CN109658198B - Commodity recommendation method and mobile terminal - Google Patents

Commodity recommendation method and mobile terminal Download PDF

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CN109658198B
CN109658198B CN201811584362.4A CN201811584362A CN109658198B CN 109658198 B CN109658198 B CN 109658198B CN 201811584362 A CN201811584362 A CN 201811584362A CN 109658198 B CN109658198 B CN 109658198B
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commodity
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reference commodity
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CN109658198A (en
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李景玉
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Vivo Mobile Communication Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0603Catalogue ordering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • G06Q30/0625Directed, with specific intent or strategy
    • G06Q30/0629Directed, with specific intent or strategy for generating comparisons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations

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Abstract

The invention provides a commodity recommendation method and a mobile terminal, and belongs to the technical field of communication. The commodity recommendation method comprises the following steps: establishing a recommendation list of a reference commodity according to a first parameter of the reference commodity; acquiring demand information of a user; displaying a recommendation list of target commodities matched with the demand information in the reference commodities; wherein the recommendation list comprises shelf life information of the target commodity. In the embodiment of the invention, the recommendation list of the target commodity can comprise the quality guarantee period information of the target commodity, so that a user can be reminded to preferentially use the reference commodity with a shorter quality guarantee period, waste caused by the fact that the quality guarantee period of the reference commodity is over can be avoided, and the cost of the reference commodity is saved.

Description

Commodity recommendation method and mobile terminal
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a commodity recommendation method and a mobile terminal.
Background
With the development of social economy, the pace of life of people is faster and faster. In order to improve shopping efficiency, people often purchase a large amount of goods through one-time purchase, for example, people are often used to go to a supermarket on weekends to make one-time large-purchase for purchasing food for one week.
However, purchasing a large number of products by one purchase can improve the efficiency of shopping, but waste due to the products is often easily forgotten. For example, in the case of food products having a shelf life, the shelf life is likely to be over-expired due to forgetting to use the food in a timely manner.
Disclosure of Invention
The invention provides a commodity recommendation method and a mobile terminal, which are used for solving the problem that the existing commodity with a quality guarantee period is easy to waste due to the fact that the quality guarantee period is over.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a commodity recommendation method, which is applied to a mobile terminal, and the method may include:
establishing a recommendation list of a reference commodity according to a first parameter of the reference commodity;
acquiring demand information of a user;
displaying a recommendation list of target commodities matched with the demand information in the reference commodities; wherein the recommendation list comprises shelf life information of the target commodity.
In a second aspect, an embodiment of the present invention provides a mobile terminal, where the mobile terminal may include:
the recommendation list establishing module is used for establishing a recommendation list of the reference commodity according to the first parameter of the reference commodity;
the acquisition module is used for acquiring the demand information of the user;
the display module is used for displaying a recommendation list of the target commodity matched with the demand information in the reference commodity; wherein the recommendation list comprises shelf life information of the target commodity.
In a third aspect, an embodiment of the present invention provides a mobile terminal, including a processor, a memory, and a computer program stored on the memory and operable on the processor, where the computer program, when executed by the processor, implements the steps of the product recommendation method according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when executed by a processor, the computer program implements the steps of the product recommendation method according to the first aspect.
In the embodiment of the invention, the recommendation list of the reference commodity can be established according to the first parameter of the reference commodity, the recommendation list of the target commodity matched with the demand information in the reference commodity can be displayed according to the demand information of the user, and the target commodity can be sorted according to the recommendation value in the recommendation list of the target commodity, so that the user can visually know the information of the target commodity. In practical application, the recommendation list of the target commodity can include the quality guarantee period information of the target commodity, so that a user can be reminded to preferentially use a reference commodity with a short quality guarantee period, waste caused by the fact that the quality guarantee period of the reference commodity is over can be avoided, and the cost of the reference commodity is saved.
