CN110990690A - Post recommendation method and device - Google Patents
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- CN110990690A CN110990690A CN201911111418.9A CN201911111418A CN110990690A CN 110990690 A CN110990690 A CN 110990690A CN 201911111418 A CN201911111418 A CN 201911111418A CN 110990690 A CN110990690 A CN 110990690A
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- G06F16/90—Details of database functions independent of the retrieved data types
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
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Abstract
The application discloses a post recommending method and device. The method of the application comprises calculating a click rate of each post; calculating a heat value of each post according to the click rate of each post based on Newton's cooling law; and recommending posts according to the heat value. The method and the device solve the problem that the retention rate of the user is influenced by the conventional post recommending mode.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a post recommendation method and device.
Background
With the rapid development of the internet, more and more channels for people to obtain information are concentrated in the network. One channel for obtaining information is to obtain the current hottest or latest information through posts published in a website. In order to meet the requirement of a user for obtaining information, posts are pushed by a website, and a post recommendation mode commonly used by the website at present is as follows: and pushing the latest posts to the user according to the generation time sequence of the posts. However, this method has a problem that if there are many new posts, some old posts but popular posts which are paid attention to by many people disappear from the user page, which affects the retention rate of the user.
Disclosure of Invention
The application mainly aims to provide a post recommending method and device, so as to solve the problem that the existing post recommending mode influences the retention rate of a user.
To achieve the above object, according to a first aspect of the present application, there is provided a method of post recommendation.
The post recommendation method comprises the following steps:
calculating the click rate of each post;
calculating a heat value of each post according to the click rate of each post based on Newton's cooling law;
and recommending posts according to the heat value.
Further, the calculating the click rate of each post comprises:
counting the original click rate of each post in a preset time period;
the calculating the heat value of each post according to the click rate of each post based on Newton's law of cooling comprises:
calculating a thermal attenuation value of each post in a preset time period according to the original click rate based on Newton's cooling law;
a heat value for each post is calculated based on the heat attenuation value.
Further, prior to calculating the click rate of each post, the method further comprises:
acquiring the click number of each post in the current time period;
screening out posts with the clicking number larger than the preset number to obtain popular posts;
the calculating the click through rate of each post comprises:
the click rate for each popular post is calculated.
Further, the calculating a thermal decay value of each post in a preset period according to the original click rate based on Newton's law of cooling comprises:
dividing a preset time interval into a plurality of sub-time intervals;
calculating the thermal attenuation value of each post in each sub-period according to the original click rate to obtain a plurality of sub-thermal attenuation values corresponding to each post;
the calculating the heat value for each post from the thermal attenuation value comprises:
and respectively calculating the heat value of each post in a preset time period according to the plurality of sub-heat attenuation values corresponding to each post.
Further, the calculating the heat value of each post in a preset time period according to the plurality of sub-thermal attenuation values corresponding to each post respectively comprises:
and summing the plurality of sub-thermal attenuation values corresponding to each post to obtain the thermal value of each post in a preset time period.
Further, the method further comprises:
synchronizing all posts to a Hive data warehouse on time;
the calculating the click through rate of each post comprises:
the click rate for each post is calculated based on the Hive data warehouse.
Further, the recommending posts according to the heat value comprises:
synchronizing the posts and the corresponding hot values of the posts to a message queue;
and obtaining posts from the message queue for recommendation.
In order to achieve the above object, according to a second aspect of the present application, there is provided an apparatus for post recommendation.
The post recommendation device comprises:
a first calculation unit for calculating a click rate of each post;
a second calculation unit for calculating a heat value of each post according to a click rate of each post based on Newton's law of cooling;
and the recommending unit is used for recommending the posts according to the heat value.
Further, the first computing unit is configured to:
counting the original click rate of each post in a preset time period;
the second calculation unit includes:
the first calculation module is used for calculating a thermal attenuation value of each post in a preset time period according to the original click rate based on Newton's cooling law;
a second calculation module to calculate a heat value for each post based on the heat attenuation value.
Further, the apparatus further comprises:
the acquisition unit is used for acquiring the click rate of each post in the current time period before calculating the click rate of each post;
the screening unit is used for screening out posts with the clicking number larger than the preset number to obtain popular posts;
the first computing unit is to:
the click rate for each popular post is calculated.
