CN112200643B

CN112200643B - Article information pushing method and device, electronic equipment and computer readable medium

Info

Publication number: CN112200643B
Application number: CN202011414219.8A
Authority: CN
Inventors: 陈华良
Original assignee: Beijing Missfresh Ecommerce Co Ltd
Current assignee: Beijing Missfresh Ecommerce Co Ltd
Priority date: 2020-12-07
Filing date: 2020-12-07
Publication date: 2021-03-23
Anticipated expiration: 2040-12-07
Also published as: CN112200643A

Abstract

The embodiment of the disclosure discloses an article information pushing method and device, electronic equipment and a computer readable medium. One embodiment of the method comprises: acquiring article circulation information of each article in an article group to be recommended to obtain an article circulation information set, wherein the article circulation information comprises an article quality guarantee attribute value; selecting an article quality guarantee attribute value which is greater than or equal to a preset threshold value from article quality guarantee attribute values included in article circulation information in an article circulation information set as a target article quality guarantee attribute value to obtain a target article quality guarantee attribute value set; determining the article circulation information corresponding to each quality guarantee attribute value in the target article quality guarantee attribute value groups as the information of the articles to be recommended to obtain an information group of the articles to be recommended; generating an item information recommendation table based on the item information group to be recommended; and sending the item information recommendation table to a display device with a display function so as to facilitate the user to browse. The implementation mode improves the experience of the user browsing the article information and reduces the loss of the platform user flow.

Description

Article information pushing method and device, electronic equipment and computer readable medium

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to an article information pushing method, an article information pushing device, electronic equipment and a computer readable medium.

Background

With the development of internet technology and the arrival of the e-commerce era, more and more shopping platforms appear. The shopping platform will generally push item information of items with higher sales to the user to improve the user experience.

However, the method of pushing the item information of the higher sales items to the user may have the following technical problems:

firstly, the influence of the quality guarantee attribute value of the article on the user experience is not considered, so that the user experience is poor when the user browses article circulation information with a low quality guarantee attribute value of the article, and the loss of user flow is caused;

secondly, the influence of various factors on the item recommendation result cannot be considered comprehensively, the accuracy of the generated item recommendation score value is not high, the recommended item is difficult to meet the requirements of the user, the shopping experience of the user is reduced, and therefore the flow of the platform user is lost.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose an item information pushing method, apparatus, electronic device and computer readable medium to solve one or more of the technical problems mentioned in the above background section.

In a first aspect, some embodiments of the present disclosure provide an item information pushing method, including: acquiring article circulation information of each article in an article group to be recommended to obtain an article circulation information set, wherein the article circulation information comprises an article quality guarantee attribute value; selecting an article quality guarantee attribute value which is greater than or equal to a preset threshold value from the article quality guarantee attribute values included in the article circulation information set to serve as a target article quality guarantee attribute value, and obtaining a target article quality guarantee attribute value set; determining the article circulation information corresponding to each quality guarantee attribute value in the target article quality guarantee attribute value groups as the information of the articles to be recommended to obtain an information group of the articles to be recommended; generating an article information recommendation table based on the article information group to be recommended; and sending the item information recommendation table to a display device with a display function so as to facilitate browsing of a user.

In some embodiments, the generating an item recommendation score value based on the score adjustment value, the item information click rate, the item information browsing amount, the target value transfer streaming rate corresponding to the target item recommendation information, the item streaming rate included in the target item recommendation information, the item circulation score value, and the item quality assurance attribute value includes:

generating an item recommendation score value through a formula:

，

wherein,

a value of the item recommendation rating is indicated,

indicating the click quantity of the item information,

the information browsing amount of the article is represented,

represents the base of a natural logarithmic function,

representing the target value transfer turnover rate,

indicating the amount of the flow of the article,

a value indicative of an adjustment to the score,

represents a value of a quality assurance attribute of the item,

a value representing the item flow score,

the amount of the article flowing is shown,

indicating a rounding down operation.

