CN110766498A - Method and device for recommending commodities - Google Patents
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Abstract
The invention discloses a method and a device for recommending commodities, and relates to the technical field of computers. One embodiment of the method comprises: collecting a face image of a user; determining whether the face image of the user is in a face library; under the condition that the face image of the user is in the face library, logging in the user and recommending commodities to the user; and displaying default content at a preset frequency under the condition that the face image of the user is not in the face library. The implementation method can improve the interactive experience of the user, improve the flow conversion rate of the user, increase the safety and reduce the capital cost and the resource consumption.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for recommending a commodity, an electronic device, and a computer-readable medium.
Background
In public places, in order to improve the advertising effect, merchants usually put advertisements on large screens to recommend goods or services to users, for example, the users can use mobile phones to scan codes and obtain details of the goods.
In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art:
the traditional mode of putting advertisements on a large screen in a public place belongs to a mode of putting advertisements on no destination, a user can only passively receive contents recommended by a merchant but cannot effectively obtain interested contents, and the pertinence of the advertisements put by the merchant is not high. On the other hand, generally, a large screen in a public place is charged according to the use time, and the advertisement traffic conversion rate is provided in a limited time, so that the cost of a merchant is saved.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for recommending a commodity, which can improve user interaction experience, improve user traffic conversion rate, increase security, and reduce capital cost and resource consumption.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method of recommending merchandise, including: collecting a face image of a user; determining whether the face image of the user is in a face library; under the condition that the face image of the user is in the face library, logging in the user and recommending commodities to the user; and displaying default content at a preset frequency under the condition that the face image of the user is not in the face library.
Optionally, in a case that the face image of the user is in the face library, the user is logged in, and a product is recommended to the user according to the historical interaction data of the user.
Optionally, when the face image of the user is not in the face library, the user actively logs in, and recommends a commodity to the user according to the historical interaction data of the user.
Optionally, after the user actively logs in, the face image of the user is added to the face library according to the user instruction.
Optionally, the user's instruction is received by recognizing one or more of a voice command, a touch screen operation, or a gesture operation of the user.
Optionally, after the user logs in, monitoring whether the user stays in an image capturing area, and if the user is not monitored in the image capturing area for a predetermined time, logging out of the user.
To achieve the above object, according to another aspect of an embodiment of the present invention, there is provided an apparatus for recommending merchandise, including: the acquisition module is used for acquiring a face image of a user; the judging module is used for determining whether the face image of the user is in a face library or not; the recommending module is used for logging in the user and recommending commodities to the user under the condition that the face image of the user is in the face library; and the display module is used for displaying default content at a preset frequency under the condition that the face image of the user is not in the face library.
Optionally, the recommending module is further configured to log in the user and recommend the goods to the user according to the historical interaction data of the user when the face image of the user is in the face library.
Optionally, the recommending module is further configured to actively log in by the user and recommend a commodity to the user according to the historical interaction data of the user when the face image of the user is not in the face library.
Optionally, the recommending module is further configured to add the face image of the user to the face library according to the user instruction after the user actively logs in.
Optionally, the acquisition module is further configured to receive an instruction of the user by recognizing one or more of a voice command, a touch screen operation, or a gesture operation of the user.
Optionally, the acquisition module is further configured to monitor whether the user stays in an image acquisition area after the user logs in, and log off the user if it is monitored that the user is not in the image acquisition area for a predetermined time.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus including: one or more processors; a storage device to store one or more programs that, when executed by the one or more processors, cause the one or more processors to implement any of the methods of recommending merchandise.
To achieve the above object, according to still another aspect of embodiments of the present invention, there is provided a computer-readable medium having stored thereon a computer program which, when executed by one or more processors, implements any one of the methods of recommending an article.
