CN110058944A - Data processing method and device, electronic equipment and computer readable storage medium - Google Patents

Abstract

Embodiments of the present disclosure disclose a data processing method, an apparatus, an electronic device, and a computer-readable storage medium. The method includes: in response to a resource request of a target object, allocating a requested preset resource to the target object; acquiring log data of a user, and determining according to the log data that the preset resource is allocated to the target object and then, the behavior data of the user for the target object; and the business effect brought by the preset resource to the target object is determined according to the behavior data. Through the above-mentioned embodiments of the present disclosure, the business effect of the target object can be analyzed for the preset resources allocated to the target object, so that the target object can clarify the actual value brought by the requested preset resources.

Description

Data processing method, apparatus, electronic device, and computer-readable storage medium

technical field

The present disclosure relates to the field of computer technologies, and in particular, to a data processing method, an apparatus, an electronic device, and a computer-readable storage medium.

Background technique

With the development of the food delivery industry, the data of merchants and users has grown rapidly, and with it, the traffic has increased sharply. The traffic in the takeaway field is significantly different from the traditional Internet field. First of all, the traffic of takeaway merchants is based on geographical space, and most of what a user can see are nearby restaurant merchants; Supper, and merchants have their own catering categories. How to bring tangible business effects to merchants based on the characteristics of the takeaway field is one of the technical problems that has not yet been solved.

SUMMARY OF THE INVENTION

Embodiments of the present disclosure provide a data processing method, an apparatus, an electronic device, and a computer-readable storage medium.

In a first aspect, an embodiment of the present disclosure provides a data processing method.

Specifically, the data processing method includes:

In response to the resource request of the target object, allocating the requested preset resource to the target object;

Obtaining the log data of the user, and determining according to the log data that the target object is allocated the preset resource, the behavior data of the user for the target object;

The business effect brought by the preset resource to the target object is determined according to the behavior data.

With reference to the first aspect, in a first implementation manner of the first aspect, before allocating the requested preset resource to the target object, the present disclosure further includes:

determining the area level corresponding to the target object;

The reference value of the preset resource corresponding to the target object is determined according to the attribute information of the preset resource and the area level.

With reference to the first aspect and/or the first implementation manner of the first aspect, in the second implementation manner of the first aspect of the present disclosure, the attribute information of the preset resource includes the ranking and validity of the preset resource at least one of the time periods.

In conjunction with the first aspect, the first implementation manner of the first aspect, and/or the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the present disclosure further includes:

Determine user activity within a preset area based on historical data;

The preset area range is divided into multiple areas of different levels according to the user activity.

In conjunction with the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, and/or the third implementation manner of the first aspect, the present disclosure is in a fourth implementation manner of the first aspect , in response to the resource request of the target object, allocating the requested preset resource to the target object, including:

In response to the resource request of the target object, the reference value of the preset resource is displayed.

In conjunction with the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, the third implementation manner of the first aspect, and/or the fourth implementation manner of the first aspect, the present disclosure is In a fifth implementation manner of the first aspect, the method further includes:

In response to a retrieval request for at least one preset keyword corresponding to the target object, the retrieval result is processed according to the preset resource.

Combining the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, the third implementation manner of the first aspect, the fourth implementation manner of the first aspect, and/or the first aspect In the fifth implementation manner of the present disclosure, in the sixth implementation manner of the first aspect, the retrieval result is processed according to the preset resource, including:

When the current time is within the valid time period of the preset resource, the result corresponding to the target object is displayed at the ranking corresponding to the preset resource in the retrieval result.

In combination with the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, the third implementation manner of the first aspect, the fourth implementation manner of the first aspect, and the third implementation manner of the first aspect Five implementation manners and/or a sixth implementation manner of the first aspect, in the seventh implementation manner of the first aspect of the present disclosure, the predetermined resource is determined according to the behavior data for the target object. Business results, including:

Obtain at least one of exposure rate, click rate and/or order volume before and after allocating the preset resource to the target object according to the statistical analysis of the behavior data;

The business effect brought by the preset resource to the target object is determined by comparing at least one of the exposure rate, click rate and/or order volume before and after allocating the preset resource.

In combination with the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, the third implementation manner of the first aspect, the fourth implementation manner of the first aspect, and the third implementation manner of the first aspect Five implementations, the sixth implementation of the first aspect and/or the seventh implementation of the first aspect, the present disclosure, in the eighth implementation of the first aspect, further includes:

Display the behavior data and/or the corresponding business effect.

In combination with the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, the third implementation manner of the first aspect, the fourth implementation manner of the first aspect, and the third implementation manner of the first aspect Five implementations, a sixth implementation of the first aspect, a seventh implementation of the first aspect, and/or an eighth implementation of the first aspect, the present disclosure is in the ninth implementation of the first aspect , in response to the resource request of the target object, allocating the requested preset resource to the target object, including:

In response to the resource request of the target object, determining whether the target object is the first requester to request the preset resource;

When the target object is the requester that first requests the preset resource, the preset resource is allocated to the target object.

