CN110796474A - Automatic adjustment method and device for activity operation and electronic equipment - Google Patents
Automatic adjustment method and device for activity operation and electronic equipment Download PDFInfo
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Abstract
The invention discloses an automatic adjustment method, an automatic adjustment device and electronic equipment for mobile operation, wherein the method comprises the following steps: acquiring activity dotting data; comparing the activity dotting data with the historical benchmark data of the activity, and judging the current operation state of the activity according to a comparison result and a preset decision set; and adjusting the activity sequence and/or the activity display time according to the current operation state of the activity. According to the invention, the activity dotting data is compared with the activity historical reference data, the current operation state of the activity is judged by using the preset decision set, and the activity sequencing and/or the activity display time is automatically adjusted according to the current operation state of the activity, so that the automation of the activity operation is realized. The automatic activity operation adjusting method can accurately and efficiently judge the current operation state, adjust the activity sequencing and/or the activity display time in time, reduce the workload of background operators, improve the working efficiency and reduce the activity operation cost.
Description
Technical Field
The invention relates to the field of computer information processing, in particular to an automatic activity operation adjusting method and device, electronic equipment and a computer readable medium.
Background
The active operation (Operating activities) refers to that an active company operates aiming at activities with different activities and different properties, and comprises activity planning, activity implementation and grafting related industry building industrial chains. With the development of internet technology, active operations of many applications are promoted on websites or APPs through the internet.
In the prior art, for different activity schemes, in an activity operation promotion process, a background operator needs to manually adjust activity sequencing and/or activity display time according to an activity operation condition, so that the problems of untimely activity adjustment, large workload of the operator and low working efficiency are caused.
Disclosure of Invention
The invention aims to solve the technical problem of low working efficiency caused by the fact that the promotion activity sequencing and/or the activity display time cannot be automatically adjusted in the prior art.
In order to solve the above technical problem, a first aspect of the present invention provides an automatic mobile operation adjustment method, including:
acquiring activity dotting data;
comparing the activity dotting data with the historical benchmark data of the activity, and judging the current operation state of the activity according to a comparison result and a preset decision set;
and adjusting the activity sequence and/or the activity display time according to the current operation state of the activity.
According to a preferred embodiment of the present invention, the comparing the activity dotting data with the historical reference data of the activity, and the determining the current operation state of the activity according to the comparison result and a preset decision set includes:
when the activity dotting data are larger than a first reference value of the activity historical datum data, selecting an activity ascending period in the preset decision set as the current operation state of the activity;
when the activity dotting data are smaller than the first reference value of the activity historical datum and larger than the second reference value of the activity historical datum, selecting an activity stable period in the preset decision set as the current operation state of the activity;
when the activity dotting data are smaller than a second reference value of the activity historical datum data, selecting an activity descending period in the preset decision set as the current operation state of the activity;
wherein the first reference value is greater than the second reference value.
According to a preferred embodiment of the present invention, said adjusting the campaign ranking and/or campaign presentation time according to the campaign current operation state comprises:
if the current operation state of the activity is an activity ascending period, sequencing the activity pages in advance and prolonging the display time of the activity pages;
if the current operation state of the activity is an activity stable period, keeping the current sequencing and activity display time of the activity pages unchanged;
and if the current operation state of the activity is an activity descending period, sequencing and postpositing the activity pages after a preset time period.
According to a preferred embodiment of the present invention, after sorting and postpositing the active pages after a preset time period if the active current operation state is an activity descent period, the method further includes:
judging whether the activity dotting data is smaller than a preset threshold value or not;
and when the activity dotting data is smaller than a preset threshold value, canceling the display of the activity page.
According to a preferred embodiment of the invention, the method further comprises:
and generating an activity page reference report according to the activity page life cycle data.
According to a preferred embodiment of the present invention, the generating an activity page reference report according to the activity page lifecycle data comprises:
generating a first tab map by time points after the active page is on line and dotting data corresponding to each time point, and marking the peak value of the first tab map and the time point corresponding to the peak value;
and adding a trend line to the first fold line graph to generate a first reference report of the activity page.
