CN111861573A

CN111861573A - Information delivery processing method and device, storage medium and electronic equipment

Info

Publication number: CN111861573A
Application number: CN202010723690.9A
Authority: CN
Inventors: 张园美
Original assignee: Netease Media Technology Beijing Co Ltd
Current assignee: Netease Media Technology Beijing Co Ltd
Priority date: 2020-07-24
Filing date: 2020-07-24
Publication date: 2020-10-30

Abstract

The embodiment of the invention relates to an information delivery processing method, an information delivery processing device, a storage medium and electronic equipment, and relates to the technical field of data processing. The information delivery processing method comprises the following steps: submitting plan data of a target information delivery service to a service party, and enabling the service party to deliver target information by adopting the plan data; acquiring visual diagnosis information of the target information delivery service; the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the target information delivering process; and presenting the visual diagnosis information in response to the diagnosis entrance being triggered on the interface of the target information. The method and the system visually display the diagnosis and feedback results of the target information delivery service through the visual diagnosis information, are convenient to check, and save the labor cost.

Description

Information delivery processing method and device, storage medium and electronic equipment

Technical Field

The embodiments of the present invention relate to the field of data processing technologies, and in particular, to an information delivery processing method, an information delivery processing apparatus, a computer-readable storage medium, and an electronic device.

Background

This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims and the description herein is not admitted to be prior art by inclusion in this section.

The information delivery means that specific information, such as news, commodity information, blog articles, advertisements, etc., is delivered to a webpage or an App (Application program) page, or is pushed to a user in the form of a short message or an App message.

In the prior art, after a requester (i.e. all parties of information) puts in information, special personnel are generally required to check a system page in real time and confirm feedback data such as conversion cost, click rate and the like so as to evaluate the putting effect; when the putting effect is not good, the related putting plan can be adjusted so as to improve the putting effect.

Disclosure of Invention

However, most of the feedback data in the prior art is data acquired at some nodes in the information delivery process (for example, the feedback data is acquired by generally adopting a point burying mode), which is not intuitive enough, and is not beneficial to making accurate and timely adjustment on the delivery plan, and the mode of arranging personnel to view the page in real time by the requester requires higher labor cost.

Therefore, an improved information delivery processing method is highly needed, which can provide more intuitive feedback for information delivery and reduce the consumption of labor cost.

In this context, embodiments of the present invention are intended to provide an information delivery processing method, an information delivery processing apparatus, a computer-readable storage medium, and an electronic device.

According to a first aspect of an embodiment of the present invention, there is provided an information delivery processing method, including: submitting plan data of a target information delivery service to a service party, and enabling the service party to deliver target information by adopting the plan data; acquiring visual diagnosis information of the target information delivery service; the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the target information delivering process; and presenting the visual diagnosis information in response to the diagnosis entrance being triggered on the interface of the target information.

In an optional embodiment, the obtaining the visual diagnostic information of the target information delivery service includes: receiving the monitoring data returned by the server; determining evaluation data of the target information delivery service according to the plan data and the monitoring data; generating the visual diagnostic information from the assessment data.

In an optional implementation manner, the determining, according to the planning data and the monitoring data, evaluation data of the target information delivery service includes: determining at least one diagnostic score based on the planning data and the monitoring data, wherein each diagnostic score represents a diagnostic score of an aspect of the targeted information placement service.

In an alternative embodiment, the generating the visual diagnostic information from the assessment data includes: and determining at least one corresponding diagnosis text according to the at least one diagnosis score, and generating at least one piece of visual diagnosis information according to the at least one diagnosis score and the at least one diagnosis text.

In an optional embodiment, the planning data includes planning cost data of the target information and a target release duration; the monitoring data comprises the predicted putting duration and/or the actual putting duration of the target information and the cost consumption data of the target information; said determining at least one diagnostic score from said planning data and said monitoring data comprises: and determining a first diagnosis score according to the planned cost data, the target release duration, the predicted release duration and/or the actual release duration of the target information and the cost consumption data of the target information.

In an alternative embodiment, the determining a first diagnostic score according to the planned cost data and the predicted delivery duration and/or actual delivery duration of the objective information and the cost consumption data of the objective information includes: determining the delivery duration rate and the budget utilization rate of the target information; the delivery duration rate is the ratio of the predicted delivery duration to the target delivery duration and/or the ratio of the actual delivery duration to the target delivery duration of the target information, and the budget utilization rate is the ratio of the cost consumption data of the target information to the plan cost data; and acquiring a corresponding first diagnosis score according to the interval distribution of the release duration rate and the budget utilization rate of the target information.

In an alternative embodiment, the planning data includes bidding data for the targeted information, and the monitoring data includes bidding data for homogeneous information for the targeted information; said determining at least one diagnostic score from said planning data and said monitoring data comprises: and determining a second diagnosis score according to the bidding data of the target information and the bidding data of the similar information of the target information.

In an alternative embodiment, the determining a second diagnostic score according to the bidding data of the target information and the bidding data of the homogeneous information of the target information includes: obtaining bidding data of the same kind of information of the target information and calculating the distribution of the bidding data; and acquiring a corresponding second diagnosis score according to the interval distribution of the bidding data of the target information in the bidding data of the same kind of information of the target information.

In an optional embodiment, the plan data includes plan delivery group data of the target information, and the monitoring data includes directional delivery group data of homogeneous information of the target information; said determining at least one diagnostic score from said planning data and said monitoring data comprises: and determining a third diagnosis score according to the planned delivery group data of the target information and the directional delivery group data of the same kind of information of the target information.

In an optional embodiment, the determining a third diagnostic score according to the planned delivery group data of the target information and the targeted delivery group data of the homogeneous information of the target information includes: matching the planned delivery group data of the target information with the attribute data of a consumer to determine a targeted delivery group of the target information in the consumer; determining the directional coverage of the target information according to the directional release population of the target information; acquiring directional delivery group data of the same kind of information of the target information and matching the directional delivery group data with attribute data of a consumer so as to determine a directional delivery group of the same kind of information of the target information in the consumer; determining the directional coverage of the same kind of information of the target information according to the directional release group of the same kind of information of the target information; and acquiring a corresponding third diagnosis score according to the interval distribution of the directional coverage of the target information in the directional coverage of the same kind of information of the target information.

In an optional embodiment, the monitoring data includes a diversion rate of the target information, a diversion rate of homogeneous information of the target information; said determining at least one diagnostic score from said planning data and said monitoring data comprises: and determining a fourth diagnosis score according to the diversion rate of the target information and the diversion rate of the same kind of information of the target information.

In an alternative embodiment, the determining the fourth diagnostic score according to the diversion rate of the target information and the diversion rate of the same type of information of the target information includes: acquiring the flow guide rate of the target information; acquiring the flow conductivity of the same kind of information of the target information; and acquiring a corresponding fourth diagnosis score according to the interval distribution of the diversion rate of the target information in the diversion rate of the same kind of information of the target information.

In an optional implementation manner, the determining, according to the planning data and the monitoring data, evaluation data of the target information delivery service further includes: when at least two diagnostic scores are determined from the planning data and the monitoring data, a composite diagnostic score is generated from the at least two diagnostic scores.

In an alternative embodiment, the generating the visual diagnostic information from the assessment data includes: and determining a corresponding comprehensive diagnosis text according to the comprehensive diagnosis score, and generating at least one piece of visual diagnosis information according to the comprehensive diagnosis score and the comprehensive diagnosis text.

In an alternative embodiment, the generating the visual diagnostic information from the assessment data includes: and generating the visual diagnosis information through the evaluation data at least one preset time node in the process of putting the target information.

In an optional embodiment, the obtaining the visual diagnostic information of the target information delivery service includes: and receiving visual diagnosis information of the target information delivery service returned by the server, wherein the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the target information delivery process by the server.

In an alternative embodiment, the visual diagnostic information is displayed on a diagnostic interface of the target information; the diagnosis interface also comprises a plan modification column which is used for modifying the plan data of the target information delivery service.

In an optional embodiment, the method further comprises: when new plan data of the target information delivery service input in the plan modification bar is acquired, submitting the new plan data to the service party; and receiving updated visual diagnosis information corresponding to the new plan data returned by the server and displaying the updated visual diagnosis information in the diagnosis interface.

In an alternative embodiment, the diagnostic interface further includes suggested plan data for providing suggested information for modification of the plan data.