In a second aspect, an embodiment of the present disclosure provides a data processing apparatus.

Specifically, the data processing device includes:

an allocation module, configured to allocate the requested preset resource to the target object in response to the resource request of the target object;

an acquisition module, configured to acquire log data of the user, and determine, according to the log data, the behavior data of the user for the target object after the preset resource is allocated to the target object;

The first determining module is configured to determine, according to the behavior data, the business effect brought by the preset resource to the target object.

The functions can be implemented by hardware, or can be implemented by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the above functions.

In a possible design, the structure of the data processing apparatus includes a memory and a processor, the memory is used to store one or more computer instructions that support the data processing apparatus to execute the data processing method in the first aspect, and the processor is configured to execute computer instructions stored in the memory. The data processing apparatus may further comprise a communication interface for the data processing apparatus to communicate with other devices or a communication network.

In a third aspect, embodiments of the present disclosure provide an electronic device, including a memory and a processor; wherein the memory is used to store one or more computer instructions, wherein the one or more computer instructions are processed by the The controller executes to implement the following method steps:

In response to the resource request of the target object, allocating the requested preset resource to the target object;

Obtaining the log data of the user, and determining according to the log data that the target object is allocated the preset resource, the behavior data of the user for the target object;

The business effect brought by the preset resource to the target object is determined according to the behavior data.

With reference to the third aspect, in a first implementation manner of the third aspect, before allocating the requested preset resource to the target object, the present disclosure further includes:

determining the area level corresponding to the target object;

The reference value of the preset resource corresponding to the target object is determined according to the attribute information of the preset resource and the area level.

With reference to the third aspect and/or the first implementation manner of the third aspect, in the second implementation manner of the third aspect of the present disclosure, the attribute information of the preset resource includes the ranking and validity of the preset resource at least one of the time periods.

With reference to the third aspect, the first implementation manner of the third aspect and/or the second implementation manner of the third aspect, in the third implementation manner of the third aspect, the one or more computer instructions further Executed by the processor to implement the following method steps:

Determine user activity within a preset area based on historical data;

The preset area range is divided into multiple areas of different levels according to the user activity.

In conjunction with the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, and/or the third implementation manner of the third aspect, the present disclosure is in the fourth implementation manner of the first aspect , in response to the resource request of the target object, allocating the requested preset resource to the target object, including:

In response to the resource request of the target object, the reference value of the preset resource is displayed.

In conjunction with the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, the third implementation manner of the third aspect, and/or the fourth implementation manner of the third aspect, the present disclosure is In a fifth implementation manner of the third aspect, the one or more computer instructions are further executed by the processor to implement the following method steps:

In response to a retrieval request for at least one preset keyword corresponding to the target object, the retrieval result is processed according to the preset resource.

In combination with the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, the third implementation manner of the third aspect, the fourth implementation manner of the third aspect, and/or the third aspect In a fifth implementation manner of the present disclosure, in a sixth implementation manner of the third aspect, the retrieval result is processed according to the preset resource, including:

When the current time is within the valid time period of the preset resource, the result corresponding to the target object is displayed at the ranking corresponding to the preset resource in the retrieval result.

In combination with the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, the third implementation manner of the third aspect, the fourth implementation manner of the third aspect, and the third implementation manner of the third aspect Five implementation manners and/or a sixth implementation manner of the third aspect, in the seventh implementation manner of the third aspect of the present disclosure, the predetermined resource is determined according to the behavior data for the target object. Business results, including:

Obtain at least one of exposure rate, click rate and/or order volume before and after allocating the preset resource to the target object according to the statistical analysis of the behavior data;

The business effect brought by the preset resource to the target object is determined by comparing at least one of the exposure rate, click rate and/or order volume before and after allocating the preset resource.

In combination with the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, the third implementation manner of the third aspect, the fourth implementation manner of the third aspect, and the third implementation manner of the third aspect Five implementations, the sixth implementation of the third aspect and/or the seventh implementation of the third aspect, the present disclosure is in the eighth implementation of the third aspect, the one or more computer instructions further Executed by the processor to implement the following method steps:

Display the behavior data and/or the corresponding business effect.

In combination with the third aspect, the first implementation manner of the third aspect, the second implementation manner of the third aspect, the third implementation manner of the third aspect, the fourth implementation manner of the third aspect, and the third implementation manner of the third aspect Five implementations, the sixth implementation of the third aspect, the seventh implementation of the third aspect, and/or the eighth implementation of the third aspect, the present disclosure is in the ninth implementation of the third aspect , in response to the resource request of the target object, allocating the requested preset resource to the target object, including:

In response to the resource request of the target object, determining whether the target object is the first requester to request the preset resource;

When the target object is the requester that first requests the preset resource, the preset resource is allocated to the target object.