According to a preferred embodiment of the present invention, the generating an activity page reference report according to the activity page lifecycle data further comprises:
generating a second fold line graph from the sorting data of the activity pages in different time periods, and marking the sorting priorities of the activity pages in different life cycles;
and adding a trend line to the second fold graph, and generating a second reference report of the activity page.
According to a preferred embodiment of the invention, the method further comprises:
and updating the activity historical reference data according to the current activity dotting data.
According to a preferred embodiment of the present invention, the dotting data includes daily and/or peak visit time periods, and correspondingly, the historical reference data includes historical daily and/or peak visit time periods.
In order to solve the above technical problem, a second aspect of the present invention provides an automatic mobile operation adjustment apparatus, including:
the acquisition module is used for acquiring the activity dotting data;
the judging module is used for comparing the activity dotting data with the historical benchmark data of the activity and judging the current operation state of the activity according to a comparison result and a preset decision set;
and the adjusting module is used for adjusting the activity sequencing and/or the activity display time according to the current operation state of the activity.
According to a preferred embodiment of the present invention, the determining module includes:
the first judgment module is used for selecting an activity ascending period in the preset decision set as the current operation state of the activity when the activity dotting data is larger than the first reference value of the activity historical datum data;
a second judging module, configured to select an activity stability period in the preset decision set as the current operation state of the activity when the activity dotting data is smaller than the first reference value of the activity historical datum and larger than the second reference value of the activity historical datum;
a third judging module, configured to select an activity decline period in the preset decision set as the current operation state of the activity when the activity dotting data is smaller than a second reference value of the activity history reference data;
wherein the first reference value is greater than the second reference value.
According to a preferred embodiment of the invention, the adjustment module comprises:
the first adjusting module is used for advancing the sequencing of the activity pages and prolonging the display time of the activity pages if the current operation state of the activity is an activity ascending period;
the second adjusting module is used for keeping the current sequencing and the activity display time of the activity pages unchanged if the current operation state of the activity is an activity stable period;
and the third adjusting module is used for sequencing and postpositing the active pages after a preset time period if the current operation state of the activity is an activity descending period.
According to a preferred embodiment of the present invention, the third adjusting module further comprises:
the sub-judgment module is used for judging whether the activity dotting data is smaller than a preset threshold value or not;
and the sub-adjusting module is used for canceling the display of the activity page when the activity dotting data is smaller than a preset threshold value.
According to a preferred embodiment of the invention, the device further comprises:
and the report generation module is used for generating an activity page reference report according to the activity page life cycle data.
According to a preferred embodiment of the present invention, the report generating module includes:
the first marking module is used for generating a first tab map from the time points after the active page is on line and dotting data corresponding to each time point, and marking the peak value of the first tab map and the time point corresponding to the peak value;
and the first generation module is used for adding a trend line to the first fold line graph and generating a first reference report of the activity page.
According to a preferred embodiment of the present invention, the report generating module further comprises:
the second marking module is used for generating a second fold line map from the sorting data of the activity page in different time periods and marking the sorting priority of the activity page in different life cycles;
and the second generating module is used for adding a trend line to the second fold line graph and generating a second reference report of the activity page.
According to a preferred embodiment of the invention, the device further comprises:
and the updating module is used for updating the activity historical reference data according to the current activity dotting data.
According to a preferred embodiment of the present invention, the dotting data includes daily and/or peak visit time periods, and correspondingly, the historical reference data includes historical daily and/or peak visit time periods.
In order to solve the above technical problem, a third aspect of the present invention provides an electronic device, comprising: a processor; and a memory storing computer-executable instructions that, when executed, cause the processor to perform the above-described method.
In order to solve the above technical problem, a fourth aspect of the present invention proposes a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs that, when executed by a processor, implement the above method.
According to the invention, the activity dotting data is compared with the activity historical reference data, the current operation state of the activity is judged by using the preset decision set, and the activity sequencing and/or the activity display time is automatically adjusted according to the current operation state of the activity, so that the automation of the activity operation is realized. The automatic activity operation adjusting method can accurately and efficiently judge the current operation state, adjust the activity sequencing and/or the activity display time in time, reduce the workload of background operators, improve the working efficiency and reduce the activity operation cost.
