CN116051195A

CN116051195A - Media information processing method and device, storage medium and electronic equipment

Info

Publication number: CN116051195A
Application number: CN202111267033.9A
Authority: CN
Inventors: 李少波
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2021-10-28
Filing date: 2021-10-28
Publication date: 2023-05-02

Abstract

The invention discloses a method and a device for processing media information, a storage medium and electronic equipment. Wherein the method comprises the following steps: obtaining a media information release request, responding to the media information release request, searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, determining the quantity of media information to be selected in each media information set according to the preset target processing quantity and the quality parameter of each media information set, selecting the corresponding quantity of media information from each media information set according to the quantity of media information to be selected in each media information set, obtaining a plurality of media information subsets, and determining the media information to be released on the target release position in the plurality of media information subsets. The invention solves the technical problem of poor processing capability of media information in the related technology.

Description

Media information processing method and device, storage medium and electronic equipment

Technical Field

The present invention relates to the field of computers, and in particular, to a method and apparatus for processing media information, a storage medium, and an electronic device.

Background

Intelligent recall, also known as intelligent targeting, is responsible for the task of finding the appropriate users for the media information to publish. In general, taking advertisement as an example, according to different modeling modes, media information is selected from various angles mainly through an ANN media information set, a Tag media information set and other modes, and then the media information selected by each media information set is fused into media information with a preset target processing quantity, so that the subsequent release of the media information is realized.

However, in the above process, there is a problem that the target processing amount is too large, and the media information needs to be truncated according to a certain amount before the media information of the target processing amount enters the next stage of sorting. A part of media information with poor quality is still reserved after cutting, namely, high-quality media information is easy to be accidentally injured, and the probability of the poor-quality media information being reserved is high, so that the technical problem of poor processing capability of the media information is caused.

In view of the above problems, no effective solution has been proposed at present.

Disclosure of Invention

The embodiment of the invention provides a method and a device for processing media information, a storage medium and electronic equipment, which are used for at least solving the technical problem of poor processing capability of the media information in the related technology.

According to an aspect of an embodiment of the present invention, there is provided a method for processing media information, including: acquiring a media information release request, wherein the media information release request is used for requesting to release media information at a target release position; responding to the media information release request, and searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, wherein each media information set in the plurality of media information sets is a set of media information obtained through searching through one of the plurality of searching modes; determining the quantity of media information to be selected in each media information set according to a preset target processing quantity and a quality parameter of each media information set, wherein the target processing quantity represents the quantity of media information which is allowed to be processed and corresponds to the media information release request, the quality parameter of each media information set is determined according to a historical release result of historical media information in each media information set, and the historical media information is media information obtained by each searching mode before the current time; selecting a corresponding number of media information from each media information set according to the number of media information to be selected in each media information set, so as to obtain a plurality of media information subsets; media information to be published at the target publication location is determined among the plurality of media information subsets.

According to another aspect of the embodiment of the present invention, there is also provided a processing apparatus for media information, including: the acquisition module is used for acquiring a media information release request, wherein the media information release request is used for requesting to release media information at a target release position; the searching module is used for responding to the media information release request and searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, wherein each media information set in the plurality of media information sets is a set of media information obtained through searching through one of the plurality of searching modes; the first determining module is configured to determine, according to a preset target processing number and a quality parameter of each media information set, a number of media information to be selected in each media information set, where the target processing number represents a number of media information that is allowed to be processed and corresponds to the media information release request, the quality parameter of each media information set is determined according to a historical release result of historical media information in each media information set, and the historical media information is media information obtained by each searching mode before a current time; the selection module is used for selecting the corresponding number of media information from each media information set according to the number of the media information to be selected in each media information set to obtain a plurality of media information subsets; and the second determining module is used for determining the media information to be published at the target publishing position in the plurality of media information subsets.

Optionally, the apparatus is configured to determine the quality parameter of each of the plurality of media information sets according to a historical publishing result of each of the plurality of media information sets by: when the history release result comprises a click rate, determining a quality parameter of each media information set in the plurality of media information sets according to the click rate of each media information in the plurality of media information sets, wherein the click rate of each media information is equal to the ratio of the number of clicks after release of each media information to the number of exposures of each media information; or when the history release result includes conversion rate, determining a quality parameter of each media information set in the plurality of media information sets according to the conversion rate of each media information in the plurality of media information sets, wherein the conversion rate of each media information is equal to a ratio of the conversion number of each media information after release to the click number of each media information after release, and the conversion number of each media information after release represents the number of times of executing operations corresponding to each media information after release; or when the historical publishing result comprises the click rate and the conversion rate, determining the quality parameter of each media information set in the plurality of media information sets according to the click rate and the conversion rate of each media information in the plurality of media information sets.

Optionally, the apparatus is configured to determine the quality parameter of each of the plurality of media information sets according to the click rate of each of the plurality of media information sets by: determining the quality parameter of each media information set to be equal to the average value of the click rate of each media information in each media information set; or the device is used for determining the quality parameter of each media information set in the plurality of media information sets according to the conversion rate of each media information in the plurality of media information sets by the following modes: determining the quality parameter of each media information set to be equal to the average value of the conversion rate of each media information in each media information set; or the device is used for determining the quality parameter of each media information set in the plurality of media information sets according to the click rate and the conversion rate of each media information in the plurality of media information sets by the following modes: and determining the quality parameter of each media information set to be equal to the average value of the quality values of each media information in each media information set, wherein the quality value of each media information is equal to the product of the click rate and the conversion rate of each media information.

Optionally, the device is configured to search a plurality of media information sets corresponding to the media information release request through a plurality of searching modes in the following manners: responding to the media information release request, searching media information matched with each target searching condition in a plurality of preset target searching conditions, and obtaining a plurality of candidate media information sets; selecting media information with consumption parameters meeting preset conditions from each candidate media information set in the plurality of candidate media information sets to obtain the plurality of media information sets, wherein the consumption parameters of each media information in each media information set in the plurality of media information sets meet the preset conditions, and the consumption parameters of each media information are used for each media information competition publishing position.

Optionally, the device is configured to select, from each candidate media information set in the plurality of candidate media information sets, media information whose consumption parameter meets a preset condition, so as to obtain the plurality of media information sets, by: selecting media information with consumption parameters greater than or equal to (A.times.B) from each candidate media information set to obtain the plurality of media information sets, wherein A is a preset multiple, B represents the initial number of target resources to be transferred after the media information is released, or the initial number of target resources to be transferred after the media information is clicked, or the initial number of target resources to be transferred after the media information is converted; the consumption parameter represents the number of target resources to be transferred after release, which is set when the media information currently competes for the release position.

Optionally, the second determining module includes: the first determining unit is used for determining the proportion of the media information to be selected corresponding to each media information set according to the quality parameter of each media information set; the second determining unit is used for determining the total number of the media information to be selected according to the target processing number and the quality parameter of each media information set; and the third determining unit is used for determining the quantity of the media information to be selected in each media information set according to the total quantity of the media information to be selected and the proportion of the media information to be selected corresponding to each media information set.

