, the web search device further includes a term updater configured to update the user attention URL; and the term extractor extracts terms from the web page corresponding to the updated user attention URL.

According to another aspect of the present invention, a webpage search method is provided, comprising: a term extraction step for extracting one or more terms from a webpage;

The searching step is configured to send a search request to the search engine as at least one of the one or more terms as the search term when the user does not input the search term, and return the search result to the user.

In an embodiment, the webpage search method further includes a webpage obtaining step of acquiring one or more user attention URLs at the browser; wherein, in the term extraction step, from the one or more user attention URLs The term is extracted from the web page.

In one embodiment, the webpage search method further includes a webpage weight generating step of presetting the webpage weight value according to the browsing order.

In one embodiment, the web page search method further includes a term list generation step for generating a list of terms including the extracted terms.

In one embodiment, the webpage search method further includes a term update step for determining Whether the user cares about the URL is updated; if so, in the term extraction step, the term is extracted from the web page corresponding to the updated user attention URL.

The present invention can provide recommended search terms to a search engine without the user inputting a search term to obtain search results that may be of interest to the user. This greatly improves the efficiency of the computer and improves the user experience and operational efficiency.

The above description is only an overview of the technical solutions of the present invention, and the technical means of the present invention can be more clearly understood, and can be implemented in accordance with the contents of the specification, and the above and other objects, features and advantages of the present invention can be more clearly understood. Specific embodiments of the invention are set forth below. DRAWINGS

Various other advantages and benefits will become apparent to those skilled in the art from a The drawings are only for the purpose of illustrating the preferred embodiments and are not intended to limit the invention. Throughout the drawings, the same reference numerals are used to refer to the same parts. In the drawing:

1 is a schematic diagram of an embodiment of a web page search device in accordance with the present invention; FIG. 2 is a flow chart of one embodiment of a web page search method in accordance with the present invention; FIG. 3 is a schematic illustration of a block diagram of the method's server; and

Fig. 4 schematically shows a storage unit for holding or carrying program code implementing the method according to the invention. detailed description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While the exemplary embodiments of the present invention are shown in the drawings, it is understood that the present invention may be embodied in various forms and not limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be more fully understood, and the scope of the disclosure can be fully disclosed to those skilled in the art.

The web search device 100 shown in FIG. 1 can be implemented in a computer system. In one embodiment, the web page search device 100 can be implemented at a browser client of a computer system. As shown in FIG. 1, the web page search device 100 can include a web address harvester 102, a term extractor 106, and a searcher 112. In addition, the webpage search device 100 may also optionally The term updater 104, the web page weight generator 108, and the term list generator 110 are included. The URL retriever 102 can be configured to obtain one or more user attention URLs at the browser. The user's attention URL can be derived from: the web browsing history stored in the browser; the web address of the web page stored in the browser's local favorites; and/or the web address of the web page stored in the user's web favorites. For user-focused URLs from these sources, the user's browsing and/or favorite operations reflect the user's attention to the URL. Thus, the user attention URL can at least partially reflect the user's focus or point of interest on the information on the Internet.

The term extractor 106 can be configured to extract one or more terms or keywords from the web page obtained by the web address harvester 102. In the embodiment of FIG. 1, the term extractor 106 can extract terms from web pages corresponding to the user's attention URL based on the user attention URL obtained by the web address obtainer 102.

The term extractor 106 is preferably also configurable to calculate a value of the extracted terminology that can be used to identify the importance of the extracted term in the web page. In one embodiment, the term extractor 106 may use a keyword/term extraction method based on TF-IDF (term frequency-inverse document frequency) commonly used in the prior art. Web pages for the extraction of terms. TF-IDF is a commonly used weighting technique for information retrieval and text mining. TF-IDF is used as a statistical method to assess the importance of a term for a file set or one of the files in a corpus. The statistical result of TF-IDF can be recorded, for example, by a key-value table, where key is the term and value is the product of the term TF and IDF, which is used to indicate the importance value of the term. The table can then be sorted by value value, and finally the top words with the importance value are used as keywords. Thus, the term extractor 106 can obtain a key-value table for each web page corresponding to the user's attention URL.

Optionally, the term extractor 106 may further calculate the importance value of the term in all webpages according to a terminology value of each corresponding webpage and a webpage weight value weighting (for example, weighted summation) of each corresponding webpage. To reflect the importance of the term in the web page of all users' attention URLs. To this end, the term extractor 106 can retrieve the weight of the corresponding web address from the web page weight generator 108.