Drawings
In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects obtained more clear, the following will describe in detail the embodiments of the present invention with reference to the accompanying drawings. It should be noted, however, that the drawings described below are only illustrations of exemplary embodiments of the invention, from which other embodiments can be derived by those skilled in the art without inventive step.
FIG. 1 is a flow chart of an automatic mobile operation adjustment method of the present invention;
FIG. 2a is a schematic view of the present invention for determining the current operating status of an activity according to daily activities;
FIG. 2b is a schematic diagram illustrating the present invention for determining active current operating conditions based on peak access time periods;
FIG. 3 is a flow chart of another active operation auto-tuning method of the present invention;
FIG. 4 is a schematic diagram of the automatic adjustment of Activity 1, Activity 2, and Activity 3 in an embodiment of the present invention;
FIG. 5 is a schematic diagram of a structural framework of an automatic mobile operation adjustment device of the present invention;
FIG. 6 is a block diagram of an electronic device of the present invention;
FIG. 7 is a diagrammatic representation of one embodiment of a computer-readable medium of the present invention.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention may be embodied in many specific forms, and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art.
The structures, properties, effects or other characteristics described in a certain embodiment may be combined in any suitable manner in one or more other embodiments, while still complying with the technical idea of the invention.
In describing particular embodiments, specific details of structures, properties, effects, or other features are set forth in order to provide a thorough understanding of the embodiments by one skilled in the art. However, it is not excluded that a person skilled in the art may implement the invention in a specific case without the above-described structures, performances, effects or other features.
The flow chart in the drawings is only an exemplary flow demonstration, and does not represent that all the contents, operations and steps in the flow chart are necessarily included in the scheme of the invention, nor does it represent that the execution is necessarily performed in the order shown in the drawings. For example, some operations/steps in the flowcharts may be divided, some operations/steps may be combined or partially combined, and the like, and the execution order shown in the flowcharts may be changed according to actual situations without departing from the gist of the present invention.
The block diagrams in the figures generally represent functional entities and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The same reference numerals denote the same or similar elements, components, or parts throughout the drawings, and thus, a repetitive description thereof may be omitted hereinafter. It will be further understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components, or sections, these elements, components, or sections should not be limited by these terms. That is, these phrases are used only to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention. Furthermore, the term "and/or", "and/or" is intended to include all combinations of any one or more of the listed items.
Fig. 1 is a flowchart of an automatic mobile operation adjustment method provided by the present invention, and as shown in fig. 1, the method includes:
s1, acquiring activity dotting data;
the dotting data includes, but is not limited to, daily and peak visit times. The daily activity, that is, the number of users active daily in DAU (dailyactive user), is usually used to reflect the operation condition of a website, an internet application or an online game, and the DAU usually counts the number of users logging in or using an application program for the promotion activity within one day (counting day) (removing users who log in repeatedly). The peak access time period refers to a time period with the largest access amount of the promotion application programs in one day (statistical day), and is specifically determined by counting the number of login promotion application programs in hours.
In this embodiment, the activity may be an activity operation promotion in the Application Program, and the daily activity and the peak access time period of the activity may be specifically obtained through an Application Program Interface (API) of the Application promotion activity.
S2, comparing the activity dotting data with the historical benchmark data of the activity, and judging the current operation state of the activity according to the comparison result and a preset decision set;
the activity history reference data is an average value of historical data of popularization activity of a certain application program, and specifically corresponds to the dotting data selected in the step S1. For example, the dotting data includes daily lives and peak access time periods, and correspondingly, the historical reference data includes historical daily lives and historical peak access time periods, wherein the historical daily lives are average values of data of the daily lives, and the historical peak access time periods are time periods in a data set of the peak access time periods.
The preset decision set may include at least two decisions of an activity ascending period, an activity stabilizing period, an activity descending period, and the like, and a specific decision may be set according to an actual requirement, which is not limited to the above three decisions.