Optionally, the device is configured to determine, according to the quality parameter of each media information set, a proportion of media information to be selected corresponding to each media information set by: determining a target quality parameter as equal to the sum of the quality parameters of each media information set; and determining the proportion of the media information to be selected corresponding to each media information set to be equal to the ratio of the quality parameter of each media information set to the target quality parameter.

Optionally, the device is configured to determine the total number of media information to be selected according to the target processing number and the quality parameter of each media information set by: determining the total number of media information to be selected by the following formula:

and num represents the total number of the media information to be selected, num_cut represents the target processing number, per represents a preset proportion, quality_j represents a quality parameter of a j-th media information set in the plurality of media information sets, the plurality of media information sets are N media information sets, N is a positive integer greater than or equal to 2, and history_average_quality represents a historical quality parameter mean value.

Optionally, the device is configured to determine the number of media information to be selected in each media information set according to the total number of media information to be selected and the proportion of media information to be selected corresponding to each media information set by: and determining the number of the media information to be selected in each media information set as the product of the total number of the media information to be selected and the proportion of the media information to be selected corresponding to each media information set.

Optionally, the apparatus is configured to determine media information to be published at the target publication location from the plurality of media information subsets by: combining the plurality of media information subsets into a first media information set; cutting out the media information of the target processing quantity from the first media information set to obtain a second media information set; and determining the media information to be distributed on the target distribution position in the second media information set.

According to still another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium having a computer program stored therein, wherein the computer program is configured to execute the above-described processing method of media information when running.

According to yet another aspect of embodiments of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions so that the computer device performs the processing method of the media information as above.

According to still another aspect of the embodiments of the present invention, there is also provided an electronic device including a memory in which a computer program is stored, and a processor configured to execute the above-described processing method of media information by the computer program.

In the embodiment of the invention, the method comprises the steps of acquiring a media information release request, responding to the media information release request, searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, determining the quality parameter of each media information set in the plurality of media information sets according to the historical release result of each media information in the plurality of media information sets, determining the quantity of media information to be selected in each media information set according to the preset target processing quantity and the quality parameter of each media information set, selecting the corresponding quantity of media information from each media information set according to the quantity of media information to be selected in each media information set, obtaining a plurality of media information subsets, determining the media information to be released in the target release position in the plurality of media information subsets, dynamically adjusting the corresponding quantity of media information in each media information set according to the priority evaluation of each searching mode, optimizing the quality of the media information to be released in the target release position, achieving the aim of improving the intelligence of a media information system, and further solving the technical problem that the processing capability of the media information is poor.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:

FIG. 1 is a schematic illustration of an application environment of an alternative media information processing method according to an embodiment of the invention;

FIG. 2 is a flow chart of an alternative media information processing method according to an embodiment of the invention;

FIG. 3 is a schematic diagram of an alternative media information processing method according to an embodiment of the invention;

FIG. 4 is a schematic diagram of yet another alternative media information processing method according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of yet another alternative media information processing method according to an embodiment of the invention;

FIG. 6 is a schematic diagram of yet another alternative media information processing method according to an embodiment of the invention;

FIG. 7 is a schematic diagram of yet another alternative media information processing method according to an embodiment of the invention;

FIG. 8 is a schematic diagram of yet another alternative media information processing method according to an embodiment of the invention;

FIG. 9 is a schematic diagram of yet another alternative media information processing method according to an embodiment of the invention;

FIG. 10 is a schematic diagram of an alternative media information processing device according to an embodiment of the invention;

FIG. 11 is a schematic diagram of an alternative media information processing product according to an embodiment of the invention;

fig. 12 is a schematic structural view of an alternative electronic device according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

First, partial terms or terminology appearing in describing embodiments of the present application are applicable to the following explanation:

bid advertisement: the users can put in and manage the online advertisements autonomously, rank the advertisements according to advertisement prices and pay according to advertisement effects.

Consumption: and (5) actual fee deduction.

Conversion number: such as number of activations, number of downloads, number of valid threads.

Actual cost of advertisement (Cpa): number of consumption/conversion.

Advertisement bid (Target cpa): target cpa user targets placed on the advertising platform.

Click rate: the bill can be used for measuring the attraction degree of advertisements by reflecting the attention degree of a certain content on a webpage, but not limited to the number of times that the certain content on the webpage is clicked and the number of times that the certain content is displayed.

Conversion rate: in the advertisement scenario, optionally, the merchant sets a conversion target, for example, the visitor completes the target task (registration, order placing, payment, etc.) on the website, then the number of the visitor completing the target task is the number of times the conversion target is completed, the conversion rate may be but not limited to the ratio of the number of times the conversion target is completed to the total number of clicks of the light transmitting information in a statistical period, and the calculation formula may be but not limited to: conversion = (number of conversions/number of clicks) ×100%. Optionally, the conversion rate may be, but not limited to, the core of whether the website is ultimately profitable, and improving the conversion rate of the website is a result of comprehensive operation of the website.

Original orientation: the advertiser uses the self-set directional combination condition besides the intelligent directional function (including automatic expansion and system preference).

The orientation cannot be broken through: also known as non-negligible targeting, is a targeting condition that the advertiser autonomously sets must meet anyway.

Intelligent orientation (intelligent recall): the system aims to solve the problems that the traditional targeting (demographic attributes, equipment attributes, geographic positions, behavioral interests and the like) depends on a large amount of manual priori knowledge of advertisers, manual tuning is difficult and trial-and-error cost is high, and the system helps the advertisements to be automatically targeted to the most suitable crowd, so that the efficiency and experience of the advertiser are improved.

ANN branch: and finding out the advertisement meeting a certain request by establishing a neural network model.

TAG branch: and labeling the advertisement and the user in a label configuration and label mining mode, so that the advertisement matched with a certain request is found out through the matching of label information.

Advertisement concentration problem: also known as head advertising, is mainly manifested in that different users tend to retrieve a small collection of advertisements recalling the same batch, resulting in other advertisements having no exposure opportunity.

The invention is illustrated below with reference to examples:

According to an aspect of the embodiment of the present invention, there is provided a method for processing media information, optionally, in this embodiment, the method for processing media information described above may be applied to a hardware environment composed of the server 101 and the terminal device 103 as shown in fig. 1. As shown in fig. 1, a server 101 is connected to a terminal 103 through a network, and may be used to provide services to a terminal device or an application installed on the terminal device, which may be a video application, an instant messaging application, a browser application, an educational application, a game application, or the like. The database 105 may be provided on or separate from the server for providing data storage services for the server 101, such as a game data storage server, which may include, but is not limited to: a wired network, a wireless network, wherein the wired network comprises: local area networks, metropolitan area networks, and wide area networks, the wireless network comprising: bluetooth, WIFI and other wireless communication networks, the terminal device 103 may be a terminal configured with an application program, and may include, but is not limited to, at least one of the following: the mobile phone (such as an Android mobile phone, an iOS mobile phone, etc.), a notebook computer, a tablet computer, a palm computer, an MID (Mobile Internet Devices, mobile internet device), a PAD, a desktop computer, a smart television, etc., where the server may be a single server, a server cluster formed by a plurality of servers, or a cloud server.