In an alternative embodiment, the diagnostic interface further comprises a desired data field; the method further comprises the following steps: when expected data of the target information delivery service input in the expected numerical value column is acquired, submitting the expected data to the service party; and receiving the suggested plan data corresponding to the expected data returned by the service party and displaying the suggested plan data in the diagnosis interface.

According to a second aspect of the embodiments of the present invention, there is provided an information delivery processing method, including: acquiring plan data of a target information delivery service submitted by a requester; determining evaluation data of the target information delivery service according to the plan data and monitoring data in the target information delivery process by adopting the plan data; generating visual diagnostic information from the assessment data; and returning the visual diagnosis information to the requester, so that the requester presents the visual diagnosis information by triggering a diagnosis entry on an interface of the target information.

In an optional implementation manner, the determining, according to the plan data and the monitoring data in the process of delivering the target information by using the plan data, evaluation data of the target information delivery service includes: and determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting the target information by adopting the plan data, wherein each diagnosis score represents the diagnosis score of the target information putting service in one aspect.

In an alternative embodiment, the generating of the visual diagnostic information from the assessment data includes: and determining at least one corresponding diagnosis text according to the at least one diagnosis score, and generating at least one piece of visual diagnosis information according to the at least one diagnosis score and the at least one diagnosis text.

In an optional embodiment, the planning data includes planning cost data of the target information and a target release duration; the monitoring data comprises predicted putting duration and/or actual putting duration of the target information and cost consumption data of the target information; determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting target information by adopting the plan data comprises the following steps: and determining a first diagnosis score according to the planned cost data, the target release duration, the predicted release duration and/or the actual release duration of the target information and the cost consumption data of the target information.

In an alternative embodiment, the determining a first diagnostic score according to the planned cost data, the target delivery duration, and the predicted delivery duration and/or actual delivery duration of the target information, the cost consumption data of the target information includes: determining the delivery duration rate and the budget utilization rate of the target information; the delivery duration rate is the ratio of the predicted delivery duration to the target delivery duration and/or the ratio of the actual delivery duration to the target delivery duration of the target information, and the budget utilization rate is the ratio of the cost consumption data of the target information to the plan cost data; and acquiring a corresponding first diagnosis score according to the interval distribution of the release duration rate and the budget utilization rate of the target information.

In an alternative embodiment, the planning data includes bidding data for the targeted information, and the monitoring data includes bidding data for homogeneous information for the targeted information; determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting target information by adopting the plan data comprises the following steps: and determining a second diagnosis score according to the bidding data of the target information and the bidding data of the similar information of the target information.

In an optional embodiment, the plan data includes plan delivery group data of the target information, and the monitoring data includes directional delivery group data of homogeneous information of the target information; determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting target information by adopting the plan data comprises the following steps: and determining a third diagnosis score according to the planned delivery group data of the target information and the directional delivery group data of the same kind of information of the target information.

In an optional embodiment, the method further comprises: and calling a launching engine to launch the target information to the directional launching group.

In an optional embodiment, the method further comprises: and in the process of releasing the target information, calling a report engine to obtain the behavior data of the directional releasing group, and obtaining the monitoring data by counting the behavior data of the directional releasing group.

In an optional embodiment, the monitoring data includes a diversion rate of the target information, a diversion rate of homogeneous information of the target information; determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting target information by adopting the plan data comprises the following steps: and determining a fourth diagnosis score according to the diversion rate of the target information and the diversion rate of the same kind of information of the target information.

In an optional implementation manner, the determining, according to the plan data and the monitoring data in the process of delivering the target information by using the plan data, evaluation data of the target information delivery service further includes: when at least two diagnostic scores are determined from the planning data and the monitoring data, a composite diagnostic score is generated from the at least two diagnostic scores.

In an alternative embodiment, the generating of the visual diagnostic information from the assessment data includes: and determining a corresponding comprehensive diagnosis text according to the comprehensive diagnosis score, and generating at least one piece of visual diagnosis information according to the comprehensive diagnosis score and the comprehensive diagnosis text.

In an alternative embodiment, the generating of the visual diagnostic information from the assessment data includes: and generating the visual diagnosis information through the evaluation data at least one preset time node in the process of putting the target information.

According to a third aspect of an embodiment of the present invention, there is provided an information delivery processing apparatus including: the system comprises a plan data submitting module, a target information delivery service processing module and a target information delivery module, wherein the plan data submitting module is used for submitting plan data of a target information delivery service to a service party so that the service party adopts the plan data to deliver target information; the diagnostic information acquisition module is used for acquiring the visual diagnostic information of the target information delivery service; the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the target information delivering process; and the diagnosis information presentation module is used for responding to the interface of the target information to trigger a diagnosis entrance and presenting the visual diagnosis information.

In an alternative embodiment, the diagnostic information acquisition module includes: the monitoring data receiving unit is used for receiving the monitoring data returned by the server; an evaluation data determining unit, configured to determine evaluation data of the target information delivery service according to the plan data and the monitoring data; a diagnostic information generating unit for generating the visual diagnostic information from the evaluation data.

In an optional embodiment, the evaluation data determining unit is configured to: determining at least one diagnostic score based on the planning data and the monitoring data, wherein each diagnostic score represents a diagnostic score of an aspect of the targeted information placement service.

In an optional embodiment, the diagnostic information generating unit is configured to: and determining at least one corresponding diagnosis text according to the at least one diagnosis score, and generating at least one piece of visual diagnosis information according to the at least one diagnosis score and the at least one diagnosis text.

In an optional embodiment, the planning data includes planning cost data of the target information and a target release duration; the monitoring data comprises the predicted putting duration and/or the actual putting duration of the target information and the cost consumption data of the target information; the evaluation data determination unit includes: and the first diagnosis unit is used for determining a first diagnosis score according to the planned cost data, the target release time length, the predicted release time length and/or the actual release time length of the target information and the cost consumption data of the target information.

In an alternative embodiment, the first diagnostic unit is configured to: determining the delivery duration rate and the budget utilization rate of the target information; the delivery duration rate is the ratio of the predicted delivery duration to the target delivery duration and/or the ratio of the actual delivery duration to the target delivery duration of the target information, and the budget utilization rate is the ratio of the cost consumption data of the target information to the plan cost data; and acquiring a corresponding first diagnosis score according to the interval distribution of the release duration rate and the budget utilization rate of the target information.

In an alternative embodiment, the planning data includes bidding data for the targeted information, and the monitoring data includes bidding data for homogeneous information for the targeted information; the evaluation data determination unit includes: and the second diagnosis unit is used for determining a second diagnosis score according to the bidding data of the target information and the bidding data of the same kind of information of the target information.

In an alternative embodiment, the second diagnostic unit is configured to: obtaining bidding data of the same kind of information of the target information and calculating the distribution of the bidding data; and acquiring a corresponding second diagnosis score according to the interval distribution of the bidding data of the target information in the bidding data of the same kind of information of the target information.

In an optional embodiment, the plan data includes plan delivery group data of the target information, and the monitoring data includes directional delivery group data of homogeneous information of the target information; the evaluation data determination unit includes: and the third diagnosis unit is used for determining a third diagnosis score according to the planned delivery group data of the target information and the directional delivery group data of the same kind of information of the target information.

In an alternative embodiment, the third diagnostic unit is configured to: matching the planned delivery group data of the target information with the attribute data of a consumer to determine a targeted delivery group of the target information in the consumer; determining the directional coverage of the target information according to the directional release population of the target information; acquiring directional delivery group data of the same kind of information of the target information and matching the directional delivery group data with attribute data of a consumer so as to determine a directional delivery group of the same kind of information of the target information in the consumer; determining the directional coverage of the same kind of information of the target information according to the directional release group of the same kind of information of the target information; and acquiring a corresponding third diagnosis score according to the interval distribution of the directional coverage of the target information in the directional coverage of the same kind of information of the target information.

In an optional embodiment, the monitoring data includes a diversion rate of the target information, a diversion rate of homogeneous information of the target information; the evaluation data determination unit includes: and the fourth diagnosis unit is used for determining a fourth diagnosis score according to the diversion rate of the target information and the diversion rate of the same kind of information of the target information.

In an optional embodiment, the fourth diagnostic unit is configured to: acquiring the flow guide rate of the target information; acquiring the flow conductivity of the same kind of information of the target information; and acquiring a corresponding fourth diagnosis score according to the interval distribution of the diversion rate of the target information in the diversion rate of the same kind of information of the target information.