One embodiment of the above invention has the following advantages or benefits: due to the adoption of the technical means of commodity recommendation according to face recognition, the technical problems of low pertinence, poor user experience and high cost of the traditional method are solved, and the technical effects of improving the user experience and saving the cost are further achieved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
FIG. 1 is a schematic diagram of the main steps of a method of recommending merchandise according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a face detection procedure according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of voice input steps according to an embodiment of the invention;
FIG. 4 is a diagram illustrating the following steps performed according to the face detection result according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of subsequent steps performed after login, according to an embodiment of the present invention;
fig. 6 is a schematic view of a main part of an apparatus for recommending merchandise according to an embodiment of the present invention;
FIG. 7 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 8 is a schematic structural diagram of a computer system suitable for implementing a terminal device or a server according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of main steps of a method for recommending merchandise according to an embodiment of the present invention, as shown in fig. 1:
step S101 represents collecting a face image of a user; the purpose of this step is to determine the acquisition object. The acquisition equipment can comprise a camera and the like, a certain acquisition area is preset, and when a user enters the acquisition area, a face image of the user is shot.
The embodiment of the invention is that a face image is acquired by a face detection technology, whether a face exists in a camera scanning area (namely a preset acquisition area) is judged, and if the face does not exist, detection is repeated. Fig. 2 is a schematic diagram illustrating a step of face image recognition, and as shown in fig. 2, it may be determined whether the number of feature points is greater than a certain empirical threshold for face detection by monitoring the feature points of the face in the shot, and if so, the face detection is successful, and the feature point data is recorded for comparison with the face image data in the face library; if not, the human face is judged not to be detected, and the detection of the human face characteristic points is continued.
Step S102 represents that whether the face image of the user is in a face library or not is determined, and under the condition that the face image of the user is in the face library, the user logs in and recommends commodities to the user; the purpose of this step is to perform corresponding operations according to the result of face image recognition.
And under the condition that the face image of the user is in the face library, logging in the user, and recommending commodities to the user according to the historical interaction data of the user. The historical interactive data comprises records generated by actions of purchasing, browsing, collecting and the like of commodities of the user. The method further comprises the following steps: and after the user logs in, monitoring whether the user stays in an image acquisition area, and enabling the user to log out under the condition that the user is monitored not to stay in the image acquisition area for a preset time. When the face image of a user is collected, the user needs to stay in a preset collecting area, so that collecting equipment (such as a camera) can collect relevant data more clearly and accurately. After the user leaves the preset acquisition area, the user can also be sent prompt information in a mode of displaying a prompt information picture or playing prompt information sound to prompt the user that the user leaves the preset acquisition area or whether the operation is continued.
Further, the face library may be stored in a remote server, and queried in the remote server through the internet to determine whether the user is included in the face library. For example, recognition is performed based on the user's behavior, such as a gesture of "slide left" indicating entry into a lower level page.
Receiving an instruction of the user by recognizing one or more of a voice command, a touch screen operation, or a gesture operation of the user. Fig. 3 is a schematic diagram illustrating a voice recognition step, recognizing a voice input text, determining whether a preset instruction matching the voice input text exists in a preset database, and if the preset instruction matching the voice input text exists, executing the instruction, for example, if the voice input is "join shopping cart", the matched preset instruction is to join a commodity in a currently browsed page into the shopping cart.
Step S103 represents that default content is displayed at a preset frequency when the face image of the user is not in the face library. The preset frequency refers to a display period of default content (such as advertisements, preferential information, and the like).
And under the condition that the face image of the user is not in the face library, the user actively logs in and recommends commodities to the user according to the historical interaction data of the user.
And after the user actively logs in, adding the face image of the user into the face library according to the user instruction. And if the user is not included in the face library, sending an adding request, and adding the face image of the user to the face library after receiving an adding permission instruction. And after the user is added to the face library, performing subsequent operations according to the condition that the user is included in the face library. The sending mode of the adding request can be displaying the two-dimensional code to enable a user to scan, or directly sending the adding request to the mobile phone client, and after the user scans the two-dimensional code or the client receives the confirmation of the user, returning an adding permission instruction. Sending an account login request before sending the addition request; and sending the adding request after receiving the account login information, namely, soliciting the consent of the user before adding the face image of the user.