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Fig. 1 is a flowchart of a product recommendation method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for creating a recommendation list according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a recommendation list provided by an embodiment of the present invention;
fig. 4 is a block diagram of a mobile terminal according to an embodiment of the present invention;
FIG. 5 is a block diagram of a recommendation list creation module provided by embodiments of the present invention;
fig. 6 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments 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 some, not all, embodiments of the present invention. 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
Fig. 1 is a flowchart of a product recommendation method according to an embodiment of the present invention, and as shown in fig. 1, the method may be applied to a mobile terminal, and the method may include:
step 101: and establishing a recommendation list of the reference commodity according to the first parameter of the reference commodity.
In an embodiment of the present invention, the reference product may be a product with a shelf life, for example: the embodiments of the present invention are not limited to specific contents of the reference commodities.
Specifically, in step 101, a recommendation list of the reference product may be established according to the first parameter of the reference product.
Fig. 2 is a flowchart of a method for establishing a recommendation list according to an embodiment of the present invention, and as shown in fig. 2, the method may include:
step 1011: acquiring a plurality of first parameters of a reference commodity; the plurality of first parameters includes a production date and an expiration date.
In an embodiment of the present invention, the plurality of first parameters of the reference product may include at least a production date and a shelf life. Optionally, the first parameter may further include: purchase price and purchase frequency.
Two examples of methods for obtaining the plurality of first parameters of the reference product are provided below.
The first method for acquiring the first parameter of the reference commodity comprises the following steps: and scanning the preset identification code of the reference commodity, and determining a plurality of first parameters of the reference commodity.
In practical application, the plurality of first parameters of the reference product may be pre-stored in the preset identification code, so that when the user obtains the reference product, the user may obtain the plurality of first parameters of the reference product by scanning the preset identification code. The efficiency of obtaining the plurality of first parameters of the reference commodity is high.
For example, the first parameters such as the production date, the quality guarantee period, the price and the like of the food can be stored in the preset identification code of the food in advance, and when the user purchases the food, the first parameters such as the production date, the quality guarantee period, the price and the like of the food can be obtained, so that the efficiency is high.
It can be understood that, in practical application, the preset identification code may be any one of identification codes such as a bar code and a two-dimensional code, and the specific type of the preset identification code may not be limited in the present invention.
The second method for acquiring the first parameter of the reference commodity comprises the following steps:
firstly, the commodity category of the to-be-recommended commodity is obtained.
In practical application, when the reference product has no preset identification code, the user can take an image of the reference product when obtaining the reference product. By identifying the image of the reference commodity, the commodity category of the reference commodity can be acquired.
For example, when a user obtains a vegetable given by a friend and without a preset identification code, an image of the vegetable may be captured, and the category of the vegetable may be obtained by identifying the image of the vegetable.
And then, under the condition that the commodity category is matched with a preset commodity category, determining a preset first parameter corresponding to the preset commodity category as a first parameter of the reference commodity.
In the embodiment of the invention, the commodity category can be preset to determine the preset commodity category, and the preset first parameter corresponding to the preset commodity category is set.
For example, vegetables may be classified in advance, and preset first parameters such as a preset shelf life and a preset price corresponding to each category of vegetables may be determined.
In practical application, when the commodity category is matched with a preset commodity category, a preset first parameter corresponding to the preset commodity category may be determined as a first parameter of the reference commodity, so as to determine the first parameter of the recommended commodity.
For example, after the vegetable category without the preset identification code is obtained as celery, the celery and the preset vegetable category may be matched, and after the celery is matched with the preset celery in the preset vegetable category, the preset quality guarantee period, the preset price and the like of the preset celery may be used as the quality guarantee period and the price of the celery.
In practical application, when the reference commodity has no preset identification code, the commodity category of the to-be-recommended commodity can be obtained, and when the commodity category is matched with the preset commodity category, the preset first parameter corresponding to the preset commodity category is determined as the first parameter of the reference commodity, so that the first parameter of the reference commodity is determined, and the way of obtaining the first parameter of the reference commodity is enriched.