In a second aspect, some embodiments of the present disclosure provide an article information pushing device, including: the system comprises an acquisition unit, a recommendation unit and a recommendation unit, wherein the acquisition unit is configured to acquire article circulation information of each article in an article group to be recommended to obtain an article circulation information set, and the article circulation information comprises an article quality guarantee attribute value; a selecting unit configured to select an article quality assurance attribute value greater than or equal to a predetermined threshold value from the article quality assurance attribute values included in the article circulation information sets to obtain a target article quality assurance attribute value set; the determining unit is configured to determine the article circulation information corresponding to each quality guarantee attribute value in the target article quality guarantee attribute value groups as the information of the articles to be recommended, and obtain an information group of the articles to be recommended; a generating unit configured to generate an item information recommendation table based on the item information group to be recommended; and the sending unit is configured to send the item information recommendation table to a display device with a display function so as to facilitate browsing of a user.

In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantages: by the item information pushing method of some embodiments of the present disclosure, the experience of the user browsing item information is improved, and the loss of user traffic is reduced. Specifically, the inventors found that the reason for the loss of user traffic is: the influence of the quality guarantee attribute value on the user experience is not considered, so that the user experience is poor when the user browses the article circulation information with the lower quality guarantee attribute value, and the loss of user flow is caused. Based on this, according to the article information pushing method of some embodiments of the present disclosure, first, article circulation information of each article in an article group to be recommended may be obtained, so as to obtain an article circulation information set. Wherein the article circulation information comprises an article quality assurance attribute value. Thus, the quality guarantee attribute value of each item to be recommended can be preliminarily known. Then, an article quality assurance attribute value greater than or equal to a predetermined threshold value may be selected from the article quality assurance attribute values included in the article circulation information sets as a target article quality assurance attribute value, so as to obtain a target article quality assurance attribute value set. Therefore, the article circulation information with low article quality guarantee attribute value can be prevented from being pushed to the user. Then, the article circulation information corresponding to each of the quality guarantee attribute values of the target articles in the quality guarantee attribute value groups can be determined as the information of the articles to be recommended. Finally, an item information recommendation table is generated to be sent to a display device with a display function so as to be browsed by a user. Therefore, the experience of browsing the article information by the user is improved. Furthermore, the loss of user traffic is reduced.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

Fig. 1 is a schematic diagram of one application scenario of an item information push method according to some embodiments of the present disclosure;

fig. 2 is a flow diagram of some embodiments of an item information push method according to the present disclosure;

fig. 3 is a flow chart of further embodiments of an item information push method according to the present disclosure;

fig. 4 is a schematic structural diagram of some embodiments of an item information pushing device according to the present disclosure;

FIG. 5 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 is a schematic diagram of an application scenario of an item information pushing method according to some embodiments of the present disclosure.

In the application scenario of fig. 1, first, the computing device 101 may obtain item circulation information of each item in an item group to be recommended, resulting in an item circulation information set 102. Wherein the article circulation information comprises an article quality assurance attribute value. Next, computing device 101 may select an item shelf-life attribute value greater than a predetermined threshold from the individual item shelf-life attribute values included in the individual item flow information in item flow information set 102 as a target item shelf-life attribute value, resulting in a target item shelf-life attribute value set 103. Next, the computing device 101 may determine the item circulation information corresponding to each of the quality assurance attribute values of the target items in the target item quality assurance attribute value set 103 as the information of the items to be recommended, to obtain an information set 104 of the items to be recommended. Then, the computing device 101 may generate an item information recommendation table 105 based on the item information group to be recommended 104. Finally, the computing device 101 may send the item information recommendation table 105 to the display device 106 having a display function for the user to browse.

The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.

It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.

With continued reference to fig. 2, a flow 200 of some embodiments of an item information push method according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The item information pushing method comprises the following steps:

step 201, obtaining article circulation information of each article in an article group to be recommended to obtain an article circulation information set.

