CN111597470A

CN111597470A - Method and device for determining display position of search result

Info

Publication number: CN111597470A
Application number: CN202010423689.4A
Authority: CN
Inventors: 彭宗徽; 张永华
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Beijing ByteDance Network Technology Co Ltd
Priority date: 2020-05-19
Filing date: 2020-05-19
Publication date: 2020-08-28

Abstract

The disclosure provides a method and a device for determining a display position of a search result, wherein the method for determining the display position of the search result comprises the following steps: acquiring the number of times that each media content associated with target search information is displayed and a corresponding historical display position of each media content when the media content is clicked each time when searching is carried out based on the target search information within a latest set time length; determining the click rate corresponding to each media content based on the number of times each media content is displayed within the latest set time length and the corresponding historical display position when each media content is clicked; and determining the display position corresponding to the media content when the current search is carried out based on the target search information based on the click rate corresponding to each media content. The embodiment of the disclosure improves the accuracy of the display position of the recommended media content on the client.

Description

Method and device for determining display position of search result

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for determining a search result display position.

Background

With the development of internet technology, some media clients can provide a large amount of media content to users for viewing, and users can input search information of interest in the media clients and request the media clients to acquire media content associated with the search information.

When the server receives the search information, the server can search the media content related to the search information based on the search information, because the number of the media content stored by the server is large, a large number of media content related to the search information may be recalled, and then the recalled media content is sequenced and sent to the media client for the user to watch.

The media content sorting mode in the related technology is mechanical and simple, the accuracy is low, the media content which is provided for the user and is sorted ahead may not contain articles which are interesting to the user, and the real requirement of the user cannot be met.

Disclosure of Invention

The embodiment of the disclosure at least provides a scheme for determining a display position of a search result, so as to improve the accuracy of the display position of recommended media content at a client.

In a first aspect, an embodiment of the present disclosure provides a method for determining a search result display position, including:

acquiring the number of times that each media content associated with target search information is displayed and a corresponding historical display position of each media content when the media content is clicked each time when searching is carried out based on the target search information within a latest set time length;

determining the click rate corresponding to each media content based on the number of times each media content is displayed within the latest set time length and the corresponding historical display position when each media content is clicked;

and determining the display position corresponding to the media content when the current search is carried out based on the target search information based on the click rate corresponding to each media content.

In a possible implementation manner, the determining, based on the number of times each media content is presented within the most recent set time length and the corresponding historical presentation position at each time of being clicked, a click rate corresponding to the media content includes:

extracting corresponding preset position weights when each display position is clicked when the media content is displayed;

for each media content, carrying out weighted summation on the number of times of clicking the media content each time based on the preset position weight corresponding to the historical display position of the media content when the media content is clicked each time, and obtaining the first number of times of clicking the media content in the latest set time;

and determining the click rate corresponding to the media content based on the first click times of the media content in the latest set time length and the times of the media content being displayed in the latest set time length.

In a possible implementation manner, before determining, based on the number of times each media content is presented within the most recent set time period and the corresponding presentation position at each time of being clicked, the click rate corresponding to each media content, the determining method further includes:

extracting a time interval from a current time each of the media contents is clicked;

determining the click rate corresponding to each media content based on the number of times each media content is displayed within the latest set time length and the corresponding display position when each media content is clicked, including:

and determining the click rate corresponding to each media content based on the number of times each media content is displayed within the latest set time length, the corresponding historical display position when each media content is clicked and the time interval from the current time.

In a possible implementation manner, the determining, based on the number of times each media content is presented within the most recent set time duration, the historical presentation position corresponding to each time of being clicked, and a time interval from the current time, a click rate corresponding to the media content includes:

extracting corresponding preset position weights when each display position is clicked when the media content is displayed, and corresponding preset time weights when each time interval from the current time is clicked;

for each media content, based on a preset position weight corresponding to a historical display position of the media content when the media content is clicked each time and a preset time weight corresponding to a time interval between the media content and the current time when the media content is clicked each time, carrying out weighted summation on the times of clicking the media content each time to obtain a second click time of the media content within the latest set time;

and determining the click rate corresponding to the media content based on the second click times of the media content in the latest set time length and the times of the media content being displayed in the latest set time length.

In a possible implementation manner, before determining, based on the click-through rate corresponding to each of the media contents, a display position corresponding to the media content when a search is performed based on the target search information, the determining method further includes:

obtaining the predetermined correlation degree between each media content and the target search information, the corresponding score of the category to which the client issuing the media content belongs, and the time interval between the issuing time of the media content and the current time;

the determining, based on the click-through rate corresponding to each media content, a display position corresponding to the media content when searching based on the target search information includes:

carrying out weighted summation on the click rate corresponding to each media content, the correlation degree between the media content and the target search information, the corresponding score of the category to which a client issuing the media content belongs, and the time interval between the issuing time of the media content and the current time to determine the sorting score corresponding to each media content;

and determining a display position corresponding to the media content when searching is carried out based on the target searching information at present based on the sorting score corresponding to each media content.