It can be understood that, in practical applications, in a case that the commodity category of the reference commodity cannot be matched with the preset commodity category, the mobile terminal may further receive input content of a user, so as to determine the first parameter of the reference commodity according to the input content of the user.
For example, in the case that a vegetable category without a preset identification code obtained by a user cannot be matched with a preset vegetable category, first parameters such as shelf life, production date and price of the vegetable manually input by the user can be received.
Step 1012: and determining the recommendation index of the reference commodity according to the plurality of first parameters.
In the embodiment of the present invention, the recommendation index of the reference product may be determined according to the plurality of first parameters, so as to determine the recommendation order of the recommended product according to the recommendation index.
A specific example of determining the recommendation index for the reference good is provided below.
First, according to the at least one first parameter, a first coefficient corresponding to each first parameter is determined.
In this embodiment of the present invention, the first parameter and the first coefficient may correspond to each other, and the first parameter includes: the first coefficient may include a shelf life coefficient, a price coefficient, and a user preference coefficient, respectively, in case of production date, shelf life, price, and purchase frequency.
In practical applications, the shelf life coefficient may be determined according to a ratio of the number of days of the current date from the production date to the shelf life, and the shelf life coefficient may be used to evaluate how close the reference product is to the shelf life expiration date, and a larger value of the shelf life coefficient indicates that the reference product is closer to the shelf life expiration date, and the recommended product is more worthy of recommendation.
In particular, the shelf life of the reference commodity may be represented by DATE, the number of days the current DATE is from the production DATE may be represented by D, and the shelf life factor may be represented by a. The shelf life factor a can be determined by the following equation.
A=D/DATE (1)
In practical applications, the price coefficient may be determined according to a ratio of the price to a preset average price, and the price coefficient may be used to evaluate the value of the reference commodity. The larger the value of the price coefficient is, the higher the value of the reference commodity is, and the more the reference commodity is worth recommending.
Specifically, the purchase PRICE of the reference commodity may be represented by P, the preset average PRICE of the reference commodity may be represented by spice, the PRICE coefficient may be represented by B, and the PRICE coefficient B may be determined by the following formula.
B=P/PRICE (2)
It will be appreciated that the preset average PRICE PRICE of the reference commodity may be stored in advance. For example, the average PRICE of the reference commodity of yogurt, meat, etc. type may be stored to determine the preset average PRICE PRICE of the reference commodity of yogurt, meat, etc.
In practical application, the user preference coefficient may be determined according to a ratio of the purchase frequency to a preset frequency, and the user preference coefficient may be used to evaluate the preference degree of the user for the reference product. The higher the value of the likeness coefficient is, the more the recommended commodity is liked by the user, and the more the recommended commodity is worth recommending.
Specifically, the purchase frequency of the reference product may be represented by F, the preset frequency of the recommended product may be represented by FRE, and the like factor may be represented by C, and the like factor C may be determined by the following formula.
C=F/FRE (3)
It is understood that the FRE of the reference product may be preset. For example, the preset frequency may be 4 times, 5 times, or 6 times, and the specific value of the preset frequency FRE is not limited in the embodiment of the present invention
And then, obtaining the recommendation index of the reference commodity according to the sum of the products of each first coefficient and the corresponding weight factor.
In the embodiment of the invention, the recommendation coefficient of the reference commodity can be obtained according to the sum of the products of each first coefficient and the corresponding weight factor. Specifically, the recommendation index of the reference commodity can be obtained according to the sum of the product of the quality guarantee period coefficient, the price coefficient and the user preference coefficient with the corresponding weight factor.
In practical applications, the weighting factor corresponding to the expiration date coefficient a may be represented by α, the weighting factor corresponding to the price coefficient may be represented by β, the weighting factor corresponding to the user preference coefficient C may be represented by γ, and the recommendation index may be represented by Rec, so that the recommendation index Rec may be determined by the following formula.
