CN116051222A

CN116051222A - Data processing method and device and electronic equipment

Info

Publication number: CN116051222A
Application number: CN202111256724.9A
Authority: CN
Inventors: 陈蛟龙
Original assignee: Beijing Orange Heart Infinite Technology Development Co ltd
Current assignee: Beijing Orange Heart Infinite Technology Development Co ltd
Priority date: 2021-10-27
Filing date: 2021-10-27
Publication date: 2023-05-02

Abstract

The embodiment of the invention discloses a data processing method, a data processing device and electronic equipment. According to the embodiment of the invention, each display object in the display object group is exposed according to the preset supporting exposure, and the exposure is an action of responding to a search request from a terminal for display; acquiring statistical information of each display object at intervals of set time, determining the exposure level of the display object in response to the fact that the actual exposure of the display object is greater than or equal to the minimum value of any exposure level, and grading the display object according to the statistical information; resetting the supporting exposure of the display object in response to the score of the display object being greater than or equal to the score threshold of the corresponding exposure level; exposing the display object according to the reset supporting exposure. By the method, excellent display objects can be accurately identified, the class structure of the platform is optimized, and the waste of platform resources is avoided.

Description

Data processing method and device and electronic equipment

Technical Field

The present invention relates to the field of computer technologies, and in particular, to a data processing method, apparatus, and electronic device.

Background

With the rise of online shopping, more and more people begin to use a new online shopping mode to replace offline shopping, a large number of display objects are put on shelf in each period of time, but because the display objects have only static attribute characteristics, the dynamic attributes of the display objects are fewer, so that the display objects can have the condition that exposure cannot be obtained, exposure can be given to the display objects forcefully to help the display objects obtain a certain dynamic attribute, the display objects can be recommended to users normally through a recommendation model when the exposure of the forcefully given display objects is not obtained, but if enough exposure is forced to all the display objects, part of the display objects are wasted in giving the exposure to the poorer display objects, and the flow efficiency is lower.

In summary, how to identify excellent display objects by giving appropriate exposure, optimize the class structure of the platform, and eliminate worse display objects, so as to avoid wasting platform resources is a problem to be solved at present.

Disclosure of Invention

In view of the above, the embodiments of the present invention provide a method, an apparatus, and an electronic device for data processing, which can accurately identify an excellent display object, optimize a class structure of a platform, and eliminate a worse display object, thereby avoiding wasting platform resources.

In a first aspect, an embodiment of the present invention provides a method for processing data, where the method includes:

exposing each display object in the display object group according to a preset supporting exposure, wherein the exposure is an action of responding to a search request from a terminal for display;

acquiring statistical information of each display object at intervals of set time, wherein the statistical information comprises exposure data and order data of each display object, and the exposure data of each display object comprises actual exposure;

determining the exposure level of the display object in response to the actual exposure of the display object being greater than or equal to the minimum value of any exposure level, and scoring the display object according to the statistical information;

resetting the supporting exposure of the display object in response to the score of the display object being greater than or equal to the score threshold of the corresponding exposure level;

exposing the display object according to the reset supporting exposure.

Preferably, the exposure data of the display object further includes at least one of click rate, visit rate and purchase rate, and the order data includes order sharing rate.

Preferably, the method further comprises:

And setting the holding exposure of the display object to 0 in response to the score of the display object being less than the scoring threshold of the corresponding exposure level.

Preferably, the scoring the display object according to the statistical information specifically includes:

and determining the display object to score according to the click rate, the purchase rate and the order sharing rate.

Preferably, the determining the display object to score according to the click rate, the visit rate, the purchase rate and the order sharing rate specifically includes:

and respectively determining products of the click rate, the purchase visit rate, the purchase adding rate, the order sharing rate and corresponding weights, wherein the weights are determined according to statistical information of historical display objects.

And determining the sum value of the products as the score of the display object.

Preferably, the method further comprises:

and in response to the actual exposure of the display object being greater than a set threshold, determining the display object as a high-quality display object, and setting the supporting exposure of the display object to 0.