In a possible implementation manner, after determining a display position corresponding to the media content when searching based on the target search information, the determining method further includes:

when a search request sent by a client is received, acquiring search information contained in the search request;

determining target search information corresponding to the search information based on the search information, and extracting a plurality of media contents associated with the target search information and display positions corresponding to the media contents respectively;

and sending the plurality of media contents and the display positions corresponding to the plurality of media contents to a client.

In a second aspect, an embodiment of the present disclosure provides a method for determining a search result display position, including:

acquiring the number of times that each media content associated with target search information is displayed and the time interval from the current time when the media content is clicked each time when searching is carried out based on the target search information within the latest set time length;

determining the click rate corresponding to each media content based on the number of times each media content is displayed within the latest set time length and the time interval from the current time when each media content is clicked;

In a possible implementation manner, the determining, based on the number of times each media content is presented within the most recent set time duration and a time interval from a current time when each media content is clicked, a click rate corresponding to the media content includes:

extracting corresponding preset time weights when the media content is displayed and clicked at each time interval from the current time;

for each media content, carrying out weighted summation on the number of times of clicking the media content each time based on a preset time weight corresponding to a time interval between the time of clicking the media content each time and the current time to obtain a third click number of the media content in the latest set time;

and determining the click rate corresponding to the media content based on the third click times of the media content in the latest set time length and the times of being displayed in the latest set time length.

In a third aspect, an embodiment of the present disclosure provides an apparatus for determining a search result display position, including:

the acquisition module is used for acquiring the number of times that each media content associated with the target search information is displayed and the corresponding historical display position of each media content when the media content is clicked when searching is carried out based on the target search information within the latest set time length;

the first determining module is used for determining the click rate corresponding to each media content based on the number of times each media content is displayed within the latest set time length and the corresponding historical display position when each media content is clicked;

and the second determining module is used for determining the display position corresponding to the media content when the searching is carried out based on the target searching information at present based on the click rate corresponding to each media content.

In a possible implementation manner, the first determining module, when configured to determine the click rate corresponding to each media content based on the number of times that each media content is presented within the most recent set time length and the corresponding historical presentation position at each click, includes:

In a possible implementation manner, before determining, based on the number of times each media content is presented within the last set time period and the corresponding presentation position at each time of being clicked, the click rate corresponding to each media content, the first determining module is further configured to:

the first determining module, when configured to determine, based on the number of times each media content is displayed within the most recent set time period and the corresponding display position at each time of being clicked, a click rate corresponding to the media content, includes:

In a possible implementation manner, the first determining module, when configured to determine the click rate corresponding to each piece of media content based on the number of times that each piece of media content is presented within the last set time period, the historical presentation position corresponding to each click, and a time interval from the current time, includes:

In a possible implementation manner, before determining, based on the click-through rate corresponding to each of the media contents, a display position corresponding to the media content currently being searched based on the target search information, the second determination module is further configured to:

the second determining module, when configured to determine, based on the click rate corresponding to each piece of media content, a display position corresponding to the piece of media content when searching based on the target search information at present, includes:

In a possible implementation manner, the determining apparatus further includes an interaction module, and after determining the display position corresponding to the media content when the search is performed based on the target search information, the interaction module is configured to:

In a fourth aspect, an embodiment of the present disclosure provides an apparatus for determining a search result display position, including:

the acquisition module is used for acquiring the number of times that each media content associated with the target search information is displayed and the time interval from the current time when the media content is clicked each time when searching is carried out based on the target search information within the latest set time length;

the first determining module is used for determining the click rate corresponding to each media content based on the number of times that each media content is displayed within the latest set time length and the time interval from the current time when each media content is clicked;

In a possible implementation manner, the first determining module, when configured to determine the click rate corresponding to each media content based on the number of times that each media content is presented within the most recent set time length and a time interval from a current time when each media content is clicked, includes:

In a fifth aspect, an embodiment of the present disclosure provides an electronic device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when the electronic device is running, the machine-readable instructions when executed by the processor performing the steps of the determination method of the first or second aspect.

In a sixth aspect, the disclosed embodiments provide a computer-readable storage medium having a computer program stored thereon, where the computer program is executed by a processor to perform the steps of the determination method according to the first or second aspect.

In the method for determining a search result display position provided by the embodiment of the present disclosure, a click rate is introduced to determine a display position corresponding to a media content associated with search information when the media content is displayed, that is, the click rate for any media content may be defined as: considering that the probability that the media content in the front of the ranking is clicked by the user is greater than the probability that the media content in the back of the ranking is clicked by the user when the media content is displayed each time, the embodiment of the disclosure provides that when the current display position corresponding to each media content is determined based on the click rate, the history display position corresponding to the media content when the media content is clicked each time in the last set duration can be obtained, and the click rate corresponding to each media content is determined together with the history display position, so that the influence of the display position on the click times when the media content is displayed each time can be reduced, thereby obtaining more accurate click rate, and therefore, when the media content is pushed to the client based on the click rate, the accuracy of the presentation position of the recommended media content at the client can be improved.

