KR20180088260A - Method and apparatus for generating web pages - Google Patents

Abstract

Disclosed are a method and a device for generating a web page. According to an embodiment of the present invention, the method for generating a web page comprises the following steps of: receiving a search request including a search keyword transmitted from a client; obtaining an information set to be pushed which corresponds to the search keyword; determining an association type between the search keyword and a predetermined keyword set; determining a push position of each information to be pushed among the obtained information set to be pushed based on the association type between the search keyword and the predetermined keyword set; and setting each information to be pushed on a web page according to the determined push position, and generating a new web page. The present invention improves efficiency of information push.

Description

[0001] METHOD AND APPARATUS FOR GENERATING WEB PAGES [0002]

The present application relates to the field of computer technology, specifically to the field of Internet technology, and more particularly to a method and apparatus for generating a web page.

Information pushing, also referred to as "network broadcast", is a technology that reduces information overload by pushing user-requested information over the Internet via a certain technology standard or protocol. The information push technique can push information to the user, thereby reducing the amount of time the user spends searching on the Internet.

However, the conventional information push platform only provides a push method for the brand word, that is, pushing push information related to the brand to the user only when the user searches for the brand word, In the case of retrieval, the efficiency of information pushing is deteriorated because it can not be accurately identified.

This application is intended to provide a method and apparatus for generating an improved web page to solve the technical problems raised in the background art described above.

In a first aspect, the present application provides a method of generating a web page, the method comprising: receiving a search request including a search keyword sent from a client; Obtaining a set of information to be pushed corresponding to a search keyword; Determining an association type between the search keyword and the predetermined keyword set; Determining a push position of each piece of information to be pushed in the acquired information set to be pushed based on an association type between a search keyword and a predetermined keyword set; And generating a new web page by setting information to be pushed on the web page according to the determined push position.

In some embodiments, the step of acquiring the information set to be pushed corresponding to the search keyword comprises: a step of acquiring an information set to be pushed in correspondence with a search keyword from an information database to be pushed and a predetermined pushed information database corresponding to a predetermined keyword And acquiring a set of information to be transmitted.

In some embodiments, the predetermined keyword set includes a predetermined keyword and a corresponding surrounding word of a predetermined keyword, and the step of determining an association type between the search keyword and the predetermined keyword set includes: Determining a matching relation between a search keyword and a predetermined keyword and a word around a predetermined keyword; And determining an association type between the search keyword and the predetermined keyword set based on the determined matching relationship.

In some embodiments, the association type includes a first association type and a second association type, and the step of establishing an association type between the search keyword and the predetermined keyword set based on the determined matching relationship comprises: When the degree of matching between the search keyword and the predetermined keyword is larger than the first predetermined threshold value or when the degree of matching between the search keyword and the surrounding word of the predetermined keyword is greater than the second predetermined threshold value, Establishing a relationship type; And when the degree of matching between the search keyword and the predetermined keyword is not larger than the first predetermined threshold value and the degree of matching between the search keyword and the predetermined keyword is not larger than the second predetermined threshold value, 2 < / RTI > association type.

In some embodiments, the association type includes a first association relationship type and a second association relationship type, wherein the predetermined keyword in the predetermined keyword set includes a plurality of predetermined keywords, and based on the determined matching relationship, Wherein the step of determining an association type between a search keyword and a predetermined keyword set includes a step of determining whether a matching degree of at least one predetermined keyword among a predetermined keyword set is larger than a first predetermined threshold value, Establishing an association type between a search keyword and a predetermined keyword set as a first association type if the matching degree of the word is larger than a second predetermined threshold; And establishing an association type between a search keyword and a predetermined keyword set as a second association type when the matching degree of at least two predetermined keywords among the search keyword and the predetermined keyword set is greater than the first predetermined threshold value. If the degree of matching between the search keyword and the predetermined keyword is not larger than the first predetermined threshold value and the degree of matching between the search keyword and the surrounding word of the predetermined keyword is not greater than the second predetermined threshold value, 2 affinity type; And when the degree of matching between the search keyword and the predetermined keyword is not greater than the first predetermined threshold value and the degrees of matching of the search keyword and the words around the predetermined keyword of at least two predetermined keywords are both greater than the second predetermined threshold value, And establishing an association type between the first and second association types.

In some embodiments, the information set to be pushed includes a first set of information to be pushed, obtained from a general purpose information database to be pushed, and a second set of information to be pushed, obtained from a predetermined information database to be pushed , Determining the push position of each piece of information to be pushed in the obtained information set to be pushed based on the association type between the search keyword and the predetermined keyword set, if the association type is the first association type, 2 all the information to be pushed in the information set to be pushed is arranged in front of all the information to be pushed in the first set of information to be pushed, and the information set to be pushed first and the pushed information to be pushed For each piece of information, Determining a push order of information to be pushed in the first set of information to be pushed and a second set of information to be pushed based on the degree of matching of the pushed information; Based on the degree of matching of the information to be pushed and the search keyword for each information to be pushed in the first set of information to be pushed and the second set of information to be pushed when the association type is the second association type, And determining a push order of the information to be pushed, wherein the step of setting the information to be pushed on the web page in accordance with the determined push position to generate a new web page comprises: And generating a new web page by setting the information to be pushed at a corresponding push position of the web page.

In some embodiments, the information set to be pushed includes a first set of information to be pushed, obtained from a general purpose information database to be pushed, and a second set of information to be pushed, obtained from a predetermined information database to be pushed , Determining the push position of each piece of information to be pushed in the obtained information set to be pushed based on the association type between the search keyword and the predetermined keyword set, if the association type is the first association type, 2 sets the push position of all the information to be pushed in the information set to be pushed to the first predetermined position of the web page and sets the push position of all of the information to be pushed in the first pushed information set to the first predetermined Position, the first set of information to be pushed and the second set of information to be pushed The pushing of each piece of information to be pushed on a position other than the first predetermined position and the first predetermined position based on the matching degree of the information to be pushed and the search keyword, Determining an order; Based on the degree of matching of the information to be pushed and the search keyword for each information to be pushed in the first set of information to be pushed and the second set of information to be pushed when the association type is the second association type, And determining a push order of the information to be pushed, wherein the step of setting the information to be pushed on the web page in accordance with the determined push position to generate a new web page comprises: And generating a new web page by setting the information to be pushed at a corresponding push position of the web page.

In some embodiments, the step of obtaining a set of information to be pushed corresponding to a search keyword from a general purpose information database to be pushed and a predetermined pushed information database corresponding to a predetermined keyword includes: Obtaining all or a first predetermined number of pieces of information to be pushed corresponding to a search keyword; Selecting a second predetermined amount of information to be pushed according to a matching degree when the quantity of information to be pushed acquired from a predetermined information database to be pushed is equal to or greater than a second predetermined quantity; And obtaining the remaining information to be pushed from the general purpose information database to be pushed when the quantity of information to be pushed acquired from the information database to be pushed is smaller than the second predetermined quantity.

In some embodiments, the step of obtaining a set of information to be pushed corresponding to a search keyword from a general purpose information database to be pushed and a predetermined pushed information database corresponding to a predetermined keyword includes: Obtaining a quantity or a first predetermined quantity of information to be pushed corresponding to a search keyword in a first predetermined position; Selecting a second predetermined amount of information to be pushed according to a matching degree when the quantity of information to be pushed acquired from a predetermined information database to be pushed is equal to or greater than a second predetermined quantity; And obtaining the remaining information to be pushed from the general purpose information database to be pushed when the quantity of information to be pushed obtained from the predetermined information database to be pushed is smaller than the second predetermined quantity.