Rec=α*A+β*B+γ*C (4)
It is understood that, in practical applications, the sum of the three values α, β, and γ is 1, and the specific values of α, β, and γ can be set according to practical situations, and the specific values of α, β, and γ in the embodiment of the present invention may not be limited.
For example, in the case where the user is concerned about the shelf life of the reference commodity, the value of α may be set to be large. For another example, in a case where the user pays attention to the price of the reference product, the value of β may be set large.
In the embodiment of the invention, the recommendation index of the reference commodity is obtained by comprehensively evaluating the degree of the reference commodity approaching the expiration date, the value of the reference commodity and the preference degree of the user to the reference commodity, and the recommendation index can comprehensively evaluate the recommendation value of the reference commodity. In practical application, the larger the recommendation index of the reference commodity is, the larger the recommendation value of the reference commodity is.
Step 1013: and sequencing the reference commodities according to the recommendation index, and establishing a recommendation list of the reference commodities.
In the embodiment of the invention, the larger the recommendation index of the reference commodity is, the larger the recommendation value of the reference commodity is. Accordingly, the reference goods may be sorted by the recommendation index to determine a recommendation list for the reference goods.
Specifically, in the recommendation list, the reference commodities may be sorted according to the size of the recommendation index, the reference commodity with a larger recommendation index may be placed at a front position, and the reference commodity with a smaller recommendation index may be placed at a rear position, so that the reference commodity with a larger recommendation value may be preferentially seen by the user.
In practical application, in order to enable a user to intuitively know the information of the reference commodity through the recommendation list, the list to be recommended may further include information such as a name, a thumbnail, a remaining number, and shelf life information of the reference commodity.
In the embodiment of the invention, in order to facilitate the user to visually obtain the quality guarantee period information of the reference commodity, the quality guarantee period information can be the number of days from the current date to the quality guarantee period deadline of the reference commodity.
For example, in the case where the reference commodity is yogurt, if the current date is 3 days from the expiration date of the yogurt, the expiration date information may be "expiration date is still 3 days".
Fig. 3 is a schematic diagram of a recommendation list according to an embodiment of the present invention, and as shown in fig. 3, the recommendation list may include two reference commodities, namely a reference commodity a and a reference commodity B, where a recommendation index of the reference commodity a is greater than that of the reference commodity B, and therefore, the reference commodity a is placed at a front position. As shown in fig. 3, thumbnail images 301 of the reference product a and the reference product B, expiration date information 302, remaining number 303, and the like may be included in the recommendation list.
In the embodiment of the invention, the recommendation list of the reference commodity is established through the first parameter of the reference commodity, the reference commodity can be arranged according to the recommendation value through the recommendation list, and the information of the reference commodity can be visually displayed.
Step 102: and acquiring the requirement information of the user.
In the embodiment of the invention, the demand information of the user for the reference commodity can be acquired so as to know the type of the reference commodity required by the user.
In an alternative embodiment of the present invention, the requirement information of the user may be determined according to the voice instruction of the user. The specific method comprises the following steps:
first, a voice instruction of a user is received.
In the embodiment of the invention, the voice instruction of the user can be acquired through a microphone and other devices of the mobile terminal.
And then, acquiring the requirement information of the user according to the voice instruction.
In the embodiment of the invention, the requirement information of the user can be acquired according to the voice instruction received by the microphone.
For example, in the case that the voice command received by the microphone is "yogurt", it may be determined that the reference product required by the user is yogurt.
In practical application, the requirement information of the user is determined according to the voice instruction of the user, so that the accuracy of the requirement information is high.
In another optional embodiment of the present invention, the requirement information of the user may be determined by the shooting content of the camera of the mobile terminal.
First, a camera shooting content in a mobile terminal is detected.
In the embodiment of the invention, the shooting content of the camera of the mobile terminal can be detected in real time.
And then, determining the demand information of the user according to the shooting time under the condition that the shooting content is a preset reference commodity.
In the embodiment of the invention, the reference commodity can be preset to determine the preset reference commodity. For example, the preset reference commodity may be a snack, a food material, or a food such as fruit.