In one embodiment, the method comprises the steps of:
when the activity dotting data are larger than a first reference value of the activity historical datum data, selecting an activity ascending period in the preset decision set as the current operation state of the activity;
when the activity dotting data are smaller than the first reference value of the activity historical datum and larger than the second reference value of the activity historical datum, selecting an activity stable period in the preset decision set as the current operation state of the activity;
and when the activity dotting data is smaller than a second reference value of the activity historical datum data, selecting an activity descending period in the preset decision set as the current operation state of the activity.
The first reference value is larger than the second reference value, and the first reference value and the second reference value can be set according to actual needs. If the dotting data simultaneously comprise daily and peak access time periods, determining the current active operation state according to the daily and peak data and the peak access time period data respectively, and preferentially determining the current active operation state according to the daily and peak data when the current active operation states determined by the daily and peak access time periods are inconsistent.
For example, as shown in fig. 2a, a small black dot R represents a historical daily activity of a certain activity R, a first reference value corresponding to a dashed line represents a daily activity with a value greater than the historical daily activity R as a first reference value, a second reference value corresponding to a dashed line represents a daily activity with a value less than the historical daily activity R as a second reference value, and when the daily activity of the activity R is above the first reference value corresponding to the dashed line, an activity ascending period in a preset decision set is selected as an activity current operation state; when the daily activity of the activity R is positioned between the dotted line corresponding to the first reference value and the dotted line corresponding to the second reference value, selecting an activity stable period in a preset decision set as the current operation state of the activity; and when the daily activity of the activity R is positioned below the corresponding dotted line of the second reference value, selecting the activity descending period in the preset decision set as the current operation state of the activity.
As shown in fig. 2b, the black rectangle represents a historical peak visit time period of a certain activity R, the corresponding dotted line of the first reference value represents a peak visit time period which is earlier than the historical peak visit time period and has a first reference value, the corresponding dotted line of the second reference value represents a peak visit time period which is later than the historical peak visit time period and has a second reference value, and when the peak visit time period of the activity R is above the corresponding dotted line of the first reference value, the activity rise period in the preset decision set is selected as the current operation state of the activity; when the peak visit time period of the activity R is between the dotted line corresponding to the first reference value and the dotted line corresponding to the second reference value, selecting an activity stable period in a preset decision set as the current operation state of the activity; and when the peak access time period of the activity R is positioned below the corresponding dotted line of the second reference value, selecting an activity descending period in a preset decision set as the current operation state of the activity.
And S3, adjusting the activity sequence and/or the activity display time according to the current operation state of the activity.
Illustratively, if the current operation state of the activity is an activity ascending period which indicates that most users are interested in promoting the current activity, sequencing the activity pages in advance and prolonging the display time of the activity pages; if the current operation state of the activity is an activity stable period which indicates that part of users are interested in promoting the current activity, keeping the current sequencing and activity display time of the activity pages unchanged; and if the current operation state of the activity is an activity descending period which indicates that most users are interested in the current activity promotion part, sequencing and post-arranging the activity pages after a preset time period.
The activity page refers to a page for promoting activities in the application program.
Further, in order to reduce the time for promoting and displaying the uninteresting activities, in the activity descending period, after the activity pages are sequenced and arranged at intervals of a preset time period, whether the activity dotting data is smaller than a preset threshold value or not can be judged; and when the activity dotting data is smaller than a preset threshold value, canceling the display of the activity page.
In one specific example, as shown in fig. 4, three active operation promotions are set in the application: activity 1, Activity 2, and Activity 3, wherein the starting sequence of Activity 1, Activity 2, and Activity 3 is: activity 3, activity 2, activity 3; the initial presentation time for campaign 1 was 10 minutes, the initial presentation time for campaign 2 was 15 minutes, and the initial presentation time for campaign 3 was 20 minutes. In order to automatically adjust the sequence and presentation time of campaign 1, campaign 2 and campaign 3, the present embodiment provides an automatic campaign operation adjustment method, as shown in fig. 3, the method including:
s301, acquiring activity dotting data;
wherein, the dotting data comprises daily life and visit peak time periods. Specifically, the information may be acquired through an Application Program Interface (API) of the Application promotion activity. For example, the daily activity of activity 1 is 36 million, the peak visit time period is 10-12 am, the daily activity of activity 2 is 2 million, the peak visit time period is 3-4 pm, the daily activity of activity 3 is 15 million, and the peak visit time period is 11-12 am.