In some embodiments, the predetermined word surrounding the predetermined keyword includes a predetermined keyword and a predetermined keyword surrounding word generated based on the predetermined service related to the predetermined keyword. And / or predetermined keyword-based words generated based on a predetermined keyword and a predetermined product related to the predetermined keyword.

In a second aspect, the present application provides an apparatus for generating a web page, the apparatus comprising: a receiving unit configured to receive a search request including a search keyword sent from a client; An acquisition unit configured to acquire a set of information to be pushed corresponding to a search keyword; An affinity type determination unit configured to determine an association type between a search keyword and a predetermined keyword set; A push position determination unit configured to determine a push position of each piece of information to be pushed in the obtained information set to be pushed based on an association type between a search keyword and a predetermined keyword set; And a web page generation unit configured to generate a new web page by setting information to be pushed on the web page according to the determined push position.

In some embodiments, the obtaining unit is configured to obtain a set of information to be pushed corresponding to a search keyword from a general-purpose information database to be pushed and a predetermined push information database corresponding to a predetermined keyword.

In some embodiments, the predetermined keyword set includes a predetermined keyword and a corresponding surrounding word of the predetermined keyword, and the affinity type determination unit determines, based on the result of semantic analysis of the search keyword, a search keyword, a predetermined keyword, A matching relationship determining module configured to determine a matching relationship between the matching relationship; And an affinity type determination module configured to determine an association type between the search keyword and the predetermined keyword set based on the determined matching relationship.

In some embodiments, the association type includes a first association relationship type and a second association relationship type, wherein the association type determination module determines that the matching degree of the search keyword and the predetermined keyword is larger than the first predetermined threshold value, If the degree of matching of a word around a predetermined keyword is larger than a second predetermined threshold value, the type of association between the search keyword and the predetermined keyword set is determined as the first association type, and the matching degree between the search keyword and the predetermined keyword is determined as the first predetermined threshold And if the matching degree of the search keyword and the word around the predetermined keyword is not larger than the second predetermined threshold value, the association type between the search keyword and the predetermined keyword set is determined as the second association type.

In some embodiments, the association type includes a first association type and a second association type, the predetermined keyword in the predetermined keyword set includes a plurality of predetermined keywords, and the association type determination module includes a search keyword When the matching degree of only one predetermined keyword among the predetermined keyword sets is larger than the first predetermined threshold value or when the degree of matching of the search keyword and only one of the predetermined keywords with respect to the predetermined keyword is larger than the second predetermined threshold value, If the matching degree of at least two predetermined keywords among the search keyword and the predetermined keyword set is both greater than the first predetermined threshold value, an association between the search keyword and a predetermined keyword set is determined The relationship type is determined as the second association type, and the degree of matching between the search keyword and the predetermined keyword is determined as the first predetermined threshold value And if the degree of matching between the search keyword and the word around the predetermined keyword is not greater than the second predetermined threshold value, the association type between the search keyword and the predetermined keyword set is determined as the second association type, If the matching degree is not larger than the first predetermined threshold value and the degree of matching between the search keyword and at least two predetermined keywords is close to the second predetermined threshold value, 2 < / RTI > association type.

In some embodiments, the information set to be pushed includes a first set of information to be pushed, obtained from a general purpose information database to be pushed, and a second set of information to be pushed, obtained from a predetermined information database to be pushed , The push position determination unit arranges all pieces of information to be pushed out of the information set to be pushed to be pushed in front of all pieces of information to be pushed out of the information set to be pushed first when the association type is the first association type, The information set to be pushed and the information to be pushed in the second set of information to be pushed are selected based on the degree of matching between the information to be pushed and the search keyword, The push order of the information to be pushed in the information set If the association type is the second association type, the degree of matching between the information to be pushed and the search keyword is determined based on the information to be pushed in the first set of information to be pushed and the second set of information to be pushed, , And the web page generation unit sets the push information to be pushed according to the determined push order to the corresponding push position of the web page to generate a new web page .

In some embodiments, the information set to be pushed includes a first set of information to be pushed, obtained from a general purpose information database to be pushed, and a second set of information to be pushed, obtained from a predetermined information database to be pushed , The push position determination unit sets the push position of all of the information to be pushed in the second set of information to be pushed to the first predetermined position of the web page when the association type is the first association type, The push position of the information to be pushed in the information set is set to a position other than the first predetermined position of the web page and the push position of the information to be pushed in the first set of information to be pushed and the pushed information to be pushed , Based on the matching degree of the information to be pushed and the search keyword, And the push order of the information to be pushed on the positions other than the first predetermined position, and when the association type is the second association type, determining the push order of the information to be pushed and the information to be pushed The pushing order of the information to be pushed is determined based on the matching degree of the information to be pushed and the search keyword with respect to the information to be pushed, And set the desired information at the corresponding push position of the web page to generate a new web page.

In some embodiments, the obtaining unit obtains all or a first predetermined number of pieces of information to be pushed corresponding to a search keyword from a predetermined information database to be pushed, and pushes When the quantity of information to be pushed is equal to or larger than the second predetermined quantity, information to be pushed by the second predetermined quantity is selected according to the degree of matching, and the quantity of information to be pushed 2 < / RTI > is smaller than the predetermined amount, the remaining information to be pushed is obtained from the general purpose information database to be pushed.

In some embodiments, the acquiring unit acquires from the predetermined information database to be pushed, information to be pushed in a quantity or a first predetermined quantity corresponding to the search keyword and suitable for the first predetermined position, and information If the number of pieces of information to be pushed acquired from the database is equal to or larger than the second predetermined amount, information to be pushed by the second predetermined quantity is selected according to the degree of matching, When the number of pieces of information to be pushed is smaller than the second predetermined amount, the remaining information to be pushed is obtained from the general purpose information database to be pushed.

In some embodiments, the predetermined word surrounding the predetermined keyword includes a predetermined keyword and a predetermined keyword surrounding word generated based on the predetermined service related to the predetermined keyword. And / or a predetermined keyword-based keyword generated based on a predetermined keyword and a predetermined product related to the predetermined keyword.

In a third aspect, the present application provides a web page server, wherein the web page server comprises the apparatus of the second aspect.

In a fourth aspect, the present application provides a device comprising: one or more processors; And a storage device for storing one or more programs, wherein when one or more programs are executed by one or more processors, the one or more processors execute a method of generating a web page .

A method and apparatus for generating a web page provided by the present application are characterized by first obtaining an information set to be pushed corresponding to a search keyword based on a search keyword in a search request and then associating the search keyword with a predetermined keyword set Based on the relationship type, the push position of each piece of information to be pushed in the acquired information set to be pushed is determined, and finally, the information to be pushed is set on the web page according to the determined push position, . Thus, even when a user searches for a neighboring word of a brand word, the efficiency of information push can be improved by accurately identifying it.

Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments, which proceeds with reference to the accompanying drawings.
1 is an exemplary system architecture diagram to which the present application is applicable.
2 is a flow diagram of one embodiment of a method for generating a web page according to the present application.
3A shows a flowchart of an example of determining the push position of each piece of information to be pushed in the acquired information set to be pushed according to the present application.
FIG. 3B shows a flowchart of another example of determining the push position of each piece of information to be pushed in the acquired information set to be pushed according to the present application. FIG.
4 is an illustration of an application scene of a method for generating a web page according to the present application.
5A shows a flowchart of one improved example of obtaining a set of information to be pushed corresponding to a search keyword.
Figure 5B shows a flowchart of another improved example of obtaining a set of information to be pushed corresponding to a search keyword.
Figure 6 shows a flow diagram of an improved example of determining an association type between a search keyword and a given set of keywords.
7 is an exemplary configuration diagram of an embodiment of an apparatus for generating a web page according to the present application.
8 shows a structural schematic diagram of a web page server according to the present application.
9 is a structural schematic diagram of a computer system suitable for implementing the server of the presently filed embodiment.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are for purposes of describing the invention only and are not intended to limit the invention. Further, for convenience of explanation, only the parts related to the present invention are shown in the drawings.

The features of the embodiments and the embodiments of the present invention can be combined with one another so long as they are not contradictory to each other. Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 illustrates an exemplary system architecture 100 that may be adapted to implement an embodiment of a method and apparatus for generating a web page of the present application.

As shown in FIG. 1, the system architecture 100 may include terminal devices 101, 102, and 103, a network 104, and a server 105. The network 104 is a medium that provides a communication link between the terminal devices 101, 102, 103 and the server 105. The network 104 may include any type of connection, such as a wired, wireless communication link, or fiber optic cable.

The user can interact with the server 105 through the network 104 using the terminal devices 101, 102, and 103 to log in to the website or receive or send messages. Various communication client applications may be installed in the terminal devices 101, 102, 103, such as a web browser application, a shopping cart application, a search stream application, an instant messaging tool, an email client or social platform software.

The terminal devices 101, 102, 103 may be various electronic devices including a display screen and supporting web browsing, including but not limited to smart phones, tablet PCs, laptop computers, and desktop computers.

The server 105 may be a server capable of providing various services and may be, for example, a back-end web server that provides support for web pages displayed on the terminal devices 101, 102, The back-end web server can process the data such as the received search request and analyze the data to feed back processing results (for example, web page data) to the terminal device.

The method of generating the web page provided in the embodiment of the present application is generally executed by the server 105, and therefore the apparatus for generating the web page is generally installed in the server 105. [

The number of terminal devices, networks, and servers in FIG. 1 is exemplary only, and may include any number of terminal devices, networks, and servers depending on the needs of the implementation.

Referring now to FIG. 2, FIG. 2 illustrates a flow 200 of one embodiment of a method for generating a web page according to the present application. The method of generating the web page includes the following steps.

In step 201, a search request sent from the client is received.

In the present embodiment, an electronic device (for example, the server 105 shown in FIG. 1) in which a method of generating a web page is executed is a method in which a user uses web page browsing through a wired connection method or a wireless connection method Receiving a search request from the terminal, wherein the search request may include a search keyword.

In the present embodiment, the electronic device can perform a semantic analysis on the received search request to extract a search keyword inputted by the user. Here, the search keyword may be the complete search information input by the user, the information obtained by removing useless information from the search information input by the user, or the key information extracted from the search information input by the user. For example, if the user enters the "XX car insurance calculator ", the search keyword may be" XX car insurance calculator ", and if the user inputs "XX car insurance calculator tool & "And" tool "to remove the search keyword" XX car insurance calculator ". If the user enters "XX child insurance and YY home insurance", the search keywords may be "XX child insurance" and "YY home insurance", where "XX" and "YY" Lt; / RTI >

In step 202, the set of information to be pushed corresponding to the search keyword is obtained.

In this embodiment, based on the search keyword acquired in step 201, the electronic device can search the information database to be pushed, which corresponds to the search keyword, from the information database to be pushed. Here, the set of information to be pushed corresponding to the search keyword may include at least one information to be pushed corresponding to the search keyword. For example, when the search keyword is "XX car insurance calculator ", the information set to be pushed corresponding to" XX car insurance calculator "is related to information to be pushed" XX & And may include at least one information to be pushed.

Preferably, the information database to be pushed includes a general purpose information database to be pushed and a predetermined information database to be pushed corresponding to a predetermined keyword. Here, the general purpose information database to be pushed is an information provider that does not have a specified authority (for example, a brand zone authority), such as an information provider who wants to push it, for example, Quot; The predetermined information database to be pushed stores predetermined information to be pushed corresponding to a predetermined keyword, which is provided by a specific pushed information provider having a specified authority (for example, brand zone authority). In this case, the electronic device can acquire a set of information to be pushed corresponding to a search keyword from a general purpose information database to be pushed and a predetermined pushed information database corresponding to a predetermined keyword. The information set to be pushed includes a first set of information to be pushed, which is composed of information to be pushed, acquired from a general-purpose information database to be pushed, and a second push Lt; / RTI > information set.

In step 203, an association type between the search keyword and the predetermined keyword set is determined.

In the present embodiment, based on the search keyword acquired in step 201, the electronic device conducts analysis on the search keyword and the predetermined keyword set, and according to the analysis result, Can be obtained. Here, the predetermined keyword set may include a predetermined keyword, and the predetermined keyword may be a brand word.

In this embodiment, when the analysis result is different, the association type between the search keyword and the predetermined keyword may be different. In one example of the present application, an association type may include a strong association type (i.e., a first association type of the present application) and a weak association type (i.e., a second association type of the present application) . For example, when the analysis result indicates a relatively high degree of matching between the search keyword and the predetermined keyword set, the association type between the search keyword and the predetermined keyword set can be regarded as a strong association type. If not, The type of association between a keyword and a predetermined keyword set can be viewed as a weak association type.

In some selectable implementations of this embodiment, a given set of keywords may include certain keywords and words around certain keywords. The word around the predetermined keyword may be a keyword associated with a predetermined keyword, for example, a keyword related to a predetermined keyword set by an information provider who wants to push with a brand zone authority. In some selectable implementations of the present embodiment, the predetermined keyword surrounding words may include a predetermined keyword, a word around a predetermined keyword generated based on a predetermined service related to the predetermined keyword, and / or a predetermined keyword and a predetermined product And may include a predetermined keyword surrounding the keyword. For example, if the predetermined keyword is "XX ", a predetermined keyword surrounding word may be" XX vehicle insurance calculator ", where "vehicle insurance calculator"

In this case, the electronic device first determines the matching relationship between the search keyword and the predetermined keyword and the word around the predetermined keyword based on the semantic analysis result of the search keyword, and then, based on the determined matching relation, The type of association between sets can be determined. For example, the electronic device first carries out character-by-character matching for a search keyword, a predetermined keyword, and a word around a predetermined keyword, and then, if the search keyword includes a predetermined keyword and is the same as a word corresponding to one corresponding predetermined keyword , It is determined that the matching degree between the search keyword and the predetermined keyword and the word around the predetermined keyword is relatively high, that is, the association type between the search keyword and the predetermined keyword set is strong. If not, it is determined that the degree of matching between the search keyword, the predetermined keyword, and the words around the predetermined keyword is relatively low, that is, the affinity type between the search keyword and the predetermined keyword set is weak.

In step 204, based on the association type between the search keyword and the predetermined keyword set, the push position of each piece of information to be pushed in the acquired information set to be pushed is determined.

In this embodiment, based on the information set to be pushed corresponding to the search keyword acquired in step 202 and the association type between the search keyword acquired in step 203 and the predetermined keyword set, The push position of each piece of information to be pushed in the information set to be pushed can be determined.

