CN112131465A - Activity information matching method, device, medium and terminal equipment - Google Patents
Activity information matching method, device, medium and terminal equipment Download PDFInfo
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- 238000004590 computer program Methods 0.000 claims description 16
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- G—PHYSICS
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- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
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- G06Q30/00—Commerce
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Abstract
The invention discloses an activity information matching method, which comprises the following steps: acquiring customer information; and obtaining activity information, wherein the activity information comprises activity development time; when the current time is determined to be within the activity development time, matching the client information from the activity information according to a preset matching rule to obtain optimal activity information; sending the optimal activity information to a client, recording user behavior information, and establishing a user portrait according to the user behavior information; according to the technical scheme, client information is matched from activity information according to a preset matching rule to obtain optimal activity information, and a user portrait is established through user behavior information; the technical problem that influence factors of interest of a client on activity information are not considered in the prior art, and the activity information pushing effect is poor is solved, so that the matching degree of the activity information is improved, and the practicability of an information pushing scheme is improved.
Description
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to a method, an apparatus, a medium, and a terminal device for matching activity information.
Background
In a traditional online marketing mode, after a customer places an order online, the system pushes the latest activity information to the client so that the customer can participate in more activities. However, in the prior art, the importance of the activity is often taken as a recommendation condition, and the influence factor of the interest of the client on the activity information is not considered, so that the activity information pushing effect is not good.
Disclosure of Invention
The invention provides an activity information matching method, which aims to solve the technical problem that the activity information pushing effect is poor due to the fact that influence factors of interest of clients on activity information are not considered in the prior art.
In order to solve the above technical problem, an embodiment of the present invention provides an activity information matching method, including:
acquiring customer information; and obtaining activity information, wherein the activity information comprises activity development time;
when the current time is determined to be within the activity development time, matching the client information from the activity information according to a preset matching rule to obtain optimal activity information;
and sending the optimal activity information to a client, recording user behavior information, and establishing a user portrait according to the user behavior information.
Preferably, after the user representation is created according to the user behavior information, the method further includes: and acquiring an attenuation factor, and updating the user portrait according to the attenuation factor.
Preferably, the customer information includes a customer type, a customer range, a customer gender, a customer location, and a historical consumption record.
Preferably, the preset matching rule includes an activity relationship condition and an activity priority.
Accordingly, another embodiment of the present invention provides an activity information matching apparatus, including:
the information acquisition module is used for acquiring client information; and obtaining activity information, wherein the activity information comprises activity development time;
the information matching module is used for matching the client information from the activity information according to a preset matching rule to obtain optimal activity information when the current time is determined to be within the activity development time;
and the user portrait module is used for sending the optimal activity information to a client, recording user behavior information and establishing a user portrait according to the user behavior information.
Preferably, the activity information matching apparatus further includes: and the portrait updating module is used for acquiring an attenuation factor after the user portrait is established according to the user behavior information, and updating the user portrait according to the attenuation factor.
Preferably, the customer information includes a customer type, a customer range, a customer gender, a customer location, and a historical consumption record.
Preferably, the preset matching rule includes an activity relationship condition and an activity priority.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein the computer program controls an apparatus on which the computer readable storage medium is located to perform the activity information matching method according to any one of the above.
The embodiment of the present invention further provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor implements the activity information matching method according to any one of the above items when executing the computer program.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the technical scheme, client information is matched from activity information according to a preset matching rule to obtain optimal activity information, and a user portrait is established through user behavior information; the technical problem that influence factors of interest of a client on activity information are not considered in the prior art, and the activity information pushing effect is poor is solved, so that the matching degree of the activity information is improved, and the practicability of an information pushing scheme is improved.
Drawings
FIG. 1 is a flowchart illustrating steps of an activity information matching method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an activity information matching apparatus according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Example one
Referring to fig. 1, a flowchart of steps of an activity information matching method according to an embodiment of the present invention includes steps 101 to 103, where each step includes:
step 101, obtaining client information; and obtaining activity information, wherein the activity information comprises activity development time. In this embodiment, the customer information includes a customer type, a customer range, a customer gender, a customer location, and a historical consumption record.
And 102, when the current time is determined to be within the activity development time, matching the client information from the activity information according to a preset matching rule to obtain the optimal activity information. In this embodiment, the preset matching rule includes an activity relationship condition and an activity priority.
And 103, sending the optimal activity information to a client, recording user behavior information, and establishing a user portrait according to the user behavior information. In this embodiment, after the creating a user portrait according to the user behavior information, the method further includes: and acquiring an attenuation factor, and updating the user portrait according to the attenuation factor.
Specifically, in the transaction environment of ordering and settling, the system verifies the client information such as client type, client range, client gender, client location, historical consumption condition and the like, and matches the marketing campaign and coupons whose current client information meets the campaign threshold in the marketing system, and according to the campaign relationship conditions and the campaign priorities configured in the marketing strategy of marketing management, the system can form two campaign schemes: 1. general activities/coupons + mutual exclusion activities/coupons; 2. exclusive campaigns/coupons. Through calculation, an optimal solution, namely a marketing scheme with the maximum preferential amplitude is preferentially matched for the customer; continuously collecting user data by recording user behavior information and quantitative questionnaire investigation to obtain population attributes, business attributes, consumption characteristics, life forms and CRM of the user; analyzing the collected user data, and according to a data modeling formula: the user identification + time + behavior type + contact point (website + content) tags the behavior of the user, the weight of the user tag may be attenuated along with the increase of the time, so the time is defined as an attenuation factor r, the behavior type and the website determine the weight, the content determines the tag, and the formula is further converted into: the label weight is attenuation factor x behavior weight x website sub-weight. Finally, user portrait and activity data statistics are formed.