S302, comparing the activity dotting data with the historical benchmark data of the activity, and judging the current operation state of the activity according to a comparison result and a preset decision set;
the historical baseline data includes historical daily lives, which are averages of individual daily life data, and historical peak access time periods, which are time periods in individual peak access time period datasets. The preset decision set comprises an activity ascending period, an activity stabilizing period and an activity descending period.
S303, adjusting the activity sequence and/or the activity display time according to the current operation state of the activity.
The steps S302 and S303 are the same as the steps S2 and S3, respectively, and taking fig. 4 as an example, in fig. 4, the historical daily activities of activity 1 are 16 ten thousand, the historical peak visit time period is 12 am to 1 pm, the historical daily activities of activity 2 are 15 ten thousand, the historical peak visit time period is 2 pm to 3 pm, the historical daily activities of activity 3 are 10 ten thousand, and the historical peak visit time period is 10 am to 12 pm. The first reference value of daily life may be set to 7 ten thousand, the second reference value may be set to 3 thousand, and the first reference value of the on-peak time period may be set to 2 hours, and the second reference value may be set to 1 hour. The daily activity of the activity 1 is 36 thousands, the visiting peak time period is 10-12 am, the daily activity of the activity 2 is 2 thousands, the visiting peak time period is 3-4 pm, the daily activity of the activity 3 is 15 thousands, and the visiting peak time period is 11-12 am.
Then for activity 1: the daily activity 36 ten thousand of the activity 1 is greater than the historical daily activity 16 ten thousand and exceeds the first reference value by 7 ten thousand, the visit peak time period of the activity 1 is 10-12 am before the historical visit peak time period of 12 am to 1 pm after the first reference value is 2 hours, and the activity rise period in the preset decision set is selected as the current operation state of the activity 1. If the activity rise period indicates that most users are interested in promoting the current activity 1, the activity 1 page sequence is advanced and the activity page display time is prolonged, for example, in fig. 4, the activity 1 page sequence is ranked second, and the activity 1 page display time is prolonged to 20 minutes.
For activity 2: 2 thousands of daily lives of the activities 2 are smaller than 15 thousands of historical daily lives and exceed a second reference value by 3 thousands, the visit peak time period of the activities 2 is 3-4 pm later than 1 hour later than the second reference value of 2-3 pm in the historical visit peak time period, and the activity descent period in the preset decision set is selected as the current operation state of the activities; and if the activity descending period indicates that most users are not interested in the promotion of the current activity 2, sequencing and postpositing the pages of the activity 2 at intervals of a preset time period. E.g., activity 2 page rank third after 5 minutes interval. Further, in order to reduce the time for popularizing and displaying the activity 2 page which is not interested by most users, whether the activity 2 dotting data is smaller than a preset threshold value or not can be judged; and when the activity 2 dotting data is smaller than the preset threshold value, canceling the activity page display. For example, if a preset daily and alive threshold value is set to be 5 thousands, a preset peak visit time period threshold value is 1-2 pm, 2 thousands of daily and alive of the activity 2 is less than 5 thousands of daily and alive threshold value, and a peak visit time period of the activity 2 is 3-4 pm later than the preset peak visit time period threshold value, the page display of the activity 2 is cancelled.
For activity 3: the daily activity of the activity 3 is 15 ten thousand greater than the historical daily activity by 10 ten thousand, exceeds the second reference value by 3 ten thousand and is less than the first reference value by 7 ten thousand, the visit peak time period of the activity 3 is 11-12 am earlier than the historical visit peak time period by 1 hour later than the second reference value of 10-12 am, and the activity stable period in the preset decision set is selected as the current operation state of the activity. And if the situation shows that part of users are interested in the promotion of the current activity 3, keeping the page sequencing and activity display time of the activity 3 unchanged.