The web page weight generator 108 may store web page weight values that are preset according to the web page browsing order. In one embodiment, the webpage weight value is determined according to the order in which the user browses the corresponding webpage, and the weight of the webpage of the newly browsed webpage is higher. For example, you can select the first 5 web pages, each page has a weight of 1, 0.6, 0.3, 0.2, 0.15. Of course, you can use other Appropriate weight distribution. For web pages stored in the user's local or network favorites, they can be processed as a web page with a special browsing order, assigned a specified weight, such as 0.9, 1 or even higher such as 1.2, and so on. The term extractor 106 can read the corresponding web page weight value in the web page weight generator 108 when calculating the weighted term importance value.

Alternatively, the term list generator 110 may be configured to generate the inclusion by the term extractor

A list of terms extracted for each term 106 is selected by the searcher 112. In one embodiment, the term list generator 110 may store the terms extracted by the term extractor 106 and the calculated weighted importance values in a list of terms. Optionally, the term list is sorted by the importance value of the term, and the order of the terms with the greater importance value is arranged.

Optionally, the webpage search device 100 further includes a term updater 104. The term updater 104 can be configured to update the user attention URL. When the browser has a new web browsing operation or a webpage bookmarking operation, the user attention URL obtained in the web address obtainer 102 will be increased or updated. At this point, the term updater 104 detects such updates and only sends the updated user attention URL to the term extractor 106, which extracts the terms from the web page corresponding to the updated user attention URL. This prevents the term extractor 106 from reprocessing all user attention URLs each time to improve the efficiency of the computer.

The searcher 112 can be configured to issue a search request to the search engine 200 as a search term at least one of the terms extracted by the term extractor 106 when the user does not input a search term, and return the search result to the user. Thus, when the user does not input a search term but issues a search request by hitting a carriage return on the keyboard or clicking a search icon on the search interface, the searcher 112 can still obtain the search result. In the embodiment of FIG. 1, the searcher 112 may select at least one term from the term list generator 110 based on the importance value of the term from high to low as the search term. When multiple terms are selected as search terms, the searcher 112 can perform a combined search in a certain or predetermined logical relationship such as "and" or "or". In one embodiment, the searcher 112 may select the term with the highest importance value as the search term.

The searcher 112 is preferably further configured to, when the user does not input the search term, has no browsing operation on the returned search result, and when the user does not input the search term for searching, the term that has not been used as the search term is used as an alternative. Search term. Thus, when the user performs a search for a search term that is not entered, if it is found that there is no web page of interest, the search request can be sent again without inputting the search term, and the searcher 112 will be from the term list generator 110. The search engine 200 is searched for by selecting a new term as a search term. Obviously, the searcher 112 can also be configured to have a conventional search mode, SP. When the user inputs a search term, the searcher 12 issues a search request to the search engine 200 based on the search term input by the user, and returns the search result to the user.

It should be noted that after the user performs a search operation through the searcher 1 12, the searcher 1 12 returns a web page presenting the search result to the user whether the search term is entered or the search term is entered. The URL of the webpage that renders the search results will also be stored in the browser's web browsing history, but such webpages do not actually reflect the user's concerns or points of interest (the search results listed in the webpage may reflect the user) The point of interest or interest point), therefore, the URL retriever 102 is preferably configured to exclude the URL corresponding to such a web page as the user's attention URL.

In other embodiments, various components of the web search device 100 may be variously split, combined, or omitted in the context of implementing the basic functions of the present invention. In an exemplary embodiment, the term extractor 106 only retrieves a key-value table for each web page, and the weighted importance values for each term can be calculated in the term list generator 110 and are directed by the web page weight generator 108 The term list generator 1 10 provides a web page weight value. In other exemplary embodiments, one or more of the URL retriever 102, the term updater 104, the web page weight generator 108, and the term list generator 110 in FIG. 1 may be merged with the term extractor 106 into new terms. Extractor. In another embodiment, the URL retriever 102 only retrieves the web page that the user has recently viewed as the user's attention web address at a time, and the term extractor 106 extracts the term so that the term updater 104 can be omitted.

2 shows a flow diagram of one embodiment of a web page search method 300 of the present invention. The web page search method 300 shown in FIG. 2 is adapted to be described in the web page search method 300 of the present invention in conjunction with the web page search device 100 shown in FIG.