Further, the first computing module is configured to:
dividing a preset time interval into a plurality of sub-time intervals;
calculating the thermal attenuation value of each post in each sub-period according to the original click rate to obtain a plurality of sub-thermal attenuation values corresponding to each post;
the second calculation module is configured to:
and respectively calculating the heat value of each post in a preset time period according to the plurality of sub-heat attenuation values corresponding to each post.
Further, the second calculation module is further configured to:
and summing the plurality of sub-thermal attenuation values corresponding to each post to obtain the thermal value of each post in a preset time period.
Further, the apparatus further comprises:
the synchronization unit is used for synchronizing all posts to the Hive data warehouse in time;
the first computing unit is to:
the click rate for each post is calculated based on the Hive data warehouse.
Further, the recommendation unit includes:
the synchronization module is used for synchronizing the posts and the corresponding heat values of the posts to a message queue;
and the recommending module is used for acquiring posts from the message queue and recommending the posts.
To achieve the above object, according to a third aspect of the present application, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method of post recommendation of any one of the above first aspects.
In the embodiment of the application, in the method and the device for recommending the posts, the click rate of each post is calculated firstly; then calculating the heat value of each post according to the click rate of each post based on Newton's cooling law; and finally recommending the posts according to the heat value. In the method, the calculation of the heat value of the post is carried out according to Newton cooling law based on the click rate of each post, and then the recommendation of the post is carried out according to the heat value. Compared with the prior art, the method and the device have the advantages that the recommendation is not performed according to the time sequence when the posts are recommended, but the heat value of the posts is considered, and the posts with high heat value are the posts with high user attention, so that the posts with high user attention can be recommended to the user through the high heat value even if the posts are old posts, and the retention rate of the user can be improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a flow chart of a method for recommending posts according to an embodiment of the present application;
FIG. 2 is a flow diagram of another method for recommending posts according to an embodiment of the present application;
FIG. 3 is a block diagram illustrating an apparatus for post recommendation according to an embodiment of the present application;
FIG. 4 is a block diagram of another apparatus for post recommendation provided in accordance with an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
According to an embodiment of the present application, there is provided a post recommendation method, as shown in fig. 1, the method including the steps of:
s101, calculating the click rate of each post.
The click rate of the posts is determined by dividing the number of clicks by the number of exposures, and the number of clicks and the number of exposures can be acquired by a JS script or other click number and exposure acquisition methods. In practical applications, the number of shots and the number of exposures are usually obtained statistically every preset period, for example, once per day, once every 12 hours, etc.
S102, calculating a heat value of each post according to the click rate of each post based on Newton's cooling law.
Newton's law of cooling is defined as the law that an object with a temperature higher than the ambient environment will transfer heat to the surrounding medium and gradually cool. When there is a temperature difference between the surface of an object and the surroundings, the amount of heat dissipated from a unit area per unit time is proportional to the temperature difference, and the proportionality coefficient is called the heat transfer coefficient.
The principle of calculating the heat value based on newton's law of cooling in this example is: taking the original click rate of each post as an original heat, calculating a thermal attenuation value of the original heat in a period of time based on Newton's cooling law, and then integrating the thermal attenuation value (attenuation heat) in the period of time to determine the current heat value of the post.
Newton's law of cooling is generally applied in the field of heat transfer, which is applied in this embodiment in the field of calculation of calorimetric values. The cross-domain application is that after a plurality of experiments, the inventor finds that the change curve of the post heat value with time is approximate to the change curve of the temperature with time in Newton's law of cooling. This discovery by the inventors is itself an inventive embodiment.
And S103, recommending posts according to the heat value.
And after determining the heat value of the post, recording the post and the corresponding heat value. And then recommending posts according to actual requirements, such as recommending the posts with the top 20 ranks in the heat value, or recommending the posts with the top 10 ranks in the heat value of different fields according to different fields, respectively. In the recommendation process according to the heat value, a recommendation of a post corresponding to a city may be recommended to the user according to the city to which the user belongs. The mode recommended in this embodiment is schematically illustrated, and can be flexibly adjusted according to actual needs in actual applications.