In a fourth aspect, embodiments of the present disclosure provide a computer-readable storage medium for storing computer instructions used by a data processing apparatus, including computer instructions for executing the data processing method in the first aspect.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

The embodiment of the present disclosure allocates preset resources to the target object based on the resource request of the target object, and after the preset resources are allocated to the target object, the user's behavior data for the target object is statistically analyzed through the user's log data, and then based on the behavior The data determines the business effect brought by the preset resource to the target object. Through the above-mentioned embodiments of the present disclosure, the business effect of the target object can be analyzed for the preset resources allocated to the target object, so that the target object can clarify the actual value brought by the preset resources requested by the target object.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

Other features, objects and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments, taken in conjunction with the accompanying drawings. In the attached image:

FIG. 1 shows a flowchart of a data processing method according to an embodiment of the present disclosure;

Fig. 2 shows a flowchart of step S101 according to the embodiment shown in Fig. 1;

FIG. 3 shows a flowchart of dividing a region-level portion according to an embodiment of the present disclosure;

FIG. 4 shows a flowchart of step S103 according to the embodiment shown in FIG. 1;

Fig. 5 shows another flowchart of step S101 according to the embodiment shown in Fig. 1;

6 shows a structural block diagram of a data processing apparatus according to an embodiment of the present disclosure;

Fig. 7 shows a structural block diagram of the allocation module 601 according to the embodiment shown in Fig. 6;

FIG. 8 shows a structural block diagram of a divisional area level part according to an embodiment of the present disclosure;

Fig. 9 shows a structural block diagram of the first determination module 603 according to the embodiment shown in Fig. 6;

Fig. 10 shows another structural block diagram of the allocation module 601 according to the embodiment shown in Fig. 6;

FIG. 11 is a schematic structural diagram of an electronic device suitable for implementing a data processing method according to an embodiment of the present disclosure.

Detailed ways

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts unrelated to describing the exemplary embodiments are omitted from the drawings.

In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts, or combinations thereof disclosed in this specification, and are not intended to exclude a or multiple other features, numbers, steps, acts, components, parts, or combinations thereof may exist or be added.

In addition, it should be noted that the embodiments of the present disclosure and the features of the embodiments may be combined with each other under the condition of no conflict. The present disclosure will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

FIG. 1 shows a flowchart of a data processing method according to an embodiment of the present disclosure. As shown in FIG. 1, the data processing method includes the following steps S101-S103:

In step S101, in response to the resource request of the target object, allocate the requested preset resource to the target object;

In step S102, the log data of the user is obtained, and after it is determined according to the log data that the preset resource is allocated to the target object, the behavior data of the user for the target object;

In step S103, the business effect brought by the preset resource to the target object is determined according to the behavior data.

In this embodiment, the target object may be a system object in an online platform that provides services to users, such as content, content providers, merchants, products, and the like. Online platforms include but are not limited to content distribution platforms, electronic merchant platforms, etc. For a content distribution platform, the system object can be an article, a piece of shared text, a video, a content publisher, etc., while for an electronic merchant platform, the system object can be a merchant, a product, and so on. The system objects involved in this embodiment are mainly related to providing data, content, products, etc., and sharing the online platform for users to browse, use, and purchase.

The online platform can allocate the requested preset resource to the target object based on the resource request of the target object, and increase the user traffic of the target object through the preset resource, so that the system object can be more exposed to the user for the user to click , browse, use, purchase, etc.

The preset resources may be platform resources provided by the online platform to increase the user traffic of the target object, including but not limited to retrieval exposure resources, such as retrieval result ranking. In some embodiments, one or more preset retrieval result rankings (for example, the 5th and 10th positions) may be opened, and at the request of the target object, the open retrieval result ranking may be assigned to the target object, and then After the user enters the preset keywords corresponding to the target object through the online platform, in the output search results, the ranking of the target object can be improved to the ranking corresponding to the allocated preset resources, so as to improve the exposure rate of the target object . Of course, it can be understood that when the ranking of the search results obtained by the target object through the general retrieval method used by the online platform is before the ranking corresponding to the preset resource, the ranking of the retrieval results obtained by the general retrieval method shall prevail.

In this embodiment, in order to verify whether the preset resources allocated to the target object can achieve the effect of increasing the traffic of the target object, log data generated by the user accessing the online platform can be obtained from the user's client, and the log data can be statistically analyzed , to get the user's behavior data for the target object. The behavior data includes, but is not limited to, browsing, clicking, and purchasing data of the target object.

The business effect brought by the preset resources to the target object can be measured by analyzing the user's behavior data on the target object and obtaining the exposure rate, click rate and/or order volume of the target object after the preset resources are allocated. For example, the business effect brought by the preset resource to the target object is determined by comparing at least one of the exposure rate, click rate, and order volume of the target object before and after the preset resource allocation.

The embodiment of the present disclosure allocates preset resources to the target object based on the resource request of the target object, and after the preset resources are allocated to the target object, the user's behavior data for the target object is statistically analyzed through the user's log data, and then based on the behavior The data determines the business effect brought by the preset resource to the target object. Through the above-mentioned embodiments of the present disclosure, the business effect of the target object can be analyzed for the preset resources allocated to the target object, so that the target object can clarify the actual value brought by the preset resources requested by the target object.