In some embodiments, an executing subject (e.g., the computing device 101 shown in fig. 1) of the item information pushing method may obtain item circulation information of each item in an item group to be recommended from a terminal through a wired connection manner or a wireless connection manner, so as to obtain an item circulation information set. Wherein the article circulation information comprises an article quality assurance attribute value. Here, the item shelf-life property value may be a length of shelf life of the item (e.g., the shelf life of item a is 10 days, i.e., the item shelf-life property value of item a is 10). Optionally, the article circulation information may further include an article value transfer attribute value, an article circulation attribute value, an article information click quantity, an article information browsing quantity, an article circulation quantity, and an article circulation score value. Optionally, the item circulation information may further include an item name. Here, the item value transfer attribute value may refer to an item's incoming value attribute value (e.g., cost price, unit may be an element). Here, the item circulation attribute value may refer to a value attribute value (for example, a selling price, a unit may be an element) of the circulated item. Here, the item information click amount may represent the number of times a web link of the item information is clicked. Here, the item information browsing amount may represent the number of times the item information is browsed by the user. Here, the article circulation amount may refer to the number of articles circulated (for example, the selling of the article a is 10 pieces, i.e., the article circulation amount of the article a is 10). Here, the item flow score value may be a score value for an item.

As an example, the item circulation information for item a may be: { [ item name: apple ]; [ value transfer attribute value of article: 10 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 50 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 20 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 9]}. The article circulation information of article B may be: { [ item name: banana ]; [ value transfer attribute value of article: 9 ]; [ article circulation attribute value: 12 ]; [ item information click volume: 40 ]; [ item information browsing amount: 60 ]; [ article runoff amount: 15 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 10]}. The article circulation information of article C may be: { [ item name: orange ]; [ value transfer attribute value of article: 12 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 45 ]; [ item information browsing amount: 60 ]; [ article runoff amount: 30 ]; [ article circulation score value: 8 ]; [ quality assurance attribute value of article: 7]}. The article circulation information of article D may be: { [ item name: watermelon ]; [ value transfer attribute value of article: 12 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 45 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 25 ]; [ article circulation score value: 10 ]; [ quality assurance attribute value of article: 10]}. Obtaining an article circulation information set:

{ [ item name: apple ]; [ value transfer attribute value of article: 10 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 50 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 20 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 9] };

{ [ item name: banana ]; [ value transfer attribute value of article: 9 ]; [ article circulation attribute value: 12 ]; [ item information click volume: 40 ]; [ item information browsing amount: 60 ]; [ article runoff amount: 15 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 10] };

{ [ item name: orange ]; [ value transfer attribute value of article: 12 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 45 ]; [ item information browsing amount: 60 ]; [ article runoff amount: 30 ]; [ article circulation score value: 8 ]; [ quality assurance attribute value of article: 7] };

{ [ item name: watermelon ]; [ value transfer attribute value of article: 12 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 45 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 25 ]; [ article circulation score value: 10 ]; [ quality assurance attribute value of article: 10]}.

Step 202, selecting an article quality guarantee attribute value greater than or equal to a predetermined threshold value from the article quality guarantee attribute values included in the article circulation information set as a target article quality guarantee attribute value, and obtaining a target article quality guarantee attribute value set.

In some embodiments, the execution subject may select, as the target item quality assurance attribute value, an item quality assurance attribute value greater than a predetermined threshold from among the item quality assurance attribute values included in the item circulation information sets, to obtain the target item quality assurance attribute value set. Here, the predetermined threshold may be a preset numerical value. For example, the predetermined threshold may be "9". Thus, the recommendation of the article information with too low a good evaluation rate can be avoided.

As an example, an item quality assurance attribute value greater than or equal to a predetermined threshold value "8" may be selected as a target item quality assurance attribute value from the individual item quality assurance attribute values included in the individual item flow information in the item flow information set shown in step 201, resulting in a target item quality assurance attribute value set: [ quality assurance attribute value of article: 9 ]; [ quality assurance attribute value of article: 10 ]; [ quality assurance attribute value of article: 10].

Step 203, determining the article circulation information corresponding to each quality guarantee attribute value in the target article quality guarantee attribute value groups as the information of the articles to be recommended, so as to obtain an information group of the articles to be recommended.

In some embodiments, the execution subject may determine, as the to-be-recommended item information, item circulation information corresponding to each of the target item quality assurance attribute values in the target item quality assurance attribute value groups, to obtain the to-be-recommended item information group.

