CN111723274A

CN111723274A - Method and apparatus for processing information

Info

Publication number: CN111723274A
Application number: CN201910203726.8A
Authority: CN
Inventors: 张凯
Original assignee: Beijing Haiyi Tongzhan Information Technology Co Ltd
Current assignee: Beijing Haiyi Tongzhan Information Technology Co Ltd
Priority date: 2019-03-18
Filing date: 2019-03-18
Publication date: 2020-09-29
Anticipated expiration: 2039-03-18
Also published as: CN111723274B

Abstract

The embodiment of the application discloses a method and a device for processing information. One embodiment of the method comprises: acquiring a push information group related to a target webpage, wherein the push information group corresponds to a first display area in the target webpage and comprises at least one piece of new push information which does not correspond to a first sorting value; determining a first ranking value corresponding to the new push information based on first user behavior data of push information belonging to the same category as the new push information; determining a display position of the push information in the push information group in the first display area based on the first sorting value; and placing the push information in the push information group to the corresponding display position. The embodiment improves the information processing efficiency and can also realize the accurate pushing of the pushing information.

Description

Method and apparatus for processing information

Technical Field

The embodiment of the application relates to the technical field of computers, in particular to a method and a device for processing information.

Background

Information push, also called "network broadcast", is a technology for reducing information overload by pushing information required by users on the internet through a certain technical standard or protocol. The information push technology can reduce the time spent by the user in searching on the network by actively pushing information to the user.

At present, the existing information pushing mode is usually to manually arrange the display position of the pushed information first, and then load the pushed information on the webpage according to the manual arrangement result.

Disclosure of Invention

The embodiment of the application provides a method and a device for processing information.

In a first aspect, an embodiment of the present application provides a method for processing information, where the method includes: acquiring a push information group related to a target webpage, wherein the push information group corresponds to a first display area in the target webpage and comprises at least one piece of new push information which does not correspond to a first sorting value; determining a first ranking value corresponding to the new push information based on first user behavior data of push information belonging to the same category as the new push information; determining a display position of the push information in the push information group in the first display area based on the first sorting value; and placing the push information in the push information group to the corresponding display position.

In some embodiments, the set of push information corresponds to a first set of weighted values, each item of data in the first set of user behavior data corresponding to a first weighted value in the first set of weighted values; and determining a first ranking value corresponding to the new push information based on first user behavior data of push information belonging to the same category as the new push information, including: and performing weighted summation on the first user behavior data based on the first weighted value set, and taking the obtained sum as a first sorting value corresponding to the push information.

In some embodiments, the above method further comprises: if the second user behavior data of the push information in the push information group is acquired, executing the following display position adjustment operation: re-determining a first ranking value corresponding to the target push information corresponding to the second user behavior data based on the second user behavior data; re-determining the display position of the push information in the push information group in the first display area based on the first sorting value; and adjusting the push information in the push information group to the corresponding display position.

In some embodiments, the second user behavior data corresponds to negative quantized data, the negative quantized data being data related to the push information in the set of push information; and re-determining a first ranking value corresponding to the target push information corresponding to the second user behavior data based on the second user behavior data, including: and re-determining the first sorting value corresponding to the target pushing information based on the second user behavior data, the negative quantization data and the first sorting value corresponding to the target pushing information.

In some embodiments, the set of push information corresponds to a second set of weighted values and a third weighted value, each item of data in the negative quantized data corresponds to a second weighted value in the second set of weighted values; and re-determining the first ranking value corresponding to the target push information based on the second user behavior data, the negative quantization data and the first ranking value corresponding to the target push information, including: based on the first weighted value set, carrying out weighted summation on the second user behavior data, and taking the obtained sum as a positive correlation factor value; based on the second weighted value set, carrying out weighted summation on the negative quantized data, and taking the obtained sum as a negative correlation factor value; subtracting the negative correlation factor value from the sum of the first sequencing value corresponding to the target push information and the positive correlation factor value, and taking the obtained difference value as an active value corresponding to the target push information; and the product of the active value and the third weighted value is determined as the first ordering value corresponding to the target push information again.

In some embodiments, the pushed information group is associated with an information category, the information category corresponds to a second display area in the target webpage and a pushed information group set comprising the pushed information group, and the second display area comprises a first display area corresponding to the pushed information group in the pushed information group set; and the above method further comprises: for each push information group in the push information group set, determining a second ordering value corresponding to the push information group based on a first ordering value corresponding to the push information in the push information group; re-determining a first display area corresponding to the push information group in the push information group set in the second display area based on the second sorting value; and adjusting the push information groups in the push information group set to the corresponding first display area.

In some embodiments, the set of push information corresponds to a fourth weighting value; and determining a second ranking value corresponding to the push information group based on the first ranking value corresponding to the push information in the push information group, including: and carrying out weighted summation on the first sorting value corresponding to the push information in the push information group based on the fourth weighted value corresponding to the push information group, and taking the obtained sum as the second sorting value corresponding to the push information group.

In some embodiments, the target web page associates a set of information categories that includes the information category; and the above method further comprises: for each information category in the information category set, determining a third ranking value corresponding to the information category based on a second ranking value corresponding to a push information group in a push information group set corresponding to the information category; re-determining a second display area corresponding to the information category in the information category set based on the third ranking value; and adjusting the push information group set corresponding to the information category in the information category set to a corresponding second display area.