Before a user actively logs in, an account login request is sent; and calling the preset application program after receiving the account login information. The purpose of this step is to solicit the user's consent, improving user experience and security. For example, before the preset application program is called, an account login request is displayed in a two-dimensional code form, a user sends account login information in a form of scanning the two-dimensional code by using a mobile phone, or directly sends the login request to a preset application program client of the mobile phone of the user, the user confirms that the user passes through the mobile phone, the account login information is returned, and after the account login information is received, the preset application program is called to execute subsequent operations.
Fig. 4 is a schematic diagram illustrating a step of determining whether the user is included in a face library, as shown in fig. 4, after face feature detection is successful, matching is performed according to the recorded face features and the face feature library (i.e., the face library), and after matching is successful, user information of the user is determined, and the face features of the user can be further deeply learned, and stored face features are updated, etc.; and if the face features of the user are not matched in the face feature library, displaying the two-dimensional code to request to add the face image to the face library, scanning the two-dimensional code by the user to log in a related account, allowing the addition, returning an instruction of allowing the addition, and performing deep learning and recording on the face features of the user.
And determining whether the user is included in a face library or not according to the face image of the user, if so, calling a preset application program to display recommended commodities and/or preference information for the user, identifying the voice and/or behavior of the user, and carrying out purchasing operation on the recommended commodities according to the voice and/or behavior of the user. Another embodiment of the present invention is an interaction process schematic diagram as shown in fig. 5, in an e-commerce website, after a user logs in an account, querying whether the user is a preset potential user in a database, if yes, querying a matched recommended commodity, and returning the recommended commodity to a client (such as a screen display device); if the user is not the preset potential user, the latest preferential promotion activity is displayed to the user.
The method further comprises the following steps: the outputted picture data and/or sound data are used for presentation to and interaction with the user. The method can be connected with external playing equipment (such as a loudspeaker and the like) or display equipment (such as a large screen and the like) in a mode of setting an interface to output data, can be applied to various scenes, and improves the expansibility and the interactivity of the method, thereby improving the flow conversion rate and reducing the fund and resource consumption.
Further, the method may further include displaying the picture data and/or playing the sound data, that is, the client integrates the function of displaying the picture data and/or playing the sound data.
Fig. 6 is a schematic diagram of a main part of an apparatus 600 for recommending merchandise according to an embodiment of the present invention, as shown in fig. 6:
the acquisition module 601 is used for acquiring a face image of a user; the object is to determine the acquisition object. The acquisition equipment can comprise a camera and the like, a certain acquisition area is preset, and when a user enters the acquisition area, a face image of the user is shot. The embodiment of the invention is that a face image is acquired by a face detection technology, whether a face exists in a camera scanning area (namely a preset acquisition area) is judged, and if the face does not exist, detection is repeated. Fig. 2 is a schematic diagram illustrating a step of face image recognition, and as shown in fig. 2, it may be determined whether the number of feature points is greater than a certain empirical threshold for face detection by monitoring the feature points of the face in the shot, and if so, the face detection is successful, and the feature point data is recorded for comparison with the face image data in the face library; if not, the human face is judged not to be detected, and the detection of the human face characteristic points is continued.
The acquisition module 601 is further configured to receive an instruction of the user by recognizing one or more of a voice command, a touch screen operation, or a gesture operation of the user. Fig. 3 is a schematic diagram illustrating a voice recognition step, recognizing a voice input text, determining whether a preset instruction matching the voice input text exists in a preset database, and if the preset instruction matching the voice input text exists, executing the instruction, for example, if the voice input is "join shopping cart", the matched preset instruction is to join a commodity in a currently browsed page into the shopping cart.