Preferably, the method further comprises:

acquiring initial statistical information of each display object;

And cleaning the initial statistical information, and determining the statistical information of each display object.

Preferably, the scoring threshold corresponding to the exposure level of the display object is determined according to the statistical information of the historical display object.

Preferably, the exposure level is determined according to statistical information of the historical display object, and specifically includes:

acquiring the historical actual exposure of all the historical display objects;

sequencing the historical actual exposure according to the sequence from small to large;

dividing the sequenced historical actual exposure according to the number of all the historical display objects, and determining N exposure levels, wherein the number of the historical display objects included in each exposure level is the same;

and determining an exposure range corresponding to each exposure level, wherein the minimum value and the maximum value of the exposure range are determined according to the historical actual exposure in the exposure level.

Preferably, the weight is determined according to statistical information of the historical display object, and specifically includes:

and determining the weight according to the historical click rate, the historical visit rate, the historical purchase adding rate and the historical order sharing rate of the historical display object.

Preferably, the scoring threshold corresponding to the exposure level of the display object is determined according to the statistical information of the historical display object, and specifically includes:

determining flow efficiency and head yield corresponding to a plurality of scoring candidate thresholds in the exposure level according to each exposure level;

determining distribution data respectively corresponding to a plurality of scoring candidate thresholds, wherein the distribution data is equal to the sum of a first numerical value and a second numerical value, the first numerical value is the product of the flow efficiency and the corresponding weight, and the second numerical value is the product of the head product rate and the corresponding weight;

and determining a scoring candidate threshold corresponding to the maximum value in the distribution data as a scoring threshold.

In a second aspect, an embodiment of the present invention provides an apparatus for data processing, including:

the processing unit is used for exposing each display object in the display object group according to the preset supporting exposure, wherein the exposure is an action of responding to a search request from the terminal for display;

the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring statistical information of each display object at intervals of set time, the statistical information comprises exposure data and order data of each display object, and the exposure data of the display object comprises actual exposure;

A determining unit, which is used for determining the exposure level of the display object and scoring the display object according to the statistical information, and responding to the fact that the actual exposure of the display object is larger than or equal to the minimum value of any exposure level;

a setting unit, configured to reset a supporting exposure of the display object in response to a score of the display object being greater than or equal to a score threshold of a corresponding exposure level;

the processing unit is also used for exposing the display object according to the reset supporting exposure.

Preferably, the setting unit is further configured to set the supporting exposure of the display object to 0 in response to the score of the display object being smaller than the score threshold of the corresponding exposure level.

Preferably, the determining unit is specifically configured to:

Preferably, the determining unit is specifically configured to: and respectively determining products of the click rate, the purchase visit rate, the purchase adding rate, the order sharing rate and corresponding weights, wherein the weights are determined according to statistical information of historical display objects.

Preferably, the setting unit is further configured to: and in response to the actual exposure of the display object being greater than a set threshold, determining the display object as a high-quality display object, and setting the supporting exposure of the display object to 0.

Preferably, the acquisition unit is further configured to: acquiring initial statistical information of each display object;

the processing unit is further configured to: and cleaning the initial statistical information, and determining the statistical information of each display object.

Preferably, the acquisition unit is further configured to: acquiring the historical actual exposure of all the historical display objects;

the device also comprises a sequencing unit for sequencing the historical actual exposure according to the sequence from small to large;

the device further comprises a dividing unit, a display unit and a display unit, wherein the dividing unit is used for dividing the sequenced historical actual exposure according to the number of all the historical display objects to determine N exposure levels, and the number of the historical display objects included in each exposure level is the same;

The determining unit is further used for determining an exposure range corresponding to each exposure level, wherein the minimum value and the maximum value of the exposure range are determined according to the historical actual exposure in the exposure level.

Preferably, the determining unit is specifically configured to:

Preferably, the determining unit is further configured to: determining flow efficiency and head yield corresponding to a plurality of scoring candidate thresholds in the exposure level according to each exposure level;

In a third aspect, embodiments of the present invention provide a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement a method as in the first aspect or any of the possibilities of the first aspect.