And S304, generating an activity page reference report according to the activity page life cycle data.
In this step, the active page reference report may include a first reference report marking a dotting data peak and a second reference report marking an active page ranking priority. The activity page reference report may be used to reference adjustments to subsequent sequencing and presentation times of activities.
Wherein the generating of the first reference report comprises:
s21, generating a first tab diagram by the time points after the active page is on line and dotting data corresponding to each time point, and marking the peak value of the first tab diagram and the time point corresponding to the peak value;
and S22, adding the first fold line graph to a trend line, and generating a first reference report of the activity page.
The generating of the second reference report comprises:
s31, generating a second fold line graph from the sorting data of the activity page in different time periods, and marking the sorting priority of the activity page in different life cycles;
and S32, adding the second fold line graph to a trend line, and generating a second reference report of the activity page.
And S305, updating the activity history reference data according to the current activity dotting data.
Specifically, the current activity dotting data is accumulated to the last historical reference data, and an average value is taken to obtain updated historical reference data.
Those skilled in the art will appreciate that the modules in the above-described embodiments of the apparatus may be distributed as described in the apparatus, and may be correspondingly modified and distributed in one or more apparatuses other than the above-described embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as an implementation in physical form for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.
Fig. 5 is a schematic diagram of an automatic mobile operation adjusting apparatus according to the present invention, as shown in fig. 5, the apparatus includes:
the acquisition module is used for acquiring the activity dotting data;
the judging module is used for comparing the activity dotting data with the historical benchmark data of the activity and judging the current operation state of the activity according to a comparison result and a preset decision set;
and the adjusting module is used for adjusting the activity sequencing and/or the activity display time according to the current operation state of the activity.
And the report generation module is used for generating an activity page reference report according to the activity page life cycle data.
And the updating module is used for updating the activity historical reference data according to the current activity dotting data.
Further, the judging module includes:
the first judgment module is used for selecting an activity ascending period in the preset decision set as the current operation state of the activity when the activity dotting data is larger than the first reference value of the activity historical datum data;
a second judging module, configured to select an activity stability period in the preset decision set as the current operation state of the activity when the activity dotting data is smaller than the first reference value of the activity historical datum and larger than the second reference value of the activity historical datum;
a third judging module, configured to select an activity decline period in the preset decision set as the current operation state of the activity when the activity dotting data is smaller than a second reference value of the activity history reference data;
wherein the first reference value is greater than the second reference value.
Further, the adjusting module comprises:
the first adjusting module is used for advancing the sequencing of the activity pages and prolonging the display time of the activity pages if the current operation state of the activity is an activity ascending period;
the second adjusting module is used for keeping the current sequencing and the activity display time of the activity pages unchanged if the current operation state of the activity is an activity stable period;
and the third adjusting module is used for sequencing and postpositing the active pages after a preset time period if the current operation state of the activity is an activity descending period.
Further, the third adjusting module further includes:
the sub-judgment module is used for judging whether the activity dotting data is smaller than a preset threshold value or not;
and the sub-adjusting module is used for canceling the display of the activity page when the activity dotting data is smaller than a preset threshold value.
Further, the report generation module includes:
the first marking module is used for generating a first tab map from the time points after the active page is on line and dotting data corresponding to each time point, and marking the peak value of the first tab map and the time point corresponding to the peak value;
and the first generation module is used for adding a trend line to the first fold line graph and generating a first reference report of the activity page.
Further, the report generation module further comprises:
the second marking module is used for generating a second fold line map from the sorting data of the activity page in different time periods and marking the sorting priority of the activity page in different life cycles;
and the second generating module is used for adding a trend line to the second fold line graph and generating a second reference report of the activity page.
The dotting data comprises daily and/or visiting peak time periods, and correspondingly, the historical benchmark data comprises historical daily and/or historical visiting peak time periods.
Fig. 6 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. The electronic device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, the electronic device 600 of the exemplary embodiment is represented in the form of a general-purpose data processing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 that connects the various system components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.