In some embodiments, the set of push information corresponds to a fifth weighting value; and determining a third ranking value corresponding to the information category based on a second ranking value corresponding to a push information group in a push information group set corresponding to the information category, including: determining the product between the fifth weighting value and the second sorting value corresponding to the push information group in the push information group set corresponding to the information category; and taking the sum of the determined products as a third ranking value corresponding to the information category.

In a second aspect, an embodiment of the present application provides an apparatus for processing information, the apparatus including: the display device comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is configured to acquire a push information group related to a target webpage, the push information group corresponds to a first display area in the target webpage, and the push information group comprises at least one piece of new push information which does not correspond to a first sorting value; a first determination unit configured to determine a first ranking value corresponding to new push information based on first user behavior data of push information belonging to the same category as the new push information; a second determination unit configured to determine a display position of the push information in the push information group in the first display area based on the first ordering value; and the processing unit is configured to place the push information in the push information group to the corresponding display position.

In some embodiments, the set of push information corresponds to a first set of weighted values, each item of data in the first set of user behavior data corresponding to a first weighted value in the first set of weighted values; and the first determination unit is further configured to: the first user behavior data is weighted and summed based on the first set of weighted values, the resulting sum being the first ranking value corresponding to the new push information.

In some embodiments, the above apparatus further comprises: an adjusting unit configured to, if second user behavior data of the push information in the push information group is acquired, perform the following display position adjusting operation: re-determining a first ranking value corresponding to the target push information corresponding to the second user behavior data based on the second user behavior data; re-determining the display position of the push information in the push information group in the first display area based on the first sorting value; and adjusting the push information in the push information group to the corresponding display position.

In some embodiments, the second user behavior data corresponds to negative quantized data, the negative quantized data being data related to the push information in the set of push information; and the adjustment unit is further configured to: and re-determining the first sorting value corresponding to the target pushing information based on the second user behavior data, the negative quantization data and the first sorting value corresponding to the target pushing information.

In some embodiments, the set of push information corresponds to a second set of weighted values and a third weighted value, each item of data in the negative quantized data corresponds to a second weighted value in the second set of weighted values; and the adjustment unit is further configured to: based on the first weighted value set, carrying out weighted summation on the second user behavior data, and taking the obtained sum as a positive correlation factor value; based on the second weighted value set, carrying out weighted summation on the negative quantized data, and taking the obtained sum as a negative correlation factor value; subtracting the negative correlation factor value from the sum of the first sequencing value corresponding to the target push information and the positive correlation factor value, and taking the obtained difference value as an active value corresponding to the target push information; and the product of the active value and the third weighted value is determined as the first ordering value corresponding to the target push information again.

In some embodiments, the pushed information group is associated with an information category, the information category corresponds to a second display area in the target webpage and a pushed information group set comprising the pushed information group, and the second display area comprises a first display area corresponding to the pushed information group in the pushed information group set; and the above apparatus further comprises: a third determining unit configured to determine, for each push information group in the set of push information groups, a second ranking value corresponding to the push information group based on the first ranking value corresponding to the push information in the push information group; a fourth determining unit configured to re-determine, based on the second sorting value, a first display area corresponding to the push information group in the push information group set in the second display area; the first adjusting unit is configured to adjust the push information groups in the push information group set to the corresponding first display areas.

In some embodiments, the set of push information corresponds to a fourth weighting value; and the third determining unit is further configured to: and for each push information group in the push information group set, carrying out weighted summation on a first sorting value corresponding to the push information in the push information group based on a fourth weighted value corresponding to the push information group, and taking the obtained sum as a second sorting value corresponding to the push information group.

In some embodiments, the target web page associates a set of information categories that includes the information category; and the above apparatus further comprises: a fifth determining unit configured to determine, for each information category in the set of information categories, a third ranking value corresponding to the information category based on a second ranking value corresponding to a push information group in the set of push information groups corresponding to the information category; a sixth determining unit configured to re-determine, based on the third ranking value, a second presentation area corresponding to an information category in the information category set; and the second adjusting unit is configured to adjust the push information group set corresponding to the information category in the information category set to the corresponding second display area.

In some embodiments, the set of push information corresponds to a fifth weighting value; and the fifth determining unit is further configured to: and for each information category in the information category set, determining the product between the fifth weighting value and the second ranking value corresponding to the push information group in the push information group set corresponding to the information category, and taking the sum of the determined products as the third ranking value corresponding to the information category.

In a third aspect, an embodiment of the present application provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon; when executed by the one or more processors, cause the one or more processors to implement a method as described in any implementation of the first aspect.

In a fourth aspect, the present application provides a computer-readable medium, on which a computer program is stored, which when executed by a processor implements the method described in any implementation manner of the first aspect.