In an optional embodiment, the evaluation data determining unit is configured to: when at least two diagnostic scores are determined from the planning data and the monitoring data, a composite diagnostic score is generated from the at least two diagnostic scores.

In an optional embodiment, the diagnostic information generating unit is configured to: and determining a corresponding comprehensive diagnosis text according to the comprehensive diagnosis score, and generating at least one piece of visual diagnosis information according to the comprehensive diagnosis score and the comprehensive diagnosis text.

In an optional embodiment, the diagnostic information generating unit is configured to: and generating the visual diagnosis information through the evaluation data at least one preset time node in the process of putting the target information.

In an alternative embodiment, the diagnostic information acquisition module is configured to: and receiving visual diagnosis information of the target information delivery service returned by the server, wherein the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the target information delivery process by the server.

In an optional implementation manner, the plan data submitting module is further configured to submit new plan data of the target information delivery service input in the plan modification bar to the service provider when the new plan data of the target information delivery service is acquired; the evaluation data determining unit is further configured to receive updated visual diagnosis information corresponding to the new planning data returned by the service provider; the diagnostic information presentation module is further configured to display the updated visual diagnostic information in the diagnostic interface.

In an alternative embodiment, the diagnostic interface further comprises a desired data field; the plan data submitting module is further configured to submit expected data of the target information delivery service input in the expected numerical value column to the service provider when the expected data of the target information delivery service is acquired; the diagnosis information presentation module is further configured to receive the suggested plan data corresponding to the expected data returned by the service provider, and display the suggested plan data in the diagnosis interface.

According to a fourth aspect of an embodiment of the present invention, there is provided an information delivery processing apparatus including: the plan data acquisition module is used for acquiring plan data of a target information delivery service submitted by a requester; the evaluation data determining module is used for determining the evaluation data of the target information delivery service according to the plan data and the monitoring data in the target information delivery process by adopting the plan data; the diagnostic information generation module is used for generating visual diagnostic information through the evaluation data; and the diagnosis information returning module is used for returning the visual diagnosis information to the requester so that the requester can display the visual diagnosis information by triggering a diagnosis entry on the interface of the target information.

In an alternative embodiment, the evaluation data determination module is configured to: and determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting the target information by adopting the plan data, wherein each diagnosis score represents the diagnosis score of the target information putting service in one aspect.

In an optional embodiment, the diagnostic information generation module is configured to: and determining at least one corresponding diagnosis text according to the at least one diagnosis score, and generating at least one piece of visual diagnosis information according to the at least one diagnosis score and the at least one diagnosis text.

In an optional embodiment, the planning data includes planning cost data of the target information and a target release duration; the monitoring data comprises predicted putting duration and/or actual putting duration of the target information and cost consumption data of the target information; the evaluation data determination module includes: and the first diagnosis unit is used for determining a first diagnosis score according to the planned cost data, the target release time length, the predicted release time length and/or the actual release time length of the target information and the cost consumption data of the target information.

In an alternative embodiment, the planning data includes bidding data for the targeted information, and the monitoring data includes bidding data for homogeneous information for the targeted information; the evaluation data determination module includes: and the second diagnosis unit is used for determining a second diagnosis score according to the bidding data of the target information and the bidding data of the same kind of information of the target information.

In an optional embodiment, the plan data includes plan delivery group data of the target information, and the monitoring data includes directional delivery group data of homogeneous information of the target information; the evaluation data determination module includes: and the third diagnosis unit is used for determining a third diagnosis score according to the planned delivery group data of the target information and the directional delivery group data of the same kind of information of the target information.

In an alternative embodiment, the apparatus further comprises: and the target information releasing module is used for calling a releasing engine to release the target information to the directional releasing group.

In an alternative embodiment, the apparatus further comprises: and the target information monitoring module is used for calling a report engine to obtain the behavior data of the directional delivery group in the process of delivering the target information, and obtaining the monitoring data by counting the behavior data of the directional delivery group.

In an optional embodiment, the monitoring data includes a diversion rate of the target information, a diversion rate of homogeneous information of the target information; the evaluation data determination module includes: and the fourth diagnosis unit is used for determining a fourth diagnosis score according to the diversion rate of the target information and the diversion rate of the same kind of information of the target information.

In an alternative embodiment, the evaluation data determination module is configured to: when at least two diagnostic scores are determined from the planning data and the monitoring data, a composite diagnostic score is generated from the at least two diagnostic scores.

In an optional embodiment, the diagnostic information generation module is configured to: and determining a corresponding comprehensive diagnosis text according to the comprehensive diagnosis score, and generating at least one piece of visual diagnosis information according to the comprehensive diagnosis score and the comprehensive diagnosis text.

In an optional embodiment, the diagnostic information generation module is configured to: and generating the visual diagnosis information through the evaluation data at least one preset time node in the process of putting the target information.

According to a fifth aspect of the embodiments of the present invention, there is provided a computer-readable storage medium, on which a computer program is stored, the computer program, when executed by a processor, implementing any one of the information delivery processing methods described above.

According to a sixth aspect of the embodiments of the present invention, there is provided an electronic apparatus comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any one of the information delivery processing methods described above via execution of the executable instructions.

According to the information delivery processing method, the information delivery processing device, the computer-readable storage medium and the electronic equipment, a request party submits plan data of a target information delivery service to a service party, the service party delivers target information by adopting the plan data, and the request party acquires visual diagnosis information and presents the visual diagnosis information when a user triggers a diagnosis entrance. On one hand, the corresponding visual diagnosis information is obtained by processing the plan data and the monitoring data, the diagnosis and feedback result of the target information delivery service is visually displayed, and the accurate and timely adjustment of the delivery plan by a requester is facilitated. On the other hand, the scheme realizes that the requester can check the visual diagnosis information by one key, is very convenient, does not need to check the page in real time to monitor the feedback data, and saves the labor cost.

Drawings

The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:

FIG. 1 shows a schematic diagram of a system architecture according to an embodiment of the invention;

fig. 2 is a flowchart illustrating an information delivery processing method according to an embodiment of the present invention;

FIG. 3 illustrates a flow diagram for obtaining visual diagnostic information according to an embodiment of the present invention;

FIG. 4 shows a schematic diagram of a diagnostic interface according to an embodiment of the invention;

FIG. 5 illustrates a process flow diagram for modifying planning data according to an embodiment of the present invention;

FIG. 6 illustrates a process flow diagram of expectation data according to an embodiment of the invention;

fig. 7 is a flowchart illustrating another information delivery processing method according to an embodiment of the present invention;

FIG. 8 shows a schematic diagram of another system architecture according to an embodiment of the invention;

fig. 9 is a block diagram showing an information delivery processing apparatus according to an embodiment of the present invention;

fig. 10 is a block diagram showing another information delivery processing apparatus according to an embodiment of the present invention; and

fig. 11 shows a block diagram of the structure of an electronic device according to an embodiment of the present invention.

In the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

Detailed Description

The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Thus, the present invention may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.

According to an embodiment of the present invention, an information delivery processing method, an information delivery processing apparatus, a computer-readable storage medium, and an electronic device are provided.

In this document, any number of elements in the drawings is by way of example and not by way of limitation, and any nomenclature is used solely for differentiation and not by way of limitation.

The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.

Summary of The Invention

The inventor finds that most of feedback data in the prior art is data acquired at certain nodes in the information delivery process (for example, feedback data is acquired by generally adopting a point burying mode), is not visual enough, is not beneficial to making accurate and timely adjustment on a delivery plan, and requires higher labor cost for a requester to arrange a mode that personnel check a page in real time.

In view of the above, the basic idea of the present invention is: the information delivery processing method, the information delivery processing device, the computer readable storage medium and the electronic equipment are provided, a request party submits plan data of a target information delivery service to a service party, the service party delivers target information by adopting the plan data, and the request party acquires visual diagnosis information and presents the visual diagnosis information when a user triggers a diagnosis entrance. On one hand, the corresponding visual diagnosis information is obtained by processing the plan data and the monitoring data, the diagnosis and feedback result of the target information delivery service is visually displayed, and the accurate and timely adjustment of the delivery plan by a requester is facilitated. On the other hand, the scheme realizes that the requester can check the visual diagnosis information by one key, is very convenient, does not need to check the page in real time to monitor the feedback data, and saves the labor cost.

