CN115115437B - Tobacco tar recommendation method and device for Internet of things electronic cigarette - Google Patents
Tobacco tar recommendation method and device for Internet of things electronic cigarette Download PDFInfo
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- CN115115437B CN115115437B CN202211002955.1A CN202211002955A CN115115437B CN 115115437 B CN115115437 B CN 115115437B CN 202211002955 A CN202211002955 A CN 202211002955A CN 115115437 B CN115115437 B CN 115115437B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
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- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/45—Commerce
Abstract
The embodiment of the invention discloses a tobacco tar recommendation method and device for an Internet of things electronic cigarette, wherein the method comprises the following steps: after a target electronic cigarette application program is started, acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range; calculating at least one target recommended tobacco tar for recommending to a user according to the target tobacco tar usage data; and recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule. According to the invention, the electronic cigarette of the Internet of things can automatically recommend the individual tobacco tar preferred by the user, the phenomenon that the user selects the tobacco tar which is not preferred by the user to smoke because the type of the tobacco tar cannot be identified is avoided, and the smoking experience of the electronic cigarette of the user can be improved.
Description
Technical Field
The invention relates to the technical field of Internet of things electronic cigarettes, in particular to a tobacco tar recommendation method and device of an Internet of things electronic cigarette.
Background
At present, the Internet of things electronic cigarette is more and more popular, and the frequency of electronic cigarette use is more and more high. The tobacco tar variety of electron cigarette has thousands of, and the taste that the user extracted the electron cigarette is all realized by tobacco tar intensification in the atomizer. However, most of electronic cigarettes have similar tobacco tar appearances, but the taste pursuits of each user for the electronic cigarettes are different, so that the user of the electronic cigarette is difficult to identify the favorite personalized tobacco tar from the appearances, how to make the internet-of-things electronic cigarette automatically recommend the favorite personalized tobacco tar for the user, and the problem that the user selects the favorite tobacco tar for smoking because the user cannot identify the type of the tobacco tar, which causes bad smoking experience for the user, is already needed to be solved urgently.
Disclosure of Invention
Based on this, it is necessary to provide a method and a device for recommending tobacco tar of an internet of things electronic cigarette to solve the following problems in the prior art: most of electronic cigarettes have quite similar tobacco tar appearances, but the taste pursuit of each user to the electronic cigarette is different, so that the user of the electronic cigarette is difficult to identify favorite personalized tobacco tar from the appearances, and the smoking experience of the user of the electronic cigarette is poor.
The first technical scheme of the embodiment of the invention is as follows:
a tobacco tar recommendation method for an Internet of things electronic cigarette comprises the following steps: after a target electronic cigarette application program is started, acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range; calculating at least one target recommended tobacco tar for recommending to a user according to the target tobacco tar usage data; recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule; wherein, according to each target tobacco tar usage data, calculating at least one target recommended tobacco tar for recommending to a user, comprises: respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to each target tobacco tar usage data; and calculating at least one target recommended tobacco tar for recommending to the user according to the target recommended score value corresponding to the target electronic tobacco tar of each type.
The second technical scheme of the embodiment of the invention is as follows:
the utility model provides a tobacco tar recommendation device of thing networking electron cigarette which includes: the data acquisition module is used for acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range after a target electronic cigarette application program is started; the data calculation module is used for calculating at least one target recommended tobacco tar for recommending to a user according to the target tobacco tar use data; the tobacco tar recommending module is used for recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule; wherein, according to each target tobacco tar usage data, calculating at least one target recommended tobacco tar for recommending to a user, comprises: respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to each target tobacco tar usage data; and calculating at least one target recommended tobacco tar for recommending to a user according to the target recommended score value corresponding to the target electronic tobacco tar of each type.
The third technical scheme of the embodiment of the invention is as follows:
a computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of:
after a target electronic cigarette application program is started, acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range; calculating at least one target recommended tobacco tar for recommending to a user according to the target tobacco tar usage data; recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule; wherein, according to each said target tobacco tar usage data, calculate at least one target recommended tobacco tar for recommending to the user, including: respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to each target tobacco tar usage data; and calculating at least one target recommended tobacco tar for recommending to the user according to the target recommended score value corresponding to the target electronic tobacco tar of each type.