In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly described below, and the drawings herein incorporated in and forming a part of the specification illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure. It is appreciated that the following drawings depict only certain embodiments of the disclosure and are therefore not to be considered limiting of its scope, for those skilled in the art will be able to derive additional related drawings therefrom without the benefit of the inventive faculty.

FIG. 1 is a flow chart illustrating a method for determining a search result presentation location according to an embodiment of the present disclosure;

FIG. 2 is a flow chart illustrating a method for determining click rate according to an embodiment of the present disclosure;

FIG. 3 is a flow chart illustrating another method for determining a search result presentation location provided by an embodiment of the present disclosure;

fig. 4 is a schematic diagram illustrating a device for determining a search result presentation position according to an embodiment of the disclosure;

FIG. 5 is a schematic diagram of another apparatus for determining a search result presentation position provided by an embodiment of the present disclosure;

fig. 6 shows a schematic diagram of an electronic device provided by an embodiment of the present disclosure;

fig. 7 shows a schematic diagram of another electronic device provided by an embodiment of the disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. The components of the embodiments of the present disclosure, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without making creative efforts, shall fall within the protection scope of the disclosure.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

For some media clients, media contents with a large number of titles can be provided for users to watch, when users generate search requirements, the media contents can also be searched based on input search information, for example, when users want to watch videos related to tomato fried eggs, the search information of tomato fried eggs can be input in the media clients, so that when the server receives the search information, the media contents related to the search information, such as media contents including tomato, eggs and tomato fried eggs in the media contents, can be searched in a media library, a large number of media contents can be obtained, when recommended media contents are returned to the media clients, the media contents which meet the requirements of the users are displayed at a front position, and how to find media contents suitable for being displayed at the front position, i.e., how to improve the accuracy of the recommendation, is a problem to be studied by the embodiments of the present disclosure.

Based on the above research, the present disclosure provides a method for determining a display position of a search result, where a click through rate is introduced to determine a display position corresponding to media content associated with search information when the media content is displayed, that is, a click through rate for any media content may be defined as follows in a conventional manner: considering that the probability that the media content in the front of the ranking is clicked by the user is greater than the probability that the media content in the back of the ranking is clicked by the user when the media content is displayed each time, the embodiment of the disclosure provides that when the current display position corresponding to each media content is determined based on the click rate, the history display position corresponding to the media content when the media content is clicked each time in the last set duration can be obtained, and the click rate corresponding to each media content is determined together with the history display position, so that the influence of the display position on the click times when the media content is displayed each time can be reduced, thereby obtaining more accurate click rate, and therefore, when the media content is pushed to the client based on the click rate, the accuracy of the presentation position of the recommended media content at the client can be improved.

In order to facilitate understanding of the present embodiment, a detailed description is first given to a method for determining a search result display position disclosed in the embodiments of the present disclosure, where an execution subject of the method for determining a search result display position provided in the embodiments of the present disclosure is generally a computer device with certain computing capability, for example, a server corresponding to a client. The following describes a method for determining a search result display position provided by the embodiment of the present disclosure, taking an execution subject as a server as an example.

Referring to fig. 1, a flowchart of a method for determining a search result display position according to an embodiment of the present disclosure is shown, where the method includes steps S101 to S103, where:

s101, acquiring the number of times each media content associated with the target search information is displayed and the corresponding historical display position of each media content when the media content is clicked each time when searching is carried out based on the target search information within the latest set time length.

The last set time period may be preset, for example, if the click rate is determined every 10 days, the last set time period may be within the last 10 days.

The server may store a large amount of search information, for example, in a history stage, search information with a higher frequency in search information input by a large amount of clients is used as target search information, media content associated with the target search information may be media content including a keyword of the target search information, and for each target search information, a click rate corresponding to the media content associated with each target search information may be determined according to a manner provided by an embodiment of the present disclosure.

Taking the last set time length as the last 10 days as an example, the number of times each media content associated with the target search information is displayed at the client when the client searches based on the target search information within the last 10 days is obtained, and a history display position corresponding to the time when the media content is clicked by the client user during the display, where the history display position is a sorting position in the plurality of media contents when the media content is displayed at the client.

For example, for the media content L associated with the target search information a, if the client performs a search based on the target search information a within the last 10 days, the media content L is presented 3 times, and the corresponding history display position is the 2 nd position when being presented for the 1 st time, the corresponding history display position is the 1 st position when being presented for the 2 nd time, and the corresponding history display position is the 3 rd position when being presented for the 3 rd time, if the media content is clicked and viewed by the user of the client when being presented for the 1 st time and the 2 nd time, what is obtained here is the number of times of being presented 3, and the history display position 2 when being presented for the 1 st time, and the history display position 1 when being presented for the 2 nd time.

S102, determining the click rate corresponding to each media content based on the number of times each media content is displayed within the latest set time length and the corresponding historical display position when each media content is clicked.