As an example, the set of target item shelf-life attribute values may be: [ quality assurance attribute value of article: 9 ]; [ quality assurance attribute value of article: 10 ]; [ quality assurance attribute value of article: 10]. Item 1 [ quality assurance attribute value: 9] the corresponding article circulation information is { [ article name: apple ]; [ value transfer attribute value of article: 10 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 50 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 20 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 9]}. Item 2 [ quality assurance attribute value: 10, the corresponding article circulation information is { [ article name: banana ]; [ value transfer attribute value of article: 9 ]; [ article circulation attribute value: 12 ]; [ item information click volume: 40 ]; [ item information browsing amount: 60 ]; [ article runoff amount: 15 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 10]}. Item No. 3 [ item quality attribute value: 10, the corresponding article circulation information is { [ article name: watermelon ]; [ value transfer attribute value of article: 12 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 45 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 25 ]; [ article circulation score value: 10 ]; [ quality assurance attribute value of article: 10]}. Obtaining an information group of the article to be recommended:

And step 204, generating an item information recommendation table based on the item information group to be recommended.

In some embodiments, the execution subject may establish an empty table, and input each item information to be recommended in the item information group to be recommended into the empty table, respectively, to generate an item information recommendation table.

As an example, the information group of the item to be recommended may be:

Inputting each item information to be recommended in the item information group to be recommended into the empty table respectively to generate an item information recommendation table:

step 205, sending the item information recommendation table to a display device with a display function so that a user can browse the item information recommendation table.

In some embodiments, the execution subject may send the item information recommendation table to a display device having a display function for a user to browse.

As an example, the above item information recommendation table may be transmitted to a display device "001" having a display function for the user to browse.

With further reference to fig. 3, a flow 300 of further embodiments of an item information push method according to the present disclosure is shown. The method may be performed by the computing device 101 of fig. 1. The item information pushing method comprises the following steps:

step 301, obtaining article circulation information of each article in an article group to be recommended to obtain an article circulation information set.

Step 302, selecting an article quality assurance attribute value greater than or equal to a predetermined threshold value from the article quality assurance attribute values included in the article circulation information sets to serve as a target article quality assurance attribute value, so as to obtain a target article quality assurance attribute value set.

Step 303, determining the article circulation information corresponding to each quality guarantee attribute value in the target article quality guarantee attribute value sets as the information of the articles to be recommended, so as to obtain an information set of the articles to be recommended.

In some embodiments, the specific implementation manner and technical effects of

steps

301 and 303 can refer to

steps

201 and 203 in the embodiments corresponding to fig. 2, which are not described herein again.

Step 304, determining the ratio of the item value transfer attribute value and the item circulation attribute value included in each item information to be recommended in the item information group to be recommended as a value transfer circulation rate, so as to obtain a value transfer circulation rate group.

In some embodiments, the execution subject may determine, as the value transfer diversion rate, a ratio of an item value transfer attribute value and an item diversion attribute value included in each item information to be recommended in the item information group to be recommended, to obtain the value transfer diversion rate group. Here, the value of the value transfer slew rate may be retained to two significant digits after the decimal point.

As an example, the information group of the item to be recommended may be:

The ratio "0.66" of the item value transfer attribute value "10" and the item circulation attribute value "15" included in the 1 st to-be-recommended item information may be determined as the value transfer circulation rate. The value transfer flow rate may be determined as a ratio "0.75" of the item value transfer attribute value "9" and the item flow attribute value "12" included in the 2 nd to-be-recommended item information. The ratio "0.8" of the item value transfer attribute value "12" and the item circulation attribute value "15" included in the 3 rd to-be-recommended item information may be determined as the value transfer circulation rate. The value transfer turnover number group "0.66, 0.75, 0.8" was obtained.

And 305, generating a target item recommendation information group based on the value transfer transition rate group and the item information group to be recommended.

In some embodiments, based on the value transfer drift rate group and the to-be-recommended item information group, the execution subject may generate a target item recommendation information group by:

and step one, selecting the value transfer conversion rate meeting the preset conditions from the value transfer conversion rate group as a target value transfer conversion rate to obtain a target value transfer conversion rate group. Here, the preset condition may satisfy a condition required by the scheme. For example, the preset condition may be "value transfer turnover greater than 0.72".