In addition, in order to integrate the posts with high popularity and the new posts, a recommendation strategy may be obtained by integrating popularity value recommendations and chronological recommendations. For example, a portion of the posts may be recommended by a heat value and another portion by recommending in chronological order.
From the above description, it can be seen that, in the method for recommending posts in the embodiment of the present application, the click rate of each post is first calculated; then calculating the heat value of each post according to the click rate of each post based on Newton's cooling law; and finally recommending the posts according to the heat value. In the method, the calculation of the heat value of the post is carried out according to Newton cooling law based on the click rate of each post, and then the recommendation of the post is carried out according to the heat value. Compared with the prior art, the method and the device have the advantages that the recommendation is not performed according to the time sequence when the posts are recommended, but the heat value of the posts is considered, and the posts with high heat value are the posts with high user attention, so that the posts with high user attention can be recommended to the user through the high heat value even if the posts are old posts, and the retention rate of the user can be improved.
As a further supplement and refinement to the above embodiments, according to the embodiments of the present application, another method for recommending posts is provided, as shown in fig. 2, the method comprising the steps of:
s201, acquiring the click number of each post in the current time period, and screening out posts with the click number larger than the preset number to obtain popular posts.
The current time interval is freely set according to actual conditions. In this embodiment, taking a statistics of the number of hits of posts made once a day as an example, the corresponding number of hits in the current time is set as the number of hits in the day. A specific way to get popular posts is given by: after each day, synchronizing all posts into a Hive data warehouse on time; then, calculating posts with the clicking number larger than the preset number based on a Hive data warehouse, wherein the preset number can be set according to actual requirements; and then taking the posts with the click number larger than the preset number as popular posts.
The Hive data warehouse supports large-data-volume query, and in the embodiment, the posts are synchronized into the Hive data warehouse, so that the performance of database query can be improved compared with the prior art that the posts are stored in mysql.
In the step, all posts are preliminarily screened before the heat value of the posts is calculated, and the posts with the small click rate are eliminated, so that the subsequent calculation efficiency can be improved.
S202, calculating the original click rate of each popular post in a preset time period based on the Hive data warehouse.
The calculation of the original click rate of each popular post in the present step within the preset time period is the same as the implementation manner of calculating the click rate of each post in step S101 in fig. 1, and is not repeated here.
S203, calculating a thermal attenuation value of each post in a preset time period according to the original click rate based on Newton's cooling law.
As described in the background of the present application, the problem to be solved by the present embodiment is how to recommend a post that is old in time but high in attention to the user. Therefore, the click rate of the post in the time before the current time period needs to be considered when calculating the heat value. Therefore, the preset period includes a period of time before the current period.
Specifically, the present embodiment takes the last three days in the preset time period as an example to calculate and explain the thermal attenuation value of each post:
firstly, dividing a preset time interval into a plurality of sub-time intervals;
the preset time period is divided into three sub-time periods according to the days, and each day is one sub-time period. In practical application, the division may also be performed according to other rules, and the embodiment is not limited.
Secondly, calculating a thermal attenuation value of each post in each sub-period according to the original click rate to obtain a plurality of sub-thermal attenuation values corresponding to each post;
it should be noted that the original click rate is an original click rate within a preset time period, and in this example, the original click rate is a sum of click rates of the last three days.
The calculation formula for calculating the thermal attenuation value in each sub-period is as follows:
wherein T is a thermal attenuation value, T0Is originalThe click rate, α is the cooling coefficient, which is the preset value, t-t0Is the interval time coefficient (24 for the previous day, 48 for the first two days and 72 for the first three days)
From the above formula, three sub-thermal attenuation values corresponding to three sub-periods, denoted as T1, T2, T3, can be obtained in this example
S204, respectively calculating the heat value of each post in a preset time period according to the plurality of sub-heat attenuation values corresponding to each post.
The step of calculating the heat value of each post in the preset time period according to the plurality of sub-heat attenuation values corresponding to each post is to calculate the heat value of each post in the preset time period by algorithms such as summation, averaging and the like.