In practical application, when the shot content is a preset reference commodity, it can be considered that the user has a need to acquire the preset recommended commodity. For example, when the shot content is a food, it is considered that the user has a need to obtain the food.
In the embodiment of the invention, the requirement information of the user can be determined according to the shooting time. To improve the accuracy of the user information needs. For example, if the shooting time is breakfast time when the shooting content is food, it is considered that the recommended product required by the user is breakfast food.
In practical application, the requirement information of the user is automatically determined through the shooting content of the camera of the mobile terminal, so that the acquisition mode of the requirement information is relatively intelligent, and the automation degree is relatively high.
Step 103: and displaying a recommendation list of the target commodity matched with the demand information in the reference commodity, wherein the recommendation list comprises the shelf life information of the target commodity.
In the embodiment of the invention, the recommendation list of the target commodity matched with the demand information in the reference commodity can be displayed according to the demand information of the user, and the target commodities can be sorted according to the recommendation value in the recommendation list of the target commodity, so that the user can visually know the information of the target commodity. In practical application, the recommendation list of the target commodity can include the quality guarantee period information of the target commodity, so that a user can be reminded to preferentially use a reference commodity with a short quality guarantee period, waste caused by the fact that the quality guarantee period of the reference commodity is over can be avoided, and the cost of the reference commodity is saved.
In summary, the commodity recommendation method according to the embodiment of the present invention at least includes the following advantages:
in the embodiment of the invention, the recommendation list of the reference commodity can be established according to the first parameter of the reference commodity, the recommendation list of the target commodity matched with the demand information in the reference commodity can be displayed according to the demand information of the user, and the target commodity can be sequenced according to the recommendation value in the recommendation list of the target commodity, so that the user can visually know the information of the target commodity. In practical application, the recommendation list of the target commodity can include the quality guarantee period information of the target commodity, so that a user can be reminded to preferentially use a reference commodity with a short quality guarantee period, waste caused by the fact that the quality guarantee period of the reference commodity is over can be avoided, and the cost of the reference commodity is saved.
Example two
Fig. 4 is a block diagram of a mobile terminal according to an embodiment of the present invention, and as shown in fig. 4, the mobile terminal 400 may include:
the recommendation list establishing module 401 is configured to establish a recommendation list of a reference product according to a first parameter of the reference product.
An obtaining module 402, configured to obtain requirement information of a user.
A display module 403, configured to display a recommendation list of target commodities, which are matched with the demand information, in the reference commodities; wherein the recommendation list comprises shelf life information of the target commodity.
Fig. 5 is a block diagram of a recommendation list establishing module according to an embodiment of the present invention, and as shown in fig. 5, the recommendation list establishing module 401 may include:
a first obtaining sub-module 4011 configured to obtain a plurality of first parameters of a reference product; the plurality of first parameters shelf life.
The determining sub-module 4012 is configured to determine the recommendation index of the reference product according to the plurality of first parameters.
The recommendation list establishing sub-module 4013 is configured to sort the reference commodities according to the recommendation index, and establish a recommendation list of the reference commodities.
Optionally, the determining sub-module 4012 may include:
and the first determining unit is used for determining a first coefficient corresponding to each first parameter according to the plurality of first parameters.
And the second determining unit is used for obtaining the recommendation index of the reference commodity according to the sum of the products of each first coefficient and the corresponding weight factor.
Optionally, the first parameter may further include: purchase price and purchase frequency, the first coefficient may include a shelf life coefficient, a price coefficient and a user preference coefficient;
the first determination unit includes;
a first determining subunit, configured to determine the shelf life coefficient according to a ratio of the number of days of the current date from the production date to the shelf life.
And the second determining subunit is used for determining the price coefficient according to the ratio of the purchase price to a preset average price.
And the third determining subunit is used for determining the user preference coefficient according to the ratio of the purchase frequency to the preset frequency.