According to the method and the device for processing information, the pushed information group related to the target webpage is obtained, the first ranking value corresponding to the new pushed information is determined based on the first user behavior data of the pushed information belonging to the same category as the new pushed information in the pushed information group, and then the display position of the pushed information in the pushed information group in the first display area corresponding to the pushed information group in the target webpage is determined based on the first ranking value, so that the pushed information in the pushed information group is placed at the corresponding display position. Compared with the existing method for manually arranging and pushing the display positions of the information, the scheme provided by the embodiment of the application can improve the information processing efficiency. In addition, the first ranking value corresponding to the new push information is determined through the first user behavior data of the push information belonging to the same category as the new push information, so that the popularity of the new push information can be estimated. Then, the display position of the push information in the push information group in the first display area is determined based on the first sorting value, so that the push information with higher popularity is placed at a better display position, and accurate push of the push information can be realized.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:

FIG. 1 is an exemplary system architecture diagram to which some embodiments of the present application may be applied;

FIG. 2 is a flow diagram for one embodiment of a method for processing information according to the present application;

FIG. 3 is a schematic diagram of an application scenario of a method for processing information according to the present application;

FIG. 4 is a flow diagram of yet another embodiment of a method for processing information according to the present application;

FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for processing information according to the present application;

FIG. 6 is a schematic block diagram of a computer system suitable for use with the electronic device to implement some embodiments of the present application.

Detailed Description

The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.

Fig. 1 shows an exemplary system architecture 100 to which embodiments of the method for processing information or the apparatus for processing information of the present application may be applied.

As shown in FIG. 1, system architecture 100 may include a server 101, a network 102, and a server 103. Network 102 is the medium used to provide communication links between

servers

101 and 103. Network 102 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The server 101 may be a server providing various services, for example, the server 101 may be configured to generate and maintain a set of push information related to a target web page and synchronize the set of push information to the server 103 in real time.

The server 103 may be a server providing various services, for example, the server 103 may be configured to obtain a push information group related to the target web page from the server 101, and based on the push information group, update the page content of the target web page.

It should be noted that the method for processing information provided in the embodiment of the present application is generally executed by the server 103, and accordingly, the apparatus for processing information is generally disposed in the server 103.

Additionally, the system architecture 100 may not include the server 101 if the set of pushed information related to the target web page is already pre-stored in the server 103.

It should be noted that the server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.

It should be understood that the number of networks and servers in fig. 1 is merely illustrative. There may be any number of networks and servers, as desired for implementation.

With continued reference to FIG. 2, a flow 200 of one embodiment of a method for processing information in accordance with the present application is shown. The flow 200 of the method for processing information comprises the following steps:

step 201, acquiring a pushed information group related to a target webpage.

In the present embodiment, an execution subject (e.g., the server 103 shown in fig. 1) of the method for processing information may acquire a pushed information group related to a target web page from a local or connected server (e.g., the server 101 shown in fig. 1). The target webpage may be a webpage maintained by the execution main body, and the execution main body may update the webpage content of the target webpage. The set of push information associated with the target web page may be a set of push information for presentation on the target web page.

The push information may include, but is not limited to, item information, service information, articles, and the like. Wherein, the push information group may include push information belonging to the same category. For example, ball-point pens, and pencils are all pens in the stationery, and the item information corresponding to the three pens can be included in the same item information group.

It should be noted that the target web page may include a plurality of first presentation areas. The first presentation area may comprise a plurality of presentation positions. The push information group may correspond to a first display area in the target web page. In addition, the push information group may include at least one new push information that does not correspond to the first sorting value. The new push information may be, for example, push information that has not been loaded by the target web page. The first ranking value may be a popularity value of the push information. It should be understood that some or all of the push information in the above-mentioned push information group may be new push information. When there is non-new push information in the push information group, the non-new push information may correspond to the first ranking value in advance.

In this embodiment, the execution end for generating the push information group may be the execution main body or a server to which the execution main body is connected. The execution end can respond to the received push information uploaded by the client through the client, and divide the received push information into corresponding push information groups based on a preset push information group division method. The execution body may acquire the push information group in response to generation or update of the push information group related to the target web page.

Step 202, determining a first ranking value corresponding to new push information in the push information group based on first user behavior data of push information belonging to the same category as the new push information.

In this embodiment, the first user behavior data may include, but is not limited to, click volume, browsing volume, focus volume, praise volume, review volume, collection volume, purchase volume, deal volume, and the like, for example. Since the new push information does not have corresponding user behavior data, the first ranking value corresponding to the new push information may be determined based on the first user behavior data of push information belonging to the same category as the new push information.

Here, the execution body may employ various methods to determine the first ordering value corresponding to the new push information. As an example, for any piece of new push information in the acquired push information group, the execution main body may calculate an average value of items of data in the first user behavior data of push information belonging to the same category as the new push information, and use the average value as a first ranking value corresponding to the new push information.

In some optional implementations of this embodiment, the set of push information may correspond to the first set of weighted values. Each item of data in the first user behavior data may correspond to a first weighted value in a first set of weighted values. Wherein, the first set of weighted values can be obtained by using a deep learning algorithm (such as an algorithm of a support vector machine or naive bayes) and learning based on at least one of the following: historical operation data of a website to which the target webpage belongs and historical operation data of websites belonging to the same category as the website.

For any piece of new push information in the acquired push information group, the executing body may perform weighted summation on first user behavior data of push information belonging to the same category as the new push information based on the first weighted value set, and use the resulting sum as a first ranking value corresponding to the push information. For example, for each item of data in the first user behavior data, the execution principal may calculate a product between the item of data and its corresponding first weighting value. The executing agent may then sum the products and use the sum as the first ranking value corresponding to the new push information.