Having described the general principles of the invention, various non-limiting embodiments of the invention are described in detail below.

Application scene overview

It should be noted that the following application scenarios are merely illustrated to facilitate understanding of the spirit and principles of the present invention, and the embodiments of the present invention are not limited in this respect. Rather, embodiments of the present invention may be applied to any scenario where applicable.

After the merchant of the E-commerce platform puts commodity advertisements, the diagnosis information of advertisement putting is provided through the implementation mode of the invention, so that the merchant can visually know the putting effect, and the putting plan is improved conveniently. After articles are released from a media in a news platform or a social platform, the diagnostic information released by the articles is displayed through the embodiment of the invention, so that guidance is provided for the article releasing service.

Exemplary method

An exemplary embodiment of the present invention first provides an information delivery processing method. Fig. 1 shows an exemplary system architecture of the environment in which the method operates, and as shown in fig. 1, the system architecture 100 may include a requestor 110, a server 120, and a consumer 130. The requesting party 110 is a party that makes an information delivery request, such as a seller of an e-commerce platform, an advertiser, news, or a self-media of a social platform, and may specifically refer to a client of the requesting party 110, such as a platform App installed on a smart phone or a personal computer, that provides delivered information. The service party 120 is a party providing information delivery service, such as e-commerce, a background server of news or social platforms, an information delivery system, and the like. The consumer 130 is a party receiving the delivered information, such as a general user of an e-commerce, news, or social platform, and may specifically refer to a client of the consumer 130.

The following describes an information delivery processing method with a requester and a server as execution targets.

Fig. 2 shows an exemplary flow of an information delivery processing method performed by a requester, including the following steps S210 to S230:

step S210, submitting the plan data of the target information delivery service to the service party, and enabling the service party to deliver the target information by adopting the plan data.

Wherein, the target information is the information to be released. When a requester makes a delivery request of target information, it is generally necessary to set plan data of a target information delivery service, such as plan cost data (how much cost is provided for information delivery in total), bid data (price given for unit number of deliveries), and plan delivery group data (to which groups delivery is made). The plan data is equivalent to conditions and limits set for the target information delivery service, and can be sent to the service party together with the delivery request, and the service party delivers the target information by using the plan data after receiving the delivery request.

Step S220, acquiring visual diagnosis information of a target information delivery service; the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the process of delivering the target information.

The monitoring data includes various feedback index data in the target information release process, for example, the release duration, the cost consumption data, the conductance rate, and the like. The planning data and the monitoring data are used for reflecting two aspects of the target information delivery service, and the target information delivery service can be diagnosed through the data of the two aspects to obtain visual diagnosis information, including but not limited to visual information in the forms of scores, charts, diagnosis texts and the like.

Step S230, in response to triggering a diagnosis entry on the interface of the target information, presenting the above-mentioned visual diagnosis information.

The interface of the target information may include an editing interface, a detailed interface, an interface for submitting a delivery request, etc. of the target information, wherein related options of diagnosis are set, and when a user selects the options, a diagnosis entry may be triggered, that is, the diagnosis interface using the visual diagnosis information as main content is entered, or the visual diagnosis information is displayed in a form of a pop-up window, etc. Therefore, the requester can conveniently and intuitively acquire the diagnosis information of the target information delivery service, so that the service can be timely adjusted when the delivery effect is not good. And the information is checked in a mode of triggering the diagnosis entrance by one key, so that special personnel do not need to monitor feedback data in real time, and the labor cost is saved.

How to obtain the visual diagnostic information is further described below.

In an alternative embodiment, referring to fig. 3, step S220 may specifically include the following steps S310 to S330:

step S310, receiving monitoring data returned by a server;

step S320, determining evaluation data of the target information delivery service according to the plan data and the monitoring data;

and step S330, generating visual diagnosis information through the evaluation data.

In the target information releasing process, the releasing condition can be monitored by the service party and the monitoring data related to the request party is returned. The requester integrates two aspects of information of plan data and monitoring data, determines evaluation data of the target information delivery service, and is generally used for comprehensively evaluating the target information delivery service and performing certain visualization processing on the evaluation data to generate visualized diagnosis information.

In an alternative embodiment, step S320 may include:

at least one diagnostic score is determined based on the planning data and the monitoring data.

That is, the assessment data may include one or more diagnostic scores, wherein each diagnostic score represents a diagnostic score of the targeted information placement service for an aspect from which assessment of the placed service is made. For example, a certain number of evaluation dimensions are set according to an actual scene, each dimension represents an evaluation aspect, and specific planning data and monitoring data are selected under each dimension and are processed by an algorithm to obtain a corresponding diagnosis score.

Further, step S330 may include:

and determining at least one corresponding diagnosis text according to the at least one diagnosis score, and generating at least one piece of visual diagnosis information according to the at least one diagnosis score and the at least one diagnosis text.

The diagnostic text may be used to specify the diagnostic score, for example, the diagnostic score may be divided into different sections, and each section is provided with the corresponding diagnostic text. The diagnosis score and the diagnosis text form main information in the visual diagnosis information, and the putting effect corresponding to each interval level can be more clearly and specifically explained through the combination of the diagnosis score and the diagnosis text.

The following describes the procedure of generating the visual diagnostic information in detail through the diagnostic information processing procedure in four aspects.

First aspect

The planning data may include planning cost data of the target information and a target release duration. The planning cost data refers to the total cost (or total budget) planned to be invested by the requester for putting the target information; the target delivery duration refers to the total duration that the requester expects the delivery of the target information to be maintained, and generally, the longer the delivery duration, the easier it is to achieve a good delivery effect. The monitoring data can comprise predicted putting duration and/or actual putting duration of the target information and cost consumption data of the target information. The difference is that the predicted release duration is the predicted total duration before release is finished, the actual release duration is the determined total duration after release is finished (i.e., the planned cost data is consumed), and the predicted release duration is equal to the actual release duration under the condition that the cost is linearly consumed along with time. The actual situation of cost consumption is usually different from the expectation, so that the predicted release time length or the actual release time length is usually different from the target release time length. Cost expenditure data refers to the cost situation that has been currently expended, and may be measured, for example, by a cost expenditure amount. In this exemplary embodiment, the predicted delivery duration may be estimated according to the planned cost data, the historical delivery rate, and the cost consumption data, for example, according to the formula: predicted release duration ═ duration of released + (projected cost data-cost consumption data)/historical release rate. The historical release rate refers to the cost required by unit release time in the historical release process; the difference between the projected cost data and the cost consumption data is the remaining cost. For example, the total budget of the advertiser plan is 1000 yuan, 200 yuan has been consumed, 20 minutes has been delivered, and the historical delivery rate is 20 yuan/minute, then the predicted delivery duration is 20+ (1000-.

It should be understood that in practical application, when calculating and predicting the delivery time, the influence of factors such as bidding, competition in the same industry, flow, different delivery time periods and the like can be considered in combination with practical situations. For example, considering the influence of different release periods, the method may be divided into a plurality of periods, where the historical release rates of each period are different (for example, the historical release rate of the golden period is the highest), the predicted release duration of each period is calculated, and the predicted release durations are accumulated to obtain the total predicted release duration.

In an alternative embodiment, the first diagnostic score may be determined based on planned cost data, a target delivery duration, and predicted delivery duration and/or actual delivery duration of the target information, cost consumption data of the target information. The first diagnostic score is a diagnosis made in terms of cost sufficiency, and generally, the more sufficient the cost, the more favorable the longer the release duration is maintained, the higher the first diagnostic score. The specific content and algorithm of the first diagnostic score are not limited in the present disclosure, and any one or more index data may be selected from the planned cost data, the target release duration, the predicted release duration, the actual release duration, and the cost consumption data to perform quantitative calculation, for example, the planned cost per unit time may be calculated by using the ratio of the planned cost data to the target release duration as the first diagnostic score.

Further, the release duration rate and the budget utilization rate of the target information can be determined; the delivery duration rate is the ratio of the predicted delivery duration to the target delivery duration and/or the ratio of the actual delivery duration to the target delivery duration of the target information, and the budget utilization rate is the ratio of the cost consumption data to the plan cost data of the target information; and acquiring a corresponding first diagnosis score according to the distribution of the release duration rate and the budget utilization rate of the target information. Table 1 shows an exemplary manner of dividing intervals between the delivery duration rate and the budget usage rate, each interval having a corresponding first diagnostic score and a first diagnostic text, where the first diagnostic score and the first diagnostic text may be in a one-to-one or one-to-many relationship. After the delivery duration rate and the budget utilization rate are calculated, the first diagnosis score and the first diagnosis text are determined through the relationship shown in table 1 to form part of content in the visual diagnosis information, so that guidance can be provided for the cost plan of the requester.