In an optional implementation manner of this embodiment, as shown in FIG. 2, before allocating the requested preset resource to the target object in the step S101, the method further includes the following steps S201-S202:

In step S201, the area level corresponding to the target object is determined;

In step S202, the reference value of the preset resource corresponding to the target object is determined according to the attribute information of the preset resource and the regional level.

In this optional implementation, for some target objects, the preset resources may be sensitive to the sales area. For example, the preset resources may have different values in different sales areas. For example, in a takeaway platform, for hotspot areas For merchants in non-hot areas, the value of the same preset resource is different. The value of this preset resource is greater for merchants in hot areas than for merchants in non-hot areas. This is because the user traffic in hot areas is large and merchants are The exposure rate is greater than the exposure rate of merchants in non-hot areas. Therefore, the area level corresponding to the target object may be determined according to the area corresponding to the target object, and the area level may be determined according to the actual situation, which is not limited here.

In addition, different preset resources have different values for the same target object. For example, the value of the preset resources ranked first in the retrieval resources is greater than the preset resources ranked in the lower retrieval resources. Therefore, the reference value of the preset resource corresponding to the target object can be determined according to the attribute information of the preset resource and the regional level of the target object.

In some embodiments, the attribute information of the preset resource includes at least one of a ranking and a valid period corresponding to the preset resource.

When the preset resources are ranked for the retrieval results, the ranking order will also affect the exposure rate of the target objects, so the ranking of the preset resources also has an impact on the reference value of the preset resources corresponding to the target objects.

In addition, the effective period of the preset resource may be the period in which the preset resource is active, and the effective period may be allocated to the preset resource according to the actual situation, and the reference value of the same preset resource may be different in different effective periods.

The use of preset resources in different time periods may bring different values to the target object. This is because the retrieval time period is different, and the exposure rate of the target object is also different; the number of users who search in the popular time period is much larger than the unpopular time. Therefore, under the same ranking, the number of users accessing the target object in the popular time period will also be greater than the number of users accessing the target object in the unpopular time period. Therefore, the validity period of the preset resource also affects the reference value of the preset resource corresponding to the target object.

Therefore, in some embodiments, for the same preset resource, different regional levels and/or different valid periods may correspond to different reference values, that is, for the same preset resource, the same region level corresponds to a Different regional levels in different valid periods can correspond to different reference values, and different regional levels in the same valid period can also correspond to different reference values. In this way, it is more accurate and effective to obtain the reference value of the preset resource.

In this embodiment, since the target objects correspond to different regional levels, even the same preset resource may have different reference values for different target objects. Therefore, in this embodiment of the present disclosure, the attribute information of the preset resource and the area level corresponding to the target object are used to determine the reference value of the preset resource for the target object. The reference value may correspond to the price paid by the target object to obtain the preset resource from the online platform.

In an optional implementation manner of this embodiment, as shown in FIG. 3 , the method further includes the following steps S301-S302:

In step S301, the user activity level within a preset area is determined according to historical data;

In step S302, the preset area range is divided into multiple areas of different levels according to the user activity.

In this optional implementation manner, the sales areas corresponding to the online platforms may be divided according to the degree of hotspots, and the division may be based on the user activity of the online platforms in different areas. User activity can be measured according to at least one of the number of pageviews, clicks, and orders placed on the online platform of users in different regions. Regions with higher user activity are more popular, and regions with lower user activity are more popular. lower. In the embodiment of the present disclosure, the preset area range can be divided into areas of different levels by counting the user activity in different areas within a historical time period.

In an optional implementation manner of this embodiment, the step S101 is the step of allocating the requested preset resource to the target object in response to the resource request of the target object, and further includes the following steps:

In response to the resource request of the target object, the reference value of the preset resource is displayed.

In this optional implementation, after the reference value of the preset resource is determined according to the region level corresponding to the target object and the attribute information of the preset resource, when the target object requests the resource, the reference value corresponding to the preset resource can be displayed to The target object, the target object can purchase the preset resource from the online platform based on the reference value, and the online platform allocates the preset resource to the target object after the purchase is successful.

In an optional implementation manner of this embodiment, the method further includes the following steps:

In response to a retrieval request for at least one preset keyword corresponding to the target object, the retrieval result is processed according to the preset resource.

In this optional implementation manner, in order to increase the user traffic of the target object, the main method is to increase the exposure rate of the target object at the user. In this embodiment of the present disclosure, after a retrieval request from a user is received, if the keyword input by the user is a preset keyword corresponding to the target object, a result corresponding to the target object will appear in the retrieval result. If the resource is set, the retrieval result can be processed according to the preset resource, so as to improve the exposure rate of the target object.

In an optional implementation manner of this embodiment, the step of processing the retrieval result according to the preset resource further includes the following steps:

When the current time is within the valid time period of the preset resource, the result corresponding to the target object is displayed at the ranking corresponding to the preset resource in the retrieval result.