Step 203, determining the display position of the push information in the push information group in the first display area corresponding to the push information group in the target webpage based on the first sorting value.

In this embodiment, the execution body may determine, based on the first ordering value, a display position of the push information in the push information group in the first display area corresponding to the push information group in the target webpage. As an example, each presentation location in the first presentation area may correspond to a location identification. The first display area may correspond to a position identification sequence formed by arranging the position identifications of the respective display positions in order of good to bad positions. The execution body may sequence the push information in the push information group in an order from a large order to a small order of the first sequence value. Then, for the push information in the push information group, the execution main body may allocate, to the push information, a display position indicated by a position identifier whose order corresponds to the order of the push information in the position identifier sequence.

And 204, placing the push information in the push information group to a corresponding display position.

In this embodiment, after determining the display position corresponding to the push information in the push information group, the execution main body may place the push information in the push information group in the corresponding display position. In this way, it can be ensured that the push information displayed at the preferred display position is the information that most users are interested in. In addition, according to the scheme described in this embodiment, the user amount can be increased for the client, the client amount can be increased for the website to which the target webpage belongs, and the search cost can be reduced for the user.

With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the method for processing information according to the present embodiment. In the application scenario of fig. 3, the push information may include item information. The server may provide support for shopping-type website a. The shopping site a may include a web page C for showing item information of the customer B. The server may divide the item information into corresponding item information groups in response to receiving the item information uploaded by the client B through the client. Then the server can obtain the item information group, wherein, assuming that the item information group comprises item information C1 and new item information C2 and C3 newly uploaded by customer B, the item information C1 already corresponds to a first ranking value E1; the item information group corresponds to a first display area in the web page C. Thereafter, the server may determine a first ranking value E2 corresponding to new item information C2 based on the stored first user behavior data D1 of item information belonging to the same category as new item information C2, and determine a first ranking value E3 corresponding to new item information C3 based on the stored first user behavior data D2 of item information belonging to the same category as new item information C3. The server may then determine the presentation positions of the item information C1 and the new item information C2, C3 in the first presentation area based on the first ranking values E1, E2, E3. Here, it is assumed that the determination result is that item information C1 corresponds to presentation position F1, new item information C2 corresponds to presentation position F2, and new item information C3 corresponds to presentation position F3. Finally, the server may place the item information C1 and the new item information C2, C3 to corresponding display positions in the first display area.

The method provided by the above embodiment of the application, by obtaining the pushed information group related to the target webpage, then determining the first ranking value corresponding to the new pushed information based on the first user behavior data of the pushed information belonging to the same category as the new pushed information in the pushed information group, and then determining the display position of the pushed information in the pushed information group in the corresponding first display area in the target webpage based on the first ranking value, so as to place the pushed information in the pushed information group at the corresponding display position. The method provided by the embodiment of the application can improve the information processing efficiency and can realize accurate pushing of the pushed information.

With further reference to FIG. 4, a flow 400 of yet another embodiment of a method for processing information is shown. The flow 400 of the method for processing information includes the steps of:

step 401, a pushed information group related to a target webpage is obtained.

In the present embodiment, an execution subject (e.g., the server 103 shown in fig. 1) of the method for processing information may acquire a pushed information group related to a target web page from a local or connected server (e.g., the server 101 shown in fig. 1). The pushed information group may correspond to a first display area in the target webpage, and the pushed information group may include at least one piece of new pushed information that does not correspond to the first ranking value.

Additionally, the set of push information may also correspond to the first set of weighted values. The first set of weighted values may be learned using a deep learning algorithm based on at least one of: historical operation data of a website to which the target webpage belongs and historical operation data of websites belonging to the same category as the website. The first weighted value of the first set of weighted values may correspond to a type of user behavior data, such as click through amount, browsing amount, focus amount, like amount, comment amount, collection amount, purchase amount, or deal amount, etc.

It should be noted that the push information group may be associated with an information category. The information category may correspond to a second presentation area in the target web page and a set of push information groups including the push information group. The information category may be a category of the set of push information groups. The push information groups in the set of push information groups may belong to a sub-category under the category. The second presentation area may include the first presentation area corresponding to the push information group in the push information group set. Additionally, the target web page may be associated with a set of information categories that includes the information category.

Step 402, performing a weighted summation on first user behavior data of push information belonging to the same category as the new push information in the push information group based on the first weighted value set, and taking the obtained sum as a first ranking value corresponding to the new push information.

In this embodiment, after acquiring the push information group related to the target web page, for any new piece of push information in the push information group, the executing body may perform weighted summation on first user behavior data of push information belonging to the same category as the new push information based on the first weighted value set, and use the obtained sum as the first ranking value corresponding to the new push information.

The first user behavior data may include, but is not limited to, click through amount, browsing amount, concern amount, like amount, review amount, collection amount, purchase amount, deal amount, and the like, for example. Additionally, each item of data in the first user behavior data may correspond to a first weighted value in the first set of weighted values.

Step 403, determining a display position of the push information in the push information group in the first display area corresponding to the push information group in the target webpage based on the first sorting value.