The click rate of each media content not only considers the number of times that the media content is displayed within the latest set duration and the click condition when the media content is displayed each time, but also considers the corresponding historical display position when the media content is clicked each time to jointly determine the click rate corresponding to the media content, and the influence of the sequencing position on the click effect when the media content is displayed each time is reduced through the adjustment of the historical display position, so that the click rate corresponding to the media content is accurately obtained, and the specific click rate determining mode will be described in detail later.

S103, determining the display position corresponding to the media content when the current search is carried out based on the target search information based on the click rate corresponding to each media content.

After the click rate corresponding to each media content is obtained, that is, the click rate may be used as a reference factor for determining the current display position corresponding to the media content when searching based on the target search information.

The above is a method for determining a display position of a search result proposed in S101 to S103, where a click through rate is introduced to determine a display position corresponding to a media content associated with search information when the media content is displayed, that is, a click through rate for any media content may be defined as follows in a conventional manner: considering that the probability that the media content in the front of the ranking is clicked by the user is greater than the probability that the media content in the back of the ranking is clicked by the user when the media content is displayed each time, the embodiment of the disclosure provides that when the current display position corresponding to each media content is determined based on the click rate, the history display position corresponding to the media content when the media content is clicked each time in the last set duration can be obtained, and the click rate corresponding to each media content is determined together with the history display position, so that the influence of the display position on the click times when the media content is displayed each time can be reduced, thereby obtaining more accurate click rate, and therefore, when the media content is pushed to the client based on the click rate, the accuracy of the presentation position of the recommended media content at the client can be improved.

The above-mentioned S101 to S103 will be specifically described with reference to specific embodiments.

With respect to the step S102, that is, when determining the click rate corresponding to each media content based on the number of times that each media content is presented within the latest set time length and the corresponding history presentation position at each time of being clicked, as shown in fig. 2, the method may specifically include the following steps S201 to S203:

s201, when the media content is displayed, corresponding preset position weight is extracted when each display position is clicked.

The preset position weight corresponding to each display position when the media content is displayed at the client can be preset, for example, taking 100 pieces of media content pushed to the client by the server each time, that is, corresponding to 100 display positions, the preset position weight corresponding to each display position when the media content is clicked can be set, and the influence of the display positions on the click times can be reduced by setting the preset position weight.

When the media content is displayed, the corresponding preset position weight when each display position is clicked can be determined through a large amount of data counted in advance, for example, the click times corresponding to the media content corresponding to a large amount of search information when the media content is displayed at different positions can be counted, the click times can be determined to be reduced along with the increase of the display position, and based on the rule, the corresponding relation between the proper display position and the preset position weight is counted, so that the influence of the display position on the click times is weakened.

S202, for each media content, based on the preset position weight corresponding to the historical display position of the media content when the media content is clicked each time, the times of clicking the media content each time are weighted and summed, and the first click times of the media content in the latest set time length are obtained.

For example, for any media content, if the number of times that the any media content is displayed at the client in the last 10 days is n, if the any media content is only displayed for the 1 st time, the 2 nd time and the 3 rd time, the user clicks the any media content, and if the any media content is displayed for the 4 th time to the n th time, the user does not click the any media content, where clicking means that the user opens the any media content for watching, if the influence of the history display position on the number of clicks is not considered, the any media content is clicked for 3 times in the last 10 days, if the influence of the history display position on the number of clicks is considered, for example, the preset position weight corresponding to the history display position when the 1 st time is clicked is W₁And the weight of the preset position corresponding to the history display position when the 2 nd click is performed is W₂The weight of the preset position corresponding to the history display position when the 3 rd time is clicked is W₃Then the first click frequency of any media content in the latest set time length at this time is changed into W₁*1+W₂*1+W₃And 1, namely, the number of times of each click is not 1, but the number of times of each click is adjusted through the preset position weight corresponding to each historical display position, so that the first click number of any media content in the latest set time length is obtained.

S203, determining the click rate corresponding to the media content based on the first click times of the media content in the latest set time length and the times of being displayed in the latest set time length.

The click rate corresponding to the media content is obtained by dividing the first click times of the media content in the latest set time length by the number of times of being displayed in the latest set time length.

Specifically, the click rate determination process may also be determined by the following formula (1):

wherein, CTR_q-dIndicating the click through rate, W, of the media content d associated based on the target search information q_iA preset position weight, Click, corresponding to the historical display position when the media content d is displayed for the ith time within the latest set time length_(i)q-dIndicating whether the media content d is clicked (click count 1 and no click count 0) in the searching information q within the latest set time length, Impr_(i)q-dThe representation refers to the number of times (1 each time) that the media content d is presented under the search information q; n indicates that the media content d was presented n times within the last set duration.

Wherein, W_i＝e^-pos(i)Pos (i) here may represent the historical presentation position of the media content d at the ith presentation within the last set time period.

In the above, that is, considering how to accurately determine the click rate corresponding to the media content when the media content is displayed within the last set time period and when the historical display position has an influence on the click times, and in addition, considering that when the display information of the media content associated with the target search information is collected within the last set time period, the display information of the media content at the same time is not the display information of the media content, for example, data of last continuous 10 days is used, so that, for the same media content, when the media content is displayed at different times, the user's preference degrees are different, and therefore the click times corresponding to the media content are also influenced, except for considering the influence of the display position, the embodiment of the present disclosure also provides how to accurately determine the click rate corresponding to the media content when the display time has an influence on the click times, which is specifically as follows.