In this embodiment, if the association type between the search keyword and the predetermined keyword set is different from each other, the push position of each piece of information to be pushed in the acquired information set to be pushed may be different from each other.

For example, as shown in FIG. 3A, when the association type between the search keyword and the predetermined keyword set is a strong association type, the steps 311a and 312a are executed in succession. As shown in step 311a, the electronic device transmits all of the information to be pushed out of the information set to be pushed, obtained from the information database to be pushed, to the first push All of the information sets to be pushed can be arranged in front of the information to be pushed, and as shown in step 312a, the electronic device transmits information to be pushed to the first set of information to be pushed, The push order of the information to be pushed in the first set of information to be pushed and the information to be pushed in the second set of information to be pushed can be determined based on the matching degree of the information to be pushed and the search keyword. If the association type between the search keyword and the predetermined keyword set is a weak association type, the step 321a is executed continuously. As shown in step 321a, the electronic device determines the degree of matching between the information to be pushed and the search keyword for each piece of information to be pushed in the first set of information to be pushed and the second set of information to be pushed , The push order of the information to be pushed can be determined.

As another example, if the association type between the search keyword and the predetermined keyword set is a strong association type as shown in Fig. 3B, the step 311b and the step 312b are executed in succession. As shown in step 311b, the electronic device sets the push position of all of the information to be pushed in the second set of information to be pushed, obtained from the information database to be pushed, to the first predetermined position of the web page , It is possible to set the push position of all the information to be pushed in the information set to be pushed to be obtained from the general purpose information database to be pushed to a position other than the first predetermined position of the web page, Likewise, based on the degree of matching between the information to be pushed and the search keyword, the electronic apparatus determines a first predetermined position and a second predetermined position based on the information to be pushed and the matching degree of the search keyword, The pushing order of the information to be pushed on the position other than the first predetermined position can be determined. If the association type between the search keyword and the predetermined keyword set is a weak association type, step 321b is executed. As shown in step 321b, the electronic device determines the degree of matching between the information to be pushed and the search keyword for each piece of information to be pushed in the first set of information to be pushed and the second set of information to be pushed , The push order of the information to be pushed can be determined. Here, the first predetermined position may be a relatively prominent position on the web page, and may be, for example, the first position of the web page or the central position of the web page. In this embodiment, Not limited.

In step 205, information to be pushed is set on the web page in accordance with the determined push position, and a new web page is created.

In this embodiment, based on the push position of each piece of information to be pushed, which is obtained in step 204, the electronic device transmits information to be pushed according to the push position of the information to be pushed, So that a new web page can be created.

In the example of determining the push position of each piece of information to be pushed in the acquired information set to be pushed shown in Fig. 3A, the information to be pushed is set on the web page according to the determined push position, Creating a page may be to create a new web page by setting each pushing information to a corresponding push position of the web page according to a determined push order.

In the example of determining the push position of each piece of information to be pushed in the obtained information set to be pushed shown in FIG. 3B, the information to be pushed is set on the web page according to the determined push position, Creating a page may be to create a new web page by setting each pushing information to a corresponding push position of the web page according to a determined push order.

Referring now to FIG. 4, FIG. 4 illustrates an exemplary application of a method for generating a web page according to the present embodiment. 4, the user first enters "XX car insurance calculator" in the input window, clicks the search button to initiate a search request, and then the web page server performs semantic analysis on the search request The web page server can acquire the search keyword "XX car insurance calculator ", and then the web page server can acquire the information set to be pushed corresponding to the" XX car insurance calculator " The information set may include information to be pushed corresponding to "XX", "YY" and "ZZ", "XX", "YY" and "ZZ" may be different insurance brand words, "YY" And "ZZ" products include a vehicle insurance calculator. The Web page server can then determine the type of association between the "XX car insurance calculator" and a given set of keywords, and finally, the web page server will search for "XX," And "ZZ " are sequentially set on a web page in the order from top to bottom to generate a new web page. When the user browses a new web page, the push information is displayed as shown in FIG.

The method provided in the above-described embodiment of the present application first acquires an information set to be pushed corresponding to the search keyword based on the search keyword in the search request, and then acquires an association between the search keyword and the predetermined keyword set Based on the type, the push position of each piece of information to be pushed in the obtained information set to be pushed is determined, and finally, the information to be pushed according to the determined push position is set on the web page, . Thus, even when a user searches for a surrounding word of a brand word, the efficiency of information pushing can be improved by proceeding with accurate identification.

Preferably, in another embodiment of the method of generating a web page according to the present application, the step of obtaining the information set to be pushed corresponding to the search keyword in Fig. 2 (i.e., step 202) may be improved .

5A shows a flowchart of one improved example of obtaining a set of information to be pushed corresponding to a search keyword. As shown in FIG. 5A, in step 511a, the electronic device can obtain all or a first predetermined amount of information to be pushed corresponding to a search keyword from a predetermined information database to be pushed. Then, in step 512a, it is determined whether the quantity of information to be pushed, obtained from a predetermined information database to be pushed, is equal to or greater than a second predetermined quantity. Then, in step 513a, if the quantity of information to be pushed, obtained from a predetermined information database to be pushed, is equal to or greater than the second predetermined quantity, then the electronic device will attempt to push a second predetermined quantity If the number of pieces of information to be pushed to be acquired from the predetermined information database to be pushed is smaller than the second predetermined amount in step 523a, the electronic device transmits, from the information database to be pushed, It is possible to acquire the desired information. Here, since the second predetermined quantity may be the number of all pieces of information to be pushed in the web page, all pieces of information to be pushed in the information set to be pushed corresponding to the acquired search keyword are all set on the web page , The user can browse the information to be pushed corresponding to a sufficient number of search keywords with a single search request, thereby reducing the search time of the user and improving the search efficiency.

Figure 5B shows a flowchart of another improved example of obtaining a set of information to be pushed corresponding to a search keyword. As shown in FIG. 5B, in step 511b, the electronic device obtains a quantity or a first predetermined quantity of information to be pushed in a first predetermined position corresponding to a search keyword from a predetermined information database to be pushed . Then, in step 512b, it is determined whether the quantity of information to be pushed, obtained from a predetermined information database to be pushed, is equal to or greater than a second predetermined quantity. Then, in step 513b, if the quantity of information to be pushed, obtained from a predetermined information database to be pushed, is equal to or greater than the second predetermined quantity, then the electronic device will attempt to push a second predetermined quantity In step 523b, if the number of pieces of information to be pushed to be obtained from the predetermined information database to be pushed is smaller than the second predetermined amount, the electronic device selects the information to be pushed from the general- Information to be pushed can be obtained. Here, since the second predetermined quantity may be the number of all pieces of information to be pushed in the web page, all pieces of information to be pushed in the information set to be pushed corresponding to the acquired search keyword are all set on the web page , The user can browse the information to be pushed corresponding to a sufficient number of search keywords with a single search request, thereby reducing the search time of the user and improving the search efficiency.

In the example shown in FIGS. 5A and 5B, the electronic device acquires only a predetermined amount of information to be pushed, which is suitable for a web page to be pushed, but does not acquire all the information to be pushed corresponding to the search keyword . Here, the example shown in Fig. 5A corresponds to the method of determining the push position shown in Fig. 3A described above, and the example shown in Fig. 5B corresponds to the method of determining the push position shown in Fig. 3B described above.

Also, preferably, in another embodiment of the method of generating a web page according to the present application, the step of determining the association type between the search keyword and the predetermined keyword set in Fig. 2 (i.e., step 203) The following improvements can be made.