In a fourth aspect, an embodiment of the present invention provides an electronic device comprising a memory and a processor, the memory storing one or more computer program instructions, wherein the one or more computer program instructions are executable by the processor to implement the method of the first aspect or any one of the possibilities of the first aspect.

In a fifth aspect, embodiments of the present invention provide a computer program product comprising a computer program/instruction which, when executed by a processor, implements a method as in the first aspect or any one of the possibilities of the first aspect.

According to the embodiment of the invention, each display object in the display object group is exposed according to the preset supporting exposure, and the exposure is an action of responding to a search request from a terminal for display; acquiring statistical information of each display object at intervals of set time, wherein the statistical information comprises exposure data and order data of each display object, and the exposure data of each display object comprises actual exposure; determining the exposure level of the display object in response to the actual exposure of the display object being greater than or equal to the minimum value of any exposure level, and scoring the display object according to the statistical information; resetting the supporting exposure of the display object in response to the score of the display object being greater than or equal to the score threshold of the corresponding exposure level; exposing the display object according to the reset supporting exposure. According to the method, the exposure level corresponding to the display object is determined according to the actual exposure of the display object, then the score of the display object is compared with the scoring threshold value of the exposure level, and when the score is greater than or equal to the scoring threshold value, the display object can be further increased in supporting exposure, the exposure level is increased until the display object is supported to a stationary period; when the score is smaller than the score threshold value, the display object is poorer, the exposure is wasted after the display object is supported continuously, and therefore the display object is required to be eliminated.

Drawings

The above and other objects, features and advantages of the present invention will become more apparent from the following description of embodiments of the present invention with reference to the accompanying drawings, in which:

FIG. 1 is a flow chart of a method of data processing according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a display interface according to an embodiment of the present invention;

FIG. 3 is a flow chart of a method of data processing according to an embodiment of the present invention;

FIG. 4 is a flow chart of a method of data processing according to an embodiment of the present invention;

FIG. 5 is a flow chart of a method of data processing according to an embodiment of the present invention;

FIG. 6 is a flow chart of a method of determining an exposure level according to an embodiment of the invention;

FIG. 7 is a flow chart of a method of data processing according to an embodiment of the present invention;

FIG. 8 is a schematic diagram of an apparatus for data processing according to an embodiment of the present invention;

fig. 9 is a schematic diagram of an electronic device according to an embodiment of the invention.

Detailed Description

The present disclosure is described below based on examples, but the present disclosure is not limited to only these examples. In the following detailed description of the present disclosure, certain specific details are set forth in detail. The present disclosure may be fully understood by those skilled in the art without a review of these details. Well-known methods, procedures, flows, components and circuits have not been described in detail so as not to obscure the nature of the disclosure.

Moreover, those of ordinary skill in the art will appreciate that the drawings are provided herein for illustrative purposes and that the drawings are not necessarily drawn to scale.

Unless the context clearly requires otherwise, the words "comprise," "comprising," and the like throughout the application are to be construed as including but not being exclusive or exhaustive; that is, it is the meaning of "including but not limited to".

In the description of the present disclosure, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present disclosure, unless otherwise indicated, the meaning of "a plurality" is two or more.

In the prior art, a large number of display objects are put on shelf in each period of time, but because the display objects have only the static attribute characteristics, the dynamic attribute of the display objects is less, so that the display objects can have the condition that exposure cannot be obtained, the exposure of the display objects can be forcibly given, the display objects can be helped to obtain a certain dynamic attribute, the display objects can be normally recommended to users through a recommendation model when the exposure of the forced display objects is not obtained, but if enough exposure is forcibly given to all the display objects, part of the display objects with poor self waste the given exposure, and the flow efficiency is lower; how to identify excellent display objects by giving proper exposure, optimize the class structure of the platform, and eliminate worse display objects at the same time, thereby avoiding wasting platform resources and being a problem to be solved at present.