This embodiment presents several ways to calculate the heat value of each post within a preset time period: the first method is as follows: and summing the plurality of sub-thermal attenuation values corresponding to each post to obtain the thermal value of each post in a preset time period. Corresponding to the above example, the heat value of each post in the preset time period is a × T1+ b × T2+ c × T3, where a, b, and c are setting coefficients, and a, b, and c may be the same or different; the second method comprises the following steps: averaging a plurality of sub-thermal attenuation values corresponding to each post to obtain a thermal value of each post in a preset time period. Corresponding to the above example, the thermal attenuation value of each post in the preset time period is (a × T1+ b × T2+ c × T3)/3, where a, b, and c are setting coefficients, and a, b, and c may be the same or different.
S205, synchronizing the posts and the corresponding heat values of the posts to a message queue.
A Message Queue (MQ) is a way of communicating between processes or between different threads of the same process. After the message is sent, the message can be returned immediately, the message system ensures the reliable transmission of the message, and the message is used as a communication mode among applications, so that the coupling among all modules can be effectively reduced, and the efficiency of distributed cooperation is improved. Publishers only take care of publishing messages to MQ, regardless of who will fetch, and message users only take messages from MQ, regardless of who published them. So that neither the publisher nor the user is aware of the presence of the other.
In the embodiment, the posts and the hot values of the posts are synchronized in the message queue, so that the reading speed can be improved when data is read.
S206, obtaining the posts from the message queue according to the heat value of the posts for recommendation.
This step is implemented in the same way as step S103 of fig. 1, and it is added and emphasized that all posts and the popularity value of the posts are obtained from MQ.
In addition, it is to be added that the method of post recommendation in fig. 1 and 2 can be implemented based on different languages, such as PHP scripting language, JS, C, VB, and the like.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present application, there is also provided an apparatus for recommending posts, which is used to implement the method described in fig. 1 to 2, as shown in fig. 3, the apparatus includes:
a first calculation unit 31 for calculating a click rate of each post;
a second calculation unit 32 for calculating a heat value of each post according to a click rate of each post based on newton's law of cooling;
and a recommending unit 33 for recommending posts according to the heat value.
As can be seen from the above description, in the device for recommending posts according to the embodiment of the present application, the click rate of each post is first calculated; then calculating the heat value of each post according to the click rate of each post based on Newton's cooling law; and finally recommending the posts according to the heat value. In the method, the calculation of the heat value of the post is carried out according to Newton cooling law based on the click rate of each post, and then the recommendation of the post is carried out according to the heat value. Compared with the prior art, the method and the device have the advantages that the recommendation is not performed according to the time sequence when the posts are recommended, but the heat value of the posts is considered, and the posts with high heat value are the posts with high user attention, so that the posts with high user attention can be recommended to the user through the high heat value even if the posts are old posts, and the retention rate of the user can be improved.
Further, as shown in fig. 4, the first calculating unit 31 is configured to:
counting the original click rate of each post in a preset time period;
the second calculation unit 32 includes:
a first calculating module 321, configured to calculate a thermal attenuation value of each post in a preset time period according to an original click rate based on newton's cooling law;
a second calculation module 322 for calculating a heat value for each post based on the heat attenuation value.
Further, as shown in fig. 4, the apparatus further includes:
an obtaining unit 34, configured to obtain the number of clicks of each post in the current time period before calculating the click rate of each post;
the screening unit 35 is configured to screen out posts with click numbers greater than a preset number to obtain popular posts;
the first calculation unit 31 is configured to:
the click rate for each popular post is calculated.
Further, as shown in fig. 4, the first calculating module 321 is configured to:
dividing a preset time interval into a plurality of sub-time intervals;
calculating the thermal attenuation value of each post in each sub-period according to the original click rate to obtain a plurality of sub-thermal attenuation values corresponding to each post;
the second computing module 322 is configured to:
and respectively calculating the heat value of each post in a preset time period according to the plurality of sub-heat attenuation values corresponding to each post.
Further, as shown in fig. 4, the second calculating module 322 is further configured to:
and summing the plurality of sub-thermal attenuation values corresponding to each post to obtain the thermal value of each post in a preset time period.
Further, as shown in fig. 4, the apparatus further includes:
a synchronization unit 36, configured to synchronize all posts to the Hive data warehouse in time;
the first calculation unit 31 is configured to:
the click rate for each post is calculated based on the Hive data warehouse.