Figure 6 shows a flow diagram of an improved example of determining an association type between a search keyword and a given set of keywords.

As shown in FIG. 6, first, in step 601, it is determined whether a predetermined keyword set includes a plurality of predetermined keywords. If a plurality of predetermined keywords are included, the process proceeds to step 602. If a plurality of predetermined keywords are not included, the process proceeds to step 603.

In step 602, it is determined whether the degree of matching between the search keyword and at least two predetermined keywords is greater than a first predetermined threshold value. If both the search keyword and the degree of matching of at least two predetermined keywords are both greater than the first predetermined threshold value, the process proceeds to step 604. In step 604, the association type between the search keyword and the predetermined keyword set is determined to be a second association type (i.e., a weak association type).

In step 603, it is determined whether the degree of matching between the search keyword and the predetermined keyword is greater than a first predetermined threshold value. If the degree of matching between the search keyword and the predetermined keyword is larger than the first predetermined threshold value, the process proceeds to step 605. In step 605, the association type between the search keyword and the predetermined keyword set is determined as the first association type (i.e., strong association type).

If the matching degree of the search keyword and the predetermined keyword is not larger than the first predetermined threshold, the process proceeds to step 606. [ In step 606, it is determined whether the matching degree of the search keyword and the word around the predetermined keyword is greater than a second predetermined threshold value. If the matching degree of the search keyword and the word around the predetermined keyword is larger than the second predetermined threshold, the process proceeds to step 605. [ If the matching degree of the search keyword and the word around the predetermined keyword is not larger than the second predetermined threshold value, the process proceeds to step 604.

If both the search keyword and the degree of matching of at least two predetermined keywords are not larger than the first predetermined threshold value, the process proceeds to step 607. In step 607, it is determined whether the matching degree of the search keyword and one of the predetermined keywords is greater than a first predetermined threshold value. If the matching degree of the search keyword and the predetermined keyword of one of the search keyword is larger than the first predetermined threshold value, the process proceeds to step 605, and if not, the process proceeds to step 608.

If the matching degree of the search keyword and all of the predetermined keywords is not larger than the first predetermined threshold, the process proceeds to step 608. [ In step 608, it is determined whether the matching degree of the search keyword and the word around a predetermined keyword of only one predetermined keyword is greater than a second predetermined threshold value. If the matching degree of the search keyword and the word around the predetermined keyword of only one predetermined keyword is larger than the second predetermined threshold value, the process proceeds to step 605. When the degree of matching between the search keyword and at least two predetermined keywords is not greater than the second predetermined threshold value or when the degree of matching between the search keyword and at least two predetermined keywords is close to a second predetermined threshold value, The process proceeds to step 604.

It should be noted that the first predetermined threshold value and the second predetermined threshold value in the above-described steps may be preset system default settings, and the present invention is not limited to the specific values.

Other examples of determining the type of association between a search keyword of the present application and a given set of keywords preferably include the steps 601, 602, 604, 607, and 608 described above .

Referring now to Figure 7, as an implementation of the method illustrated in each of the above figures, the present application provides an embodiment of an apparatus for generating a web page, the apparatus embodiment being similar to the method embodiment shown in Figure 2 And the corresponding device can be specifically applied to various electronic devices.

7, the apparatus 700 for generating a web page in this embodiment includes a receiving unit 701, an acquiring unit 702, an affinity type determining unit 703, a push position confirming unit 704 And a web page creation unit 705. [ Here, the receiving unit 701 is configured to receive a search request including a search keyword sent from a client, and the obtaining unit 702 is configured to obtain a set of information to be pushed corresponding to the search keyword, The type determination unit 703 is configured to determine an association type between a search keyword and a predetermined keyword set, and the push position determination unit 704 determines a push position based on the acquired push type The web page generation unit 705 is configured to set the push position of each piece of information to be pushed in the desired information set, and the web page creation unit 705 sets the information to be pushed according to the determined push position on the web page, .

In the present embodiment, the receiving unit 701 of the web page generating apparatus 700 can receive a search request from a terminal used by a user in browsing a web page through a wired connection method or a wireless connection method, The request may include a search keyword.

In the present embodiment, based on the search keyword obtained by the receiving unit 701, the obtaining unit 702 can retrieve the information set to be pushed corresponding to the search keyword from the information database to be pushed.

Preferably, the information database to be pushed includes a general purpose information database to be pushed and a predetermined information database to be pushed corresponding to a predetermined keyword. Here, the general purpose information database to be pushed is an information provider that does not have a specified authority (for example, a brand zone authority), a general information provider who wants to push the information, for example, Quot; The predetermined information database to be pushed stores predetermined pushed information corresponding to a predetermined keyword provided by a specific information provider who wants to pushed with a specified authority (for example, brand zone authority). In this case, the acquiring unit 702 can acquire a set of information to be pushed corresponding to a search keyword from a general purpose information database to be pushed and a predetermined push information database corresponding to a predetermined keyword. The information set to be pushed includes a first set of information to be pushed, which is composed of information to be pushed, acquired from a general-purpose information database to be pushed, and a second push Lt; / RTI > information set.

In this embodiment, based on the search keyword acquired by the receiving unit 701, the affinity type determination unit 703 analyzes the search keyword and the predetermined keyword set, An association type between the keyword sets can be obtained. Here, the association type may include a strong association type (i.e., the first association relationship type of the present application) and a weak association type (i.e., the second association relationship type of the present application).

In some selectable implementations of this embodiment, a given set of keywords may include certain keywords and words around certain keywords. The word around the predetermined keyword may be a keyword associated with a predetermined keyword, for example, a keyword related to a predetermined keyword set by an information provider who desires to have a brand zone authority. In some selectable implementations of the present embodiment, the predetermined keyword surrounding words may include a predetermined keyword, a word around a predetermined keyword generated based on a predetermined service related to the predetermined keyword, and / or a predetermined keyword and a predetermined product And may include a predetermined keyword surrounding the keyword.

In this case, the association type determination unit 703 may include a matching relationship determination module (not shown) and an association type determination module (not shown). First, the matching relation determination module (not shown) Based on the semantic analysis result of the search keyword, the matching relation between the search keyword and the predetermined keyword and the word around the predetermined keyword can be determined, and then the association type determination module (not shown) It is possible to determine an association type between predetermined keyword sets.

In this embodiment, based on the information set to be pushed corresponding to the search keyword acquired by the acquisition unit 702 and the association type between the search keyword and the predetermined keyword set acquired by the association type determination unit 703 , The push position determination unit 704 can determine the push position of each piece of information to be pushed in the obtained information set to be pushed.

In the present embodiment, when the association types between the search keyword and the predetermined keyword set are different from each other, the push positions of the information to be pushed among the information sets to be pushed, acquired by the push position determination unit 704, have.

For example, when the association type between the search keyword and the predetermined keyword set is a strong association type, the push position determination unit 704 determines that all the pushes in the second set of information to be pushed The information to be pushed can be arranged in front of all the information to be pushed in the first set of information to be pushed obtained from the information database to be pushed for general purpose, and the information to be pushed and the information to be pushed The push order of the information to be pushed and the information to be pushed in the second set of information to be pushed are determined based on the matching degree of the information to be pushed and the search keyword with respect to the information to be pushed can do. When the association type between the search keyword and the predetermined keyword set is a weak association type, the push location determination unit 704 determines, for each of the information sets to be pushed and the information to be pushed, The push order of the information to be pushed can be determined based on the matching degree of the information to be pushed and the search keyword.