In an embodiment of the present invention, fig. 1 is a flowchart of a method for processing data according to an embodiment of the present invention. As shown in fig. 1, the method specifically comprises the following steps:

and step S100, exposing each display object in the display object group according to the preset supporting exposure, wherein the exposure is an action of responding to a search request from the terminal for display.

Specifically, each display object in the display object group can be a commodity, and when the commodity is put on shelf in the platform at first, the display object has only the static attribute characteristics of the display object, such as the price, specification, brand, variety and the like of the display object; the dynamic properties of the display object are less, such as click rate, visit rate, purchase rate and the like; the exposure situation can not be obtained for the display objects, so that a certain supporting exposure is required to be set for each display object in the newly-placed display object group, each display object can be ensured to obtain exposure, and the supporting exposure is assumed to be 200, namely, each newly-placed display object can obtain the supporting exposure of 200.

In one possible implementation manner, the exposure is performed in response to a search request from a terminal, and the search request of the terminal is assumed to be "milk tea", and the action of performing the display according to the search request is shown in fig. 2, where "pearl milk tea", "fruit milk tea", "mandarin duck milk tea", "lemon tea", and "double milk" are displayed on a display interface of the terminal, and one display on the terminal interface may be one exposure.

Step S101, acquiring statistical information of each display object at intervals of set time, wherein the statistical information comprises exposure data and order data of each display object, and the exposure data of each display object comprises actual exposure.

Specifically, the exposure data of the display object further comprises at least one of a click rate, a visit rate and an additional purchase rate, the order data comprises an order sharing rate, and the click rate is a ratio between the click rate of the commodity and the exposure of the commodity; the commodity click quantity is the quantity of clicking of a commodity on a platform by a user; the commodity exposure is the quantity of a commodity seen by a user on a platform; the visit rate is the ratio between the commodity sales number and the commodity exposure; the commodity sales number is the number of a certain commodity purchased by a user; the purchasing rate is the ratio between the commodity purchasing number and the commodity exposure; the commodity purchasing number is the number of a certain commodity added to the shopping cart by a user; the order sharing rate is the ratio between the commodity order sharing number and the commodity exposure; the commodity order sharing number is the number of shared commodities after being purchased.

In one possible implementation manner, the actual exposure of each display object is obtained at intervals of a set time, and the exposure is obtained in other ways besides the number of times of supporting the exposure during the display process of the display object, so that the final actual exposure is higher than the supporting exposure. For example, the supporting exposure is 200, and the actual exposure obtained after the set time is 313, which is only exemplary here, and is specifically determined according to the actual situation.

And step S102, determining the exposure level of the display object in response to the fact that the actual exposure of the display object is greater than or equal to the minimum value of any exposure level, and grading the display object according to the statistical information.

Specifically, assuming that the exposure level is determined based on statistical information of a history display object, a specific determination process is described in detail in the following embodiments, assuming that the exposure level is 5 levels, which are a first exposure level, a second exposure level, a third exposure level, a fourth exposure level, and a fifth exposure level, respectively, wherein the first exposure level ranges from 300 to 998, the second exposure level ranges from 999 to 2999, the third exposure level ranges from 3000 to 5999, the fourth exposure level ranges from 6000 to 9999, and the fifth exposure level ranges from 10000 to 19999; the division and the range of the exposure level are determined according to practical situations, and the embodiment of the invention is not limited.

In the embodiment of the invention, the display object is scored according to the statistical information, and specifically, the display object is determined to be scored according to the click rate, the visit rate, the purchase rate and the order sharing rate; the click rate, the visit rate, the purchase rate, the order sharing rate and the product of the corresponding weight are respectively determined, and the weight is determined according to the statistical information of the historical display object; and determining the sum value of the products as the score of the display object. Specifically, the weight is determined according to statistical information of the historical display object, and specifically includes: and determining the weight according to the historical click rate, the historical visit rate, the historical purchase adding rate and the historical order sharing rate of the historical display object.