As shown in fig. 1, the above-mentioned processing method of media information may be implemented on the server 101 and the terminal device 103 by the following steps:

s1, acquiring a media information release request on a terminal device 103, wherein the media information release request is used for requesting to release media information at a target release position;

s2, responding to a media information release request on the terminal equipment 103, and searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, wherein each media information set in the plurality of media information sets is a set of media information obtained through searching through one of the plurality of searching modes;

s3, determining the quantity of media information to be selected in each media information set on the terminal equipment 103 according to the preset target processing quantity and the quality parameter of each media information set, wherein the target processing quantity represents the quantity of media information which is allowed to be processed and corresponds to the media information release request, the quality parameter of each media information set is determined according to the historical release result of the historical media information in each media information set, and the historical media information is obtained by each searching mode before the current time;

S4, selecting a corresponding number of media information from each media information set according to the number of media information to be selected in each media information set on the terminal equipment 103 to obtain a plurality of media information subsets;

s5, determining media information to be published at the target publishing position in a plurality of media information subsets on the terminal device 103.

Alternatively, in the present embodiment, the above-described processing method of media information may also be implemented by a server or a terminal device alone, for example, in the server 101 or the terminal device 103 shown in fig. 1.

The above is merely an example, and the present embodiment is not particularly limited.

Optionally, as an optional implementation manner, as shown in fig. 2, the method for processing media information includes:

s202, acquiring a media information release request, wherein the media information release request is used for requesting to release media information at a target release position;

s204, responding to the media information release request, and searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, wherein each media information set in the plurality of media information sets is a set of media information obtained through searching through one of the plurality of searching modes;

S206, determining the quantity of media information to be selected in each media information set according to the preset target processing quantity and the quality parameter of each media information set, wherein the target processing quantity represents the quantity of media information which is allowed to be processed and corresponds to the media information release request, the quality parameter of each media information set is determined according to the historical release result of the historical media information in each media information set, and the historical media information is obtained by each searching mode before the current time;

s208, selecting a corresponding number of media information from each media information set according to the number of media information to be selected in each media information set, so as to obtain a plurality of media information subsets;

s210, determining media information to be published on a target publishing position in a plurality of media information subsets.

Optionally, in this embodiment, the application scenario of the above media information processing method may include, but is not limited to, processing scenarios of media information in multiple scenarios of medical treatment, finance, credit investigation, banking, government, energy, education, security, building, game, traffic, internet of things, industry, and the like.

Alternatively, in this embodiment, the above-mentioned media information processing method may be applied, but not limited to, to the advertising system platform issuing a scene of a corresponding advertisement (media information) on an advertisement space provided by the advertising system platform according to an advertisement bid.

Alternatively, in this embodiment, the target publishing position may be, but not limited to, a region position for publishing media information in an online or offline form, where the region position may be, but not limited to, a fixed position, such as a home page of a website, an elevator, or the like, and the region position may be, but not limited to, a position flexibly preset according to a preset condition, for example, when a user browses a web page for a preset duration, and the region position is displayed.

For example, fig. 3 is a schematic diagram of yet another alternative method for processing media information according to an embodiment of the present invention, and as shown in fig. 3, the manner of obtaining the media information publishing request may include, but is not limited to, a target publishing position 302, a group of publishing positions 304 and a terminal device display interface 306, where the group of publishing positions 304 is displayed on the terminal device display interface 306, and the target publishing position 302 in the group of publishing positions 304 publishes the media information.

Alternatively, in this embodiment, the above media information distribution request may include, but is not limited to, a media information distribution request generated by a system or a user according to a preset condition, for example, a user clicks a touch button of a certain application interface, a user refreshes a certain display interface, a user initiates a media information distribution request generated by a certain application program, and so on.

Optionally, in this embodiment, the foregoing preset searching methods may include, but are not limited to, searching methods that allow searching the media information set according to the media information release request.

For example, an ANN triggers a branch (lookup mode), based on some ANN models, to mine out an implicit crowd P1, which is equivalent to simulating an advertiser to mine out crowd packages, wherein the ANN branch in an intelligent recall adopts an end-to-end model that builds multi-dimensional features, automatically builds a targeting model through a machine learning algorithm, automatically selects an appropriate audience for each advertisement, and dynamically adjusts over time, the predefined goal may be CTR, CVR, CTCVR, LOOKALIKE, and so on. The existing models can be reused according to the target modeling, and the main thought is to timely feed back and adjust the similarity threshold according to the consumption and cost achievement conditions of advertisements so as to control the relaxation or the tightening of the oriented crowd.

The TAG branch in intelligent recall essentially selects the targeting TAG at the simulated advertiser. Each advertisement has an advertisement representation and each user has a user representation, and by establishing a matching strategy between the two, the advertisement suitable for each user is matched with the advertisement representation.

In particular, matching strategies can be formulated from different angles, increasing the richness of recall advertisements (media information) as much as possible. Each different matching strategy corresponds to a TAG leg.

For example, the matching strategy is as follows:

1) Automatically binding the behavior interest oriented labels;

2) Automatically binding an APP installation orientation label;

3) Automatically binding a custom crowd orientation tag;

4) And automatically binding the converted crowd.

The ANN branch and the TAG branch described above recall (corresponding to the foregoing search operation) part of the advertisements respectively, and aggregate the results of these advertisements to obtain a total recall advertisement candidate set, and fig. 4 is a schematic diagram of another alternative media information processing method according to an embodiment of the present invention, as shown in fig. 4, in the following manner: wherein P1 is the recall of the ANN leg, P2 is the recall of the Tag leg, and A and B are non-breachable orientations. By summarizing the above modes, the method is equivalent to taking the results of P1 and P2 as a union set, and then taking the union set with the non-breakthrough orientation, thus obtaining the final media information to be released.

Wherein, fig. 5 is a schematic diagram of yet another alternative media information processing method according to an embodiment of the present invention, as shown in fig. 5, the whole fusion includes, but is not limited to, the following steps:

s1, acquiring a media information release request (request);

s2, responding to the media information release request, and searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes;

s3, determining the quantity of the media information to be selected in each media information set according to the preset target processing quantity and the quality parameter of each media information set, and selecting the corresponding quantity of the media information from each media information set according to the quantity of the media information to be selected in each media information set to obtain a plurality of media information subsets;

s4, determining media information to be published on a target publishing position in a plurality of media information subsets;

s5, merging the plurality of media information subsets into a first media information set;

s6, intercepting media information of target processing quantity from the first media information set to obtain a second media information set;

s7, determining the media information to be published on the target publishing position in the second media information set.