The storage unit 620 stores a computer readable program, which may be a code of a source program or a read-only program. The program may be executed by the processing unit 610 such that the processing unit 610 performs the steps of various embodiments of the present invention. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203. The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 630 may be one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 600 may also communicate with one or more external devices 300 (e.g., keyboard, display, network device, bluetooth device, etc.), enable a user to interact with the electronic device 600 via the external devices 300, and/or enable the electronic device 600 to communicate with one or more other data processing devices (e.g., router, modem, etc.). Such communication can occur via input/output (I/O) interfaces 650, and can also occur via network adapter 660 with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet). The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
FIG. 7 is a schematic diagram of one computer-readable medium embodiment of the present invention. As shown in fig. 7, the computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. The computer program, when executed by one or more data processing devices, enables the computer-readable medium to implement the above-described method of the invention, namely: acquiring activity dotting data; comparing the activity dotting data with the historical benchmark data of the activity, and judging the current operation state of the activity according to a comparison result and a preset decision set; and adjusting the activity sequence and/or the activity display time according to the current operation state of the activity.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a data processing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In summary, the present invention can be implemented as a method, an apparatus, an electronic device, or a computer-readable medium executing a computer program. Some or all of the functions of the present invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP).
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
Claims (10)
1. An automatic mobile operation adjustment method, comprising:
acquiring activity dotting data;
comparing the activity dotting data with the historical benchmark data of the activity, and judging the current operation state of the activity according to a comparison result and a preset decision set;
and adjusting the activity sequence and/or the activity display time according to the current operation state of the activity.
2. The method of claim 1, wherein comparing the activity dotting data with historical baseline data of the activity, and determining the current operation state of the activity according to the comparison result and a preset decision set comprises:
when the activity dotting data are larger than a first reference value of the activity historical datum data, selecting an activity ascending period in the preset decision set as the current operation state of the activity;
when the activity dotting data are smaller than the first reference value of the activity historical datum and larger than the second reference value of the activity historical datum, selecting an activity stable period in the preset decision set as the current operation state of the activity;
when the activity dotting data are smaller than a second reference value of the activity historical datum data, selecting an activity descending period in the preset decision set as the current operation state of the activity;
wherein the first reference value is greater than the second reference value.
3. The method according to any of claims 1-2, wherein said adjusting said activity ranking and/or activity exposure time according to said active current operational state comprises:
if the current operation state of the activity is an activity ascending period, sequencing the activity pages in advance and prolonging the display time of the activity pages;
if the current operation state of the activity is an activity stable period, keeping the current sequencing and activity display time of the activity pages unchanged;
and if the current operation state of the activity is an activity descending period, sequencing and postpositing the activity pages after a preset time period.
4. The method according to any of claims 1-3, wherein if the active current operating status is an active down period, after sorting active pages and then postpositing them after a preset time period, the method further comprises:
judging whether the activity dotting data is smaller than a preset threshold value or not;
and when the activity dotting data is smaller than a preset threshold value, canceling the display of the activity page.
5. The method according to any one of claims 1-4, further comprising:
and generating an activity page reference report according to the activity page life cycle data.
6. The method of any of claims 1-5, wherein generating an activity page reference report based on activity page lifecycle data comprises:
generating a first tab map by time points after the active page is on line and dotting data corresponding to each time point, and marking the peak value of the first tab map and the time point corresponding to the peak value;
and adding a trend line to the first fold line graph to generate a first reference report of the activity page.
7. The method of any of claims 1-6, wherein generating an activity page reference report based on activity page lifecycle data further comprises:
generating a second fold line graph from the sorting data of the activity pages in different time periods, and marking the sorting priorities of the activity pages in different life cycles;
and adding a trend line to the second fold graph, and generating a second reference report of the activity page.
8. An automatic mobile operations adjustment apparatus, the apparatus comprising:
the acquisition module is used for acquiring the activity dotting data;
the judging module is used for comparing the activity dotting data with the historical benchmark data of the activity and judging the current operation state of the activity according to a comparison result and a preset decision set;
and the adjusting module is used for adjusting the activity sequencing and/or the activity display time according to the current operation state of the activity.
9. An electronic device, comprising:
a processor; and
a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-7.
10. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-7.
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