As an example, a value transfer slip ratio meeting a preset condition "value transfer slip ratio is greater than 0.72" is selected as a target value transfer slip ratio from the above-mentioned value transfer slip ratio group "0.66, 0.75, 0.8", resulting in a target value transfer slip ratio group "0.75, 0.8".

And secondly, determining the information of the to-be-recommended articles corresponding to each target value transfer rate in the target value transfer rate group as target article recommendation information to obtain a target article recommendation information group.

As an example, the target value transfer slew rate group may be "0.75, 0.8". The information of the item to be recommended { [ item name: banana ]; [ value transfer attribute value of article: 9 ]; [ article circulation attribute value: 12 ]; [ item information click volume: 40 ]; [ item information browsing amount: 60 ]; [ article runoff amount: 15 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 10 } determining as target item recommendation information. The information of the item to be recommended { [ item name: watermelon ]; [ value transfer attribute value of article: 12 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 45 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 25 ]; [ article circulation score value: 10 ]; [ quality assurance attribute value of article: 10 } determining as target item recommendation information. Obtaining a target article recommendation information group:

And step 306, generating an item information recommendation table based on the target item recommendation information group and the target value transfer turnover rate group.

In some embodiments, based on the target item recommendation information group and the target value transfer transition rate group, the executing entity may generate an item information recommendation table by:

the method comprises the steps of firstly, generating an article recommendation score value based on each piece of target article recommendation information in the target article recommendation information group and a target value transition transfer rate corresponding to the target article recommendation information, and obtaining an article recommendation score value group.

In some embodiments, the first step may include the following sub-steps:

in the first substep, the ratio of the item information click quantity and the item information browsing quantity included in the target item recommendation information is determined as a score adjustment value. Here, the value of the score adjustment value may be retained to two significant digits after the decimal point.

As an example, the above target item recommendation information { [ item name: banana ]; [ value transfer attribute value of article: 9 ]; [ article circulation attribute value: 12 ]; [ item information click volume: 40 ]; [ item information browsing amount: 60 ]; [ article runoff amount: 15 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 10] the ratio "0.66" of the item information click quantity "40" and the item information browsing quantity "60" included in the item information is determined as the score adjustment value.

As another example, the target item recommendation information { [ item name: watermelon ]; [ value transfer attribute value of article: 12 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 45 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 25 ]; [ article circulation score value: 10 ]; [ quality assurance attribute value of article: 10 } the ratio '0.75' of the item information click quantity '45' and the item information browsing quantity '60' included in the item information is determined as a score adjustment value.

A second substep of generating an item recommendation score value based on the score adjustment value, the item information click amount, the item information browsing amount, a target value transfer turnover rate corresponding to the target item recommendation information, an item turnover amount, an item circulation score value and an item quality assurance attribute value included in the target item recommendation information:

。

wherein,

indicating an item recommendation rating.

And indicating the click rate of the item information.

And displaying the browsing amount of the article information.

Representing the base of the natural logarithmic function.

Representing the target value transfer turnover.

Indicating the article flow rate.

Indicating the above-mentioned score adjustment value.

Representing the above-mentioned quality attribute value of the article.

And expressing the item circulation score value.

Indicating a rounding down operation.

As an example, the item information click amount is

May be "40". The above-mentioned article information browsing amount

May be "60". The target value transfer turnover

May be "0.75". Amount of flow of the above-mentioned articles

May be "15". The above grade adjustment value

May be "0.66". Quality attribute value of the above-mentioned articles

May be "10". The above-mentioned article circulation score value

May be "9". And (3) generating an item recommendation evaluation value:

。

as another example, the item information click amount is

May be "45". The above-mentioned article information browsing amount

May be "80". The target value transfer turnover

May be "0.8". Amount of flow of the above-mentioned articles

May be "25". The above grade adjustment value

May be "0.75". Quality attribute value of the above-mentioned articles

May be "10". The above-mentioned article circulation score value

May be "10". And generating an item recommendation evaluation value through a formula:

。

and secondly, combining each item recommendation score value in the item recommendation score value group and target item recommendation information corresponding to the item recommendation score value to generate a binary group to obtain a binary group set.