Optionally, in this embodiment, the history publishing result may include, but is not limited to, a click rate and/or a conversion rate after the media information is published, where the click rate is: the bill can be used for measuring the attraction degree of advertisements by reflecting the attention degree of a certain content on a webpage, but not limited to the number of times that the certain content on the webpage is clicked and the number of times that the certain content is displayed. Conversion rate: in the advertisement scenario, optionally, the merchant sets a conversion target, for example, the visitor completes the target task (registration, order placing, payment, etc.) on the website, then the number of the visitor completing the target task is the number of times the conversion target is completed, the conversion rate may be but not limited to the ratio of the number of times the conversion target is completed to the total number of clicks of the light transmitting information in a statistical period, and the calculation formula may be but not limited to: conversion = (number of conversions/number of clicks) ×100%. Optionally, the conversion rate may be, but not limited to, the core of whether the website is ultimately profitable, and improving the conversion rate of the website is a result of comprehensive operation of the website.

Specifically, the method can also include, but is not limited to, clicking times, conversion times, consumption, exposure times and the like, wherein consumption refers to actual income or actual deduction brought by the media information after being released.

Alternatively, in this embodiment, the quality parameter may include, but is not limited to, a click rate, a conversion rate, and the like in the history issue result.

For example, the media information that is sufficiently consumed among all the media information is used as a quality parameter for determining each media information set, including but not limited to: the quality parameter is equal to the product of click through rate and conversion rate.

Optionally, in this embodiment, the target processing number may include, but is not limited to, the total amount of the media information sets obtained by each searching mode, and taking the media information as an example, as described above, the amount of the advertisement after the media information sets obtained by each searching mode are fused needs to be controlled to a certain reasonable level, which cannot be more or less. From a large aspect, the number of advertisements after fusion is related to two major factors: the first factor is the advertisement quantity which can be accepted by the subsequent flow, the influence factor is obvious, the advertisement quantity needed by the subsequent flow is more, the recall quantity needs to be increased, and otherwise, the recall quantity needs to be reduced; another big factor is the quality of the advertisement itself, and if the quality of the advertisements in each media information set is higher, the amount of recalled advertisements is increased to increase and equalize the exposure opportunities for each premium advertisement.

According to the embodiment, a media information release request is acquired, a plurality of media information sets corresponding to the media information release request are searched for through a plurality of preset searching modes in response to the media information release request, the quantity of media information to be selected in each media information set is determined according to the preset target processing quantity and the quality parameter of each media information set, the corresponding quantity of media information is selected from each media information set according to the quantity of media information to be selected in each media information set, a plurality of media information subsets are obtained, the media information to be released at the target release position is determined in the plurality of media information subsets, dynamic adjustment is carried out on the corresponding quantity of media information selected from each media information set through the evaluation of the advantages and disadvantages of the searching modes, the quality effect of the media information to be released at the target release position is optimized, the intelligent aim of a media information system is achieved, the technical effect of improving the processing capacity of the media information is achieved, and the technical problem that the processing capacity of the media information is poor in related technology is solved.

As an alternative, the determining the quality parameter of each media information set of the plurality of media information sets according to the historical publishing result of each media information set of the plurality of media information sets includes:

when the historical release result comprises a click rate, determining a quality parameter of each media information set in the plurality of media information sets according to the click rate of each media information in the plurality of media information sets, wherein the click rate of each media information is equal to the ratio of the number of clicks after release of each media information to the number of exposures of each media information; or alternatively

When the history release result comprises conversion rate, determining quality parameters of each media information set in the media information sets according to the conversion rate of each media information in the media information sets, wherein the conversion rate of each media information is equal to the ratio of the conversion number of each media information after release to the click number of each media information after release, and the conversion number of each media information after release represents the number of times of executing operations corresponding to each media information after release; or alternatively

And when the historical release result comprises the click rate and the conversion rate, determining the quality parameter of each media information set in the plurality of media information sets according to the click rate and the conversion rate of each media information in the plurality of media information sets.

Alternatively, in the present embodiment, the above click rate=the number of clicks/the number of exposures, and the conversion rate=the number of conversions/the number of clicks.

Optionally, in this embodiment, when the history publishing result includes a click rate, a quality parameter of each media information set in the plurality of media information sets is determined according to a ratio of a number of clicks after each media information is published to a number of exposures of each media information.

In particular, the quality parameters of each media information collection may be determined including, but not limited to, the mean, median, maximum, minimum, and other evaluation methods of the click through rates of the media information in each media information collection.

Optionally, in this embodiment, when the history distribution result includes a conversion rate, a quality parameter of each of the plurality of media information sets is determined according to a ratio of a conversion number after each of the plurality of media information sets is distributed to a click number after each of the plurality of media information sets, and the conversion number after each of the plurality of media information sets indicates a number of times each of the plurality of media information sets is distributed to perform an operation corresponding to each of the plurality of media information.

In particular, the quality parameters of each media information collection may be determined including, but not limited to, the mean, median, maximum, minimum, and other methods of evaluating the conversion of the media information in each media information collection.

Optionally, in this embodiment, when the historical publishing result includes a click rate and a conversion rate, a quality parameter of each of the plurality of media information sets is determined according to the click rate and the conversion rate of each of the plurality of media information sets.

In particular, quality parameters for each media information collection may be determined including, but not limited to, the product, sum, difference, quotient, and other evaluation methods of the click-through rate and conversion rate of the media information in each media information collection.

According to the embodiment, the quality parameters of each media information set are determined according to the parameters of the media information included in the historical release results, and then the media information quantity associated with the quality parameters is distributed for each media information set for subsequent selection, so that the technical effects of improving the processing efficiency of the media information, enhancing the processing capability of the media information, fully considering the quality of the media information, reserving the high-quality media information as much as possible and removing the poor media information as much as possible are achieved.

As an alternative to this, it is also possible,

determining a quality parameter of each of the plurality of media information sets according to the click rate of each of the plurality of media information sets, comprising: determining a quality parameter of each media information set to be equal to a mean value of click-through rates of each media information in each media information set; or alternatively

Determining a quality parameter for each of the plurality of sets of media information based on the conversion rate of each of the plurality of sets of media information, comprising: determining a quality parameter for each media information collection to be equal to a mean value of the conversion rate of each media information in each media information collection; or alternatively

Determining a quality parameter of each media information set of the plurality of media information sets according to the click rate and the conversion rate of each media information of the plurality of media information sets, comprising: the quality parameter of each media information set is determined to be equal to a mean value of the quality values of each media information in each media information set, wherein the quality value of each media information is equal to a product of the click rate and the conversion rate of each media information.

Optionally, in this embodiment, the average value of the click rate is calculated from a historical publishing result of each media information in each media information set.