The fourth technical solution of the embodiment of the present invention is:
a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
after a target electronic cigarette application program is started, acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range; calculating at least one target recommended tobacco tar for recommending to a user according to the target tobacco tar usage data; recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule; wherein, according to each said target tobacco tar usage data, calculate at least one target recommended tobacco tar for recommending to the user, including: respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to each target tobacco tar usage data; and calculating at least one target recommended tobacco tar for recommending to the user according to the target recommended score value corresponding to the target electronic tobacco tar of each type.
The embodiment of the invention has the following beneficial effects:
according to the method and the device, after the target electronic cigarette application program is started, the target tobacco tar use data corresponding to various electronic tobacco tar in a specified time range are obtained, then at least one target recommended tobacco tar for recommending to the user is calculated according to the target tobacco tar use data, and finally all the target recommended tobacco tar is recommended to the current electronic cigarette user according to the target preset rule, so that the Internet of things electronic cigarette can automatically recommend personalized tobacco tar preferred by the user, the situation that the user selects cigarette tar which is not preferred by the user to smoke due to the fact that the type of the cigarette tar cannot be identified is avoided, and the electronic cigarette smoking experience of the user can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Wherein:
fig. 1 is a flow chart illustrating an implementation of an embodiment of a method for recommending tobacco tar of an electronic cigarette based on the internet of things;
fig. 2 is a frame structure diagram of an embodiment of a tobacco tar recommendation device of an internet-of-things electronic cigarette in one embodiment;
FIG. 3 is a block diagram illustrating an embodiment of a computer device in one embodiment.
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.
Referring to fig. 1, as can be seen from fig. 1, the tobacco tar recommendation method for an internet of things electronic cigarette according to the embodiment of the present invention includes the following steps:
step S101: and after the target electronic cigarette application program is started, acquiring target tobacco tar use data corresponding to various electronic tobacco tar in a specified time range.
The target electronic cigarette application program is installed on the user intelligent terminal, and after the electronic cigarette user clicks the icon of the target electronic cigarette application program, the target electronic cigarette application program is started. The specified time range refers to a time range (several days, ten days, or one month, etc.) before the specified time range, and is not particularly limited in this step. The electronic cigarette oil comprises mango tobacco oil, grape tobacco oil, hami melon tobacco oil, coconut tobacco oil, strawberry tobacco oil and the like. The target tobacco tar usage data refers to data such as times data, duration data and power consumption of usage of tobacco tar by users.
Step S102: and calculating at least one target recommended tobacco tar for recommending to the user according to the target tobacco tar usage data.
Optionally, in this step, weight judgment is performed on each type of tobacco tar, the tobacco tar with the larger weight is more favored by the user, and the weight judgment is determined according to the target tobacco tar usage data.
Step S103: and recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule.
The target preset rule is a preset rule, is not limited to a certain rule, and is favorable for recommending all the target recommended tobacco tar to the current electronic cigarette user, so that the electronic cigarette user can quickly select favorite tobacco tar.
In this embodiment, optionally, the acquiring target tobacco tar usage data corresponding to various electronic tobacco tar within a specified time range includes:
first, all kinds of target e-plumes used by the user within the specified time range are obtained.
Wherein, every kind tobacco tar all is embedded to have acceleration sensor, and when electron cigarette user used a tobacco tar at every turn, the acceleration sensor that is embedded in this kind of tobacco tar will produce and remove and note the removal data, detects that the acceleration sensor that the tobacco tar corresponds has the removal data, then proves that it is in used by the user in the appointed time range.
Secondly, the target usage times of the target E-liquid of each kind used by the user within the specified time range are further obtained.
In the specified time range, each type of target electronic cigarette oil is used not only by an electronic cigarette user, but also more than once, and the target use times corresponding to the target electronic cigarette oil need to be acquired, and the more the used times, the more the electronic cigarette user likes the cigarette oil.
Thirdly, a target usage time of the target E-liquid of each kind used by a user within the specified time range is further obtained.
And calculating the target use time of each type of target electronic cigarette oil used by the user in the specified time range through the cigarette holder humidity sensor, wherein the longer the target use time is, the more favorite the electronic cigarette oil is for the user.