Optionally, the first obtaining sub-module 4011 may include:
and the third determining unit is used for scanning the preset identification code of the reference commodity and determining a plurality of first parameters of the reference commodity.
Optionally, the first obtaining sub-module 4011 may include:
and the acquisition unit is used for acquiring the commodity category of the to-be-recommended commodity.
And the fourth determining unit is used for determining a preset first parameter corresponding to the preset commodity category as the first parameter of the reference commodity under the condition that the commodity category is matched with the preset commodity category.
Optionally, the obtaining module 402 may include:
and the receiving submodule is used for receiving a voice instruction of a user.
And the second acquisition submodule is used for acquiring the requirement information of the user according to the voice instruction.
Optionally, the obtaining module 402 may include:
and the detection submodule is used for detecting the shooting content of the camera in the mobile terminal.
A third obtaining sub-module, configured to obtain the user demand information according to the shooting time when the shooting content is a preset reference commodity
In summary, the mobile terminal provided in the embodiment of the present invention can implement each process implemented by the mobile terminal in the method embodiment of fig. 1, and is not described herein again to avoid repetition.
In the embodiment of the invention, the recommendation list of the reference commodity can be established according to the first parameter of the reference commodity, the recommendation list of the target commodity matched with the demand information in the reference commodity can be displayed according to the demand information of the user, and the target commodity can be sequenced according to the recommendation value in the recommendation list of the target commodity, so that the user can visually know the information of the target commodity. In practical application, the recommendation list of the target commodity can include the quality guarantee period information of the target commodity, so that a user can be reminded to preferentially use a reference commodity with a short quality guarantee period, waste caused by the fact that the quality guarantee period of the reference commodity is over can be avoided, and the cost of the reference commodity is saved.
Figure 6 is a schematic diagram of a hardware configuration of a mobile terminal implementing various embodiments of the present invention,
the mobile terminal 600 includes, but is not limited to: radio frequency unit 601, network module 602, audio output unit 603, input unit 604, sensor 605, display unit 606, user input unit 607, interface unit 608, memory 609, processor 610, and power supply 611. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 6 is not intended to be limiting of mobile terminals, and that a mobile terminal may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
The processor 610 is configured to establish a recommendation list of a reference product according to a first parameter of the reference product.
And the processor 610 is used for acquiring the requirement information of the user.
The processor 610 is configured to display a recommendation list of target commodities, which are matched with the demand information, in the reference commodities; wherein the recommendation list comprises shelf life information of the target commodity.
In summary, the mobile terminal may establish the recommendation list of the reference product according to the first parameter of the reference product, and may also display the recommendation list of the target product in the reference product, which is matched with the demand information, according to the demand information of the user, where the target product may be sorted according to the recommendation value in the recommendation list of the target product, so that the user may visually know the information of the target product. In practical application, the recommendation list of the target commodity can include the quality guarantee period information of the target commodity, so that a user can be reminded to preferentially use a reference commodity with a short quality guarantee period, waste caused by the fact that the quality guarantee period of the reference commodity is over can be avoided, and the cost of the reference commodity is saved.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 601 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 610; in addition, the uplink data is transmitted to the base station. In general, radio frequency unit 601 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. Further, the radio frequency unit 601 may also communicate with a network and other devices through a wireless communication system.
The mobile terminal provides the user with wireless broadband internet access through the network module 602, such as helping the user send and receive e-mails, browse webpages, access streaming media, and the like.
The audio output unit 603 may convert audio data received by the radio frequency unit 601 or the network module 602 or stored in the memory 609 into an audio signal and output as sound. Also, the audio output unit 603 may also provide audio output related to a specific function performed by the mobile terminal 600 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 603 includes a speaker, a buzzer, a receiver, and the like.