As another example, when the association type between the search keyword and the predetermined keyword set is a strong association type, the push position determination unit 704 determines that the push position determination unit 704 determines, The push position of all the information to be pushed is set to the first predetermined position of the web page and the push position of all of the information to be pushed in the first set of information to be pushed, Based on the degree of matching between the information to be pushed and the search keyword for each piece of information to be pushed in the first set of information to be pushed and the second set of information to be pushed, The position of each of the pieces of information to be pushed on the positions other than the first predetermined position and the first predetermined position The push order can be determined. When the association type between the search keyword and the predetermined keyword set is a weak association type, the push location determination unit 704 determines, for each of the information sets to be pushed and the information to be pushed, The push order of the information to be pushed can be determined based on the matching degree of the information to be pushed and the search keyword. In the present embodiment, based on the push position of each piece of information to be pushed, which is obtained by the push position determination unit 704, the web page creation unit 705 generates a web page to be pushed according to the push position of the information to be pushed A new web page can be created by setting information corresponding to the corresponding position of the web page.

In the case of the example in which the push position of each piece of information to be pushed in the information set to be pushed acquired by the push position determination unit 704 of another example described above is determined, the web page creation unit 705 determines In order to create a new web page by setting the information to be pushed on the web page according to the position, the web page creation unit 705 sets the information to be pushed according to the determined push order to the corresponding push position To create a new web page.

Preferably, in an alternative embodiment of the apparatus for generating a web page according to the present application, the function (i.e., step 202) of the acquisition unit 702 in FIG. 7 may be further improved.

For example, the obtaining unit 702 can obtain all or a first predetermined number of pieces of information to be pushed corresponding to a search keyword from a predetermined information database to be pushed, When the quantity of information to be pushed is equal to or larger than the second predetermined quantity, information to be pushed by the second predetermined quantity is selected according to the degree of matching, and the quantity of information to be pushed Is smaller than the second predetermined amount, the remaining information to be pushed can be obtained from the general purpose information database to be pushed. Here, since the second predetermined quantity may be the number of all pieces of information to be pushed in the web page, all pieces of information to be pushed in the information set to be pushed corresponding to the acquired search keyword are all set on the web page , The user can browse the information to be pushed corresponding to a sufficient number of search keywords with a single search request, thereby reducing the search time of the user and improving the search efficiency.

Alternatively, the acquiring unit 702 may acquire a quantity of information suitable for a first predetermined position or information to be pushed for a first predetermined quantity corresponding to a search keyword from a predetermined information database to be pushed, If the number of pieces of information to be pushed acquired from the information database to be pushed is equal to or greater than the second predetermined amount, information to be pushed by the second predetermined amount is selected according to the degree of matching, If the quantity of information to be pushed is smaller than the second predetermined quantity, the electronic device can acquire the remaining information to be pushed from the information database to be pushed for general use. Here, since the second predetermined quantity may be the number of all pieces of information to be pushed in the web page, all pieces of information to be pushed in the information set to be pushed corresponding to the acquired search keyword are all set on the web page , The user can browse the information to be pushed corresponding to a sufficient number of search keywords with a single search request, thereby reducing the search time of the user and improving the search efficiency.

Further, in another embodiment of the apparatus for generating a web page according to the present application, preferably, the following improvements may be made to the function of the association type determination module (not shown).

For example, when a predetermined number of predetermined keywords are not included in a predetermined keyword set, the matching degree between the search keyword and the predetermined keyword is greater than the first predetermined threshold value, or the matching degree between the search keyword and the predetermined keyword is less than the second predetermined threshold value The association type determination module (not shown) can determine the association type between the search keyword and the predetermined keyword set as the first association type, and the matching degree between the search keyword and the predetermined keyword is greater than the first predetermined threshold If the matching degree of the search keyword and the word around the predetermined keyword is not larger than the second predetermined threshold value, the association type determination module (not shown) sets the association type between the search keyword and the predetermined keyword set as the second association type Can be confirmed.

For example, when a predetermined number of keywords are included in a predetermined keyword set, the matching degree of only one predetermined keyword among the search keyword and the predetermined keyword set is larger than the first predetermined threshold, or only one predetermined keyword When the matching degree of a word around a predetermined keyword is greater than a second predetermined threshold value, the association type determination module (not shown) can determine the association type between the search keyword and the predetermined keyword set as the first association type, When the degree of matching of at least two predetermined keywords among the keyword and the predetermined keyword set is larger than the first predetermined threshold value, the association type determination module (not shown) associates the association type between the search keyword and the predetermined keyword set as a second association And the matching degrees of the search keyword and the predetermined keyword are both not greater than the first predetermined threshold value, If the degree of keyword matching words around not more than the second predetermined threshold value, affinity type confirmation module (not shown) it may determine the association between the search keywords and the type of a predetermined set of keywords in a second affinity type. Or if the degree of matching between the search keyword and the predetermined keyword is not larger than the first predetermined threshold value and the degrees of matching of the search keyword and the words around the predetermined keyword of at least two predetermined keywords are both greater than the second predetermined threshold value, (Not shown) can determine the association type between the search keyword and the predetermined keyword set as the second association type.

As shown in FIG. 8, the present application further provides an embodiment of a web page server. In this embodiment, the web page server 800 may include an apparatus for generating the web page described in the embodiment corresponding to Fig.

9 shows a structural schematic diagram of a computer system 900 suitable for implementing the server of the presently filed embodiment.

9, the computer system 900 includes one or more processors (illustratively, only one processor is shown in FIG. 9), which is connected to the memory device 902 , It is possible to perform various appropriate operations and processes. When the one or more programs are executed by the one or more processors, cause the one or more processors to execute the methods described in the embodiment as described above. The processor 901 and the memory device 902 are interconnected via a bus 903. An input / output (I / O) interface 904 is also coupled to the bus 903.

An input unit 905 including a sensor and the like, an output unit 906 including, for example, a virtual reality display device and a speaker, and a hard drive and the like, which are connected to the I / O interface 904 An external storage unit 907, and a communication unit 908 including a network interface card such as a wireless wifi network card. The communication unit 908 performs communication processing through a network such as the Internet.

In particular, and in accordance with the embodiments of the present disclosure, the processes described with reference to the flowcharts may be implemented in computer software programs. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program tangibly embodied on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart . In this embodiment, the computer program can be downloaded and installed from the network via the communication unit 908 and / or installed from the external storage unit 907. [

The flowcharts and block diagrams in the accompanying drawings illustrate the system structures, functions, and operations of the systems, methods, and computer program products according to the embodiments of the present application. In this regard, each of the flowcharts or block diagrams may represent a module, a program segment, or a portion of a code, and the module, program segment, or portion of code may be implemented as one or more implementations Possible commands are included. It should be noted that, for some alternative implementations, the functions indicated in the blocks may occur in an order different from that shown in the accompanying drawings. For example, two sequentially displayed blocks may actually be executed almost simultaneously, or in some cases in an opposite order, depending on the function involved. Each block and / or block diagram in the block diagrams and / or flowchart diagrams and / or combinations of blocks in the flowchart illustrations may be implemented by a dedicated hardware-based system that performs the prescribed functions or operations, or may be implemented in a combination of dedicated hardware and computer instructions .