In this optional implementation manner, the preset resource corresponds to a fixed ranking in the retrieval result, and the preset resource corresponds to a valid period. If the current retrieval is within the valid period of the preset resource, the result of the target object is displayed in the preset resource. Set the rank corresponding to the resource. In this way, the retrieval results can be displayed according to the preset resources allocated to the target object, which can improve the exposure rate of the target object and increase the user traffic of the target object to a certain extent.

In an optional implementation manner of this embodiment, as shown in FIG. 4 , the step S103 is the step of determining the business effect brought by the preset resource to the target object according to the behavior data, and further includes The following steps S401-S402:

In step S401, at least one of the exposure rate, click rate and/or order volume before and after allocating the preset resource to the target object is obtained according to the statistical analysis of the behavior data;

In step S402, the business effect brought by the preset resource to the target object is determined by comparing at least one of the exposure rate, click rate and/or order volume before and after allocating the preset resource.

In this optional implementation manner, behavior data such as browsing, clicking, and ordering of the target object by the user within a period of time can be determined by analyzing the user log, and the exposure of the target object within a period of time can be determined by statistical analysis of these behavior data The exposure rate, the click rate and/or the number of orders can be used to measure the performance of the target object over a period of time. Therefore, in order to determine whether the preset resource has brought the expected business effect to the target object after the target object requests the allocation of the preset resource, it is possible to compare the exposure rate, click-through rate and/or The amount of the order is determined. If the target object's exposure rate, click-through rate and/or number of orders have increased after the preset resources are allocated, it can be determined that the preset resources have brought certain business effects to the target object, and the level of business effects is related to the The level of exposure, click-through rate, and/or order volume, etc. is related.

In an optional implementation manner of this embodiment, the method further includes the following steps:

Display the behavior data and/or the corresponding business effect.

In this optional implementation manner, after the behavior data of the user on the target object is obtained, and the business effect brought by the preset resource to the target object is determined according to the behavior data, the behavior data and/or the business effect can be displayed to the target object , so that the target object can evaluate whether the requested preset resource brings expected value to itself, and can help the target object select the preset resource suitable for itself.

In an optional implementation manner of this embodiment, as shown in FIG. 5 , the step S101 , that is, the step of allocating the requested preset resource to the target object in response to the resource request of the target object, further includes the following steps: Steps S501-S502:

In step S501, in response to the resource request of the target object, it is determined whether the target object is the object that first requests the preset resource;

In step S502, when the target object is the object that first requests the preset resource, the preset resource is allocated to the target object.

In this optional implementation manner, the same preset resource can be allocated to the same target object, and when multiple objects request the same preset resource, the preset resource can be allocated to the first requester based on the principle of prioritizing allocation to the first requester. The object of the request. Therefore, when the target object is the object that first requests the preset resource, the preset resource is allocated to the target object.

The following are the apparatus embodiments of the present disclosure, which can be used to execute the method embodiments of the present disclosure.

FIG. 6 shows a structural block diagram of a data processing apparatus according to an embodiment of the present disclosure, and the apparatus may be implemented by software, hardware, or a combination of the two to become part or all of an electronic device. As shown in Figure 6, the data processing device includes:

an allocation module 601, configured to, in response to a resource request of a target object, allocate the requested preset resource to the target object;

The obtaining module 602 is configured to obtain the log data of the user, and after determining that the preset resource is allocated to the target object according to the log data, the behavior data of the user for the target object;

The first determining module 603 is configured to determine, according to the behavior data, the business effect brought by the preset resource to the target object.

In this embodiment, the target object may be a system object in an online platform that provides services to users, such as content, content providers, merchants, products, and the like. Online platforms include but are not limited to content distribution platforms, electronic merchant platforms, etc. For a content distribution platform, the system object can be an article, a piece of shared text, a video, a content publisher, etc., while for an electronic merchant platform, the system object can be a merchant, a product, and so on. The system objects involved in this embodiment are mainly related to providing data, content, products, etc., and sharing the online platform for users to browse, use, and purchase.

The online platform can allocate the requested preset resource to the target object based on the resource request of the target object, and increase the user traffic of the target object through the preset resource, so that the system object can be more exposed to the user for the user to click , browse, use, purchase, etc.

The preset resources may be platform resources provided by the online platform to increase the user traffic of the target object, including but not limited to retrieval exposure resources, such as retrieval result ranking. In some embodiments, one or more preset retrieval result rankings (for example, the 5th and 10th positions) may be opened, and at the request of the target object, the open retrieval result ranking may be assigned to the target object, and then After the user enters the preset keywords corresponding to the target object through the online platform, in the output search results, the ranking of the target object can be improved to the ranking corresponding to the allocated preset resources, so as to improve the exposure rate of the target object . Of course, it can be understood that when the ranking of the search results obtained by the target object through the general retrieval method used by the online platform is before the ranking corresponding to the preset resource, the ranking of the retrieval results obtained by the general retrieval method shall prevail.

In this embodiment, in order to verify whether the preset resources allocated to the target object can achieve the effect of increasing the traffic of the target object, log data generated by the user accessing the online platform can be obtained from the user's client, and the log data can be statistically analyzed , to get the user's behavior data for the target object. The behavior data includes, but is not limited to, browsing, clicking, and purchasing data of the target object.