Fourthly, further acquiring target use power consumption corresponding to each type of the target electronic cigarette liquid in the specified time range.
And calculating the target use power consumption of each type of target electronic cigarette oil in the specified time range through the consumed cigarette oil or through the temperature change of a hot wire temperature-rising acceleration atomizer of the cigarette oil.
Fifthly, the target usage times, the target usage duration and the target usage power consumption corresponding to each type of the target electronic cigarette liquid in the specified time range are used as the target cigarette liquid usage data corresponding to the target electronic cigarette liquid in the specified time range.
In this embodiment, optionally, the calculating at least one target recommended tobacco tar for recommending to the user according to each target tobacco tar usage data includes:
firstly, respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to each target tobacco tar usage data.
The higher the score corresponding to the target recommended score value corresponding to the target electronic cigarette oil of each type is, the greater the user's preference for the electronic cigarette is. And when the target use times of the tobacco tar in the specified time range are more, the target use time length is longer and the target use power is higher, the target recommended score value corresponding to the target electronic tobacco tar of each type is higher.
Secondly, calculating at least one target recommended tobacco tar for recommending to a user according to the target recommended score value corresponding to the target electronic tobacco tar of each type.
The target electronic tobacco tar with the higher target recommendation score value is used as the target recommended tobacco tar recommended to the user, when the recommended tobacco tar is one type, the target electronic tobacco tar with the largest recommendation value is the target electronic tobacco tar corresponding to the target recommendation score value, and when the recommended tobacco tar is more than one type, the target electronic tobacco tar corresponding to the first target recommendation score values with the larger recommendation value is recommended at the same time.
In this embodiment, optionally, recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule includes:
firstly, ranking all the target recommended tobacco tar according to a target preset rule to obtain N-bit target recommended tobacco tar before ranking.
The first ranking is the favorite tobacco tar of the electronic cigarette user, the second ranking is the second favorite tobacco tar of the electronic cigarette user, and the rest are similar.
And secondly, displaying the N-bit target recommended tobacco tar before ranking in a display area of a corresponding target user intelligent terminal, wherein N is a positive integer greater than or equal to 1.
Thirdly, prompting operations including flicker are carried out by controlling target sensors embedded in the N top-ranked target recommended tobacco tar, and all the target recommended tobacco tar is recommended to the current electronic cigarette user.
Optionally, in this step, a flicker operation is performed by controlling a target sensor embedded in the N top-ranked target recommended tobacco tar, the flicker degree of the first top-ranked target recommended tobacco tar is the largest, and the flicker degrees of the remaining top-ranked target recommended tobacco tars are analogized accordingly.
In this embodiment, optionally, the further acquiring the target number of times of use of the target electronic cigarette oil of each kind used by the user within the specified time range includes:
firstly, the target moving frequency of the acceleration sensor embedded in the target electronic cigarette oil of each type in the specified time range is further obtained.
Secondly, acquiring the target use times of the target electronic cigarette oil of each type used by a user in the specified time range according to the target moving frequency.
In this embodiment, optionally, the further acquiring a target usage duration used by a user in the specified time range for each category of the target electronic cigarette oil includes:
first, the target number of uses of each category of the target e-liquid used by a user within the specified time frame is obtained.
Secondly, calculating the time length of each type of the target electronic cigarette oil used by the user in the appointed time range, and obtaining each target sub-use time length corresponding to each type of the target electronic cigarette oil.
Thirdly, summing the target sub-use durations to obtain the target use duration used by the user in the specified time range of each type of the target E-liquid.
In this embodiment, optionally, the further acquiring the target usage power consumption corresponding to each kind of the target electronic cigarette oil in the specified time range includes:
firstly, obtaining the use power consumption corresponding to each use of each kind of target electronic cigarette oil in the appointed time range, and obtaining each target sub-use power consumption.
The power consumption refers to the consumption of the tobacco tar or the temperature variation of the tobacco tar heating accelerating atomizer.
Secondly, summing the target sub-use power consumptions to obtain the target use power consumption corresponding to each type of the target electronic cigarette oil in the specified time range.