As an example, the set of item recommendation score values described above may be "11, 18". The item recommendation score value "11" and the target item recommendation information { [ item name: banana ]; [ value transfer attribute value of article: 9 ]; [ article circulation attribute value: 12 ]; [ item information click volume: 40 ]; [ item information browsing amount: 60 ]; [ article runoff amount: 15 ]; [ article circulation score value: 9 ]; [ quality assurance attribute value of article: 10] to perform a combination process to generate a binary ({ [ item name: banana ], [ item value transfer attribute value: 9], [ item flow attribute value: 12], [ item information click quantity: 40], [ item information browsing quantity: 60], [ item flow quantity: 15], [ item flow rating value: 9], [ item quality guarantee attribute value: 10] }, 11). The item recommendation score value "18" and the target item recommendation information corresponding to the item recommendation score value "18 { [ item name: watermelon ]; [ value transfer attribute value of article: 12 ]; [ article circulation attribute value: 15 ]; [ item information click volume: 45 ]; [ item information browsing amount: 80 ]; [ article runoff amount: 25 ]; [ article circulation score value: 10 ]; [ quality assurance attribute value of article: 10] to perform a combining process to generate a doublet ({ [ item name: watermelon ]; [ item value transfer attribute value: 12 ]; [ item flow attribute value: 15 ]; [ item information click quantity: 45 ]; [ item information browsing quantity: 80 ]; [ item flow quantity: 25 ]; [ item flow rating value: 10 ]; [ item quality assurance attribute value: 10] }, 18).

And thirdly, establishing an empty table, and inputting each binary group in the binary group set into the empty table to generate an article information recommendation table based on the article recommendation score value group.

As an example, a null table may be established, and each of the binary sets may be input into the null table to generate an item information recommendation table based on the set of item recommendation score values:

the formula and the related content in step 306 serve as an invention point of the disclosure, thereby solving the technical problem two mentioned in the background art that the influence of various factors on the item recommendation result cannot be considered comprehensively, the accuracy of the generated item recommendation score value is not high, the recommended item is difficult to meet the requirement of the user, the shopping experience of the user is reduced, and the flow loss of the platform user is caused. The impact factors that cause the loss of platform user traffic are often as follows: the influence of various factors on the item recommendation result cannot be considered comprehensively, the accuracy of the generated item recommendation score value is not high, the recommended item is difficult to meet the requirements of the user, the shopping experience of the user is reduced, and therefore the flow of the platform user is lost. If the influence factors are solved, the effect of improving the platform user flow can be achieved. To achieve this effect, the formula in step 306 introduces seven influencing factors such as item information click rate, item information browsing amount, target value transfer and transfer rate, item transfer amount, score adjustment value, item quality guarantee attribute value and item transfer score value to improve the accuracy of the item recommended to the user. Firstly, the importance degree of the item to be recommended can be preliminarily known by introducing the item circulation score value. And secondly, the click quantity of the introduced article information and the browsing quantity of the article information are introduced, so that the importance degree of the article to be recommended can be further known. Then, the objective value transfer turnover rate is introduced to consider the cost performance of the article, and the higher the objective value transfer turnover rate is, the higher the cost performance of the article is, the more popular the article is to users. The article flowing amount is introduced to prevent the article from being out of date due to short shelf life of the article, which causes poor user experience. Finally, a score adjustment value is introduced to objectively correct the item recommendation score value. By the seven influence factors, the accuracy of generating the item recommendation score value is improved. Thereby, the accuracy of the item recommended to the user can be improved. Therefore, the shopping experience of the user is improved, and the loss of the flow of the platform user is reduced.

Step 307, sending the item information recommendation table to a display device with a display function so that a user can browse the item information recommendation table.

In some embodiments, the specific implementation manner and technical effects of step 307 may refer to step 205 in those embodiments corresponding to fig. 2, and are not described herein again.

As can be seen from fig. 3, compared with the description of some embodiments corresponding to fig. 2, the flow 300 of the item information pushing method in some embodiments corresponding to fig. 3 improves the accuracy of generating the item recommendation score value by seven factor factors. Further, the accuracy of the item recommended to the user can be improved. Therefore, the shopping experience of the user is improved, and the flow loss of the platform user is reduced.