The input unit 604 is used to receive audio or video signals. The input Unit 604 may include a Graphics Processing Unit (GPU) 6041 and a microphone 6042, and the Graphics processor 6041 processes image data of a still picture or video obtained by an image capturing apparatus (such as a camera) in a video capture mode or an image capture mode. The processed image frames may be displayed on the display unit 606. The image frames processed by the graphic processor 6041 may be stored in the memory 609 (or other storage medium) or transmitted via the radio frequency unit 601 or the network module 602. The microphone 6042 can receive sound, and can process such sound into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 601 in case of the phone call mode.
The mobile terminal 600 also includes at least one sensor 605, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 6061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 6061 and/or the backlight when the mobile terminal 600 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 605 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
The display unit 606 is used to display information input by the user or information provided to the user. The Display unit 406 may include a Display panel 6061, and the Display panel 6061 may be configured by a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 607 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 607 includes a touch panel 6071 and other input devices 6072. Touch panel 6071, also referred to as a touch screen, may collect touch operations by a user on or near it (e.g., operations by a user on or near touch panel 6071 using a finger, stylus, or any suitable object or accessory). The touch panel 6071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 610, receives a command from the processor 610, and executes the command. In addition, the touch panel 6071 can be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The user input unit 607 may include other input devices 6072 in addition to the touch panel 6071. Specifically, the other input devices 6072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a track ball, a mouse, and a joystick, which are not described herein again.
Further, the touch panel 6071 can be overlaid on the display panel 6061, and when the touch panel 6071 detects a touch operation on or near the touch panel 6071, the touch operation is transmitted to the processor 610 to determine the type of the touch event, and then the processor 610 provides a corresponding visual output on the display panel 6061 according to the type of the touch event. Although the touch panel 6071 and the display panel 6061 are shown in fig. 6 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 6071 and the display panel 6061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 608 is an interface through which an external device is connected to the mobile terminal 600. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 608 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 600 or may be used to transmit data between the mobile terminal 600 and external devices.
The memory 609 may be used to store software programs as well as various data. The memory 609 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 609 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 610 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 609 and calling data stored in the memory 609, thereby integrally monitoring the mobile terminal. Processor 610 may include one or more processing units; preferably, the processor 610 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 610.
The mobile terminal 600 may further include a power supply 611 (e.g., a battery) for supplying power to the various components, and preferably, the power supply 611 is logically connected to the processor 610 via a power management system, so that functions of managing charging, discharging, and power consumption are performed via the power management system.
In addition, the mobile terminal 600 includes some functional modules that are not shown, and are not described in detail herein.
Preferably, an embodiment of the present invention further provides a mobile terminal, which includes a processor 610, a memory 609, and a computer program stored in the memory 609 and capable of running on the processor 610, where the computer program is executed by the processor 410 to implement each process of the above-mentioned commodity recommendation method embodiment, and can achieve the same technical effect, and in order to avoid repetition, details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements each process of the above-mentioned embodiment of the commodity recommendation method, and can achieve the same technical effect, and in order to avoid repetition, details are not repeated here. The computer-readable storage medium may be a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (10)

1. A commodity recommendation method is applied to a mobile terminal, and is characterized by comprising the following steps:
establishing a recommendation list of a reference commodity according to a first parameter of the reference commodity;
acquiring demand information of a user;
displaying a recommendation list of target commodities matched with the demand information in the reference commodities;
wherein the first parameters include shelf life, purchase price, and purchase frequency;
the establishing of the recommendation list of the reference commodity according to the first parameter of the reference commodity comprises:
acquiring a plurality of first parameters of a reference commodity;
determining a recommendation index of the reference commodity according to the plurality of first parameters;
sorting the reference commodities according to the recommendation index, and establishing a recommendation list of the reference commodities;
the acquiring a plurality of first parameters of the reference commodity comprises:
under the condition that the reference commodity has no preset identification code, identifying the image of the reference commodity to acquire the commodity category of the reference commodity;
determining a preset first parameter corresponding to the preset commodity category as a first parameter of the reference commodity under the condition that the commodity category of the reference commodity is matched with the preset commodity category;
the acquiring of the requirement information of the user comprises:
detecting shooting content of a camera in the mobile terminal;
and under the condition that the shot content is a preset reference commodity, automatically determining the demand information of the user according to the shooting time.