For example, score score=gamma+alpha+beta+order share+delta+visit rate, where the values of gamma, alpha, beta, delta are determined according to the statistics of the historical display object, specifically, any one of the statistics of the historical display object is selected as a reference, for example, a historical commodity click amount is selected as a reference, gamma=inverse of the historical commodity click amount/historical commodity click amount, alpha=inverse of the historical commodity purchase amount/inverse of the historical commodity click amount, beta=inverse of the historical commodity share/inverse of the historical commodity click amount, delta=inverse of the historical commodity sales amount/inverse of the historical commodity click amount is assumed, the historical commodity click amount is 10000, the historical commodity share is 5000, the historical commodity share is 1000, the historical commodity sales amount is 3000, gamma=10000/10000 is reciprocal=1, reciprocal=5000/10000 is reciprocal=2, reciprocal=1000/10000 is reciprocal=10/10000, and the actual numerical value is determined only according to the specific example here.

In one possible implementation manner, the actual exposure of the display object is 333, which is greater than the minimum value 300 of the first exposure level, the exposure level of the display object is determined to be the first exposure level, the display object is scored according to the above formula according to the statistical information, and the score score=515 is obtained.

And step S103, resetting the supporting exposure of the display object in response to the score of the display object being greater than or equal to the score threshold value of the corresponding exposure level.

Assuming that the exposure level corresponding to the display object is a first exposure level, the scoring threshold of the first exposure level is 500 minutes, the scoring 515 score of the display object is greater than the scoring threshold of the first exposure level is 500 minutes, the supporting exposure of the display object is increased, for example, the supporting exposure of the display object is increased by 1000, and the exposure level of the display object is 1333 at this time, so that the display object enters a second exposure level.

In one possible implementation manner, the scoring threshold value of each exposure level is determined according to the statistical information of the historical display object, and a flowchart of a method for scoring the exposure level is specifically shown in fig. 3, and includes the following steps:

and step S300, determining flow efficiency and head product rate corresponding to a plurality of scoring candidate thresholds in the exposure level according to each exposure level.

Specifically, the flow efficiency is the sum of the transactions (Gross Merchandise Volume, gmv) of the display object obtained by n times of exposure, namely the product of the sales number of the commodity and the selling price of the commodity list obtained by the display object obtained by n times of exposure; the head product rate is the ratio of the number of newly-placed display objects to the number of all newly-placed display objects.

Step S301, determining distribution data corresponding to the multiple scoring candidate thresholds, where the distribution data is equal to a sum of a first value and a second value, the first value is a product of the flow efficiency and the corresponding weight, and the second value is a product of the head yield and the corresponding weight.

Assuming that determining a scoring threshold value for each of the exposure levels is to consider the above-described two aspects of flow efficiency and head yield, and to ensure balance of flow efficiency and head yield, not only to ensure that flow efficiency does not slip too much, but also that head yield is sufficiently high; converting the flow efficiency into a flow efficiency index of (0, 1), wherein the flow efficiency index is the ratio of the flow efficiency to the actual exposure, and the ratio is x1; let the header rate be x2, i.e. f (x) =pxx1+qx2. The weights p and q of x1 and x2 can be flexibly determined according to specific service requirements, and can be determined to be 1 and 1 in the invention, and the method for determining the threshold value can be realized by solving the maximum value of the function in the interval of x1 and x2 in the interval of (0, 1). Since the value distributions of x1 and x2 themselves depend on the distribution of the threshold values, the scoring threshold value that works best can be determined by sampling the scoring candidate threshold values, assuming that the relationship of the scoring candidate threshold values, x1, x2, and f (x) is as shown in table 1 below:

TABLE 1

And step S302, determining a scoring candidate threshold corresponding to the maximum value in the distribution data as a scoring threshold.

As can be seen from table 1, assuming that table 1 is data corresponding to the first exposure level, when the scoring candidate threshold value is selected to be 500, the corresponding f (x) value is the largest, and thus the scoring threshold value corresponding to the first exposure level is 500.