With further reference to fig. 4, as an implementation of the methods shown in the above-mentioned figures, the present disclosure provides some embodiments of an article information pushing device, which correspond to those of the method embodiments described above in fig. 2, and which can be applied to various electronic devices.

As shown in fig. 4, the item information pushing apparatus 400 of some embodiments includes: acquisition unit 401, selection unit 402, determination unit 403, generation unit 404, and transmission unit 405. The obtaining unit 401 is configured to obtain article circulation information of each article in an article group to be recommended, and obtain an article circulation information set, where the article circulation information includes an article quality guarantee attribute value; the selecting unit 402 is configured to select an item quality assurance attribute value greater than a predetermined threshold value from the item quality assurance attribute values included in the item circulation information sets as a target item quality assurance attribute value, resulting in a target item quality assurance attribute value set; the determining unit 403 is configured to determine the item circulation information corresponding to each quality guarantee attribute value in the target item quality guarantee attribute value sets as the item information to be recommended, so as to obtain an item information set to be recommended; the generating unit 404 is configured to generate an item information recommendation table based on the item information group to be recommended; the transmitting unit 405 is configured to transmit the item information recommendation table to a display device having a display function for a user to browse.

In some optional implementations of some embodiments, the generating unit 404 of the item information pushing device 400 is further configured to: determining the ratio of the article value transfer attribute value and the article circulation attribute value included in each article information to be recommended in the article information group to be recommended as a value transfer circulation rate to obtain a value transfer circulation rate group; and generating a target item recommendation information group based on the value transfer turnover rate group and the item information group to be recommended.

It will be understood that the elements described in the apparatus 400 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 400 and the units included therein, and will not be described herein again.

Referring now to FIG. 5, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1) 500 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.

Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 5 may represent one device or may represent multiple devices as desired.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure 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 illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program, when executed by the processing device 501, performs the above-described functions defined in the methods of some embodiments of the present disclosure.

It should be noted that the computer readable medium described above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring article circulation information of each article in an article group to be recommended to obtain an article circulation information set, wherein the article circulation information comprises an article quality guarantee attribute value; selecting an article quality guarantee attribute value which is greater than or equal to a preset threshold value from the article quality guarantee attribute values included in the article circulation information set to serve as a target article quality guarantee attribute value, and obtaining a target article quality guarantee attribute value set; determining the article circulation information corresponding to each quality guarantee attribute value in the target article quality guarantee attribute value groups as the information of the articles to be recommended to obtain an information group of the articles to be recommended; generating an article information recommendation table based on the article information group to be recommended; and sending the item information recommendation table to a display device with a display function so as to facilitate browsing of a user.

Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a selection unit, a determination unit, a generation unit, and a transmission unit. Here, the names of these units do not constitute a limitation to the unit itself in some cases, and for example, the transmission unit may also be described as "a unit that transmits the above-described item information recommendation table to a display device having a display function for a user to browse".

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the technical method may be formed by replacing the above-mentioned features with (but not limited to) technical features having similar functions disclosed in the embodiments of the present disclosure.

Claims

1. An item information pushing method, comprising:

acquiring article circulation information of each article in an article group to be recommended to obtain an article circulation information set, wherein the article circulation information comprises an article quality guarantee attribute value;

selecting an article quality guarantee attribute value which is greater than or equal to a preset threshold value from the article quality guarantee attribute values included in the article circulation information set to serve as a target article quality guarantee attribute value, and obtaining a target article quality guarantee attribute value set;

determining the article circulation information corresponding to each quality guarantee attribute value in the target article quality guarantee attribute value groups as the information of the articles to be recommended to obtain an information group of the articles to be recommended;

generating an article information recommendation table based on the article information group to be recommended;

wherein, the article circulation information also comprises an article value transfer attribute value and an article circulation attribute value; and

generating an item information recommendation table based on the item information group to be recommended, including:

determining the ratio of the article value transfer attribute value and the article circulation attribute value included in each article information to be recommended in the article information group to be recommended as a value transfer circulation rate to obtain a value transfer circulation rate group;

generating a target item recommendation information group based on the value transfer turnover rate group and the item information group to be recommended;