TABLE 1

Second aspect of the invention

The plan data may include bid data for the targeted information. The bid data refers to the price of the requester for a unit number of impressions, for example, CPM (Cost Per Mile, thousands of impressions Cost) in advertisement impressions is used as an index of the bid data, and can indicate the competitiveness of the target information in the impressions. The monitoring data may include bidding data for the same kind of information as the target information. The same kind of information of the target information refers to information having a direct competitive relationship with the target information, for example, the target information and the same kind of information are advertisements of the same industry and the same type of goods, or self-media articles of the same type and the same key content, or are oriented to the same consumer group, and the like. Generally, the bidding data can be set when a delivery plan is specified, and the server can monitor the bidding data of the same kind of information during the delivery of the target information.

In an alternative embodiment, the second diagnostic score may be determined based on bid data for the targeted information, bid data for homogeneous information for the targeted information. The second diagnostic score is a diagnosis performed in terms of bid competitiveness, and generally, the higher the bid is, the better the preferential delivery is obtained in the same kind of information or the better the delivery is, and the higher the second diagnostic score is. The specific content and algorithm of the second diagnostic score are not limited in the present disclosure, and for example, normalized calculation may be performed on bidding data of the target information and similar information thereof, and the normalized bidding data is used as the second diagnostic score.

Further, the bidding data of the same kind of information of the target information can be obtained and the distribution of the bidding data can be calculated, for example, the bidding data of the target information and the same kind of information can be arranged from high to low to obtain the distribution of the bidding data; and acquiring a corresponding second diagnosis score according to the interval distribution of the bidding data of the target information in the bidding data of the same kind of information of the target information. If the target information is game advertisement and the bid price is e₁Counting bids of other advertisement plans in the game industry and calculating the overall bid data distribution e of the game industry₁、e₂、…、e_nDetermining e₁In which interval; or determining the targeted group of the target information as male, 18-35 years old, hobby sports and bidding as f₁The bids of the ad plans targeted to these same groups are counted and the overall bid data distribution f is calculated₁、f₂、…、f_nDetermining f₁In which interval; according to e₁And f₁The interval distribution may be a comprehensive bidding data interval distribution in which the maximum value, the minimum value, or the average value is used as the target information. Table 2 shows an exemplary manner of partitioning bid data into sections (bids are the same as bids in Table 2)Meaning), each interval has a corresponding second diagnosis score and second diagnosis text, and the second diagnosis score and the second diagnosis text can be in one-to-one or one-to-many relationship. After the interval distribution of the bidding data is calculated, the second diagnosis score and the second diagnosis text are determined through the relationship shown in table 2 to form part of the content in the visual diagnosis information, so that guidance can be provided for the bidding plan of the requester.

TABLE 2

Third aspect of the invention

The planning data may include planned delivery group data of the target information. For example, when determining a target information delivery plan, a requester usually sets conditions of a delivery group, such as male, 18-35 years old, hobby sports, that is, data of the planned delivery group. The monitoring data may include targeted delivery group data of the same kind of information of the target information, that is, which group or groups the same kind of information is delivered to is monitored.

In an alternative embodiment, the third diagnostic score may be determined based on planned delivery population data for the target information, targeted delivery population data for the homogeneous information for the target information. The third diagnosis score is a diagnosis performed from the aspect of directional coverage, and generally, the larger the population covered by the target information is, the higher the competitiveness of the target information compared with the similar information is, the better the delivery effect is, and the higher the third diagnosis score is. The specific content and algorithm of the third diagnostic score are not limited in the present disclosure, for example, the normalized number of users in the target information and the similar information of the target information in the delivery group may be calculated, and the normalized number of users in the delivery group is used as the third diagnostic score.

Further, the third diagnostic score may be determined by:

matching the planned delivery group data of the target information with the attribute data of the consumers to determine the directional delivery group of the target information in the consumers;

determining the directional coverage of the target information according to the directional release population of the target information;

acquiring directional delivery group data of the same kind of information of the target information and matching the directional delivery group data with attribute data of a consumer so as to determine a directional delivery group of the same kind of information of the target information in the consumer;

determining the directional coverage of the same kind of information of the target information according to the directional releasing group of the same kind of information of the target information;

and acquiring a corresponding third diagnosis score according to the interval distribution of the directional coverage of the target information in the directional coverage of the same kind of information of the target information.

The attribute data of the consumers can be obtained from a server or other databases, the data of the planned delivery group and the attribute data of the consumers are matched, and the group meeting the delivery plan condition can be selected from the consumers to determine the targeted delivery group of the target information.

The directional coverage is used for carrying out comprehensive measurement on the quantity and quality of the groups directionally covered by information delivery, the quantity of consumers (such as the number of users) in the directionally delivered groups can be used as the directional coverage, the weight accumulation calculation (generally, the more active consumers have higher weights) can be carried out on the consumers in the directionally delivered groups to be used as the directional coverage, the proportion of the quantity of the consumers in the directionally delivered groups in the same type of groups can be used as the directional coverage, and the like.

After the directional coverage of the target information and the similar information thereof is determined, the overall directional coverage can be sequenced, and the interval distribution of the directional coverage of the target information in the directional coverage is determined. Table 3 shows an exemplary manner of partitioning the directional coverage, each partition having a corresponding third diagnostic score and third diagnostic text, which may be in a one-to-one or one-to-many relationship. After the interval distribution of the directional coverage is calculated, the third diagnosis score and the third diagnosis text are determined through the relation shown in table 3 to form part of content in the visual diagnosis information, so that guidance can be provided for the delivery group plan of the requesting party.

TABLE 3

Fourth aspect of the invention

The monitoring data may include a flow rate of the target information, a flow rate of the same kind of information as the target information. The diversion rate refers to the behavior proportion of clicking information of a consumer to jump to a corresponding page after the information is released, for example, target information is released to 1000 users, wherein 220 users click the target information to jump to a detail page, and the diversion rate of the target information is 220/1000-22%.

In an alternative embodiment, the fourth diagnostic score may be determined based on the diversion rate of the target information, the diversion rate of the same type of information as the target information. The fourth diagnosis score is a diagnosis performed from the aspect of actual diversion, although the diversion rate cannot directly represent the benefit of information delivery, the diversion rate has a strong positive correlation with the benefit of information delivery, the diversion rate can reflect the attraction of target information to a delivery group, the higher the diversion rate is, the better the delivery effect is generally, and the higher the fourth diagnosis score is. The specific content and algorithm of the fourth diagnostic score are not limited in the present disclosure, for example, the diversion rate of the target information and the similar information thereof may be normalized, and the normalized diversion rate is used as the fourth diagnostic score.

Further, the fourth diagnostic score may be determined by:

acquiring the flow guide rate of target information;

acquiring the flow conductivity of the same kind of information of the target information;

and acquiring a corresponding fourth diagnosis score according to the interval distribution of the flow conductivity of the target information in the flow conductivity of the same kind of information of the target information.

The target information and the flow conductivity of the same kind of information can be obtained from the monitoring data of the server, or the requester monitors the flow conductivity of the target information and obtains the flow conductivity of the same kind of information from the server. For example, the target information is obtained at a flow rate q₁(ii) a Recording the industry mark of the target information, counting the conductivity of the same kind of information in the same industry to obtain the integral conductivity distribution q₁、q₂、…、q_n(ii) a According to q₁And determining a corresponding fourth diagnosis score according to the interval distribution. Table 4 shows an exemplary manner of dividing the diversion rate into sections, each section having a corresponding fourth diagnostic score and fourth diagnostic text, which may be in a one-to-one or one-to-many relationship. After the interval distribution of the conductance rate is calculated, the fourth diagnostic score and the fourth diagnostic text are determined through the relationship shown in table 4 to form part of the content in the visual diagnostic information, so that guidance can be provided for the target information content of the requester.