And step S104, exposing the display object according to the reset supporting exposure.

Specifically, the display object is exposed according to the re-exposure of the support 1333.

In the embodiment of the present invention, after step S104 is completed, the steps from step S100 to step S104 are continuously and circularly performed until the actual exposure of the display object is greater than a set threshold, for example 20000, the display object is determined to be a good-quality display object, the supporting exposure value of the display object is set to 0, which indicates that the display object has spent a climbing period, and the cold start is completed, and the exposure can be obtained without supporting the exposure after entering a stationary period. The climbing period is a period between when the display object starts to enter the stable period from the upper frame, and the cold start means that the display object starts to sell from 0 exposure to the stable period.

In a possible implementation manner, after step S102, the method further includes step S105, as illustrated in fig. 4, including:

step S105, in response to the score of the display object being less than the score threshold of the corresponding exposure level, setting the supporting exposure of the display object to 0.

Assuming that the exposure level corresponding to the display object is a first exposure level, the scoring threshold of the first exposure level is 500 points, the scoring 300 points of the display object is smaller than the scoring threshold of the first exposure level is 500 points, and the supporting exposure of the display object is set to 0. Indicating that the display object is poor and needs to be eliminated.

In a possible implementation manner, before step S100, the method further includes step S106 and step S107, as illustrated in fig. 5, including:

and S106, acquiring initial statistical information of each display object.

Specifically, the initial statistical information includes exposure data and order data of each display object, and the exposure data of the display object includes actual exposure.

And step S107, data cleaning is carried out on the initial statistical information, and the statistical information of each display object is determined.

Specifically, part of noise data and invalid order data exist in the initial statistical information, wherein the noise data is invalid exposure data. The wireless order data refers to order distribution failure or the occurrence of goods returning, money returning and the like, and the order data is invalid order data and needs to be screened out.

In one possible implementation manner, the exposure level is determined according to the statistical information of the historical display object, and a specific method for determining the exposure level is as shown in fig. 6, and includes the following steps:

and S600, acquiring the historical actual exposure of all the historical display objects.

For example, let the actual exposure of all history display subjects be 321, 5643, 2241, 80040, 3022, 3333, 7000, 43243, 16442, 13045, 10234, 1002, 892, 955, 6000, 999, 3445, 9544, 17900.

Step S601, the historical actual exposure is sequenced from small to large.

Specifically, the display object with the actual exposure larger than a certain value can be withdrawn from the flow supporting pool, for example, 80040,43243, which obviously exceeds the actual exposure of other display objects, withdrawn from the flow supporting pool and does not participate in the sorting, and other historical actual exposure is sorted from small to large.

Step S602, dividing the sequenced historical actual exposure according to the number of all the historical display objects, and determining N exposure levels, where the number of the historical display objects included in each exposure level is the same.

It is assumed that the number of the total history display objects is divided into 5 parts, i.e. 5 exposure levels are determined, wherein the number of exposure levels may also be other values, which are only exemplary.

And step S603, determining an exposure range corresponding to each exposure level, wherein the minimum value and the maximum value of the exposure range are determined according to the historical actual exposure in the exposure level.

It is assumed that the first exposure level ranges from 300 to 998, the second exposure level ranges from 999 to 2999, the third exposure level ranges from 3000 to 5999, the fourth exposure level ranges from 6000 to 9999, and the fifth exposure level ranges from 10000 to 19999.

In the embodiment of the invention, the fluctuation of the display objects is larger at the stage of starting to put on shelf, and the click rate and the visit rate of some display objects are very high at the time of restarting, but the click rate and the visit rate are lower along with the increase of the exposure; meanwhile, the click rate and the visit rate of other display objects are possibly low at the beginning, but after the exposure is increased, the click rate and the visit rate are quickly improved, the display objects can be screened in the manner of supporting the exposure through the arrangement, the worse display objects are eliminated, the reserved excellent display objects quickly enter a stabilization period, and the first order efficiency and the first order product rate of new products can be improved on the premise of ensuring constant flow efficiency, wherein the first order efficiency refers to the time from the loading of the display objects to the first order selling of the display objects.