In this embodiment, the executing body may determine, based on the first sorting value, a display position of the obtained push information in the push information group in a first display area corresponding to the push information group in the target webpage. Here, the method for determining the position can refer to the related description of step 203 in the embodiment shown in fig. 2, and is not repeated here.

Step 404, the push information in the push information group is placed at the corresponding display position.

In this embodiment, after determining the display position corresponding to the push information in the acquired push information group, the execution main body may place the push information in the push information group in the corresponding display position. Therefore, the push information displayed at the better display position can be ensured to be the information which is more interesting to most users, and the accurate push of the push information can be realized.

In step 405, if the second user behavior data of the push information in the push information group is obtained, a display position adjustment operation is performed on the push information in the push information group.

In this embodiment, after the execution of step 404, the execution main body may acquire the second user behavior data of the push information in the push information group in real time or periodically. The second user behavior data may include click quantity, browsing quantity, concern quantity, praise quantity, comment quantity, collection quantity, purchase quantity, deal quantity, and the like of the corresponding push information. Additionally, each item of data in the second user behavior data may correspond to a first weighted value in the first set of weighted values.

If the execution main body obtains the second user behavior data of the push information in the push information group, the execution main body may execute the following display position adjustment operation to realize dynamic adjustment of the display position of the push information: re-determining a first ranking value corresponding to the target push information corresponding to the second user behavior data based on the second user behavior data; based on the first sorting value, re-determining the display position of the push information in the push information group in the first display area; and adjusting the push information in the push information group to the corresponding display position.

Here, the execution agent may redetermine the first ranking value corresponding to the target push information based on the second user behavior data in various ways. For example, the executing agent may re-determine the first ranking value corresponding to the target push information using a method similar to that described in step 202 in the embodiment shown in fig. 2.

As another example, the second user behavior data may correspond to negative quantization data. The negative quantization data may be data related to push information in the set of push information. Here, assuming that the push information in the push information group is the item information, the execution main body may count the number of push information in the push information group that has not been clicked by the user, the number of push information in the push information group that has not been purchased by forming an order, the number of push information in the push information group that has not been commented on by purchasing, and the like, while acquiring the second user behavior data, and take the counted numbers as negative quantization data corresponding to the second user behavior data.

The execution body may re-determine the first ordering value corresponding to the target push information based on the second user behavior data, the negative quantization data, and the first ordering value corresponding to the target push information. For example, the set of push information may correspond to the second set of weighted values and the third weighted value. Wherein each item of data in the negative quantized data may correspond to a second weighted value in the second set of weighted values. The second set of weighted values may be set empirically by the skilled person. The third weighting value may be learned using a deep learning algorithm based on at least one of: historical operation data of a website to which the target webpage belongs and historical operation data of websites belonging to the same category as the website. The executing agent may perform weighted summation on the second user behavior data based on the first set of weighted values, and use the resulting sum as a positive correlation factor value. The execution subject may also perform a weighted summation of the negative quantized data based on the second set of weighted values, the resulting sum being a negative correlation factor value. Then, the executing agent may subtract the negative correlation factor value from a sum of the first ranking value corresponding to the target push information and the positive correlation factor value, and use the obtained difference as the active value corresponding to the target push information. The execution body may then re-determine the product of the active value and the third weighting value as the first ordering value corresponding to the target push message.

Step 406, for each push information group in the set of push information groups to which the push information group belongs, determining a second ranking value corresponding to the push information group based on the first ranking value corresponding to the push information in the push information group.

In this embodiment, after the execution of step 405, for each push information group in the set of push information groups to which the push information group acquired in step 401 belongs, the execution main body may determine a second ranking value corresponding to the push information group based on the first ranking value corresponding to the push information in the push information group. The second ranking value may be a popularity value of the push information group.

Here, the execution body may determine the second ordering value corresponding to the push information group using various methods. For example, the execution body may use an average value of first ranking values corresponding to the pieces of push information in the push information group as the second ranking value corresponding to the push information group.

For another example, the push information group may further correspond to a fourth weighting value. The fourth weighting value may also be learned by using a deep learning algorithm based on at least one of the following: historical operation data of a website to which the target webpage belongs and historical operation data of websites belonging to the same category as the website. The executing body may perform weighted summation on the first ranking value corresponding to the push information in the push information group based on the fourth weighting value corresponding to the push information group, and use the resulting sum as the second ranking value corresponding to the push information group.

Step 407, re-determining the first display area corresponding to the second display area in which the push information group in the push information group set is located based on the second sorting value, and adjusting the push information group in the push information group set to the corresponding first display area.

In this embodiment, the executing entity may re-determine, based on the second sorting value, a first display area corresponding to the push information group in the push information group set in the second display area, and adjust the push information group in the push information group set to the corresponding first display area. Therefore, the display area of the push information group can be dynamically adjusted, so that the push information group with higher popularity can be adjusted to the first display area with a better position in the second display area.

It should be noted that the method for determining the first display area corresponding to the pushed information group is similar to the method for determining the display position corresponding to the pushed information described in step 203 in the embodiment shown in fig. 2, and is not repeated here.

Step 408, for each information category in the information category set associated with the target web page, determining a third ranking value corresponding to the information category based on a second ranking value corresponding to a pushed information group in the pushed information group set corresponding to the information category.