generating a target item recommendation information group based on the value transfer turnover group and the item information group to be recommended, wherein the generating of the target item recommendation information group comprises:

selecting a value transfer conversion rate meeting a preset condition from the value transfer conversion rate group as a target value transfer conversion rate to obtain a target value transfer conversion rate group;

determining information of the to-be-recommended articles corresponding to each target value transfer rate in the target value transfer rate group as target article recommendation information to obtain a target article recommendation information group;

generating an item information recommendation table based on the target item recommendation information group and the target value transfer turnover rate group;

the article circulation information also comprises article information click quantity, article information browsing quantity, article circulation quantity and article circulation score value; and

generating an item information recommendation table based on the target item recommendation information group and the target value transfer turnover group, including:

generating an article recommendation score value based on each target article recommendation information in the target article recommendation information group and a target value transfer turnover rate corresponding to the target article recommendation information to obtain an article recommendation score value group;

combining each item recommendation score value in the item recommendation score value group and target item recommendation information corresponding to the item recommendation score value to generate a binary group, so as to obtain a binary group set;

establishing an empty table, and inputting each binary group in the binary group set into the empty table to generate an article information recommendation table based on the article recommendation score value set;

sending the item information recommendation table to a display device with a display function so as to facilitate browsing of a user;

generating an item recommendation score value based on each item recommendation information in the target item recommendation information group and a target value transition transfer rate corresponding to the target item recommendation information, wherein the generating of the item recommendation score value comprises:

determining the ratio of the item information click quantity and the item information browsing quantity included in the target item recommendation information as a score adjustment value;

generating an article recommendation score value based on the score adjustment value, the article information click quantity, the article information browsing quantity, a target value transfer turnover rate corresponding to the target article recommendation information, an article turnover quantity, an article circulation score value and an article quality guarantee attribute value included in the target article recommendation information;

wherein the generating of the item recommendation score value based on the score adjustment value, the item information click amount, the item information browsing amount, the target value transfer transition rate corresponding to the target item recommendation information, the item transition amount included in the target item recommendation information, the item flow score value, and the item quality assurance attribute value includes:

generating an item recommendation score value through a formula:

，

wherein,

a value of the item recommendation rating is indicated,

indicating the click quantity of the item information,

the information browsing amount of the article is represented,

represents the base of a natural logarithmic function,

representing the target value transfer turnover rate,

indicating the amount of the flow of the article,

a value indicative of an adjustment to the score,

represents a value of a quality assurance attribute of the item,

a value representing the item flow score,

the amount of the article flowing is shown,

indicating a rounding down operation.

2. An article information pushing device comprises:

the system comprises an acquisition unit, a recommendation unit and a recommendation unit, wherein the acquisition unit is configured to acquire article circulation information of each article in an article group to be recommended to obtain an article circulation information set, and the article circulation information comprises an article quality guarantee attribute value, an article value transfer attribute value, an article circulation attribute value, an article information click quantity, an article information browsing quantity, an article circulation quantity and an article circulation score value;

a selecting unit configured to select an article quality assurance attribute value greater than or equal to a predetermined threshold value from the article quality assurance attribute values included in the article circulation information sets to obtain a target article quality assurance attribute value set;

the determining unit is configured to determine the article circulation information corresponding to each quality guarantee attribute value in the target article quality guarantee attribute value groups as the information of the articles to be recommended, and obtain an information group of the articles to be recommended;

a generating unit configured to generate an item information recommendation table based on the item information group to be recommended; the generation unit is further configured to:

generating an item recommendation score value through a formula:

，

wherein,

a value of the item recommendation rating is indicated,

indicating the click quantity of the item information,

the information browsing amount of the article is represented,

represents the base of a natural logarithmic function,

representing the target value transfer turnover rate,

indicating the amount of the flow of the article,

a value indicative of an adjustment to the score,

represents a value of a quality assurance attribute of the item,

a value representing the item flow score,

the amount of the article flowing is shown,

represents a rounding down operation;

a sending unit configured to send the item information recommendation table to a display device having a display function for a user to browse.

3. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon;

when executed by the one or more processors, cause the one or more processors to implement the method of claim 1.

4. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of claim 1.