For example, fig. 6 is a schematic diagram of a processing method of another alternative media information according to an embodiment of the present invention, as shown in fig. 6, including a media information set a, a media information set B, and a media information set C, where the media information set a includes media information 1, media information 2, and media information 3, the media information set B includes media information 4, media information 5, and media information 6, the media information set C includes media information 7, media information 8, and media information 9, the click rate of the media information 1 is 40%, the click rate of the media information 2 is 50%, the click rate of the media information 3 is 60%, the click rate of the media information 4 is 30%, the click rate of the media information 5 is 40%, the click rate of the media information 6 is 50%, the click rate of the media information 7 is 10%, the click rate of the media information 8 is 20%, the click rate of the media information 9 is 30%, then the quality parameter of the media information set a is (40% +50% +60%/3=50%, and so on, the quality parameter of the media information set B is 40%, and the quality parameter of the media information set C is 20%.

For example, fig. 7 is a schematic diagram of a processing method of media information according to another alternative embodiment of the present invention, as shown in fig. 7, including a media information set a, a media information set B, and a media information set C, where media information set a includes media information 1, media information 2, and media information 3, media information set B includes media information 4, media information 5, and media information 6, media information set C includes media information 7, media information 8, and media information 9, the conversion rate of media information 1 is 40%, the conversion rate of media information 2 is 50%, the conversion rate of media information 3 is 60%, the conversion rate of media information 4 is 30%, the conversion rate of media information 5 is 40%, the conversion rate of media information 6 is 50%, the conversion rate of media information 7 is 10%, the conversion rate of media information 8 is 20%, the conversion rate of media information 9 is 30%, and then the quality parameter of media information set a is (40% +50% +60%)/3=50%, and so on, the quality parameter of media information set B is 40%, and the quality parameter of media information set C is 20%.

For example, fig. 8 is a schematic diagram of a processing method of another alternative media information according to an embodiment of the present invention, as shown in fig. 8, including a media information set a, a media information set B, and a media information set C, where media information set a includes media information 1 and media information 2, media information set B includes media information 3 and media information 4, a click rate of media information 1 is 40%, a conversion rate is 20%, a click rate of media information 2 is 50%, a conversion rate is 40%, a product of a click rate of media information 1 and a conversion rate is 40% ×20% =0.08, a product of a click rate of media information 2 and a conversion rate is 50% ×40% =0.2, a click rate of media information 3 is 60%, a product of a click rate of media information 3 and a conversion rate is 60% ×50% =0.3, a click rate of media information 4 is 30%, a product of a click rate of media information 4 and a conversion rate is 30% ×20% =0.06, and a quality parameter of media information set a is (0.08)/quality parameter of media information set 0.2+0.06 is 0.6, and a quality parameter of the media information set is 0.08+0.2/0.0.06.

The above is merely an example, and the present embodiment is not limited in any way.

As an alternative, searching a plurality of media information sets corresponding to the media information release request through a plurality of searching modes includes:

responding to a media information release request, searching media information matched with each target searching condition in a plurality of preset target searching conditions, and obtaining a plurality of candidate media information sets;

selecting media information with consumption parameters meeting preset conditions from each candidate media information set in the plurality of candidate media information sets to obtain a plurality of media information sets, wherein the consumption parameters of each media information in each media information set in the plurality of media information sets meet the preset conditions, and the consumption parameters of each media information are used for each media information competition publishing position.

Alternatively, in this embodiment, the above-mentioned preset condition may be preconfigured by the system, may be determined according to the history overhead of each media information competition distribution position, that is, the history consumption parameter, and may be determined according to the history distribution information of each media information.

Alternatively, in this embodiment, when the media information is consumed sufficiently, the click rate and conversion rate of the media information are counted, and if the media information set is not consumed sufficiently, the quality parameter may be determined in other manners.

For example, for advertisement, for some of the above-described lookup methods (corresponding to the following branches):

1) Counting the consumption of all advertisements until the day, and if the consumption of a certain advertisement (corresponding to the consumption parameters) is <3 × target bid (namely, the initial number of target resources to be transferred after the media information is released, or the initial number of target resources to be transferred after the media information is clicked, or the initial number of target resources to be transferred after the media information is converted), considering that the consumption of the advertisement is insufficient; otherwise, the advertisement is considered to be consumed sufficiently.

2) And taking out all the advertisements which are fully consumed, and calculating the click rate and conversion rate of each advertisement. Click rate = number of clicks/number of exposures, conversion rate = number of conversions/number of clicks. Quality = click-through rate of advertisement conversion rate.

3) The average value of all the quality of the advertisements which are fully consumed under the branch is taken as the quality of the branch.

4) If sufficient advertising is not consumed under a leg, the quality of that leg is set to the average of the quality of the remaining legs.

5) If none of the branches consume sufficient advertising, then the quality of all the branches is set to 1.

As an alternative, selecting media information whose consumption parameter satisfies a preset condition from each candidate media information set in the plurality of candidate media information sets, to obtain a plurality of media information sets, including:

selecting media information with consumption parameters larger than or equal to (A.times.B) from each candidate media information set to obtain a plurality of media information sets, wherein A is a preset multiple, and B represents the initial number of target resources to be transferred after the media information is released, or the initial number of target resources to be transferred after the media information is clicked, or the initial number of target resources to be transferred after the media information is converted; the consumption parameter represents the number of target resources to be transferred after release, which is set when the media information currently competes for the release location.

Alternatively, in this embodiment, the a is a preset multiple, and may be dynamically set according to information of a bidder of media information, for example, when the bidder is of a first preset type, the bidder is set to 5, when the bidder is of a second preset type, the bidder is set to 3, and when the bidder is of a third preset type, the bidder is of a first preset type, the bid value of the first preset type is greater than a first preset threshold, the second preset type is a bidder of which the bid value is less than or equal to the first preset threshold, and the bidder is greater than a second preset threshold, and the third preset type is a bidder of which the bid value is less than or equal to the second preset threshold, and the first preset threshold is greater than the second preset value.

Alternatively, in this embodiment, the initial number of target resources to be transferred after the media information is released may include, but is not limited to, an example of an advertisement platform, an initial number of target resources to be transferred after each time the advertisement platform releases an advertisement, an example of an advertisement platform, an advertisement platform releases an advertisement after each time the media information is clicked, an initial number of target resources to be transferred after each time the advertisement platform releases an advertisement, and a user clicks, or an initial number of target resources to be transferred after the media information is converted may include, but is not limited to, an example of an advertisement platform, an advertisement is released each time the advertisement platform releases an advertisement, and an initial number of target resources to be obtained from an advertiser after the user clicks and converts the advertisement.

As an alternative, determining the number of media information to be selected in each media information set according to the preset target processing number and the quality parameter of each media information set includes:

determining the proportion of the media information to be selected corresponding to each media information set according to the quality parameter of each media information set;

Determining the total number of media information to be selected according to the target processing number and the quality parameter of each media information set;

and determining the quantity of the media information to be selected in each media information set according to the total number of the media information to be selected and the proportion of the media information to be selected corresponding to each media information set.