The business effect brought by the preset resources to the target object can be measured by analyzing the user's behavior data on the target object and obtaining the exposure rate, click rate and/or order volume of the target object after the preset resources are allocated. For example, the business effect brought by the preset resource to the target object is determined by comparing at least one of the exposure rate, click rate, and order volume of the target object before and after the preset resource allocation.

The embodiment of the present disclosure allocates preset resources to the target object based on the resource request of the target object, and after the preset resources are allocated to the target object, the user's behavior data for the target object is statistically analyzed through the user's log data, and then based on the behavior The data determines the business effect brought by the preset resource to the target object. Through the above-mentioned embodiments of the present disclosure, the business effect of the target object can be analyzed for the preset resources allocated to the target object, so that the target object can clarify the actual value brought by the preset resources requested by the target object.

In an optional implementation manner of this embodiment, as shown in FIG. 7 , the allocation module 601 includes:

The first determination submodule 701 is configured to determine the area level corresponding to the target object;

The second determination sub-module 702 is configured to determine the reference value of the preset resource corresponding to the target object according to the attribute information of the preset resource and the regional level.

In this optional implementation, for some target objects, the preset resources may be sensitive to the sales area. For example, the preset resources may have different values in different sales areas. For example, in a takeaway platform, for hotspot areas For merchants in non-hot areas, the value of the same preset resource is different. The value of this preset resource is greater for merchants in hot areas than for merchants in non-hot areas. This is because the user traffic in hot areas is large and merchants are The exposure rate is greater than the exposure rate of merchants in non-hot areas. Therefore, the area level corresponding to the target object may be determined according to the area corresponding to the target object, and the area level may be determined according to the actual situation, which is not limited here.

In addition, different preset resources have different values for the same target object. For example, the value of the preset resources ranked first in the retrieval resources is greater than the preset resources ranked in the lower retrieval resources. Therefore, the reference value of the preset resource corresponding to the target object can be determined according to the attribute information of the preset resource and the regional level of the target object.

In some embodiments, the attribute information of the preset resource includes at least one of a ranking and a valid period corresponding to the preset resource.

When the preset resources are ranked for the retrieval results, the ranking order will also affect the exposure rate of the target objects, so the ranking of the preset resources also has an impact on the reference value of the preset resources corresponding to the target objects.

In addition, the effective period of the preset resource may be the period in which the preset resource is active, and the effective period may be allocated to the preset resource according to the actual situation, and the reference value of the same preset resource may be different in different effective periods.

The use of preset resources in different time periods may bring different values to the target object. This is because the retrieval time period is different, and the exposure rate of the target object is also different; the number of users who search in the popular time period is much larger than the unpopular time. Therefore, under the same ranking, the number of users accessing the target object in the popular time period will also be greater than the number of users accessing the target object in the unpopular time period. Therefore, the validity period of the preset resource also affects the reference value of the preset resource corresponding to the target object.

Therefore, in some embodiments, for the same preset resource, different regional levels and/or different valid periods may correspond to different reference values, that is, for the same preset resource, the same region level corresponds to a Different regional levels in different valid periods can correspond to different reference values, and different regional levels in the same valid period can also correspond to different reference values. In this way, it is more accurate and effective to obtain the reference value of the preset resource.

In this embodiment, since the target objects correspond to different regional levels, even the same preset resource may have different reference values for different target objects. Therefore, in this embodiment of the present disclosure, the attribute information of the preset resource and the area level corresponding to the target object are used to determine the reference value of the preset resource for the target object. The reference value may correspond to the price paid by the target object to obtain the preset resource from the online platform.

In an optional implementation manner of this embodiment, as shown in FIG. 8 , the apparatus further includes:

The second determination module 801 is configured to determine the user activity within a preset area according to historical data;

The dividing module 802 is configured to divide the preset area range into multiple areas of different levels according to the user activity.

In this optional implementation manner, the sales areas corresponding to the online platforms may be divided according to the degree of hotspots, and the division may be based on the user activity of the online platforms in different areas. User activity can be measured according to at least one of the number of pageviews, clicks, and orders placed on the online platform of users in different regions. Regions with higher user activity are more popular, and regions with lower user activity are more popular. lower. In the embodiment of the present disclosure, the preset area range can be divided into areas of different levels by counting the user activity in different areas within a historical time period.

In an optional implementation manner of this embodiment, the allocation module 601 further includes:

The first display sub-module is configured to display the reference value of the preset resource in response to the resource request of the target object.

In this optional implementation, after the reference value of the preset resource is determined according to the region level corresponding to the target object and the attribute information of the preset resource, when the target object requests the resource, the reference value corresponding to the preset resource can be displayed to The target object, the target object can purchase the preset resource from the online platform based on the reference value, and the online platform allocates the preset resource to the target object after the purchase is successful.

In an optional implementation manner of this embodiment, the apparatus further includes:

The processing module is configured to, in response to a retrieval request for at least one preset keyword corresponding to the target object, process a retrieval result according to the preset resource.