TABLE 4

How to process the diagnostic information to generate visualized diagnostic information is described above in four aspects, respectively. In practical applications, any one or more aspects can be selected as required for diagnosis, or diagnosis can be performed by using the aspects not mentioned above. In an alternative embodiment, when at least two diagnostic scores are determined from the planning data and the monitoring data, a composite diagnostic score may be generated from the at least two diagnostic scores. For example, the target information delivery plan is diagnosed from four points to obtain first to fourth diagnosis scores through the information in tables 1 to 4, and then the four diagnosis scores are weighted to obtain a comprehensive diagnosis score so as to reflect the comprehensive condition of the target information delivery plan and facilitate the comprehensive expectation of the delivery effect by the requesting party. Furthermore, the corresponding comprehensive diagnosis text can be determined according to the comprehensive diagnosis score, and at least one piece of information in the visual diagnosis information is generated according to the comprehensive diagnosis score and the comprehensive diagnosis text, so that the diagnosis result is displayed in a more intuitive and comprehensive mode, and more effective service delivery guidance is provided for a requester.

The visual diagnosis information can be generated at any time in the releasing process, generally, the earlier the visual diagnosis information is generated, the more the requester can modify the unreasonable releasing plan at the early stage, and the resource waste is reduced; the later the visual diagnostic information generation time is, the more sufficient the monitoring data is, and the higher the accuracy of the resulting diagnostic information is. In an alternative embodiment, the visualized diagnostic information may be generated by evaluating data at least one preset time node during the delivery of the target information. The preset time node can be one hour, three hours, one day and the like after the start of the release, a fixed time node can be set by the server, and a self-defined time node can also be set by the requester according to the actual requirement. Therefore, the requester only needs to check the visual diagnosis information at the preset time node without monitoring the feedback data in real time, and the labor cost is greatly saved.

In the above process, the requester executes the relevant algorithm logic of the diagnostic information processing to generate the visual diagnostic information. In addition, the service side may diagnose the plan data of the target information delivery service and the monitoring data in the target information delivery process to generate the visual diagnosis information. After the requester sends the planning data of the target information delivery service to the server, the requester can receive and display the visual diagnosis information of the target information delivery service returned by the server after a period of time.

FIG. 4 shows a schematic diagram of a diagnostic interface. Taking the target information as an example of the advertisement, displaying basic information of the advertisement (such as name, number, creation time, delivery time and the like) and plan data of a delivery service (such as current bid, plan budget and the like) in the diagnosis interface; the visual diagnosis information is arranged below the system, wherein the visual diagnosis information mainly comprises four pieces of information which respectively represent diagnosis results of four aspects; the advertisement planning method comprises the steps of carrying out comprehensive diagnosis on an advertisement plan through four aspects of scoring, namely budget sufficiency, namely a first diagnosis score, bidding competitiveness, namely a second diagnosis score, targeted coverage, namely a third diagnosis score and advertising quality measure, namely a fourth diagnosis score. The diagnostic interface may also include a plan modification bar for modifying the plan data for the targeted information delivery service. The option bar providing the budget plan and the bid for modification as shown in fig. 4 can be used for directly inputting new plan data therein and submitting after clicking confirmation.

In an alternative embodiment, as shown with reference to fig. 5, the process flow of modifying the plan data may include the following steps S510 and S520:

step S510, when new plan data of the target information delivery service input in the plan modification bar is acquired, submitting the new plan data to a service party;

and step S520, receiving the updated visual diagnosis information corresponding to the new plan data returned by the server and displaying the visual diagnosis information in the diagnosis interface.

After the requester submits the new plan data to the server, the server puts in target information by using the new plan data, new monitoring data is generated in the putting process, and the server can update the visual diagnosis information according to the new plan data and the new monitoring data and return the visual diagnosis information to the requester for displaying. Therefore, the adjustment and feedback of the released service are very conveniently realized, and the requester can adjust the released service in the current diagnosis interface without returning to the editing interface of the released service; the requester can compare the visualized diagnosis information conveniently, and adjust the plan data corresponding to the aspect with poor diagnosis result in a targeted manner, for example, the diagnosis result with the budget sufficiency is the worst in fig. 4, and the budget plan can be adjusted preferentially, so that the overall improvement effect on the service delivery is most obvious. After the plan data are adjusted, the new visual diagnosis information can be seen without switching to other interfaces after a period of time, so that the effect of adjusting the plan data can be intuitively obtained. Particularly, in practical application, a requester may need to adjust the plan data many times, compare the diagnosis results and then find the optimal plan data.

In an alternative embodiment, the diagnosis interface may further include suggested plan data, for example, the suggested plan data may be displayed beside the plan modification column, and is used to provide suggested information for modification of the plan data, for example, a suggested value interval may be provided for the plan data, which generally corresponds to an average level or an interval above the average level of the same kind of information, so that the user may refer to the suggested plan data when modifying the plan data, thereby avoiding blind modification and easily obtaining a more desirable value.

Further, the diagnostic interface may further include a desired data field for inputting desired data to indicate the requestor's desire for the impression, such as desired browsing data, conversion data, desired ranking compared to the same type of information, and the like. Referring to fig. 6, the process on the desired data may include the following steps S610 and S620:

step S610, when the expected data of the target information delivery service input in the expected value column is obtained, submitting the expected data to a service party;

and step S620, receiving the suggested plan data corresponding to the expected data returned by the service party and displaying the suggested plan data in the diagnosis interface.

For example, when the requester is not satisfied with the diagnosis score in the current visualized diagnosis information, the requester may input the desired diagnosis score in the desired value column, and the service calculates, according to the data and using the monitoring data collected in real time, the corresponding proposed plan data or proposed strategy by using the above-mentioned exemplary calculation methods or algorithms, that is, when the requester puts the target information using the proposed plan data, the diagnosis result represented by the desired data can be generally obtained. Thereby providing a more efficient reference for a requester to set or modify the schedule data.

Fig. 7 shows an exemplary flow of an information delivery processing method performed by a service provider, including the following steps S710 to S740:

step S710, acquiring plan data of target information delivery service submitted by a requester;

step S720, determining evaluation data of a target information delivery service according to the plan data and the monitoring data in the target information delivery process by adopting the plan data;

step S730, generating visualized diagnosis information from the evaluation data;

step S740, returning the visual diagnosis information to the requesting party, so that the requesting party triggers a diagnosis entry on the interface of the target information to present the visual diagnosis information.

Fig. 8 shows an exemplary system architecture of an information delivery processing method execution environment. As shown in fig. 8, in the system architecture 100, the server 120 includes three engines, namely, a placement engine 121, a reporting engine 122, and a diagnosis engine 123. In the information delivery processing method shown in fig. 7, first, the requester 110 submits plan data of a target information delivery service to the server 120; after obtaining the planning data, the server 120 may invoke the delivery engine 121 to deliver the target information to the consumer 130; in the releasing process, the service party 120 may call the report engine 122 to obtain behavior data of the consumer 130 from the consumer, and count the behavior data to obtain monitoring data; subsequently, the service party 130 may invoke the diagnosis engine 123 to process the planning data and the monitoring data, specifically, the above steps S720 and S730 may be executed to generate the visual diagnosis information; finally, the service 120 returns the visual diagnostic information to the requestor 110.

In an alternative embodiment, step S720 may include:

and determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting the target information by adopting the plan data, wherein each diagnosis score respectively represents the diagnosis score of the target information putting service in one aspect. The service may determine corresponding evaluation dimensions according to the type of the target information, each dimension representing an evaluation aspect corresponding to a diagnostic score. For example, when the target information is an advertisement, four evaluation dimensions such as budget sufficiency, bid competitiveness, targeted coverage, and advertisement quality measure in fig. 4 are determined, and when the target information is a self-media article, different evaluation dimensions may be determined.

Further, step S730 may include:

In an alternative embodiment, the planning data may include planned cost data of the goal information and a goal putting duration, and the monitoring data may include a predicted putting duration and/or an actual putting duration of the goal information and cost consumption data of the goal information. Accordingly, the first diagnostic score may be determined based on planned cost data, a target delivery duration, and predicted delivery duration and/or actual delivery duration of the target information, cost consumption data of the target information.

Further, the process of determining the first diagnostic score may include:

determining the delivery duration rate and the budget utilization rate of the target information; the delivery duration rate is the ratio of the predicted delivery duration to the target delivery duration and/or the ratio of the actual delivery duration to the target delivery duration of the target information, and the budget utilization rate is the ratio of the cost consumption data to the plan cost data of the target information;

and acquiring a corresponding first diagnosis score according to the interval distribution of the release duration rate and the budget utilization rate of the target information.