The marketing system may consist of 3 major parts: campaign management, coupon management, marketing management. The system supports various marketing modes such as full discount activities, full gift activities, random instant discount, time-limited second killing, discount, full discount coupons, activity coupons and shopping coupons through reasonable modeling and decoupling. In addition, the marketing system supports multiple dimension configuration activities, and provides customized and differentiated marketing service for each customer. The corresponding limit rule can be configured according to the order type aiming at the order applicable type, and whether the limit corresponding to the order type is counted in consumption during the activity period is flexibly configured; collecting user data through a system to form a user portrait and calculating a client type; the activities and coupons are divided into generic activities/coupons, mutually exclusive activities/coupons, exclusive activities/coupons using the activity policy.
Because marketing campaigns are based on department teams, business line-based, customer type, cross-over threshold of money, product purchase, number of purchases and the like, the diversity of marketing campaigns requires that the marketing system supports large data volume, and can provide quick-response service and ensure data consistency. Different data models need to be established respectively to support rapid increase of data volume, marketing is normal, most hot sales products are promoted at any time, the promotion data has high change rate and large data volume, and a technical framework based on database sub-base sub-tables, high-efficiency large-batch MQ and cache clusters needs to be established. Besides, various mutually exclusive and overlapped rule setting and calculation are supported, and a rule engine technical architecture is required.
According to the technical scheme, client information is matched from activity information according to a preset matching rule to obtain optimal activity information, and a user portrait is established through user behavior information; the technical problem that influence factors of interest of a client on activity information are not considered in the prior art, and the activity information pushing effect is poor is solved, so that the matching degree of the activity information is improved, and the practicability of an information pushing scheme is improved.
Example two
Accordingly, referring to fig. 2, a schematic structural diagram of an activity information matching apparatus according to another embodiment of the present invention is shown, including:
the information acquisition module is used for acquiring client information; and obtaining activity information, wherein the activity information comprises activity development time. In this embodiment, the customer information includes a customer type, a customer range, a customer gender, a customer location, and a historical consumption record.
And the information matching module is used for matching the client information from the activity information according to a preset matching rule to obtain the optimal activity information when the current time is determined to be within the activity development time. In this embodiment, the preset matching rule includes an activity relationship condition and an activity priority.
And the user portrait module is used for sending the optimal activity information to a client, recording user behavior information and establishing a user portrait according to the user behavior information.
In this embodiment, the activity information matching apparatus further includes: and the portrait updating module is used for acquiring an attenuation factor after the user portrait is established according to the user behavior information, and updating the user portrait according to the attenuation factor.
EXAMPLE III
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein, when running, the computer program controls the device on which the computer readable storage medium is located to execute the activity information matching method according to any of the above embodiments.
Example four
The embodiment of the present invention further provides a terminal device, where the terminal device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the activity information matching method according to any of the above embodiments when executing the computer program.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program) that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor may be any conventional Processor, the Processor is a control center of the terminal device, and various interfaces and lines are used to connect various parts of the terminal device.
The memory mainly includes a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the data storage area may store related data and the like. In addition, the memory may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or may also be other volatile solid state memory devices.
It should be noted that the terminal device may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the terminal device is only an example and does not constitute a limitation of the terminal device, and may include more or less components, or combine some components, or different components.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. An activity information matching method, comprising:
acquiring customer information; and obtaining activity information, wherein the activity information comprises activity development time;
when the current time is determined to be within the activity development time, matching the client information from the activity information according to a preset matching rule to obtain optimal activity information;
and sending the optimal activity information to a client, recording user behavior information, and establishing a user portrait according to the user behavior information.
2. The activity information matching method of claim 1, further comprising, after said creating a user representation based on said user behavior information: and acquiring an attenuation factor, and updating the user portrait according to the attenuation factor.
3. The activity information matching method of claim 1, wherein the client information includes client type, client scope, client gender, client location and historical consumption record.
4. The activity information matching method of claim 1, wherein the predetermined matching rules include activity relationship conditions and activity priorities.
5. An activity information matching apparatus, comprising:
the information acquisition module is used for acquiring client information; and obtaining activity information, wherein the activity information comprises activity development time;
the information matching module is used for matching the client information from the activity information according to a preset matching rule to obtain optimal activity information when the current time is determined to be within the activity development time;
and the user portrait module is used for sending the optimal activity information to a client, recording user behavior information and establishing a user portrait according to the user behavior information.
6. The activity information matching apparatus according to claim 5, further comprising: and the portrait updating module is used for acquiring an attenuation factor after the user portrait is established according to the user behavior information, and updating the user portrait according to the attenuation factor.
7. The activity information matching apparatus as claimed in claim 5, wherein the client information includes client type, client range, client gender, client location and historical consumption record.
8. The activity information matching apparatus of claim 5, wherein the predetermined matching rule comprises an activity relation condition and an activity priority.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the activity information matching method according to any one of claims 1 to 4.
10. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the activity information matching method according to any one of claims 1 to 4 when executing the computer program.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010963033.1A CN112131465A (en) | 2020-09-14 | 2020-09-14 | Activity information matching method, device, medium and terminal equipment |
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| CN202010963033.1A CN112131465A (en) | 2020-09-14 | 2020-09-14 | Activity information matching method, device, medium and terminal equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112667903A (en) * | 2020-12-31 | 2021-04-16 | 北京博瑞彤芸科技股份有限公司 | Method and system for intelligently acquiring customer |
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