Alternatively, in the present embodiment, the following examples may be included but are not limited:

after the quality parameter calculation of each media information set is completed, determining the number of media information to be selected in each media information set according to the total number of media information to be selected and the proportion of the media information to be selected corresponding to each media information set may include, but is not limited to, the following formula determination:

in the above, rate _i Representing the proportion of the media information to be selected corresponding to the ith media information set; quality of _i A quality parameter representing an ith set of media information; n represents the total number of media information to be selected.

As an alternative, determining, according to the quality parameter of each media information set, a proportion of media information to be selected corresponding to each media information set includes:

Determining a target quality parameter as equal to a sum of quality parameters of each media information set;

and determining the proportion of the media information to be selected corresponding to each media information set to be equal to the ratio of the quality parameter of each media information set to the target quality parameter.

As an alternative, determining the total number of media information to be selected according to the target processing number and the quality parameter of each media information set includes:

determining the total number of media information to be selected by the following formula:

the num represents the total number of media information to be selected, num_cut represents the target processing number, per represents the preset proportion, quality_j represents the quality parameter of the j-th media information set in the multiple media information sets, the multiple media information sets are N media information sets, N is a positive integer greater than or equal to 2, and history_average_quality represents the average value of the historical quality parameters.

Optionally, in this embodiment, the total number of media information to be selected after the fusion of each media information set needs to be controlled to a certain reasonable level, which cannot be more or less. From a large aspect, the total number of media information to be selected after the media information sets are fused is related to two major factors: the first factor is the total number of media information to be selected which can be accepted by the subsequent flow, the influence factor is obvious, the subsequent required advertisement quantity is large, the total number of the media information to be selected is increased, and otherwise, the total number of the media information to be selected is reduced; another major factor is the quality of the media information itself, which, if the quality of the media information within each media information collection is high, increases the total number of media information to be selected, which can increase and equalize the exposure opportunities for each quality media information.

As an alternative solution, determining the number of media information to be selected in each media information set according to the total number of media information to be selected and the proportion of the media information to be selected corresponding to each media information set, including:

and determining the number of the media information to be selected in each media information set as the product of the total number of the media information to be selected and the proportion of the media information to be selected corresponding to each media information set.

Alternatively, in the present embodiment, the fusion policy may include, but is not limited to, the following examples:

1) Calculating the proportion of the number of the media information to be selected in each media information set to the total number of the media information to be selected according to the regulation strategy of the number of the media information to be selected in each media information set;

2) Calculating the total number of the media information to be selected according to the total number control strategy of the fused media information to be selected;

3) Calculating recall advertisement quantity returned by each media information set according to the following steps:

num_ads _i ＝rate _i * num wherein num_ads _i Representing the media information sets to be selectedIs provided.

4) And according to the quality sequence of the media information in the media information sets, the quantity of the media information to be selected in each media information set is taken out and calculated in the last step.

As an alternative, determining media information to be published at the target publication location in the plurality of media information subsets includes:

combining the plurality of media information subsets into a first media information set;

intercepting media information of target processing quantity from the first media information set to obtain a second media information set;

media information to be published at the target publication location is determined in the second set of media information.

Optionally, in this embodiment, fig. 9 is a schematic diagram of yet another alternative media information processing method according to an embodiment of the present invention, as shown in fig. 9, which may include, but is not limited to, the following:

num_ads _i ＝rate _i *num

wherein num_ads _i Representing the number of media information to be selected in each media information set.

S1, acquiring a media information release request (request);

s2, responding to a media information release request, and searching a plurality of media information sets (an ANN branch, a TAG branch 1, a TAG branch 2 and the like) corresponding to the media information release request through a plurality of preset searching modes;

s3, determining the quantity of the media information to be selected in each media information set according to the preset target processing quantity and the quality parameter of each media information set, and selecting the corresponding quantity of the media information from each media information set according to the quantity (Rate 1 x num, rate2 x num and the like) of the media information to be selected in each media information set to obtain a plurality of media information subsets;

s5, merging the plurality of media information subsets into a first media information set (total num);

s6, intercepting media information of target processing quantity from the first media information set to obtain a second media information set (cut_rate);

s7, determining the media information (num_cut) to be published on the target publishing position in the second media information set.

It should be noted that, after the preliminary experiment, after each media information set is intelligently managed, consumption of media information is improved by about 3%, and cost achievement rate of media information is improved by about 5%. Substantially in line with the expectations. The embodiment mainly evaluates the effect of each media information set, gives more exposure opportunities to the media information set with good effect, and meets the following conditions within the protection scope of the application:

1) Evaluating the effect of the media information collection is not limited to the effect evaluation mode, and all the effects such as the median, the maximum value and the minimum value of the media information quality are calculated; and other methods of evaluating the quality of media information are within the scope of this patent.

2) And (5) proportional control of the media information output by the media information set. The method is not limited to the proportional control method, and any method for controlling the media information output proportion of each media information set by evaluating each media information set and then according to the effect of the media information set is within the protection scope of the patent.

It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.

According to another aspect of the embodiment of the present invention, there is also provided a media information processing apparatus for implementing the above media information processing method. As shown in fig. 10, the apparatus includes:

an obtaining module 1002, configured to obtain a media information publishing request, where the media information publishing request is used to request to publish media information at a target publishing position;

The searching module 1004 is configured to respond to the media information publishing request, and search a plurality of media information sets corresponding to the media information publishing request through a plurality of preset searching modes, where each media information set in the plurality of media information sets is a set of media information obtained by searching through one of the plurality of searching modes;

a first determining module 1006, configured to determine, according to a preset target processing number and a quality parameter of each media information set, a number of media information to be selected in each media information set, where the target processing number represents a number of media information that is allowed to be processed and corresponds to the media information release request, and the quality parameter of each media information set is determined according to a historical release result of historical media information in each media information set, where the historical media information is media information obtained by each search mode before a current time;

a selecting module 1008, configured to select, according to the number of media information to be selected in each media information set, a corresponding number of media information from each media information set, so as to obtain a plurality of media information subsets;

A second determining module 1010 is configured to determine media information to be published at the target publication location from the plurality of media information subsets.

As an alternative, the apparatus further includes:

before determining the quantity of media information to be selected in each media information set according to the preset target processing quantity and the quality parameters of each media information set, determining the quality parameters of each media information set in the plurality of media information sets according to the click rate of each media information in the plurality of media information sets when the history release result comprises the click rate, wherein the click rate of each media information is equal to the ratio of the click number of each media information after release to the exposure number of each media information; or alternatively

As an alternative to this, it is also possible,

the device is used for determining the quality parameter of each media information set in the plurality of media information sets according to the click rate of each media information in the plurality of media information sets by the following modes: determining the quality parameter of each media information set to be equal to the average value of the click rate of each media information in each media information set; or alternatively

The apparatus is configured to determine a quality parameter for each of the plurality of media information sets based on a conversion rate of each of the plurality of media information sets by: determining the quality parameter of each media information set to be equal to the average value of the conversion rate of each media information in each media information set; or alternatively

The device is used for determining the quality parameter of each media information set in the plurality of media information sets according to the click rate and the conversion rate of each media information in the plurality of media information sets by the following modes: and determining the quality parameter of each media information set to be equal to the average value of the quality values of each media information in each media information set, wherein the quality value of each media information is equal to the product of the click rate and the conversion rate of each media information.