The associated units described in the embodiments of the present application may be implemented in software or hardware manner. The described unit may be installed in the processor, for example, the processor may be described as including a receiving unit, an acquisition unit and an association type confirmation unit, a push location confirmation unit, and a web page creation unit. Here, the names of these units are not limited to the units in some cases. For example, the receiving units may be described as "units receiving search requests sent from clients ".

In another aspect, the present application further provides a non-volatile computer storage medium, wherein the non-volatile computer storage medium is a non-volatile computer storage medium contained in the apparatus of the embodiments described above, Or non-volatile computer storage media that is not installed. The non-volatile computer storage medium stores one or a plurality of programs, and when one or a plurality of programs are executed by one apparatus, the apparatus receives a search request including a search keyword sent from a client, The method comprising the steps of: obtaining an information set to be pushed corresponding to a keyword, determining an association type between the search keyword and a predetermined keyword set, and based on an association type between the search keyword and the predetermined keyword set, The push position of each piece of information to be pushed in the information set is determined and the information to be pushed is set in the web page according to the determined push position to generate a new web page.

The foregoing description is only a description of the preferred embodiments of the present application and the technical principles employed. It will be understood by those skilled in the art that the scope of the present invention is not limited to the technical solutions made up of specific combinations of the technical features but can be applied to any combination of the technical features or their equivalent features without departing from the gist of the invention , And other technical measures, including, for example, technical features that have been replaced with technical features having similar features as those disclosed in this application, but which are not limited thereto.

Claims (22)