The method 300 can begin at a web address acquisition step S302. In this step S302, one or more user attention URLs at the browser can be obtained. As mentioned earlier, the user's attention URL can be derived from: the web browsing history stored in the browser; the web address of the web page stored in the browser's local favorites; and/or the web address of the web page stored in the user's web favorites. In step S302, it is preferable to exclude the web address corresponding to the web page on which the search result is presented as the user attention web address. Step S302 can be performed by the web site acquirer 102.

The method 300 then proceeds to the term extraction step S306. In the term extraction step S306, one or more terms may be extracted from the web page. If the method 300 is first run, all users acquired in the URL acquisition step S302 will be acquired in the term extraction step S306. The term corresponding to the web page corresponding to the web site is extracted, and the term list is generated in the term list generating step S310. During subsequent operation of the method 300, term extraction may be performed only on the updated user attention URL in the term extraction step S306, and the term list may be updated accordingly. As described above, when the term extraction is performed, the key-value table of each web page can be obtained first, so as to obtain the importance value of the term and the term of each webpage in the corresponding webpage; and then, according to the webpage weight value of each webpage. , get the weighted importance value of the term in all web pages. As described above, the webpage weight value may be determined according to the order in which the user browses the corresponding webpage, and the weight of the webpage of the newly browsed webpage is higher. This can be pre-set according to the page browsing order before the method is executed. Alternatively, step S306 can be performed by the term extractor 106.

Subsequently, optionally, the method 300 can include a term list generation step S310. In the term list generation step S310, a list of terms including the extracted terms may be generated. Optionally, the list of terms is sorted by the importance value of the term, and the higher the importance value, the higher the order of the words. Alternatively, step S310 can be performed by the term list generator 110.

The method 300 then proceeds to a search step S312. In the searching step S312, at least one of the term lists may be used as a search term to issue a search request to the search engine when the user does not input the search term, and the search result is returned to the user. At least one term may be selected as a search term based on the importance value of the term. Alternatively, the term with the highest importance value can be selected as the search term. This makes it possible to perform a search operation when the user does not input a search term. When the user does not input a search term and has no browsing operation on the returned search result, when the user does not input the search term for searching, the term that has not been used as the search term may be used as an alternative search term. When the user inputs a search term, a search request can be issued to the search engine based on the search term input by the user, and the search result can be returned to the user. Alternatively, step S312 can be performed by the searcher 12 12 .

Optionally, in the method 300, the term update step S304 may also be included. In the term update step S304, it may be determined whether the user attention URL obtained by the URL acquisition step S302 is updated compared to the previously obtained result, thereby determining whether a term update is required. If the user attention URL is not updated, the term update is not performed, returning to step S302, and maintaining the previously obtained term list. If the user's attention URL is updated, the term update is made and the term extraction step S306 is performed only for the updated user attention URL. Alternatively, step S304 can be performed by the term updater 104. It should be understood that Figure 2 The illustrated web page search method 300 can also be implemented by a device other than that shown in FIG. It should also be understood that in other embodiments of the web page search method of the present invention, one or more steps may be omitted, repeated, and/or performed in a different order. Therefore, the particular arrangement of steps shown in Figure 2 should not be construed as limiting the scope of the technology.

Steps similar to those of the other embodiments will not be described in detail herein.

The various component embodiments of the present invention may be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or digital signal processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components of a web page search device in accordance with embodiments of the present invention. The invention can also be implemented as a device or device program (e.g., a computer program and a computer program product) for performing some or all of the methods described herein. Such a program implementing the present invention may be stored on a computer readable medium or may have the form of one or more signals. Such signals may be downloaded from the Internet website, or provided on a carrier signal, or in any other form.

For example, FIG. 3 illustrates a server, such as an application server, that can implement a web page search method in accordance with the present invention. The server conventionally includes a processor 410 and a computer program product or computer readable medium in the form of a memory 420. Memory 420 can be an electronic memory such as a flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM. Memory 420 has a memory space 430 for program code 440 for performing any of the method steps described above. For example, storage space 430 for program code can include various program code 440 for implementing various steps in the above methods, respectively. The program code can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards or floppy disks. Such a computer program product is typically a portable or fixed storage unit as described with reference to Figure 4. The storage unit may have a storage section, a storage space, and the like arranged similarly to the storage 420 in the server of Fig. 3. The program code can be compressed, for example, in an appropriate form. Typically, the storage unit includes computer readable code 431 ', i.e., code that can be read by a processor, such as 410, which, when executed by a server, causes the server to perform various steps in the methods described above.