In an alternative embodiment, the planning data may include bidding data for targeted information, and the monitoring data may include bidding data for homogeneous information for targeted information. Accordingly, the second diagnostic score may be determined based on the bid data for the targeted information and the bid data for the same type of information for the targeted information.

Further, the process of determining a second diagnostic score may include:

obtaining bidding data of the same kind of information of the target information and calculating the distribution of the bidding data;

and acquiring a corresponding second diagnosis score according to the interval distribution of the bidding data of the target information in the bidding data of the same kind of information of the target information.

In an alternative embodiment, the planning data may include planned delivery group data of the target information, and the monitoring data may include targeted delivery group data of homogeneous information of the target information. Correspondingly, the third diagnosis score can be determined according to the planned delivery group data of the target information and the directional delivery group data of the same kind of information of the target information.

Further, the process of determining a third diagnostic score may include:

In an alternative embodiment, the service party may invoke the placement engine to place the target information to the targeted placement community of the target information. The delivery engine can perform both matching and delivery tasks. The specific way of executing the matching task is as follows: and acquiring attribute data of the consumers from a database of the consumers, and matching the planned delivery group data of the target information with the attribute data of the consumers to determine the targeted delivery group of the target information. The specific way of executing the releasing task is as follows: determining the releasing modes, such as short messages, App messages, third party App messages and the like, which can be set by a requester, or determined by a server according to habits of consumers or types of target information, and determining different releasing modes for different consumers; and then displaying the target information to the consumer by adopting a corresponding putting mode.

In an optional implementation manner, in the process of delivering the target information, the service party may call a reporting engine to obtain behavior data of the targeted delivery group, and obtain the monitoring data by counting the behavior data of the targeted delivery group. Specifically, the behavior data of the targeted delivery group is firstly stored in a specific user database, the report engine extracts the behavior data of corresponding users from the user database through the user identification of the targeted delivery group, and the generation time of the extracted data is the time period of the delivery process. The report engine may count the extracted behavior data, and may convert the number of times of the behavior granularity statistics, such as the number of times of the behavior of the user, such as clicking, browsing, collecting, etc., on the target information into an index, such as a traffic rate, etc., to obtain the monitoring data.

In an alternative embodiment, the monitoring data may include a flow rate of the target information, and a flow rate of the same kind of information of the target information. Accordingly, the fourth diagnostic score may be determined based on the diversion rate of the target information, the diversion rate of the same type of information of the target information.

Further, the process of determining the fourth diagnostic score may include:

acquiring the flow guide rate of target information;

The flow guide rate of the target information and the similar information thereof can be obtained by monitoring the target information and the similar information thereof by the server in the releasing process. And ranking the diversion rates, and obtaining a corresponding fourth diagnosis score and a corresponding fourth diagnosis text by referring to the information in the table 4 according to the section of the target information in which the diversion rate is located.

The above processing procedure of diagnosis by the service side through four aspects is basically the same as the procedure of diagnosis information processing by the request side, and the contents of the parts of tables 1 to 4 can be specifically referred to. The server side processes the information and generates visual diagnosis information, so that the data interaction amount between the requester and the server side can be reduced, and the efficiency is further improved.

In an alternative embodiment, when at least two diagnostic scores are determined from the planning data and the monitoring data, a composite diagnostic score may be generated from the at least two diagnostic scores. For example, in fig. 4, the four diagnosis scores may be averaged or weighted to obtain a comprehensive diagnosis score, so as to comprehensively diagnose the target information and comprehensively evaluate the delivery effect of the target information.

Furthermore, the corresponding comprehensive diagnosis text can be determined according to the comprehensive diagnosis score, and at least one piece of visual diagnosis information is generated according to the comprehensive diagnosis score and the comprehensive diagnosis text. Thereby displaying the diagnostic information more intuitively.

In an alternative embodiment, step S730 may include:

and generating visual diagnosis information through the evaluation data at least one preset time node in the process of putting the target information. The fixed time node can be set by the server side, and the self-defined time node can also be set by the requester side according to the actual requirement. Therefore, the requester only needs to check the visual diagnosis information at the preset time node without monitoring the feedback data in real time, and the labor cost is greatly saved.

Exemplary devices

Having described the information delivery processing method according to the exemplary embodiment of the present invention, an information delivery processing apparatus according to an exemplary embodiment of the present invention will be described with reference to fig. 9 and 10.

Fig. 9 shows an information delivery processing apparatus 900 configured at a requester, and may include:

a plan data submitting module 910, configured to submit plan data of a target information delivery service to a service provider, so that the service provider delivers target information using the plan data;

a diagnostic information obtaining module 920, configured to obtain visual diagnostic information of the target information delivery service; the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the process of putting target information;

and a diagnostic information presenting module 930 for presenting the visual diagnostic information in response to triggering the diagnostic portal at the interface of the target information.

In an alternative embodiment, the diagnostic information obtaining module 920 includes:

the monitoring data receiving unit is used for receiving the monitoring data returned by the server;

the evaluation data determining unit is used for determining the evaluation data of the target information delivery service according to the plan data and the monitoring data;

and the diagnostic information generating unit is used for generating visual diagnostic information through the evaluation data.

In an optional implementation manner, the evaluation data determining unit is configured to:

at least one diagnostic score is determined from the planning data and the monitoring data, wherein each diagnostic score represents a diagnostic score of an aspect of the targeted information placement service.

In an optional implementation, the diagnostic information generating unit is configured to:

In an optional implementation manner, the planning data includes planning cost data of the target information and a target release duration, and the monitoring data includes a predicted release duration and/or an actual release duration of the target information and cost consumption data of the target information.

The evaluation data determining unit includes:

and the first diagnosis unit is used for determining a first diagnosis score according to the planned cost data, the target release time length, the predicted release time length and/or the actual release time length of the target information and the cost consumption data of the target information.

In an optional embodiment, the first diagnosis unit is configured to:

determining the delivery duration rate and the budget utilization rate of the target information; the release duration rate is the ratio of the predicted release duration to the target release duration and/or the ratio of the actual release duration to the target release duration of the target information, the budget utilization rate is the ratio of the cost consumption data to the planned cost data of the target information, and the corresponding first diagnosis score is obtained according to the interval distribution of the release duration rate and the budget utilization rate of the target information.

In an alternative embodiment, the planning data includes bidding data for the target information, and the monitoring data includes bidding data for homogeneous information for the target information.

The evaluation data determining unit includes:

and the second diagnosis unit is used for determining a second diagnosis score according to the bidding data of the target information and the bidding data of the same kind of information of the target information.

In an optional embodiment, the second diagnosis unit is configured to:

obtaining bidding data of the same kind of information of the target information and calculating the distribution of the bidding data; and acquiring a corresponding second diagnosis score according to the interval distribution of the bidding data of the target information in the bidding data of the same kind of information of the target information.

In an optional implementation manner, the planning data includes planning delivery group data of the target information, and the monitoring data includes directional delivery group data of the same kind of information of the target information.

The evaluation data determining unit includes:

and the third diagnosis unit is used for determining a third diagnosis score according to the planned delivery group data of the target information and the directional delivery group data of the same kind of information of the target information.

In an optional implementation, the third diagnostic unit is configured to:

In an optional embodiment, the monitoring data includes a traffic flow rate of the target information and a traffic flow rate of the same kind of information of the target information.

The evaluation data determining unit includes:

and the fourth diagnosis unit is used for determining a fourth diagnosis score according to the diversion rate of the target information and the diversion rate of the same kind of information of the target information.

In an optional embodiment, the fourth diagnosis unit is configured to:

acquiring the flow guide rate of target information;

when at least two diagnostic scores are determined from the planning data and the monitoring data, a composite diagnostic score is generated from the at least two diagnostic scores.

and determining a corresponding comprehensive diagnosis text according to the comprehensive diagnosis score, and generating at least one piece of visual diagnosis information according to the comprehensive diagnosis score and the comprehensive diagnosis text.

and generating visual diagnosis information through the evaluation data at least one preset time node in the process of putting the target information.

In an alternative embodiment, the diagnostic information acquisition module 920 is configured to:

and receiving visual diagnosis information of the target information delivery service returned by the server, wherein the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the target information delivery process by the server.

In an alternative embodiment, the visual diagnostic information is displayed on a diagnostic interface of the target information; the diagnosis interface also comprises a plan modification column used for modifying the plan data of the target information delivery service.