In this embodiment, after the executing agent finishes executing step 407, for each information category in the set of information categories associated with the target web page, the executing agent may determine a third ranking value corresponding to the information category based on the second ranking value corresponding to the pushed information group in the set of pushed information groups corresponding to the information category. Wherein the third ranking value may be a popularity value of the information category.

Here, the execution body may determine the third ranking value corresponding to the information category using various methods. For example, the execution agent may calculate an average value of the second ranking values corresponding to the respective push information groups in the set of push information groups corresponding to the information category, and use the average value as the third ranking value corresponding to the information category.

For another example, the push information group may also correspond to a fifth weighting value. The fifth weighting value can also be obtained by utilizing a deep learning algorithm and based on at least one of the following learning: historical operation data of a website to which the target webpage belongs and historical operation data of websites belonging to the same category as the website. The executing agent may calculate a product between a fifth ranking value and a second ranking value corresponding to the push information group in the push information group set corresponding to the information category, and then use a sum of the determined products as a third ranking value corresponding to the information category.

Step 409, based on the third ranking value, re-determining a second display area corresponding to the information category in the information category set, and adjusting the pushed information group set corresponding to the information category in the information category set to the corresponding second display area.

In this embodiment, the executing entity may re-determine the second display area corresponding to the information category in the information category set based on the third ranking value, and adjust the set of push information groups corresponding to the information category in the information category set to the corresponding second display area. Therefore, the display area of the pushed information group set can be dynamically adjusted, so that the pushed information group set corresponding to the information category with higher popularity is adjusted to the second display area with better position on the target webpage.

It should be noted that the method for determining the second display area corresponding to the information category is similar to the method for determining the display position corresponding to the pushed information described in step 203 in the embodiment shown in fig. 2, and is not described herein again.

As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for processing information in this embodiment highlights sequential adjustment of the display positions of the pushed information, the pushed information group, and the pushed information group set, so that dynamic management of the display area of the target webpage is realized, and the information processing efficiency and the information pushing accuracy can be further improved.

With further reference to fig. 5, as an implementation of the methods shown in the above-mentioned figures, the present application provides an embodiment of an apparatus for processing information, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable in various electronic devices.

As shown in fig. 5, the apparatus 500 for processing information of the present embodiment includes: the obtaining unit 501 is configured to obtain a push information group related to a target webpage, where the push information group may correspond to a first presentation area in the target webpage, and the push information group may include at least one piece of new push information that does not correspond to a first ordering value; the first determining unit 502 is configured to determine a first ranking value corresponding to new push information based on first user behavior data of push information belonging to the same category as the new push information; the second determining unit 503 is configured to determine a presentation position of the push information in the push information group in the first presentation area based on the first ordering value; the processing unit 504 is configured to place the push information in the push information group to the corresponding presentation position.

In the present embodiment, in the apparatus 500 for processing information: the specific processing of the obtaining unit 501, the first determining unit 502, the second determining unit 503 and the processing unit 504 and the technical effects thereof can refer to the related descriptions of step 201, step 202, step 203 and step 204 in the corresponding embodiment of fig. 2, which are not described herein again.

In some optional implementations of this embodiment, the push information group may correspond to a first weighted value set, and each item of data in the first user behavior data may correspond to a first weighted value in the first weighted value set; and the first determining unit 502 may be further configured to: the first user behavior data is weighted and summed based on the first set of weighted values, the resulting sum being the first ranking value corresponding to the new push information.

In some optional implementations of this embodiment, the apparatus 500 may further include: an adjusting unit (not shown in the figure) configured to, if the second user behavior data of the push information in the push information group is acquired, perform the following display position adjusting operation: re-determining a first ranking value corresponding to the target push information corresponding to the second user behavior data based on the second user behavior data; re-determining the display position of the push information in the push information group in the first display area based on the first sorting value; and adjusting the push information in the push information group to a corresponding display position.

In some optional implementations of this embodiment, the second user behavior data may correspond to negative quantization data, and the negative quantization data may be data related to the push information in the push information group; and the adjustment unit may be further configured to: and re-determining the first sorting value corresponding to the target pushing information based on the second user behavior data, the negative quantization data and the first sorting value corresponding to the target pushing information.

In some optional implementations of this embodiment, the push information group may correspond to the second weighted value set and the third weighted value, and each item of data in the negative quantization data may correspond to the second weighted value in the second weighted value set; and the adjustment unit may be further configured to: based on the first weighted value set, carrying out weighted summation on the second user behavior data, and taking the obtained sum as a positive correlation factor value; based on the second weighted value set, carrying out weighted summation on the negative quantized data, and taking the obtained sum as a negative correlation factor value; subtracting the negative correlation factor value from the sum of the first sequencing value corresponding to the target push information and the positive correlation factor value, and taking the obtained difference value as an active value corresponding to the target push information; and the product of the active value and the third weighted value is determined as the first ordering value corresponding to the target push information again.

In some optional implementation manners of this embodiment, the pushed information group may be associated with an information category, the information category may correspond to a second display area in the target webpage and a pushed information group set including the pushed information group, and the second display area may include a first display area corresponding to the pushed information group in the pushed information group set; and the apparatus 500 may further include: a third determining unit (not shown in the figure) configured to determine, for each push information group in the set of push information groups, a second ordering value corresponding to the push information group based on the first ordering value corresponding to the push information in the push information group; a fourth determining unit (not shown in the figures) configured to re-determine, based on the second sorting value, the first presentation area corresponding to the push information group in the push information group set in the second presentation area; a first adjusting unit (not shown in the figure) configured to adjust the push information groups in the push information group set to the corresponding first presentation area.