"One embodiment", "an embodiment" or "one or more embodiments" as referred to herein It is meant that the specific features, structures, or characteristics described in connection with the embodiments are included in at least one embodiment of the invention. In addition, it should be noted that the phrase "in one embodiment" herein does not necessarily refer to the same embodiment.

The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general purpose systems can also be used with the teaching based on the teachings herein. The structure required to construct such a system is apparent from the above description. Moreover, the invention is not directed to any particular programming language. It is to be understood that the present invention may be embodied in a variety of programming language, and the description of the specific language has been described above in order to disclose the preferred embodiments of the invention.

Numerous specific details are set forth in the description provided herein. However, it is understood that the embodiments of the invention may be practiced without these specific details. In some instances, well known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of the specification.

Similarly, the various features of the present invention are sometimes grouped together into a single embodiment, in the above description of the exemplary embodiments of the invention, Figure, or a description of it. The method disclosed is not to be interpreted as reflecting the invention as claimed. The claimed invention is claimed to have more features than those specifically recited in the appended claims. Rather, as the following claims reflect, inventive aspects lie in less than all features of the single embodiments disclosed above. Therefore, the claims following the specific embodiments are hereby explicitly incorporated into the embodiments, and each of the claims as a separate embodiment of the invention.

Those skilled in the art will appreciate that the modules in the devices of the embodiments can be adaptively changed and placed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and further they may be divided into a plurality of sub-modules or sub-units or sub-components. In addition to such features and/or at least some of the processes or units being mutually exclusive, any combination of the features disclosed in the specification, including the accompanying claims, the abstract and the drawings, and any methods so disclosed, or All processes or units of the device are combined. Each feature disclosed in the specification (including the accompanying claims, the abstract and the drawings) may be replaced by alternative features that provide the same, equivalent, or similar purpose, unless otherwise stated. In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features that are not included in other embodiments, and other features, combinations of features of different embodiments are intended to be within the scope of the present invention. Different embodiments are formed and formed. For example, in the following claims, any one of the claimed embodiments can be used in any combination.

The various component embodiments of the present invention may be implemented in hardware, or in a software module running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or digital signal processor can be used in practice.

(DSP) to implement some or all of the functionality of some or all of the components of the web site access system in accordance with an embodiment of the present invention. The invention can also be implemented as a device or device program (e.g., a computer program and a computer program product) for performing some or all of the methods described herein. Such a program implementing the present invention may be stored on a computer readable medium or may have the form of one or more signals. Such signals may be downloaded from the Internet website, or provided on a carrier signal, or in any other form.

It is to be noted that the above-described embodiments are illustrative of the invention and are not intended to limit the invention, and that alternative embodiments can be devised by those skilled in the art without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as a limitation. The word "comprising" does not exclude the presence of the elements or steps that are not in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means can be embodied by the same hardware item. The use of the words first, second, and third does not indicate any order. These words can be interpreted as names.

In addition, it should be noted that the language used in the present specification has been selected primarily for the purpose of readability and teaching, and is not intended to be interpreted or limited. Therefore, many modifications and variations will be apparent to those of ordinary skill in the art. The disclosure of the present invention is intended to be illustrative, and not restrictive, and the scope of the invention is defined by the appended claims.

Claims

Rights request

1. A web search device, including:

a term extractor configured to extract one or more terms from a web page;

A searcher configured to use at least one of the one or more terms as a search term to issue a search request to the search engine when the user does not enter a search term, and return search results to the user.

2. The web page search device according to claim 1, further comprising:

A URL acquirer configured to acquire one or more user-focused URLs at the browser; wherein the term extractor extracts the term from a web page corresponding to the one or more user-focused URLs.

3. The web page search device according to claim 1 or 2, wherein the term extractor is further configured to calculate the importance value of the one or more terms, and the importance value is used to identify the The importance of the term in the web page.

4. The web page search device according to claim 3, wherein the importance value of the term is weighted and calculated based on the importance value of the term in each corresponding web page and the web page weight value of each corresponding web page.