In an optional implementation manner, the plan data submitting module 910 is further configured to, when new plan data of the target information delivery service input in the plan modification bar is acquired, submit the new plan data to the service provider;

the evaluation data determining unit is also used for receiving updated visual diagnosis information corresponding to the new plan data returned by the service party;

a diagnostic information presentation module 930, further configured to display the updated visual diagnostic information in the diagnostic interface;

in an alternative embodiment, the diagnostic interface further includes suggested planning data for providing suggested information for modification of the planning data.

In an alternative embodiment, the diagnostic interface further includes a desired data field.

The planning data submitting module 910 is further configured to submit the expected data to the service provider when the expected data of the target information delivery service input in the expected value column is acquired;

the diagnosis information presenting module 930 is further configured to receive suggested plan data corresponding to the expected data returned by the service provider, and display the suggested plan data in the diagnosis interface.

Fig. 10 shows an information delivery processing apparatus 1000 configured on a service side, and may include:

a plan data obtaining module 1010, configured to obtain plan data of a target information delivery service submitted by a requester;

an evaluation data determining module 1020, configured to determine evaluation data of a target information delivery service according to the plan data and monitoring data in a process of delivering target information using the plan data;

a diagnostic information generation module 1030 configured to generate visual diagnostic information from the evaluation data;

the diagnostic information returning module 1040 is configured to return the visual diagnostic information to the requesting party, so that the requesting party triggers a diagnostic entry on the interface of the target information to present the visual diagnostic information.

In an alternative embodiment, the evaluation data determination module 1020 is configured to:

and determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting the target information by adopting the plan data, wherein each diagnosis score respectively represents the diagnosis score of the target information putting service in one aspect.

In an alternative embodiment, the diagnostic information generation module 1030 is configured to:

An assessment data determination module 1020, comprising:

In an optional implementation, the first diagnostic unit is configured to:

An assessment data determination module 1020, comprising:

In an optional embodiment, the second diagnosis unit is configured to:

An assessment data determination module 1020, comprising:

In an optional implementation, the third diagnostic unit is configured to:

matching the planned delivery group data of the target information with the attribute data of the consumers to determine the directional delivery group of the target information in the consumers; determining the directional coverage of the target information according to the directional release population of the target information; acquiring directional delivery group data of the same kind of information of the target information and matching the directional delivery group data with attribute data of a consumer so as to determine a directional delivery group of the same kind of information of the target information in the consumer; determining the directional coverage of the same kind of information of the target information according to the directional releasing group of the same kind of information of the target information; and acquiring a corresponding third diagnosis score according to the interval distribution of the directional coverage of the target information in the directional coverage of the same kind of information of the target information.

In an optional implementation, the information delivery processing apparatus 1000 further includes:

and the target information releasing module is used for calling a releasing engine to release the target information to a releasing group.

and the target information monitoring module is used for calling a report engine to obtain the behavior data of the directional delivery group in the process of delivering the target information and obtaining the monitoring data by counting the behavior data of the directional delivery group.

An assessment data determination module 1020, comprising:

In an optional embodiment, the fourth diagnosis unit is configured to:

acquiring the flow guide rate of target information; acquiring the flow conductivity of the same kind of information of the target information; and acquiring a corresponding fourth diagnosis score according to the interval distribution of the flow conductivity of the target information in the flow conductivity of the same kind of information of the target information.

In addition, other specific details of the embodiments of the present invention have been described in detail in the embodiments of the present invention of the above method, and are not described herein again.

Exemplary storage Medium

The storage medium of the exemplary embodiment of the present invention is explained below.

In the present exemplary embodiment, the above-described method may be implemented by a program product, such as a portable compact disc read only memory (CD-ROM) and including program code, and may be executed on a device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a 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 program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.

A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RE, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

Exemplary electronic device

An electronic device of an exemplary embodiment of the present invention is explained with reference to fig. 11.

The electronic device 1100 shown in fig. 11 is only an example and should not bring any limitations to the function and the scope of use of the embodiments of the present invention.

As shown in fig. 11, electronic device 1100 is embodied in the form of a general purpose computing device. The components of the electronic device 1100 may include, but are not limited to: at least one processing unit 1110, at least one memory unit 1120, a bus 1130 connecting the various system components including the memory unit 1120 and the processing unit 1110, and a display unit 1140.

Where the memory unit stores program code, which may be executed by the processing unit 1110 to cause the processing unit 1110 to perform steps according to various exemplary embodiments of the present invention as described in the above-mentioned "exemplary methods" section of this specification. For example, processing unit 1110 may perform the method steps shown in fig. 2, and so on.

The storage unit 1120 may include volatile storage units such as a random access storage unit (RAM)1121 and/or a cache storage unit 1122, and may further include a read-only storage unit (ROM) 1123.

The storage unit 1120 may also include a program/utility 1124 having a set (at least one) of program modules 1125, such program modules 1125 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 1130 may include a data bus, an address bus, and a control bus.

The electronic device 1100 may also communicate with one or more external devices 1200 (e.g., keyboard, pointing device, bluetooth device, etc.), which may be through an input/output (I/O) interface 1150. The electronic device 1100 also includes a display unit 1140 that is connected to the input/output (I/O) interface 1150 for display. Also, the electronic device 1100 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 1160. As shown, the network adapter 1160 communicates with the other modules of the electronic device 1100 over the bus 1130. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 1100, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

It should be noted that although in the above detailed description several modules or sub-modules of the apparatus are mentioned, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.

Moreover, while the operations of the method of the invention are depicted in the drawings in a particular order, this does not require or imply that the operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.

While the spirit and principles of the invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. An information delivery processing method, comprising:

submitting plan data of a target information delivery service to a service party, and enabling the service party to deliver target information by adopting the plan data;

acquiring visual diagnosis information of the target information delivery service; the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the target information delivering process;

and presenting the visual diagnosis information in response to the diagnosis entrance being triggered on the interface of the target information.

2. The method according to claim 1, wherein the obtaining of the visual diagnostic information of the target information placement service comprises:

receiving the monitoring data returned by the server;

determining evaluation data of the target information delivery service according to the plan data and the monitoring data;

generating the visual diagnostic information from the assessment data.

3. The method of claim 2, wherein determining the evaluation data of the targeted information placement service based on the planning data and the monitoring data comprises:

determining at least one diagnostic score based on the planning data and the monitoring data, wherein each diagnostic score represents a diagnostic score of an aspect of the targeted information placement service.

4. The method of claim 3, wherein said generating the visual diagnostic information from the assessment data comprises:

5. An information delivery processing method, comprising:

acquiring plan data of a target information delivery service submitted by a requester;

determining evaluation data of the target information delivery service according to the plan data and monitoring data in the target information delivery process by adopting the plan data;

generating visual diagnostic information from the assessment data;

and returning the visual diagnosis information to the requester, so that the requester presents the visual diagnosis information by triggering a diagnosis entry on an interface of the target information.

6. The method according to claim 5, wherein the determining evaluation data of the target information delivery service according to the plan data and the monitoring data in the target information delivery process using the plan data comprises:

and determining at least one diagnosis score according to the plan data and the monitoring data in the process of putting the target information by adopting the plan data, wherein each diagnosis score represents the diagnosis score of the target information putting service in one aspect.

7. An information delivery processing apparatus, comprising:

the system comprises a plan data submitting module, a target information delivery service processing module and a target information delivery module, wherein the plan data submitting module is used for submitting plan data of a target information delivery service to a service party so that the service party adopts the plan data to deliver target information;

the diagnostic information acquisition module is used for acquiring the visual diagnostic information of the target information delivery service; the visual diagnosis information is generated by diagnosing the plan data and the monitoring data in the target information delivering process;

and the diagnosis information presentation module is used for responding to the interface of the target information to trigger a diagnosis entrance and presenting the visual diagnosis information.

8. An information delivery processing apparatus, comprising:

the plan data acquisition module is used for acquiring plan data of a target information delivery service submitted by a requester;

the evaluation data determining module is used for determining the evaluation data of the target information delivery service according to the plan data and the monitoring data in the target information delivery process by adopting the plan data;

the diagnostic information generation module is used for generating visual diagnostic information through the evaluation data;

and the diagnosis information returning module is used for returning the visual diagnosis information to the requester so that the requester can display the visual diagnosis information by triggering a diagnosis entry on the interface of the target information.

9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 6.

10. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the method of any of claims 1-6 via execution of the executable instructions.