The acquisition module 601 is further configured to monitor whether the user stays in an image acquisition area after the user logs in, and log out the user when the user is not monitored in the image acquisition area for a predetermined time. When the face image of a user is collected, the user needs to stay in a preset collecting area, so that collecting equipment (such as a camera) can collect relevant data more clearly and accurately. After the user leaves the preset acquisition area, the user can also be sent prompt information in a mode of displaying a prompt information picture or playing prompt information sound to prompt the user that the user leaves the preset acquisition area or whether the operation is continued.
A determining module 602, configured to determine whether the face image of the user is in a face library.
A recommending module 603, configured to log in the user and recommend a product to the user when the face image of the user is in the face library; the purpose is to perform corresponding operations according to the result of face image recognition.
The recommending module 603 is further configured to log in the user and recommend a commodity to the user according to the historical interaction data of the user when the face image of the user is in the face library. The historical interactive data comprises records generated by actions of purchasing, browsing, collecting and the like of commodities of the user.
The recommending module 603 is further configured to, when the face image of the user is not in the face library, actively log in by the user, and recommend a commodity to the user according to the historical interaction data of the user.
The recommending module 603 is further configured to add the face image of the user to the face library according to the user instruction after the user actively logs in. And if the user is not included in the face library, sending an adding request, and adding the face image of the user to the face library after receiving an adding permission instruction. And after the user is added to the face library, performing subsequent operations according to the condition that the user is included in the face library. The sending mode of the adding request can be displaying the two-dimensional code to enable a user to scan, or directly sending the adding request to the mobile phone client, and after the user scans the two-dimensional code or the client receives the confirmation of the user, returning an adding permission instruction. Sending an account login request before sending the addition request; and sending the adding request after receiving the account login information, namely, soliciting the consent of the user before adding the face image of the user. Before a user actively logs in, an account login request is sent; and calling the preset application program after receiving the account login information. The method aims to solicit the consent of the user and improve the user experience and the safety. For example, before the preset application program is called, an account login request is displayed in a two-dimensional code form, a user sends account login information in a form of scanning the two-dimensional code by using a mobile phone, or directly sends the login request to a preset application program client of the mobile phone of the user, the user confirms that the user passes through the mobile phone, the account login information is returned, and after the account login information is received, the preset application program is called to execute subsequent operations.
Fig. 4 is a schematic diagram illustrating a step of determining whether the user is included in a face library, as shown in fig. 4, after face feature detection is successful, matching is performed according to the recorded face features and the face feature library (i.e., the face library), and after matching is successful, user information of the user is determined, and the face features of the user can be further deeply learned, and stored face features are updated, etc.; and if the face features of the user are not matched in the face feature library, displaying the two-dimensional code to request to add the face image to the face library, scanning the two-dimensional code by the user to log in a related account, allowing the addition, returning an instruction of allowing the addition, and performing deep learning and recording on the face features of the user.
And determining whether the user is included in a face library or not according to the face image of the user, if so, calling a preset application program to display recommended commodities and/or preference information for the user, identifying the voice and/or behavior of the user, and carrying out purchasing operation on the recommended commodities according to the voice and/or behavior of the user. Another embodiment of the present invention is an interaction process schematic diagram as shown in fig. 5, in an e-commerce website, after a user logs in an account, querying whether the user is a preset potential user in a database, if yes, querying a matched recommended commodity, and returning the recommended commodity to a client (such as a screen display device); if the user is not the preset potential user, the latest preferential promotion activity is displayed to the user.
A displaying module 604, configured to display default content at a preset frequency when the face image of the user is not in the face library. The preset frequency refers to a display period of default content (such as advertisements, preferential information, and the like).
The apparatus 600 may further comprise: and the output module is used for displaying the output picture data and/or the output sound data for the user and interacting with the user. The method can be connected with external playing equipment (such as a loudspeaker and the like) or display equipment (such as a large screen and the like) in a mode of setting an interface to output data, can be applied to various scenes, and improves the expansibility and the interactivity of the method, thereby improving the flow conversion rate and reducing the fund and resource consumption. Further, the output module can also directly display the picture data and/or play the sound data, that is, the client integrates the function of displaying the picture data and/or playing the sound data.