Further, as shown in fig. 4, the recommending unit 33 includes:
the synchronization module 331 is configured to synchronize the posts and the heat values corresponding to the posts to a message queue;
and the recommending module 332 is configured to obtain the posts from the message queue for recommending.
Specifically, the specific process of implementing the functions of each unit and module in the device in the embodiment of the present application may refer to the related description in the method embodiment, and is not described herein again.
There is also provided, in accordance with an embodiment of the present application, a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the method of post recommendation described in any of fig. 1-2.
It will be apparent to those skilled in the art that the modules or steps of the present application described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method of post recommendation, the method comprising:
calculating the click rate of each post;
calculating a heat value of each post according to the click rate of each post based on Newton's cooling law;
and recommending posts according to the heat value.
2. The method of claim 1, wherein the calculating the click-through rate for each post comprises:
counting the original click rate of each post in a preset time period;
the calculating the heat value of each post according to the click rate of each post based on Newton's law of cooling comprises:
calculating a thermal attenuation value of each post in a preset time period according to the original click rate based on Newton's cooling law;
a heat value for each post is calculated based on the heat attenuation value.
3. The method of post recommendation of claim 1, wherein prior to calculating the click-through rate of each post, the method further comprises:
acquiring the click number of each post in the current time period;
screening out posts with the clicking number larger than the preset number to obtain popular posts;
the calculating the click through rate of each post comprises:
the click rate for each popular post is calculated.
4. The method of claim 2, wherein the calculating a thermal decay value for each post over a preset period of time from an original click-through rate based on newton's law of cooling comprises:
dividing a preset time interval into a plurality of sub-time intervals;
calculating the thermal attenuation value of each post in each sub-period according to the original click rate to obtain a plurality of sub-thermal attenuation values corresponding to each post;
the calculating the heat value for each post from the thermal attenuation value comprises:
and respectively calculating the heat value of each post in a preset time period according to the plurality of sub-heat attenuation values corresponding to each post.
5. The method of claim 4, wherein the calculating the heat value of each post within a preset time period according to the plurality of sub-thermal attenuation values corresponding to each post comprises:
and summing the plurality of sub-thermal attenuation values corresponding to each post to obtain the thermal value of each post in a preset time period.
6. The method of post recommendation according to claim 1, further comprising:
synchronizing all posts to a Hive data warehouse on time;
the calculating the click through rate of each post comprises:
the click rate for each post is calculated based on the Hive data warehouse.
7. The method of claim 1, wherein recommending posts according to the popularity value comprises:
synchronizing the posts and the corresponding hot values of the posts to a message queue;
and obtaining posts from the message queue for recommendation.
8. An apparatus for post recommendation, the apparatus comprising:
a first calculation unit for calculating a click rate of each post;
a second calculation unit for calculating a heat value of each post according to a click rate of each post based on Newton's law of cooling;
and the recommending unit is used for recommending the posts according to the heat value.
9. The post recommendation device of claim 8, wherein the first computing unit is configured to:
counting the original click rate of each post in a preset time period;
the second calculation unit includes:
the first calculation module is used for calculating a thermal attenuation value of each post in a preset time period according to the original click rate based on Newton's cooling law;
a second calculation module to calculate a heat value for each post based on the heat attenuation value.
10. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of post recommendation of any one of claims 1-7.
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| CN112015975A (en) * | 2020-07-15 | 2020-12-01 | 北京淇瑀信息科技有限公司 | Financial user-oriented information pushing method and device based on Newton's cooling law |
| CN114760261A (en) * | 2022-06-13 | 2022-07-15 | 杭州安司源科技有限公司 | Instant messaging tool contact person sorting method and device |
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| CN110297987A (en) * | 2019-07-02 | 2019-10-01 | 武汉斗鱼网络科技有限公司 | A kind of model recommended method, device, equipment and storage medium |
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| CN112015975A (en) * | 2020-07-15 | 2020-12-01 | 北京淇瑀信息科技有限公司 | Financial user-oriented information pushing method and device based on Newton's cooling law |
| CN112015975B (en) * | 2020-07-15 | 2023-11-14 | 北京淇瑀信息科技有限公司 | Information pushing method and device for financial users based on Newton's law of cooling |
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