In this optional implementation manner, in order to increase the user traffic of the target object, the main method is to increase the exposure rate of the target object at the user. In this embodiment of the present disclosure, after a retrieval request from a user is received, if the keyword input by the user is a preset keyword corresponding to the target object, a result corresponding to the target object will appear in the retrieval result. If the resource is set, the retrieval result can be processed according to the preset resource, so as to improve the exposure rate of the target object.

In an optional implementation manner of this embodiment, the processing module includes:

The second display sub-module is configured to display the result corresponding to the target object at the ranking corresponding to the preset resource in the retrieval result when the current time is within the valid time period of the preset resource.

In this optional implementation manner, the preset resource corresponds to a fixed ranking in the retrieval result, and the preset resource corresponds to a valid period. If the current retrieval is within the valid period of the preset resource, the result of the target object is displayed in the preset resource. Set the rank corresponding to the resource. In this way, the retrieval results can be displayed according to the preset resources allocated to the target object, which can improve the exposure rate of the target object and increase the user traffic of the target object to a certain extent.

In an optional implementation manner of this embodiment, as shown in FIG. 9 , the first determining module 603 includes:

The analysis sub-module 901 is configured to obtain at least one of the exposure rate, click rate and/or order volume before and after allocating the preset resource to the target object according to the statistical analysis of the behavior data;

The third determination sub-module 902 is configured to determine that the preset resource is the target object band by comparing at least one of the exposure rate, click rate and/or order amount before and after allocating the preset resource business results.

In this optional implementation manner, behavior data such as browsing, clicking, and ordering of the target object by the user within a period of time can be determined by analyzing the user log, and the exposure of the target object within a period of time can be determined by statistical analysis of these behavior data The exposure rate, the click rate and/or the number of orders can be used to measure the performance of the target object over a period of time. Therefore, in order to determine whether the preset resource has brought the expected business effect to the target object after the target object requests the allocation of the preset resource, it is possible to compare the exposure rate, click-through rate and/or The amount of the order will be determined. If the target object's exposure rate, click-through rate and/or number of orders have increased after the preset resources are allocated, it can be determined that the preset resources have brought certain business effects to the target object, and the level of business effects is related to the The level of exposure, click-through rate, and/or order volume, etc. is related.

In an optional implementation manner of this embodiment, the apparatus further includes:

The display module is configured to display the behavior data and/or the corresponding business effect.

In this optional implementation manner, after the behavior data of the user on the target object is obtained, and the business effect brought by the preset resource to the target object is determined according to the behavior data, the behavior data and/or the business effect can be displayed to the target object , so that the target object can evaluate whether the requested preset resource brings expected value to itself, and can help the target object select the preset resource suitable for itself.

In an optional implementation manner of this embodiment, as shown in FIG. 10 , the allocation module 601 includes:

The fourth determination sub-module 1001 is configured to, in response to the resource request of the target object, determine whether the target object is the object that first requests the preset resource;

The allocation sub-module 1002 is configured to allocate the preset resource to the target object when the target object is the object that first requests the preset resource.

In this optional implementation manner, the same preset resource can be allocated to the same target object, and when multiple objects request the same preset resource, the preset resource can be allocated to the first requester based on the principle of prioritizing allocation to the first requester. The object of the request. Therefore, when the target object is the object that first requests the preset resource, the preset resource is allocated to the target object.

Embodiments of the present disclosure also provide an electronic device, as shown in FIG. 11 , comprising at least one processor 1101 ; and a memory 1102 communicatively connected to the at least one processor 1101 ; wherein, the memory 1102 stores information that can be used by the at least one processor Instructions executed by 1101, the instructions are executed by at least one processor 1101 to achieve:

In response to the resource request of the target object, allocating the requested preset resource to the target object;

Obtaining the log data of the user, and determining according to the log data that the target object is allocated the preset resource, the behavior data of the user for the target object;

The business effect brought by the preset resource to the target object is determined according to the behavior data.

Further, before allocating the requested preset resource to the target object, the method further includes:

determining the area level corresponding to the target object;

The reference value of the preset resource corresponding to the target object is determined according to the attribute information of the preset resource and the area level.

Further, the attribute information of the preset resource includes at least one of a ranking and a valid period corresponding to the preset resource.

Further, the one or more computer instructions are also executed by the processor to implement the following method steps:

Determine user activity within a preset area based on historical data;

The preset area range is divided into multiple areas of different levels according to the user activity.

Further, in response to the resource request of the target object, allocating the requested preset resource to the target object, including:

In response to the resource request of the target object, the reference value of the preset resource is displayed.

Further, the one or more computer instructions are also executed by the processor to implement the following method steps:

In response to a retrieval request for at least one preset keyword corresponding to the target object, the retrieval result is processed according to the preset resource.

Further, processing the retrieval result according to the preset resource includes:

When the current time is within the valid time period of the preset resource, the result corresponding to the target object is displayed at the ranking corresponding to the preset resource in the retrieval result.