Referring to fig. 2, as can be obtained by referring to fig. 2, a tobacco tar recommendation device 100 of an internet of things electronic cigarette according to an embodiment of the present invention includes:
the data obtaining module 10 is configured to obtain target tobacco tar usage data corresponding to various electronic tobacco tar within a specified time range after the target electronic cigarette application program is started.
And the data calculation module 20 is configured to calculate at least one target recommended tobacco tar for recommending to the user according to each target tobacco tar usage data.
And the tobacco tar recommending module 30 is configured to recommend all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule.
FIG. 3 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be a terminal, and may also be a server. As shown in fig. 3, the computer device includes a processor, a memory, and a network interface connected by a system bus. The memory comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and also stores a computer program, and when the computer program is executed by the processor, the processor can realize the tobacco tar recommendation method of the internet of things electronic cigarette. The internal memory may also store a computer program, and when the computer program is executed by the processor, the processor may execute the method for recommending tobacco tar in the internet of things electronic cigarette. Those skilled in the art will appreciate that the architecture shown in fig. 3 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In another embodiment, a computer device is presented, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
after a target electronic cigarette application program is started, acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range; calculating at least one target recommended tobacco tar for recommending to a user according to the target tobacco tar usage data; recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule; wherein, according to each target tobacco tar usage data, calculating at least one target recommended tobacco tar for recommending to a user, comprises: respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to the target tobacco tar use data; and calculating at least one target recommended tobacco tar for recommending to a user according to the target recommended score value corresponding to the target electronic tobacco tar of each type.
In another embodiment, a computer-readable storage medium is proposed, in which a computer program is stored which, when executed by a processor, causes the processor to carry out the steps of:
after a target electronic cigarette application program is started, acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range; calculating at least one target recommended tobacco tar for recommending to a user according to the target tobacco tar usage data; recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule; wherein, according to each said target tobacco tar usage data, calculate at least one target recommended tobacco tar for recommending to the user, including: respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to each target tobacco tar usage data; and calculating at least one target recommended tobacco tar for recommending to a user according to the target recommended score value corresponding to the target electronic tobacco tar of each type.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct Rambus Dynamic RAM (DRDRAM), and Rambus Dynamic RAM (RDRAM), among others.
According to the embodiment of the invention, after the target electronic cigarette application program is started, the target tobacco tar use data corresponding to various electronic tobacco tar in a specified time range is obtained, then at least one target recommended tobacco tar for recommending to the user is calculated according to the target tobacco tar use data, and finally all the target recommended tobacco tar is recommended to the current electronic cigarette user according to the target preset rule, so that the Internet of things electronic cigarette can automatically recommend the personalized tobacco tar preferred by the user, the situation that the user selects the tobacco tar not preferred by the user for smoking because the type of the tobacco tar cannot be identified is avoided, and the smoking experience of the electronic cigarette of the user can be improved.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.
Claims (7)
1. A tobacco tar recommendation method for an Internet of things electronic cigarette is characterized by comprising the following steps:
after a target electronic cigarette application program is started, acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range;
calculating at least one target recommended tobacco tar for recommending to a user according to the target tobacco tar usage data;
recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule;
wherein, according to each target tobacco tar usage data, calculating at least one target recommended tobacco tar for recommending to a user, comprises:
respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to the target tobacco tar use data;
calculating at least one target recommended tobacco tar for recommending to a user according to the target recommended score value corresponding to each type of target electronic tobacco tar;
wherein, the obtaining of the target tobacco tar usage data corresponding to various electronic tobacco tar within the specified time range includes:
acquiring all kinds of target electronic cigarette oil used by a user within the specified time range;
further obtaining a target number of uses of each category of the target e-liquid by a user within the specified time range;
further obtaining a target usage duration of each type of the target E-liquid used by a user within the specified time range;
further acquiring target use power consumption corresponding to each type of target electronic cigarette oil within the specified time range;
taking the target usage times, the target usage duration and the target usage power consumption corresponding to each kind of the target electronic cigarette liquid in the specified time range as the target cigarette liquid usage data corresponding to the target electronic cigarette liquid in the specified time range;
wherein, according to the preset rule of target, recommend all the target recommended tobacco tar to current electron cigarette user, include:
ranking all the target recommended tobacco tar according to a target preset rule to obtain N-bit target recommended tobacco tar before ranking;
displaying the N-bit target recommended tobacco tar before ranking in a display area of a corresponding target user intelligent terminal, wherein N is a positive integer greater than or equal to 1;
and (4) carrying out prompt operation including flashing by controlling a target sensor embedded in the N positions of the target recommended tobacco tar before ranking, and recommending all the target recommended tobacco tar to the current electronic cigarette user.