2. The method of claim 1, wherein determining the recommendation index for the reference good based on the first plurality of parameters comprises:
determining a first coefficient corresponding to each first parameter according to the plurality of first parameters;
and determining the recommendation index of the reference commodity according to the sum of the products of each first coefficient and the corresponding weight factor.
3. The method of claim 2, wherein the first coefficients include a shelf life coefficient, a price coefficient, and a user like coefficient;
determining a corresponding first coefficient of each first parameter according to the plurality of first parameters, including;
determining the quality guarantee period coefficient according to the ratio of the number of days from the current date to the production date to the quality guarantee period;
determining the price coefficient according to the ratio of the purchase price to a preset average price;
and determining the user preference coefficient according to the ratio of the purchase frequency to a preset frequency.
4. The method of claim 1, wherein obtaining a plurality of first parameters for a reference good comprises:
and under the condition that the reference commodity has a preset identification code, scanning the preset identification code of the reference commodity and determining a plurality of first parameters of the reference commodity.
5. A mobile terminal, comprising:
the recommendation list establishing module is used for establishing a recommendation list of the reference commodity according to the first parameter of the reference commodity;
the acquisition module is used for acquiring the demand information of the user;
the display module is used for displaying a recommendation list of the target commodity matched with the demand information in the reference commodity; wherein the first parameters include shelf life, purchase price, and purchase frequency;
the recommendation list establishing module comprises:
the first acquisition submodule is used for acquiring a plurality of first parameters of the reference commodity;
the determining submodule is used for determining the recommendation index of the reference commodity according to the first parameters;
the recommendation list establishing submodule is used for sequencing the reference commodities according to the recommendation index and establishing a recommendation list of the reference commodities;
the first obtaining submodule comprises an obtaining unit and a fourth determining unit;
the acquisition unit is used for identifying the image of the reference commodity under the condition that the reference commodity has no preset identification code, and acquiring the commodity category of the reference commodity;
the fourth determining unit is configured to determine a preset first parameter corresponding to a preset commodity category as the first parameter of the reference commodity when the commodity category of the reference commodity is matched with the preset commodity category;
the acquisition module comprises a detection submodule and a third acquisition submodule;
the detection submodule is used for detecting shooting contents of a camera in the mobile terminal;
the third obtaining submodule is used for automatically determining the demand information of the user according to the shooting time under the condition that the shooting content is a preset reference commodity.
6. The mobile terminal of claim 5, wherein the determining submodule comprises:
a first determining unit, configured to determine, according to the plurality of first parameters, a first coefficient corresponding to each first parameter;
and the second determining unit is used for obtaining the recommendation index of the reference commodity according to the sum of the products of each first coefficient and the corresponding weight factor.
7. The mobile terminal of claim 6, wherein the first coefficients comprise a shelf life coefficient, a price coefficient, and a user preference coefficient;
the first determination unit includes;
the first determining subunit is used for determining the quality guarantee period coefficient according to the ratio of the number of days of the current date to the production date to the quality guarantee period;
the second determining subunit is used for determining the price coefficient according to the ratio of the purchase price to a preset average price;
and the third determining subunit is used for determining the user preference coefficient according to the ratio of the purchase frequency to the preset frequency.
8. The mobile terminal of claim 5, wherein the first obtaining sub-module comprises:
and the third determining unit is used for scanning the preset identification code of the reference commodity and determining a plurality of first parameters of the reference commodity under the condition that the reference commodity has the preset identification code.
9. A mobile terminal comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the item recommendation method of any one of claims 1 to 4.
10. A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the item recommendation method according to any one of claims 1 to 4.
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CN113469719A (en) * 2020-03-30 2021-10-01 青岛海尔电冰箱有限公司 Sales floor refrigerator recommendation method, sales floor navigation device and computer readable storage medium

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