5. The web page search device according to claim 4, wherein the web page weight value is determined according to the order in which the user browses the corresponding web pages, and the more recently browsed web pages have a higher weight value.

6. The web page search device according to claim 4 or 5, further comprising a web page weight generator configured to store web page weight values preset according to the browsing order.

7. The web page search device according to any one of claims 3-6, characterized in that the searcher is configured to select at least one term as a search term based on the importance value of the term.

8. The web page search device according to claim 7, wherein the searcher is configured to select the term with the highest importance value as the search term.

9. The web page search device according to any one of claims 1 to 8, characterized in that, the searcher is set to: when the user does not browse the returned search results after inputting a search term, then the user When subsequent searches are performed without entering a search term, terms that have not been used as search terms before will be used as alternative search terms.

10. The web page search device according to claim 2, characterized in that the URL obtainer is configured to obtain user-focused URLs from the following URLs:

Web browsing history stored in the browser;

The URL of the web page stored in the browser's local favorites; and/or

The URL of a web page stored in the user's Web Favorites.

11. The web page search device according to claim 2 or 10, wherein the web address acquirer is configured to exclude web addresses corresponding to web pages presenting search results as user-focused web addresses.

12. The web page search device according to claim 1, further comprising: a term list generator configured to generate a term list including each extracted term.

13. The web page search device according to any one of claims 2-12, further comprising a term updater configured to update the user-focused URL; and

The term extractor extracts the terms from the web pages corresponding to the updated user-focused web addresses.

14. The web page search device according to claim 1, wherein the searcher is configured to issue a search request to the search engine according to the search terms entered by the user when the user inputs a search term, and return the search results to the user.

15. A web page search method, including:

The term extraction step is used to extract one or more terms from the web page;

The search step is used to send a search request to the search engine using at least one of the one or more terms as a search term when the user does not enter a search term, and return the search results to the user.

16. The web page search method according to claim 14, further comprising:

The URL acquisition step is used to obtain one or more user-focused URLs at the browser; wherein, in the term extraction step, the term is extracted from the web page corresponding to the one or more user-focused URLs.

17. The web page search method according to claim 15 or 16, characterized in that, in the term extraction step, the importance value of the one or more terms is also calculated, and the importance value is used to identify the The importance of the term in the web page.

18. The webpage search method according to claim 17, wherein the importance value of the term is weighted and calculated based on the importance value of the term in each corresponding webpage and the webpage weight value of each corresponding webpage.

19. The web page search method according to claim 18, characterized in that the web page weight value is determined according to the order in which the user browses the corresponding web pages, and the more recently browsed web pages have a higher weight value.

20. The web page search method according to claim 18 or 19, further comprising a web page weight generating step for presetting the web page weight value according to the browsing order.

21. The web page search method according to any one of claims 17 to 20, characterized in that, in the search step, at least one term is selected as a search term based on the importance value of the term.

22. The web page search method according to claim 21, characterized in that, in the search step, the term with the highest importance value is selected as the search term.

23. The web page search method according to any one of claims 15 to 22, characterized in that, in the search step, when the user does not browse the returned search results after inputting a search term, then the user When no search terms are entered for subsequent searches, terms that have not been used as search terms before will be used as alternative search terms.

24. The web page search method according to claim 16, characterized in that, in the step of obtaining the website address, the user-focused website address is obtained from the following website addresses:

Web browsing history stored in the browser;

The URL of the web page stored in the browser's local favorites; and/or

The URL of a web page stored in the user's Web Favorites.

25. The web page search method according to claim 16 or 24, characterized in that, in the step of obtaining the web address, the web address corresponding to the web page presenting the search results is excluded as the user focused web address.

26. The web page search method according to claim 15, further comprising: a term list generating step, configured to generate a term list including each extracted term.

27. The web page search method according to any one of claims 16 to 26, characterized in that it also includes a term updating step, used to determine whether the user's followed website has been updated; if so, in the term extraction step In the step, the term is extracted from the web page corresponding to the updated user-focused URL.

28. The web page search method according to claim 1, characterized in that, in the search step, when the user inputs a search term, a search request is issued to the search engine according to the search term entered by the user, and the search results are returned to the user. .

29. A computer program, including computer readable code, which when the computer readable code is run on a server, causes the server to execute the web page search method according to any one of claims 15-28.

30. A computer-readable medium in which the computer program according to claim 29 is stored.