The embodiment of the present disclosure provides that before determining the click rate corresponding to each media content based on the number of times each media content is displayed within a most recent set time length and the corresponding display position when each media content is clicked, the method further includes:

the time interval of each media content from the current time each time it is clicked is extracted.

The unit of the time interval from the current time may be preset, such as in days, that is, the number of days from the current time when each media content is clicked is determined.

Specifically, when determining the click rate corresponding to each media content based on the number of times that each media content is displayed within the last set time length and the corresponding display position at each time of being clicked, the method may include:

Here, when determining the click rate corresponding to the media content, the influence of the historical display position and the time interval from the current time on the number of clicks is comprehensively considered, and the specific processes are as follows (1) to (3):

(1) and extracting corresponding preset position weights when each display position is clicked when the media content is displayed, and corresponding preset time weights when each time interval from the current time is clicked.

When the extracted media content is displayed, the corresponding preset position weight when each display position is clicked is described in detail above, and is not described herein again.

Here, preset position weights corresponding to time intervals from the current time when the media content is displayed at the client side may be preset according to statistics, for example, in units of days, where the preset position weights corresponding to time intervals from the current time being 1 day, the preset time weights corresponding to time intervals from the current time being 2 days, and the like are extracted, and then the influence of time on the number of clicks is reduced by setting the preset time weights.

When the media content is displayed, the preset time weight corresponding to each time interval from the current time when the media content is clicked can be determined through a large amount of pre-counted data, for example, the number of clicks corresponding to the media content corresponding to a large amount of search information when the media content is displayed at a time interval different from the current time can be counted, the number of clicks can be determined to be reduced along with the increase of the display position, and based on the rule, the corresponding relation between the proper time interval and the preset time weight is counted, so that the influence of the display time on the number of clicks can be weakened.

(2) And for each media content, carrying out weighted summation on the number of times of each click of the media content based on the preset position weight corresponding to the historical display position of the media content when the media content is clicked each time and the preset time weight corresponding to the time interval between the media content and the current time when the media content is clicked each time, so as to obtain the second number of times of the click of the media content in the latest set time.

For example, for any media content, if the number of times that the any media content is displayed at the client in the last 10 days is n, if the any media content is displayed only in the 1 st time, the 2 nd time and the 3 rd time, the user clicks the any media content, and if the any media content is displayed in the 4 th to the n th times, the user does not click the any media content, where clicking means that the user opens the any media content for watching, if the influence of the history display position and the display time on the number of clicks is not considered, the any media content is clicked 3 times in the last 10 days, if the influence of the history display position and the display time on the number of clicks is considered, such as the influence of the history display position and the display time on the number of clicks in the 1 st time, for exampleThe weight of the preset position corresponding to the historical display position is W₁And the preset time weight corresponding to the time interval from the current time when the 1 st click is performed is H₁And the weight of the preset position corresponding to the history display position when the 2 nd click is performed is W₂And the preset time weight corresponding to the time interval from the current time when the 2 nd click is performed is H₂The weight of the preset position corresponding to the history display position when the 3 rd time is clicked is W₃And the preset time weight corresponding to the time interval from the current time when the 3 rd click is performed is H₃Then the first click frequency of any media content in the latest set time length at this time is changed into W₁*H₁*1+W₂*H₂*1+W₃*H₃And 1, namely, the number of times of each click is not 1, but the number of times of each click is adjusted through the preset position weight corresponding to each historical display position and the preset time weight corresponding to the time interval from the current time, so that the second click number of any media content in the latest set time length is obtained.

(3) And determining the click rate corresponding to the media content based on the second click times of the media content in the latest set time length and the times of being displayed in the latest set time length.

The click rate corresponding to the media content is obtained by dividing the second click frequency of the media content in the latest set time length by the number of times of being displayed in the latest set time length.

After the preset position weight and the preset time weight are obtained, the number of times of clicking each time can be weighted and summed based on the two parameters, and the number can be specifically determined by the following formula (2);

wherein H_iRepresenting the preset time weight corresponding to the time interval between the ith displayed time and the current time within the latest set time length of the media content d; h_i＝e^{-α*duration(i)}Du hereinThe ratio (i) may represent the time interval between the ith presentation and the current time within the last set time period, α is a fixed parameter value obtained through a plurality of experiments.

In another embodiment provided by the embodiment of the present disclosure, before determining, based on a click rate corresponding to each media content, a display position corresponding to the media content when searching based on target search information at present, the method for determining provided by the embodiment of the present disclosure further includes:

and acquiring the predetermined correlation between each media content and the target search information, the corresponding score of the category to which the client issuing the media content belongs, and the time interval between the issuing time and the current time of the media content.