Further, determining the business effect brought by the preset resource to the target object according to the behavior data, including:

Obtain at least one of exposure rate, click rate and/or order volume before and after allocating the preset resource to the target object according to the statistical analysis of the behavior data;

The business effect brought by the preset resource to the target object is determined by comparing at least one of the exposure rate, click rate and/or order volume before and after allocating the preset resource.

Further, the one or more computer instructions are also executed by the processor to implement the following method steps:

Display the behavior data and/or the corresponding business effect.

Further, in response to the resource request of the target object, allocating the requested preset resource to the target object, including:

In response to the resource request of the target object, determining whether the target object is the first requester to request the preset resource;

When the target object is the requester that first requests the preset resource, the preset resource is allocated to the target object.

Specifically, the processor 1101 and the memory 1102 may be connected through a bus or in other ways, and the connection through a bus is taken as an example in FIG. 11 . The memory 1102, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules. The processor 1101 executes various functional applications and data processing of the device by running the non-volatile software programs, instructions and modules stored in the memory 1102, ie, implements the above methods in the embodiments of the present disclosure.

The memory 1102 may include a storage program area and a storage data area, wherein the storage program area may store an operating system and an application program required by at least one function; the storage data area may store historical data of shipping network transportation, and the like. Additionally, memory 1102 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the electronic device optionally includes a communication component 1103 , and the memory 1102 optionally includes memory located remotely relative to the processor 1101 , and these remote memories may be connected to an external device through the communication component 1103 . Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

One or more modules are stored in the memory 1102, and when executed by one or more processors 1101, perform the above-mentioned methods in the embodiments of the present disclosure.

The above-mentioned products can execute the methods provided by the embodiments of the present disclosure, and have corresponding functional modules and beneficial effects for executing the methods. For technical details not described in detail in the embodiments of the present disclosure, reference may be made to the methods provided by the embodiments of the present disclosure.

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 disclosure. In this regard, each block in the diagram or block diagram may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function. executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks 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 is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The units or modules involved in the embodiments of the present disclosure can be implemented in software or hardware. The described units or modules may also be provided in the processor, and the names of these units or modules do not constitute a limitation on the units or modules themselves in certain circumstances.

As another aspect, the present disclosure also provides a computer-readable storage medium, and the computer-readable storage medium may be a computer-readable storage medium included in the apparatus described in the foregoing embodiments; A computer-readable storage medium that fits into a device. The computer-readable storage medium stores one or more programs used by one or more processors to perform the methods described in the present disclosure.

The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, and should also cover the above-mentioned technical features without departing from the inventive concept. Other technical solutions formed by any combination of its equivalent features. For example, a technical solution is formed by replacing the above features with the technical features disclosed in the present disclosure (but not limited to) with similar functions.

Claims (10)

1. A data processing method, comprising:

responding to a resource request of a target object, and distributing the requested preset resource for the target object;

acquiring log data of a user, and determining behavior data of the user aiming at the target object after the preset resources are allocated to the target object according to the log data;

and determining the business effect brought to the target object by the preset resource according to the behavior data.

2. The method of claim 1, wherein before allocating the requested preset resource for the target object, further comprising:

determining the region level corresponding to the target object;

and determining the reference value of the preset resource corresponding to the target object according to the attribute information of the preset resource and the regional level.

3. The method according to claim 1 or 2, wherein the attribute information of the preset resource includes at least one of a ranking and a valid period corresponding to the preset resource.

4. The method of claim 2, further comprising:

determining the user activity within a preset area range according to historical data;

and dividing the preset area range into a plurality of areas with different levels according to the user activity.

5. The method of claim 2, wherein allocating the requested preset resource for the target object in response to the resource request of the target object comprises:

and responding to the resource request of the target object, and displaying the reference value of the preset resource.

6. The method of claim 5, further comprising:

and responding to a retrieval request aiming at least one preset keyword corresponding to the target object, and processing a retrieval result according to the preset resource.

7. The method of claim 6, wherein processing the search result according to the preset resource comprises:

and when the current time is in the effective time period of the preset resources, displaying the result corresponding to the target object at the ranking position corresponding to the preset resources in the retrieval result.

8. A data processing apparatus, comprising:

the allocation module is configured to respond to a resource request of a target object and allocate the requested preset resource to the target object;

the acquisition module is configured to acquire log data of a user, and determine behavior data of the user for the target object after the preset resources are allocated to the target object according to the log data;

and the first determining module is configured to determine a business effect brought by the preset resource to the target object according to the behavior data.

9. An electronic device comprising a memory and a processor; wherein,

the memory is for storing one or more computer instructions, wherein the one or more computer instructions are executed by the processor to implement the method steps of:

responding to a resource request of a target object, and distributing the requested preset resource for the target object;

acquiring log data of a user, and determining behavior data of the user aiming at the target object after the preset resources are allocated to the target object according to the log data;

and determining the business effect brought to the target object by the preset resource according to the behavior data.

10. A computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions, when executed by a processor, implement the method of any one of claims 1-7.