Receiving a search request including a search keyword sent from a client;
Obtaining a set of information to be pushed corresponding to the search keyword;
Determining an association type between the search keyword and a predetermined keyword set;
Determining a push position of each piece of information to be pushed in the acquired information set to be pushed based on an association type between the search keyword and the predetermined keyword set; And
And generating a new web page by setting the information to be pushed on the web page according to the determined push position. The method according to claim 1,
Wherein the step of acquiring an information set to be pushed corresponding to the search keyword comprises:
And a step of obtaining a set of information to be pushed corresponding to the search keyword from a general purpose information database to be pushed and a predetermined information database to be pushed corresponding to the predetermined keyword Way. 3. The method according to claim 1 or 2,
Wherein the predetermined keyword set includes a predetermined keyword and a corresponding surrounding word of a predetermined keyword,
Wherein the step of determining an association type between the search keyword and a predetermined keyword set comprises:
Determining a matching relation between the search keyword, the predetermined keyword, and a word around the predetermined keyword based on a result of semantic analysis of the search keyword; And
And determining an association type between the search keyword and the predetermined keyword set based on the determined matching relationship. The method of claim 3,
The association type includes a first association type and a second association type,
Determining an association type between the search keyword and the predetermined keyword set based on the determined matching relation,
When the degree of matching between the search keyword and the predetermined keyword is greater than a first predetermined threshold or when the degree of matching between the search keyword and the predetermined keyword is greater than a second predetermined threshold value, Establishing a relationship type as the first association type; And
When the degree of matching between the search keyword and the predetermined keyword is not greater than the first predetermined threshold value and the degree of matching between the search keyword and the word around the predetermined keyword is not greater than the second predetermined threshold value, Establishing an association type between the first association type and the second association type. The method of claim 3,
Wherein the association type includes a first association type and a second association type, the predetermined keyword in the predetermined keyword set includes a plurality of predetermined keywords,
Determining an association type between the search keyword and the predetermined keyword set based on the determined matching relation,
If the matching degree of the search keyword and only one predetermined keyword among the predetermined keyword set is larger than the first predetermined threshold value or the matching degree of the search keyword and the word around the predetermined keyword of only one predetermined keyword is greater than the second predetermined threshold value Determining an association type between the search keyword and the predetermined keyword set as the first association type;
If the matching degree of at least two predetermined keywords among the search keyword and the predetermined keyword set is greater than the first predetermined threshold value, the association type between the search keyword and the predetermined keyword set is determined as the second association type ;
When the degree of matching between the search keyword and the predetermined keyword is not larger than the first predetermined threshold and the degree of matching between the search keyword and the word around the predetermined keyword is not greater than the second predetermined threshold value, Establishing an association type between the sets as the second association type; And
When the degree of matching between the search keyword and the predetermined keyword is not greater than the first predetermined threshold value and the degree of matching between the search keyword and the words around the predetermined keyword of the at least two predetermined keywords is greater than the second predetermined threshold value, And establishing an association type between the search keyword and the predetermined keyword set as the second association type. The method according to claim 4 or 5,
Wherein the information set to be pushed includes a first set of information to be pushed obtained from a general purpose information database to be pushed and a second set of information to be pushed obtained from a predetermined information database to be pushed,
Determining a push position of each piece of information to be pushed in the obtained information set to be pushed based on an association type between the search keyword and the predetermined keyword set,
Arranges all pieces of information to be pushed out of the information set to be pushed to be pushed in front of all pieces of information to be pushed in the first pushed information set when the association type is the first association type, Based on a matching degree of each information to be pushed and a search keyword, the information set to be pushed and the information to be pushed in the second set of information to be pushed, Determining a push order of each of the information to be pushed in the information set to be pushed; And
And for each information to be pushed in the first set of information to be pushed and the second set of information to be pushed, if the association type is the second association type, Determining a push order of the information to be pushed based on the degree of the push,
Wherein the step of generating a new web page by setting information to be pushed on the web page according to the determined push position,
And generating a new web page by setting the information to be pushed according to the determined push position at a corresponding push position of the web page. The method according to claim 4 or 5,
Wherein the information set to be pushed includes a first set of information to be pushed, obtained from a general-purpose information database to be pushed, and a second set of information to be pushed, obtained from a predetermined information database to be pushed,
Determining a push position of each piece of information to be pushed in the obtained information set to be pushed based on an association type between the search keyword and the predetermined keyword set,
Setting a push position of all the information to be pushed in the second set of information to be pushed to a first predetermined position of the web page when the association type is the first association type, Sets the push position of the information to be pushed in the web page to a position other than the first predetermined position of the web page and sets the push position of the information to be pushed in the first set of information to be pushed and the pushed information to be pushed Determining a push order of each information to be pushed on a position other than the first predetermined position and the first predetermined position based on a degree of matching between the information to be pushed and the search keyword; And
And for each information to be pushed in the first set of information to be pushed and the second set of information to be pushed, if the association type is the second association type, Determining a push order of the information to be pushed based on the degree of the push,
Wherein the step of generating a new web page by setting information to be pushed on the web page according to the determined push position,
And generating a new web page by setting the information to be pushed at a corresponding push position of the web page according to the determined push order. The method according to claim 6,
The step of acquiring the information set to be pushed corresponding to the search keyword from the general purpose information database to be pushed and the predetermined push information database corresponding to the predetermined keyword,
Obtaining all or a first predetermined amount of information to be pushed corresponding to the search keyword from the predetermined information database to be pushed;
Selecting the second predetermined amount of information to be pushed according to the degree of matching when the quantity of information to be pushed obtained from the predetermined information database to be pushed is equal to or greater than a second predetermined quantity; And
And obtaining the remaining information to be pushed from the general purpose information database to be pushed when the number of pieces of information to be pushed obtained from the predetermined information database to be pushed is smaller than the second predetermined amount How to create a web page that features. 8. The method of claim 7,
The step of acquiring the information set to be pushed corresponding to the search keyword from the general purpose information database to be pushed and the predetermined push information database corresponding to the predetermined keyword,
Obtaining information of a desired number or a first predetermined number of pushed information corresponding to the search keyword from a predetermined information database to be pushed in a first predetermined position;
Selecting the second predetermined amount of information to be pushed according to the degree of matching when the quantity of information to be pushed obtained from the predetermined information database to be pushed is equal to or greater than a second predetermined quantity; And
And obtaining the remaining information to be pushed from the general purpose information database to be pushed when the number of pieces of information to be pushed obtained from the predetermined information database to be pushed is smaller than the second predetermined amount How to create a web page that features. The method of claim 3,
The predetermined word surrounding the keyword may be,
A predetermined keyword surrounding the predetermined keyword and a predetermined keyword generated based on the predetermined service related to the predetermined keyword; or
And a predetermined keyword surrounding words based on the predetermined keyword and a predetermined product related to the predetermined keyword. A receiving unit configured to receive a search request including a search keyword sent from a client;
An acquisition unit configured to acquire a set of information to be pushed corresponding to the search keyword;
An affinity type determination unit configured to determine an association type between the search keyword and a predetermined keyword set;
A push position determination unit configured to determine a push position of each piece of information to be pushed in the acquired information set to be pushed based on an association type between the search keyword and the predetermined keyword set; And
And a web page generation unit configured to generate a new web page by setting the information to be pushed on the web page in accordance with the determined push position. 12. The method of claim 11,
The acquiring unit includes:
And to obtain a set of information to be pushed corresponding to the search keyword from a general purpose information database to be pushed and a predetermined push information database corresponding to the predetermined keyword. 13. The method according to claim 11 or 12,
Wherein the predetermined keyword set includes a predetermined keyword and a corresponding surrounding word of a predetermined keyword,
The association type determination unit determines,
A matching relation determining module configured to determine a matching relation between the search keyword, the predetermined keyword, and a word around the predetermined keyword based on a semantic analysis result of the search keyword; And
And an affinity type determination module configured to determine an association type between the search keyword and the predetermined keyword set based on the determined matching relation. 14. The method of claim 13,
The association type includes a first association type and a second association type,
The association type determination module includes:
When the degree of matching between the search keyword and the predetermined keyword is greater than a first predetermined threshold or when the degree of matching between the search keyword and the predetermined keyword is greater than a second predetermined threshold value, Determining a relationship type as the first association type,
When the degree of matching between the search keyword and the predetermined keyword is not greater than the first predetermined threshold value and the degree of matching between the search keyword and the word around the predetermined keyword is not greater than the second predetermined threshold value, To the second association type. ≪ RTI ID = 0.0 > 31. < / RTI > 14. The method of claim 13,
Wherein the association type includes a first association type and a second association type, the predetermined keyword in the predetermined keyword set includes a plurality of predetermined keywords,
The association type determination module includes:
If the matching degree of the search keyword and only one predetermined keyword among the predetermined keyword set is larger than the first predetermined threshold value or the matching degree of the search keyword and the word around the predetermined keyword of only one predetermined keyword is greater than the second predetermined threshold value Determining an association type between the search keyword and the predetermined keyword set as the first association type,
If the matching degree of at least two predetermined keywords among the search keyword and the predetermined keyword set is greater than the first predetermined threshold value, the association type between the search keyword and the predetermined keyword set is determined as the second association type and,
When the degree of matching between the search keyword and the predetermined keyword is not larger than the first predetermined threshold and the degree of matching between the search keyword and the word around the predetermined keyword is not greater than the second predetermined threshold value, Establishing an association type between the sets as the second association type,
When the degree of matching between the search keyword and the predetermined keyword is not greater than the first predetermined threshold value and the degree of matching between the search keyword and the words around the predetermined keyword of the at least two predetermined keywords is greater than the second predetermined threshold value, And determine an association type between the search keyword and the predetermined keyword set as the second association type. 16. The method according to claim 14 or 15,
Wherein the information set to be pushed includes a first set of information to be pushed, obtained from a general-purpose information database to be pushed, and a second set of information to be pushed, obtained from a predetermined information database to be pushed,
Wherein the push position determination unit determines,
Arranges all pieces of information to be pushed out of the information set to be pushed to be pushed in front of all pieces of information to be pushed in the first pushed information set when the association type is the first association type, Based on a matching degree of each information to be pushed and a search keyword, the information set to be pushed and the information to be pushed in the second set of information to be pushed, Determining a push order of the information to be pushed in the information set to be pushed,
And for each information to be pushed in the first set of information to be pushed and the second set of information to be pushed, if the association type is the second association type, Based on the degree of push, the push order of the information to be pushed,
Wherein the web page generating unit comprises:
And to generate a new web page by setting each pushing information to a corresponding push position of the web page in accordance with the determined push order. 16. The method according to claim 14 or 15,
Wherein the information set to be pushed includes a first set of information to be pushed, obtained from a general-purpose information database to be pushed, and a second set of information to be pushed, obtained from a predetermined information database to be pushed,
Wherein the push position determination unit determines,
Setting a push position of all the information to be pushed in the second set of information to be pushed to a first predetermined position of the web page when the association type is the first association type, Sets the push position of the information to be pushed in the web page to a position other than the first predetermined position of the web page and sets the push position of the information to be pushed in the first set of information to be pushed and the pushed information to be pushed Determines a push order of information to be pushed on the positions other than the first predetermined position and the first predetermined position based on the degree of matching between the information to be pushed and the search keyword,
And for each information to be pushed in the first set of information to be pushed and the second set of information to be pushed, if the association type is the second association type, Based on the degree of push, the push order of the information to be pushed,
Wherein the web page generating unit comprises:
And to generate a new web page by setting each pushing information to a corresponding push position of the web page in accordance with the determined push order. 17. The method of claim 16,
The acquiring unit includes:
Acquiring all or a first predetermined number of pieces of information to be pushed corresponding to the search keyword from the predetermined information database to be pushed,
If the quantity of information to be pushed acquired from the predetermined information database to be pushed is equal to or larger than a second predetermined quantity, information to be pushed by the second predetermined quantity is selected according to the degree of matching,
And to acquire the remaining information to be pushed from the general purpose information database to be pushed when the quantity of information to be pushed acquired from the predetermined information database to be pushed is smaller than the second predetermined quantity A device for generating web pages. 18. The method of claim 17,
The acquiring unit includes:
Acquiring from the information database to be pushed to be pushed information corresponding to the search keyword and corresponding to a first predetermined position in a quantity or a first predetermined quantity,
If the quantity of information to be pushed acquired from the predetermined information database to be pushed is equal to or larger than a second predetermined quantity, information to be pushed by the second predetermined quantity is selected according to the degree of matching,
And to acquire the remaining information to be pushed from the general purpose information database to be pushed when the quantity of information to be pushed acquired from the predetermined information database to be pushed is smaller than the second predetermined quantity A device for generating web pages. 14. The method of claim 13,
The predetermined word surrounding the keyword may be,
A predetermined keyword surrounding the predetermined keyword and a predetermined keyword generated based on the predetermined service related to the predetermined keyword; or
And a predetermined keyword related word generated based on the predetermined keyword and a predetermined product related to the predetermined keyword. In a web page server,
Wherein the web page server comprises an apparatus according to any one of claims 11 to 20. In the device,
One or more processors; And
And a storage device for storing one or a plurality of programs,
Characterized in that said one or more processors execute the method according to any one of claims 1 to 10 when said one or more programs are executed by said one or more processors. / RTI >

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