The correlation degree between each media content and the target search information can be determined based on a pre-trained neural network, and the training can be performed based on a large number of samples collected in advance when the neural network is trained, wherein the samples comprise a plurality of search information and the media content associated with each search information, the media content associated with each search information is marked with the correlation degree with the search information, and the neural network for determining the correlation degree between each media content and the associated search information can be obtained based on the training.

After obtaining each media content associated with the target search information, the server may determine and store a degree of correlation between the target search information and each media content based on a pre-trained neural network, and when a display position corresponding to the media content currently searched based on the target search information needs to be determined, obtain a degree of correlation between each media content stored in advance and the target search information.

The category to which the client issuing the media content belongs refers to a category to which the client issuing the media content belongs among a plurality of preset client categories, for example, the client can be classified in advance according to client behavior data, for example, the client issuing the media content with the quantity smaller than a first set threshold is an a-type client, the client issuing the media content with the quantity greater than or equal to the first set threshold and smaller than a second set threshold is a B-type client, the client issuing the media content with the quantity greater than or equal to the second set threshold is a C-type client, and corresponding scores are allocated to the clients of each category, where it is considered that the client issuing the media content with the larger quantity has a larger attention degree relative to the client issuing the smaller quantity of the media content, and the media content issued by the client having the larger attention degree can be displayed on the client by data statistics, the probability of clicking by the user is higher, so that the user requirement is better met if the display position of the media content is arranged in front when the client displays the media content.

Here, the time interval between the release time and the current time of the media content may affect the freshness of the media content, and when the media content with higher freshness is displayed at the client, the probability of clicking by the user is higher, so that if the display position of the media content with higher freshness is moved forward when the client displays, the user requirement is better met.

Specifically, when determining the display position corresponding to the media content when searching based on the target search information based on the click rate corresponding to each media content, the method may include:

(1) and carrying out weighted summation on the click rate corresponding to each media content, the correlation degree between the media content and the target search information, the corresponding score of the category to which the client issuing the media content belongs, and the time interval between the issuing time of the media content and the current time to determine the sorting score corresponding to each media content.

Specifically, here, a weight corresponding to the click rate, a weight corresponding to the degree of correlation, a weight corresponding to the score of the category to which the client belongs, and a weight corresponding to the time interval between the release time and the current time may be determined in advance based on data statistics, and then the click rate corresponding to each media content, the degree of correlation between the media content and the target search information, the corresponding score of the category to which the client that releases the media content belongs, and the time interval between the release time of the media content and the current time may be weighted and summed based on these weights, so as to obtain the ranking score corresponding to each media content.

(2) And determining a display position corresponding to the media content when searching is carried out based on the target searching information at present based on the sorting score corresponding to each media content.

After the ranking score corresponding to each media content is obtained, the display position corresponding to the media content when searching is performed based on the target search information is determined based on the ranking score corresponding to each media content, and then the display position is stored.

In one embodiment, after determining a display position corresponding to the media content when searching based on the target search information, the determining method provided by the embodiment of the present disclosure further includes:

(1) and when receiving a search request sent by a client, acquiring search information contained in the search request.

Here, the search information may refer to a search word input by a user at the client for searching for related media content.

(2) And determining target search information corresponding to the search information based on the search information, and extracting a plurality of media contents associated with the target search information and display positions corresponding to the plurality of media contents respectively.

After receiving the search information sent by the client, the server may determine target search information matching the search information based on a keyword included in the search information and a keyword in each target search information stored in advance, for example, search for the target search information matching the search information based on similarity, and then extract a plurality of media contents and display positions corresponding to the plurality of media contents from the media contents associated with the target search information.

In this case, when extracting a plurality of media contents from the media contents associated with the target search information, the attribute information of the client may be considered to be extracted, and specifically, the attribute information of the client may include the age, gender, region, and the like of the user on the client side.

(3) And sending the display positions corresponding to the plurality of media contents and the plurality of media contents to the client.

The embodiment of the present disclosure further provides a method for determining a search result display position, as shown in fig. 3, the method may specifically include the following steps S301 to S303:

s301, acquiring the number of times each media content associated with the target search information is displayed and the time interval from the current time when the media content is clicked each time when searching is carried out based on the target search information within the latest set time length.

S302, determining the click rate corresponding to each media content based on the number of times each media content is displayed within the latest set time length and the time interval from the current time when each media content is clicked;

s303, based on the click rate corresponding to each media content, determining the display position corresponding to the media content when searching is carried out based on the target search information.

In the above, a process of accurately determining the click rate corresponding to the media content when the media content is displayed within the latest set time length and the click times are influenced by the display time is considered.

The disclosed embodiment provides that when the current display position corresponding to each media content is determined based on the click rate, the time interval from the current time when the media content is clicked each time within the latest set time length can be obtained, and the click rate corresponding to each media content is determined by combining the time interval, so that the influence of the display time on the click times when the media content is displayed each time can be reduced, and a more accurate click rate is obtained.