According to the embodiment of the invention, through the data processing method, indexes such as the first order efficiency, the flow coverage rate, the head product rate, the missing start rate and the like can be effectively improved, wherein the missing start rate is equal to the number of display objects capable of being head products, namely the number of display objects capable of being head products, and the number of display objects capable of being head products; excellent display objects can be accurately identified, the class structure of the platform is optimized, and the waste of platform resources is avoided.

In one possible implementation, the number of presentation objects that can be head items may be 10% or 20% of the total presentation objects, which is merely an exemplary illustration, and the specific data is determined according to the actual situation.

A flowchart of data processing is described in the following by a complete embodiment, and in particular, as shown in fig. 7, the method specifically includes the following steps:

step S700, setting initial supporting exposure of the display object.

And step 701, exposing the display object according to the initial supporting exposure.

Step S702, obtaining the actual exposure of the display object at intervals of set time.

Step S703, determining an exposure level of the display object according to the actual exposure.

And step S704, scoring the display object.

Step S705, comparing the score with the scoring threshold of the exposure level, when the score is greater than or equal to the scoring threshold of the exposure level, executing step S7061, and when the score is less than the scoring threshold of the exposure level, executing step S7062.

Step S7061, grading the display object, and increasing the supporting exposure.

Specifically, S707 is continued after the step S7061.

Step S7062, eliminating the display object.

And step S707, continuing to expose the display object according to the increased supporting exposure.

In one possible implementation manner, after the step S707 is performed, the above step S702 is further performed.

According to the embodiment of the invention, the exposure level corresponding to the display object is determined according to the actual exposure of the display object, then the score of the display object is compared with the scoring threshold value of the exposure level, and when the score is greater than or equal to the scoring threshold value, the display object can be further increased to support the exposure, the exposure level is increased, and the display object is supported to a stationary period; when the score is smaller than the score threshold value, the display object is poorer, the exposure is wasted after the display object is supported continuously, and therefore the display object is required to be eliminated.

FIG. 8 is a schematic diagram of an apparatus for data processing according to an embodiment of the present invention. As shown in fig. 8, the apparatus of the present embodiment includes a processing unit 801, an acquisition unit 802, a determination unit 803, and a setting unit 804.

The processing unit 801 is configured to expose each display object in the display object group according to a preset supporting exposure, where the exposure is an action of performing display in response to a search request from a terminal; the acquiring unit 802 is configured to acquire statistical information of each display object at intervals of a set time, where the statistical information includes exposure data and order data of each display object, and the exposure data of the display object includes an actual exposure amount; the determining unit 803 is configured to determine an exposure level of the display object in response to the actual exposure of the display object being greater than or equal to a minimum value of any exposure level, and score the display object according to the statistical information; the setting unit 804 is configured to reset the supporting exposure of the display object in response to the score of the display object being greater than or equal to the score threshold of the corresponding exposure level; the processing unit 801 is further configured to expose the display object according to the reset supporting exposure amount.

Further, the exposure data of the display object further comprises at least one of click rate, visit rate and purchase rate, and the order data comprises order sharing rate.

Further, the setting unit is further configured to set the supporting exposure of the display object to 0 in response to the score of the display object being smaller than the score threshold of the corresponding exposure level.

Further, the determining unit is specifically configured to:

Further, the determining unit is specifically configured to: and respectively determining products of the click rate, the purchase visit rate, the purchase adding rate, the order sharing rate and corresponding weights, wherein the weights are determined according to statistical information of historical display objects.

Further, the setting unit is further configured to: and in response to the actual exposure of the display object being greater than a set threshold, determining the display object as a high-quality display object, and setting the supporting exposure of the display object to 0.

Further, the acquisition unit is further configured to: acquiring initial statistical information of each display object;

Further, a scoring threshold corresponding to the exposure level of the display object is determined according to the statistical information of the historical display object.