In some optional implementations of this embodiment, the push information group may correspond to a fourth weighting value; and the third determining unit may be further configured to: and for each push information group in the push information group set, carrying out weighted summation on the first ranking value corresponding to the push information in the push information group based on the fourth weighting value corresponding to the push information group, and taking the obtained sum as the second ranking value corresponding to the push information group.

In some optional implementations of this embodiment, the target web page may associate an information category set including the information categories; and the apparatus 500 may further include: a fifth determining unit (not shown in the figure) configured to determine, for each information category in the set of information categories, a third ranking value corresponding to the information category based on the second ranking value corresponding to the push information group in the set of push information groups corresponding to the information category; a sixth determining unit (not shown in the figure) configured to re-determine the second presentation area corresponding to the information category in the information category set based on the third ranking value; and a second adjusting unit (not shown in the figure) configured to adjust the set of pushed information groups corresponding to the information categories in the set of information categories to corresponding second display areas.

In some optional implementations of this embodiment, the push information group may correspond to the fifth weighting value; and the fifth determining unit may be further configured to: and for each information category in the information category set, determining the product between the fifth weighting value and the second ranking value corresponding to the push information group in the push information group set corresponding to the information category, and taking the sum of the determined products as the third ranking value corresponding to the information category.

The device provided by the above embodiment of the application, by acquiring the pushed information group related to the target webpage, then determining the first ranking value corresponding to the new pushed information based on the first user behavior data of the pushed information belonging to the same category as the new pushed information in the pushed information group, and then determining the display position of the pushed information in the pushed information group in the corresponding first display area in the target webpage based on the first ranking value, so as to place the pushed information in the pushed information group at the corresponding display position. According to the scheme provided by the embodiment of the application, the information processing efficiency can be improved, and accurate pushing of the pushed information can be realized.

Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use in implementing an electronic device (e.g., server 103 shown in FIG. 1) of an embodiment of the present application is shown. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 601.

It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a first determination unit, a second determination unit, and a processing unit. The names of these units do not in some cases constitute a limitation on the unit itself, and for example, the acquiring unit may also be described as a "unit that acquires a push information group related to a target web page".

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to: acquiring a push information group related to a target webpage, wherein the push information group can correspond to a first display area in the target webpage and comprises at least one piece of new push information which does not correspond to a first ranking value; determining a first ranking value corresponding to the new push information based on first user behavior data of push information belonging to the same category as the new push information; determining a display position of the push information in the push information group in the first display area based on the first sorting value; and placing the push information in the push information group to the corresponding display position.

The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

Claims

1. A method for processing information, comprising:

acquiring a push information group related to a target webpage, wherein the push information group corresponds to a first display area in the target webpage and comprises at least one piece of new push information which does not correspond to a first sorting value;

determining a first ranking value corresponding to the new push information based on first user behavior data of push information belonging to the same category as the new push information;

determining a display position of the push information in the push information group in the first display area based on the first sorting value;

and placing the push information in the push information group to a corresponding display position.

2. The method of claim 1, wherein the set of push information corresponds to a first set of weighted values, each item of the first user behavior data corresponding to a first weighted value of the first set of weighted values; and

the determining a first ranking value corresponding to the new push information based on first user behavior data of push information belonging to the same category as the new push information includes:

and performing weighted summation on the first user behavior data based on the first weighted value set, and taking the obtained sum as a first sorting value corresponding to the push information.

3. The method of claim 2, wherein the method further comprises:

if the second user behavior data of the push information in the push information group is acquired, executing the following display position adjustment operation:

re-determining a first ranking value corresponding to the target push information corresponding to the second user behavior data based on the second user behavior data;

re-determining the display position of the push information in the push information group in the first display area based on the first sorting value;

and adjusting the push information in the push information group to a corresponding display position.

4. The method of claim 3, wherein the second user behavior data corresponds to negative quantized data, the negative quantized data being data related to push information in the set of push information; and

the re-determining, based on the second user behavior data, a first ranking value corresponding to the target push information corresponding to the second user behavior data includes:

and re-determining the first sorting value corresponding to the target pushing information based on the second user behavior data, the negative quantization data and the first sorting value corresponding to the target pushing information.

5. The method of claim 4, wherein the set of push information corresponds to a second set of weighted values and a third weighted value, each item of data in the negative quantized data corresponding to a second weighted value in the second set of weighted values; and

the re-determining the first ranking value corresponding to the target push information based on the second user behavior data, the negative quantized data, and the first ranking value corresponding to the target push information includes:

based on the first weighted value set, carrying out weighted summation on the second user behavior data, and taking the obtained sum as a positive correlation factor value;

performing weighted summation on the negative quantized data based on the second set of weighted values, and taking the obtained sum as a negative correlation factor value;

subtracting the negative correlation factor value from the sum of the first ordering value corresponding to the target push information and the positive correlation factor value, and taking the obtained difference value as an active value corresponding to the target push information;

and the product of the active value and the third weighted value is determined as the first ordering value corresponding to the target push information again.