As an alternative, the device is configured to search for a plurality of media information sets corresponding to the media information publishing request by using a plurality of searching methods in the following manners:

responding to the media information release request, searching media information matched with each target searching condition in a plurality of preset target searching conditions, and obtaining a plurality of candidate media information sets;

selecting media information with consumption parameters meeting preset conditions from each candidate media information set in the plurality of candidate media information sets to obtain the plurality of media information sets, wherein the consumption parameters of each media information in each media information set in the plurality of media information sets meet the preset conditions, and the consumption parameters of each media information are used for each media information competition publishing position.

As an alternative, the device is configured to select, from each candidate media information set in the plurality of candidate media information sets, media information whose consumption parameters meet a preset condition, so as to obtain the plurality of media information sets, by:

selecting media information with consumption parameters greater than or equal to (A.times.B) from each candidate media information set to obtain the plurality of media information sets, wherein A is a preset multiple, B represents the initial number of target resources to be transferred after the media information is released, or the initial number of target resources to be transferred after the media information is clicked, or the initial number of target resources to be transferred after the media information is converted; the consumption parameter represents the number of target resources to be transferred after release, which is set when the media information currently competes for the release position.

As an alternative, the second determining module 1008 includes:

the first determining unit is used for determining the proportion of the media information to be selected corresponding to each media information set according to the quality parameter of each media information set;

the second determining unit is used for determining the total number of the media information to be selected according to the target processing number and the quality parameter of each media information set;

and the third determining unit is used for determining the quantity of the media information to be selected in each media information set according to the total quantity of the media information to be selected and the proportion of the media information to be selected corresponding to each media information set.

As an optional solution, the device is configured to determine, according to the quality parameter of each media information set, a proportion of media information to be selected corresponding to each media information set by:

determining a target quality parameter as equal to the sum of the quality parameters of each media information set;

As an alternative, the device is configured to determine the total number of media information to be selected according to the target processing number and the quality parameter of each media information set by:

As an alternative, the device is configured to determine the number of media information to be selected in each media information set according to the total number of media information to be selected and the proportion of media information to be selected corresponding to each media information set by:

As an alternative, the apparatus is configured to determine, from the plurality of media information subsets, media information to be published at the target publication location by:

cutting out the media information of the target processing quantity from the first media information set to obtain a second media information set;

and determining the media information to be distributed on the target distribution position in the second media information set.

According to one aspect of the present application, a computer program product is provided, comprising a computer program/instructions containing program code for performing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network via the communication portion 1109, and/or installed from the removable media 1111. When executed by the central processor 1101, performs the various functions provided by the embodiments of the present application.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

Fig. 11 schematically shows a block diagram of a computer system for implementing an electronic device according to an embodiment of the present application.

It should be noted that, the computer system 1100 of the electronic device shown in fig. 11 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.

As shown in fig. 11, the computer system 1100 includes a central processing unit 1101 (Central Processing Unit, CPU) that can execute various appropriate actions and processes according to a program stored in a Read-Only Memory 1102 (ROM) or a program loaded from a storage section 1108 into a random access Memory 1103 (Random Access Memory, RAM). In the random access memory 1103, various programs and data necessary for the system operation are also stored. The cpu 1101, the rom 1102, and the ram 1103 are connected to each other via a bus 1104. An Input/Output interface 1105 (i.e., an I/O interface) is also connected to bus 1104.

The following components are connected to the input/output interface 1105: an input section 1106 including a keyboard, a mouse, and the like; an output portion 1107 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and a speaker; a storage section 1108 including a hard disk or the like; and a communication section 1109 including a network interface card such as a local area network card, a modem, and the like. The communication section 1109 performs communication processing via a network such as the internet. The drive 1110 is also connected to the input/output interface 1105 as needed. Removable media 1111, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is installed as needed in drive 1110, so that a computer program read therefrom is installed as needed in storage section 1108.

In particular, according to embodiments of the present application, the processes described in the various method flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network via the communication portion 1109, and/or installed from the removable media 1111. The computer program, when executed by the central processor 1101, performs the various functions defined in the system of the present application.

According to still another aspect of the embodiment of the present invention, there is also provided an electronic device for implementing the above-mentioned media information processing method, where the electronic device may be a terminal device or a server as shown in fig. 1. The present embodiment is described taking the electronic device as a terminal device as an example. As shown in fig. 12, the electronic device comprises a memory 1202 and a processor 1204, the memory 1202 storing a computer program, the processor 1204 being arranged to perform the steps of any of the method embodiments described above by means of the computer program.

Alternatively, in this embodiment, the electronic device may be located in at least one network device of a plurality of network devices of the computer network.

Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:

s1, acquiring a media information release request, wherein the media information release request is used for requesting to release media information at a target release position;

s2, responding to a media information release request, and searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, wherein each media information set in the plurality of media information sets is a set of media information obtained through searching through one of the plurality of searching modes;

s3, determining the quantity of media information to be selected in each media information set according to the preset target processing quantity and the quality parameter of each media information set, wherein the target processing quantity represents the quantity of media information which is allowed to be processed and corresponds to a media information release request, the quality parameter of each media information set is determined according to the historical release result of historical media information in each media information set, and the historical media information is obtained by each searching mode before the current time;

S4, selecting a corresponding number of media information from each media information set according to the number of media information to be selected in each media information set, and obtaining a plurality of media information subsets;

s5, determining the media information to be published on the target publishing position in the plurality of media information subsets.

Alternatively, as will be appreciated by those skilled in the art, the structure shown in fig. 12 is merely illustrative, and the electronic device may be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palmtop computer, a mobile internet device (Mobile Internet Devices, MID), a PAD, or other terminal devices. Fig. 12 is not limited to the structure of the electronic device and the electronic apparatus described above. For example, the electronics can also include more or fewer components (e.g., network interfaces, etc.) than shown in fig. 12, or have a different configuration than shown in fig. 12.

The memory 1202 may be used for storing software programs and modules, such as program instructions/modules corresponding to the methods and apparatuses for processing media information in the embodiments of the present invention, and the processor 1204 executes the software programs and modules stored in the memory 1202 to perform various functional applications and data processing, that is, implement the methods for processing media information described above. Memory 1202 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 1202 may further include memory located remotely from the processor 1204, which may be connected to the terminal via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 1202 may be, but not limited to, information such as media information and history distribution information of the media information. As an example, as shown in fig. 12, the memory 1202 may include, but is not limited to, an acquisition module 1002, a search module 1004, a first determination module 1006, a second determination module 1008, a selection module 1010, and a third determination module 1012 in a processing apparatus including the media information. In addition, other module units in the processing device of the media information may be included, but are not limited to, and are not described in detail in this example.