Further, the acquisition unit is further configured to: acquiring the historical actual exposure of all the historical display objects;

Further, the determining unit is specifically configured to:

Further, the determining unit is further configured to: determining flow efficiency and head yield corresponding to a plurality of scoring candidate thresholds in the exposure level according to each exposure level;

Fig. 9 is a schematic diagram of an electronic device according to an embodiment of the invention. The electronic device shown in fig. 9 is a general-purpose content recommendation apparatus including a general-purpose computer hardware structure including at least a processor 91 and a memory 92. The processor 91 and the memory 92 are connected by a bus 93. The memory 92 is adapted to store instructions or programs executable by the processor 91. The processor 91 may be a separate microprocessor or may be a collection of one or more microprocessors. Thus, the processor 91 implements processing of data and control of other devices by executing instructions stored by the memory 92 to perform the method flows of embodiments of the present invention as described above. A bus 93 connects the above components together, while connecting the above components to a display controller 94 and display devices and input/output (I/O) devices 95. Input/output (I/O) devices 95 may be mice, keyboards, modems, network interfaces, touch input devices, somatosensory input devices, printers, and other devices which are well known in the art. Typically, input/output devices 95 are connected to the system through input/output (I/O) controllers 96.

As will be appreciated by one skilled in the art, aspects of embodiments of the present invention may be embodied as a system, method or computer program product. Accordingly, aspects of embodiments of the invention may take the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a "circuit," module "or" system. Furthermore, aspects of embodiments of the invention may take the form of: a computer program product embodied in one or more computer-readable media having computer-readable program code embodied thereon.

Any combination of one or more computer readable media may be utilized. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The 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 suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: 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 context of embodiments of the present invention, 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.

The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, such as in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to: electromagnetic, optical, or any suitable combination thereof. The computer readable signal medium may be any of the following: a computer-readable storage medium is not a computer-readable storage medium and can communicate, propagate, or transport the program for use by or in connection with the 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, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of embodiments of the present invention may be written in any combination of one or more programming languages, including: object oriented programming languages such as Java, smalltalk, C ++, etc.; 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; executing partly on the user computer and partly on the remote computer; or entirely on a remote computer or server. In the latter scenario, 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 illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention described above describe aspects of embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer-readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.

The computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.

The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and various modifications and variations may be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method of data processing, the method comprising:

Exposing the display object according to the reset supporting exposure.

2. The method of claim 1, wherein the exposure data of the display object further comprises at least one of click rate, visit rate, and add rate, and the order data comprises an order share rate.

3. The method of claim 1, wherein the method further comprises:

4. The method of claim 2, wherein scoring the display object according to the statistical information comprises:

5. The method of claim 4, wherein the determining the display object to score according to the click through rate, the purchase rate, the add-on rate, and the order sharing rate specifically comprises:

the click rate, the visit rate, the purchase rate, the order sharing rate and the product of the corresponding weight are respectively determined, wherein the weight is determined according to the statistical information of the historical display object;

6. The method of claim 1, wherein the method further comprises:

7. The method of claim 1, wherein the method further comprises:

acquiring initial statistical information of each display object;

8. The method of claim 1, wherein the scoring threshold for the exposure level of the display object is determined based on statistical information of the historical display object.

9. The method of claim 1, wherein the exposure level is determined based on statistical information of the historical display object, and specifically comprises:

acquiring the historical actual exposure of all the historical display objects;

10. The method of claim 5, wherein the weight is determined based on statistical information of the historical display object, and specifically comprising:

11. The method of claim 8, wherein the scoring threshold corresponding to the exposure level of the display object is determined according to the statistical information of the historical display object, and specifically comprises:

12. An apparatus for data processing, the apparatus comprising:

13. A computer readable storage medium, on which computer program instructions are stored, which computer program instructions, when executed by a processor, implement the method of any one of claims 1-11.

14. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method of any of claims 1-11.

15. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the method of any of claims 1-11.