6. The method according to one of claims 1 to 5, wherein the pushed information group is associated with an information category, the information category corresponds to a second presentation area in the target webpage and a pushed information group set comprising the pushed information group, the second presentation area comprises a first presentation area corresponding to a pushed information group in the pushed information group set; and

the method further comprises the following steps:

for each push information group in the push information group set, determining a second ordering value corresponding to the push information group based on a first ordering value corresponding to the push information in the push information group;

re-determining a first display area corresponding to the push information group in the push information group set in the second display area based on a second sorting value;

and adjusting the push information groups in the push information group set to the corresponding first display area.

7. The method of claim 6, wherein the set of push messages corresponds to a fourth weighting value; and

the determining a second ranking value corresponding to the push information group based on the first ranking value corresponding to the push information in the push information group includes:

and carrying out weighted summation on the first sorting value corresponding to the push information in the push information group based on the fourth weighted value corresponding to the push information group, and taking the obtained sum as the second sorting value corresponding to the push information group.

8. The method of claim 6, wherein the target web page association comprises a set of information categories of the information categories; and

the method further comprises the following steps:

for each information category in the information category set, determining a third ranking value corresponding to the information category based on a second ranking value corresponding to a push information group in a push information group set corresponding to the information category;

re-determining a second display area corresponding to an information category in the information category set based on a third ranking value;

and adjusting the push information group set corresponding to the information category in the information category set to a corresponding second display area.

9. The method of claim 8, wherein the set of push information corresponds to a fifth weighting value; and

the determining, based on the second ranking value corresponding to the push information group in the push information group set corresponding to the information category, a third ranking value corresponding to the information category includes:

determining the product between the fifth weighting value and the second sorting value corresponding to the push information group in the push information group set corresponding to the information category;

and taking the sum of the determined products as a third ranking value corresponding to the information category.

10. An apparatus for processing information, comprising:

an obtaining unit configured to obtain a push information group related to a target webpage, wherein the push information group corresponds to a first presentation area in the target webpage and comprises at least one piece of new push information which does not correspond to a first ordering value;

a first determining unit configured to determine a first ranking value corresponding to the new push information based on first user behavior data of push information belonging to the same category as the new push information;

a second determination unit configured to determine a presentation position of the push information in the push information group in the first presentation area based on the first ordering value;

a processing unit configured to place the push information in the push information group to a corresponding presentation position.

11. The apparatus of claim 10, wherein the set of push information corresponds to a first set of weighted values, each item of the first user behavior data corresponding to a first weighted value of the first set of weighted values; and

the first determination unit is further configured to:

performing a weighted summation of the first user behavior data based on the first set of weighted values, the resulting sum being a first ranking value corresponding to the new push information.

12. The apparatus of claim 11, wherein the apparatus further comprises:

an adjusting unit configured to, if second user behavior data of the push information in the push information group is acquired, perform the following display position adjusting operation:

13. The apparatus of claim 12, wherein the second user behavior data corresponds to negative quantization data, the negative quantization data being data related to push information in the set of push information; and

the adjustment unit is further configured to:

14. The apparatus of claim 13, wherein the set of push information corresponds to a second set of weighted values and a third weighted value, each item of data in the negative quantized data corresponding to a second weighted value in the second set of weighted values; and

the adjustment unit is further configured to:

15. The apparatus according to one of claims 10 to 14, wherein the pushed information group is associated with an information category, the information category corresponds to a second presentation area in the target web page and a pushed information group set including the pushed information group, the second presentation area includes a first presentation area corresponding to a pushed information group in the pushed information group set; and

the device further comprises:

a third determining unit configured to determine, for each push information group in the set of push information groups, a second ordering value corresponding to the push information group based on the first ordering value corresponding to the push information in the push information group;

a fourth determining unit configured to re-determine, based on the second ranking value, a first display area corresponding to the push information group in the push information group set in the second display area;

a first adjusting unit configured to adjust the push information groups in the push information group set to the corresponding first display areas.

16. The apparatus of claim 15, wherein the set of push messages corresponds to a fourth weighting value; and

the third determination unit is further configured to:

and for each push information group in the push information group set, carrying out weighted summation on a first ranking value corresponding to the push information in the push information group based on a fourth weighted value corresponding to the push information group, and taking the obtained sum as a second ranking value corresponding to the push information group.

17. The apparatus of claim 15, wherein the target web page association comprises a set of information categories of the information categories; and

the device further comprises:

a fifth determining unit configured to determine, for each information category in the set of information categories, a third ranking value corresponding to the information category based on a second ranking value corresponding to a push information group in a set of push information groups corresponding to the information category;

a sixth determining unit configured to re-determine a second presentation area corresponding to an information category in the information category set based on a third ranking value;

and the second adjusting unit is configured to adjust the pushed information group set corresponding to the information category in the information category set to a corresponding second display area.

18. The apparatus of claim 17, wherein the set of push information corresponds to a fifth weighting value; and

the fifth determination unit is further configured to:

and for each information category in the information category set, determining the product between the fifth weighting value and the second ranking value corresponding to the push information group in the push information group set corresponding to the information category, and taking the sum of the determined products as the third ranking value corresponding to the information category.

19. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-9.

20. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-9.