Specifically, when determining the click rate corresponding to each media content based on the number of times that each media content is presented within the latest set time length and the time interval from the current time when each media content is clicked, the method may include:

(1) extracting corresponding preset time weights when the media content is displayed and clicked at each time interval from the current time;

(2) for each media content, carrying out weighted summation on the number of times of clicking the media content each time based on a preset time weight corresponding to a time interval between the time of clicking the media content each time and the current time to obtain a third click number of the media content in a latest set time length;

(3) and determining the click rate corresponding to the media content based on the third click times of the media content in the latest set time length and the times of being displayed in the latest set time length.

Here, the click rate corresponding to the media content may be determined according to the following formula (3):

wherein H_iRepresenting the preset time weight corresponding to the time interval between the ith displayed time and the current time within the latest set time length of the media content d; h_i＝e^{-α*duration(i)}Duration (i) may represent the time interval between the ith presentation and the current time within the last set duration, α is a fixed parameter value obtained through a plurality of experiments.

The subsequent processes of this embodiment, such as the process of step S303, are similar to those described above, and are not described again here.

It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.

Based on the same technical concept, a determination device corresponding to the determination method is further provided in the embodiment of the present disclosure, and since the principle of solving the problem of the device in the embodiment of the present disclosure is similar to that of the determination method in the embodiment of the present disclosure, the implementation of the device may refer to the implementation of the method, and repeated details are not repeated.

Referring to fig. 4, a schematic diagram of a device 400 for determining a search result display position according to an embodiment of the present disclosure is provided, where the device includes: an acquisition module 401, a first determination module 402 and a second determination module 403.

The acquiring module 401 is configured to acquire the number of times each media content associated with target search information is displayed and a corresponding historical display position of each media content when the media content is clicked each time when searching is performed based on the target search information within a latest set time;

a first determining module 402, configured to determine, based on the number of times each media content is displayed within a latest set time length and a corresponding historical display position each time the media content is clicked, a click rate corresponding to the media content;

a second determining module 403, configured to determine, based on the click rate corresponding to each media content, a display position corresponding to the media content when searching is performed based on the target search information.

In one possible implementation, the first determining module 402, when configured to determine the click rate corresponding to each media content based on the number of times that each media content was presented within the last set time period and the corresponding historical presentation position at each time of being clicked, includes:

and determining the click rate corresponding to the media content based on the first click times of the media content in the latest set time length and the times of being displayed in the latest set time length.

In a possible implementation manner, before determining the click rate corresponding to each media content based on the number of times that the media content was presented within the last set time length and the corresponding presentation position at each time of being clicked, the first determining module 402 is further configured to:

extracting a time interval from the current time when each media content is clicked each time;

the first determining module 402, when configured to determine the click rate corresponding to each media content based on the number of times that each media content is displayed within the last set time length and the corresponding display position at each time of being clicked, includes:

In one possible implementation, the first determining module 402, when configured to determine the click rate corresponding to each media content based on the number of times that each media content was presented within the last set time period, the corresponding historical presentation position at each click, and the time interval from the current time, includes:

and determining the click rate corresponding to the media content based on the second click times of the media content in the latest set time length and the times of being displayed in the latest set time length.

In a possible implementation manner, before determining, based on the click-through rate corresponding to each media content, a display position corresponding to the media content when the search is performed based on the target search information, the second determining module 403 is further configured to:

obtaining the predetermined correlation degree between each media content and target search information, the corresponding score of the category to which a client issuing the media content belongs, and the time interval between the issuing time of the media content and the current time;

the second determining module 403, when configured to determine, based on the click rate corresponding to each media content, a display position corresponding to the media content when searching based on the target search information at present, includes:

carrying out weighted summation on the click rate corresponding to each media content, the correlation degree between the media content and the target search information, the corresponding score of the category to which the client issuing the media content belongs, and the time interval between the issuing time of the media content and the current time to determine the sorting score corresponding to each media content;

In a possible implementation manner, the determining apparatus further includes an interaction module 304, and after determining the display position corresponding to the media content currently being searched based on the target search information, the interaction module 304 is configured to:

determining target search information corresponding to the search information based on the search information, and extracting a plurality of media contents associated with the target search information and display positions corresponding to the plurality of media contents;

and sending the display positions corresponding to the plurality of media contents and the plurality of media contents to the client.

Referring to fig. 5, a schematic diagram of another apparatus 500 for determining a search result display position provided in the embodiment of the present disclosure is shown, where the apparatus includes: an acquisition module 501, a first determination module 502, and a second determination module 503.

An obtaining module 501, configured to obtain, when a search is performed based on target search information within a recently set time duration, a number of times that each media content associated with the target search information is displayed and a time interval from a current time when the media content is clicked each time;

a first determining module 502, configured to determine, based on the number of times each media content is displayed within a latest set time length and a time interval from a current time when each media content is clicked, a click rate corresponding to the media content;

the second determining module 503 is configured to determine, based on the click rate corresponding to each media content, a display position corresponding to the media content when searching is performed based on the target search information.