2. The tobacco tar recommendation method of an internet of things electronic cigarette according to claim 1, wherein the further obtaining of the target number of uses of the target electronic tobacco tar of each category used by a user within the specified time range comprises:
further acquiring the target moving frequency of the acceleration sensor embedded in the target electronic cigarette oil of each type within the specified time range;
and acquiring the target use times of the target E-liquid of each type used by a user in the specified time range according to the target moving frequency.
3. The tobacco tar recommendation method of the internet of things electronic cigarette according to claim 1, wherein the further obtaining of the target usage duration of each category of the target electronic tobacco tar used by the user in the specified time range comprises:
acquiring the target use times of the target E-liquid of each kind used by a user within the specified time range;
calculating the time length of each type of the target electronic cigarette oil used by the user in the specified time range every time to obtain each target sub-use time length corresponding to each type of the target electronic cigarette oil;
and summing the target sub-use durations to obtain the target use duration used by the user in the specified time range for each type of the target E-liquid.
4. The method for recommending tobacco tar in an electronic cigarette based on the internet of things of claim 1, wherein the further obtaining a target usage power consumption corresponding to each type of the target electronic tobacco tar in the specified time range comprises:
acquiring the use power consumption corresponding to each use of each type of target electronic cigarette oil in the appointed time range to obtain the use power consumption of each target;
and summing the target sub-use power consumptions to obtain the target use power consumption corresponding to each type of the target electronic cigarette oil in the specified time range.
5. The utility model provides a tobacco tar recommendation device of thing networking electron cigarette which characterized in that includes:
the data acquisition module is used for acquiring target tobacco tar use data corresponding to various electronic tobacco tar within a specified time range after a target electronic cigarette application program is started;
the data calculation module is used for calculating at least one target recommended tobacco tar recommended to the user according to the target tobacco tar usage data;
the tobacco tar recommending module is used for recommending all the target recommended tobacco tar to the current electronic cigarette user according to a target preset rule;
wherein, according to each said target tobacco tar usage data, calculate at least one target recommended tobacco tar for recommending to the user, including:
respectively calculating a target recommended score value corresponding to each type of target electronic tobacco tar according to the target tobacco tar use data;
calculating at least one target recommended tobacco tar for recommending to a user according to the target recommended score value corresponding to the target electronic tobacco tar of each type;
wherein, the obtaining of the target tobacco tar usage data corresponding to various electronic tobacco tar within the specified time range includes:
acquiring all kinds of target electronic cigarette oil used by a user within the specified time range;
further obtaining a target number of uses of each category of the target e-liquid by a user within the specified time range;
further acquiring a target usage duration of each type of the target E-liquid used by a user within the specified time range;
further acquiring target use power consumption corresponding to each type of target electronic cigarette oil in the specified time range;
taking the target usage times, the target usage duration and the target usage power consumption corresponding to each kind of the target electronic cigarette liquid in the specified time range as the target cigarette liquid usage data corresponding to the target electronic cigarette liquid in the specified time range;
wherein, according to the preset rule of target, recommend all the target recommended tobacco tar to current electron cigarette user, include:
ranking all the target recommended tobacco tar according to a target preset rule to obtain N-bit target recommended tobacco tar before ranking;
displaying the N-bit target recommended tobacco tar before ranking in a display area of a corresponding target user intelligent terminal, wherein N is a positive integer greater than or equal to 1;
and (4) carrying out prompt operation including flicker by controlling the target sensors embedded in the N positions of the target recommended tobacco tar before ranking, and recommending all the target recommended tobacco tar to the current electronic cigarette user.
6. A computer-readable storage medium, in which a computer program is stored, and when executed by a processor, causes the processor to execute the method for recommending tobacco tar in an internet of things electronic cigarette according to any one of claims 1 to 4.
7. A computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the method of recommending tobacco tar for an Internet of things e-cigarette according to any one of claims 1 to 4.
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