Optionally, the transmission device 1206 is configured to receive or transmit data via a network. Specific examples of the network described above may include wired networks and wireless networks. In one example, the transmission means 1206 comprises a network adapter (Network Interface Controller, NIC) that can be connected to other network devices and routers via a network cable to communicate with the internet or a local area network. In one example, the transmission device 1206 is a Radio Frequency (RF) module for communicating wirelessly with the internet.

In addition, the electronic device further includes: a display 1208 for displaying the media information; and a connection bus 1210 for connecting the respective module parts in the above-described electronic apparatus.

In other embodiments, the terminal device or the server may be a node in a distributed system, where the distributed system may be a blockchain system, and the blockchain system may be a distributed system formed by connecting the plurality of nodes through a network communication. Among them, the nodes may form a Peer-To-Peer (P2P) network, and any type of computing device, such as a server, a terminal, etc., may become a node in the blockchain system by joining the Peer-To-Peer network.

According to one aspect of the present application, there is provided a computer-readable storage medium, from which a processor of a computer device reads the computer instructions, the processor executing the computer instructions, so that the computer device performs a method of processing media information provided in various alternative implementations of the processing aspect of media information described above.

Alternatively, in the present embodiment, the above-described computer-readable storage medium may be configured to store a computer program for performing the steps of:

s5, determining the media information to be published on the target publishing position in the plurality of media information subsets. Alternatively, in this embodiment, it will be understood by those skilled in the art that all or part of the steps in the methods of the above embodiments may be performed by a program for instructing a terminal device to execute the steps, where the program may be stored in a computer readable storage medium, and the storage medium may include: flash disk, read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), magnetic or optical disk, and the like.

The integrated units in the above embodiments may be stored in the above-described computer-readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, comprising several instructions for causing one or more computer devices (which may be personal computers, servers or network devices, etc.) to perform all or part of the steps of the method described in the embodiments of the present invention.

In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.

In several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims

1. A method for processing media information, comprising:

acquiring a media information release request, wherein the media information release request is used for requesting to release media information at a target release position;

responding to the media information release request, and searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, wherein each media information set in the plurality of media information sets is a set of media information obtained through searching through one of the plurality of searching modes;

Determining the quantity of media information to be selected in each media information set according to a preset target processing quantity and a quality parameter of each media information set, wherein the target processing quantity represents the quantity of media information which is allowed to be processed and corresponds to the media information release request, the quality parameter of each media information set is determined according to a historical release result of historical media information in each media information set, and the historical media information is media information obtained by each searching mode before the current time;

selecting a corresponding number of media information from each media information set according to the number of media information to be selected in each media information set, so as to obtain a plurality of media information subsets;

media information to be published at the target publication location is determined among the plurality of media information subsets.

2. The method of claim 1, wherein before determining the number of media information to be selected in each media information set according to the preset target processing number and the quality parameter of each media information set, the method further comprises:

When the history release result comprises a click rate, determining a quality parameter of each media information set in the plurality of media information sets according to the click rate of each media information in the plurality of media information sets, wherein the click rate of each media information is equal to the ratio of the number of clicks after release of each media information to the number of exposures of each media information; or alternatively

When the history release result comprises conversion rate, determining a quality parameter of each media information set in the plurality of media information sets according to the conversion rate of each media information in the plurality of media information sets, wherein the conversion rate of each media information is equal to the ratio of the conversion number of each media information after release to the click number of each media information after release, and the conversion number of each media information after release represents the number of times of executing operations corresponding to each media information after release; or alternatively

3. The method of claim 2, wherein the step of determining the position of the substrate comprises,

the determining the quality parameter of each media information set in the plurality of media information sets according to the click rate of each media information in the plurality of media information sets comprises: determining the quality parameter of each media information set to be equal to the average value of the click rate of each media information in each media information set; or alternatively

The determining a quality parameter of each media information set of the plurality of media information sets according to the conversion rate of each media information of the plurality of media information sets comprises: determining the quality parameter of each media information set to be equal to the average value of the conversion rate of each media information in each media information set; or alternatively

The determining the quality parameter of each media information set in the plurality of media information sets according to the click rate and the conversion rate of each media information in the plurality of media information sets comprises: and determining the quality parameter of each media information set to be equal to the average value of the quality values of each media information in each media information set, wherein the quality value of each media information is equal to the product of the click rate and the conversion rate of each media information.

4. The method according to claim 1, wherein searching for a plurality of media information sets corresponding to the media information distribution request by a plurality of searching methods comprises:

5. The method of claim 4, wherein selecting media information whose consumption parameter satisfies a preset condition from each candidate media information set in the plurality of candidate media information sets, to obtain the plurality of media information sets, comprises:

6. The method of claim 1, wherein determining the number of media information to be selected in each media information set according to the preset target processing number and the quality parameter of each media information set comprises:

determining the proportion of the media information to be selected corresponding to each media information set according to the quality parameters of each media information set;

7. The method of claim 6, wherein determining the proportion of the media information to be selected corresponding to each media information set according to the quality parameter of each media information set comprises:

8. The method of claim 6, wherein determining the total number of media information to be selected based on the target processing number and the quality parameter of each media information set comprises:

wherein num represents the total number of the media information to be selected, num_cut represents the target processing number, per represents a preset proportion, quality _j And the quality parameters of the j-th media information set in the media information sets are represented, the media information sets are N media information sets, N is a positive integer greater than or equal to 2, and history_average_quality represents a historical quality parameter mean value.

9. The method of claim 6, wherein the determining the number of media information to be selected in each media information set according to the total number of media information to be selected and the proportion of media information to be selected corresponding to each media information set comprises:

10. The method according to any one of claims 1 to 9, wherein said determining media information to be published at the target publication location in the plurality of subsets of media information comprises:

11. A processing apparatus for media information, comprising:

the acquisition module is used for acquiring a media information release request, wherein the media information release request is used for requesting to release media information at a target release position;

the searching module is used for responding to the media information release request and searching a plurality of media information sets corresponding to the media information release request through a plurality of preset searching modes, wherein each media information set in the plurality of media information sets is a set of media information obtained through searching through one of the plurality of searching modes;

The first determining module is configured to determine, according to a preset target processing number and a quality parameter of each media information set, a number of media information to be selected in each media information set, where the target processing number represents a number of media information that is allowed to be processed and corresponds to the media information release request, the quality parameter of each media information set is determined according to a historical release result of historical media information in each media information set, and the historical media information is media information obtained by each searching mode before a current time;

the selection module is used for selecting the corresponding number of media information from each media information set according to the number of the media information to be selected in each media information set to obtain a plurality of media information subsets;

and the second determining module is used for determining the media information to be published at the target publishing position in the plurality of media information subsets.

12. The apparatus of claim 11, wherein the second determining module comprises:

13. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program is executable by a terminal device or a computer to perform the method of any one of claims 1 to 10.

14. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method as claimed in any one of claims 1 to 10.

15. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method according to any of the claims 1 to 10 by means of the computer program.