In one possible implementation, the first determining module 502, when configured to determine the click rate corresponding to each media content based on the number of times that each media content is presented within the last set time length and the time interval from the current time when each media content is clicked, includes:

for each media content, carrying out weighted summation on the number of times of clicking the media content each time based on a preset time weight corresponding to a time interval between the time of clicking the media content each time and the current time to obtain a third click number of the media content in a latest set time length;

Corresponding to the determination method in fig. 1, an embodiment of the present disclosure further provides an electronic device 600, as shown in fig. 6, which is a schematic structural diagram of the electronic device 600 provided in the embodiment of the present disclosure, and includes:

a processor 61, a memory 62, and a bus 63; the memory 62 is used for storing execution instructions and includes a memory 621 and an external memory 622; the memory 621 is also referred to as an internal memory, and is used for temporarily storing the operation data in the processor 61 and the data exchanged with the external memory 622 such as a hard disk, the processor 61 exchanges data with the external memory 622 through the memory 621, and when the electronic device 600 operates, the processor 61 communicates with the memory 62 through the bus 63, so that the processor 61 executes the following instructions:

acquiring the number of times that each media content associated with target search information is displayed and a corresponding historical display position of each clicked media content when searching based on the target search information within a latest set time length;

and determining a display position corresponding to the media content when searching is carried out based on the target searching information at present based on the click rate corresponding to each media content.

In one possible implementation, the instructions executed by the processor 61 include:

In one possible embodiment, before determining the click rate corresponding to each media content based on the number of times that the media content was presented within the last set time period and the corresponding presentation position at each click, the instructions executed by the processor 61 further include:

the instructions executed by the processor 61 include:

In a possible implementation manner, before determining, based on the click-through rate corresponding to each media content, a display position corresponding to the media content currently being searched based on the target search information, the instructions executed by the processor 61 further include:

the instructions executed by the processor 61 further include:

In a possible implementation, after determining the display position corresponding to the media content currently being searched based on the target search information, the instructions executed by the processor 61 further include:

Corresponding to the determination method in fig. 3, an embodiment of the present disclosure further provides an electronic device 700, as shown in fig. 7, which is a schematic structural diagram of the electronic device 700 provided in the embodiment of the present disclosure, and includes:

a processor 71, a memory 72, and a bus 73; the memory 72 is used for storing execution instructions and includes a memory 721 and an external memory 722; the memory 721 is also referred to as an internal memory, and is used for temporarily storing the operation data in the processor 71 and the data exchanged with the external memory 722 such as a hard disk, the processor 71 exchanges data with the external memory 722 through the memory 721, and when the electronic device 700 is operated, the processor 71 communicates with the memory 72 through the bus 73, so that the processor 71 executes the following instructions:

In one possible implementation, the instructions executed by the processor 71 include:

The embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the determining method described in the above method embodiments. The storage medium may be a volatile or non-volatile computer-readable storage medium.

The computer program product of the determination method provided in the embodiments of the present disclosure includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the steps of the determination method described in the above method embodiments, which may be referred to specifically for the above method embodiments, and are not described herein again.

The embodiments of the present disclosure also provide a computer program, which when executed by a processor implements any one of the methods of the foregoing embodiments. The computer program product may be embodied in hardware, software or a combination thereof. In an alternative embodiment, the computer program product is embodied in a computer storage medium, and in another alternative embodiment, the computer program product is embodied in a Software product, such as a Software Development Kit (SDK), or the like.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present disclosure, which are used for illustrating the technical solutions of the present disclosure and not for limiting the same, and the scope of the present disclosure is not limited thereto, and although the present disclosure is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive of the technical solutions described in the foregoing embodiments or equivalent technical features thereof within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present disclosure, and should be construed as being included therein. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. A method for determining a search result display position is characterized by comprising the following steps:

2. The method for determining according to claim 1, wherein the determining the click rate corresponding to each media content based on the number of times that each media content is presented within the most recent set time period and the corresponding historical presentation position at each time of being clicked comprises:

3. The method of claim 1, wherein before determining the click-through rate corresponding to each media content based on the number of times that the media content was presented within the most recent set duration and the corresponding presentation position at each click-through, the method further comprises:

4. The method for determining according to claim 3, wherein the determining the click rate corresponding to each media content based on the number of times that each media content is presented within the most recent set time period, the corresponding historical presentation position at each click, and the time interval from the current time comprises:

5. The method according to any one of claims 1 to 4, wherein before determining, based on the click-through rate corresponding to each of the media contents, a presentation position corresponding to the media content currently being searched based on the target search information, the method further comprises:

6. The method of claim 1, wherein after determining the display location corresponding to the media content currently being searched based on the target search information, the method further comprises:

7. A method for determining a search result display position is characterized by comprising the following steps:

8. The method of claim 7, wherein determining the click rate corresponding to each media content based on the number of times that the media content was presented within the most recent set duration and the time interval from the current time at each click comprises:

9. An apparatus for determining a search result presentation position, comprising:

10. An apparatus for determining a search result presentation position, comprising:

11. An electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when the electronic device is operating, the machine-readable instructions when executed by the processor performing the steps of the determination method according to any one of claims 1 to 8.

12. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, performs the steps of the determination method according to one of claims 1 to 8.