Further, the face library may be stored in a remote server, and queried in the remote server through the internet to determine whether the user is included in the face library. For example, recognition is performed based on the user's behavior, such as a gesture of "slide left" indicating entry into a lower level page.
Fig. 7 illustrates an exemplary system architecture 700 of a method or apparatus for recommending merchandise to which an embodiment of the present invention may be applied.
As shown in fig. 7, the system architecture 700 may include terminal devices 701, 702, 703, a network 704, and a server 705. The network 704 serves to provide a medium for communication links between the terminal devices 701, 702, 703 and the server 705. Network 704 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 701, 702, 703 to interact with a server 705 over a network 704, to receive or send messages or the like. Various communication client applications, such as shopping applications, web browser applications, search applications, instant messaging tools, mailbox clients, social platform software, and the like, may be installed on the terminal devices 701, 702, and 703.
The terminal devices 701, 702, 703 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 705 may be a server that provides various services, such as a background management server that supports shopping websites browsed by users using the terminal devices 701, 702, and 703. The background management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (e.g., target push information and product information) to the terminal device.
It should be noted that, the method for recommending a product provided by the embodiment of the present invention is generally executed by the server 705, and accordingly, an apparatus for recommending a product is generally disposed in the server 705.
It should be understood that the number of terminal devices, networks, and servers in fig. 7 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
FIG. 8 is a block diagram illustrating a computer system 800 suitable for implementing a terminal device according to an embodiment of the invention. The terminal device shown in fig. 8 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for the operation of the system 800 are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other via a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.
The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.
In particular, the processes described in the above step diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. For example, the disclosed embodiments of the invention include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the step diagrams. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program executes the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 801.
It should be noted that the computer readable media shown in the present invention include computer readable signal media or computer readable storage media, or any combination of the two. A computer readable storage medium includes, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, semiconductor system, apparatus, or device, or any combination of the foregoing. Computer-readable storage media specifically include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any combination of the foregoing. In the present invention, a computer readable storage medium includes any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device; a computer readable signal medium includes a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave, which may take many forms, including, but not limited to, electromagnetic signals, optical signals, or any combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF (radio frequency), etc., or any combination of the preceding.
The block diagrams or step diagrams in the figures, which illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention, may each represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or step diagrams, and combinations of blocks in the block diagrams or step diagrams, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules or units described in the embodiments of the present invention may be implemented by software, or may be implemented by hardware. The described modules or units may also be provided in a processor, and may be described as: a processor comprises an acquisition module, a judgment module, a recommendation module and a display module. The names of these modules or units do not in some cases constitute a limitation to the modules or units themselves, for example, the acquisition module may also be described as a "module for acquiring a face image of a user".
On the other hand, the embodiment of the present invention also provides a computer-readable medium, which may be included in the apparatus described in the above embodiment; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: collecting a face image of a user; determining whether the face image of the user is in a face library; under the condition that the face image of the user is in the face library, logging in the user and recommending commodities to the user; and displaying default content at a preset frequency under the condition that the face image of the user is not in the face library.
According to the technical scheme of the embodiment of the invention, the interactive experience of the user can be improved, the flow conversion rate of the user can be improved, the safety can be improved, and the capital cost and the resource consumption can be reduced.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (14)
1. A method of recommending merchandise, comprising:
collecting a face image of a user;
determining whether the face image of the user is in a face library;
under the condition that the face image of the user is in the face library, logging in the user and recommending commodities to the user;
and displaying default content at a preset frequency under the condition that the face image of the user is not in the face library.
2. The method of claim 1, further comprising: and under the condition that the face image of the user is in the face library, logging in the user, and recommending commodities to the user according to the historical interaction data of the user.
3. The method of claim 1, further comprising: and under the condition that the face image of the user is not in the face library, the user actively logs in and recommends commodities to the user according to the historical interaction data of the user.
4. The method of claim 3, further comprising: and after the user actively logs in, adding the face image of the user into the face library according to the user instruction.
5. The method of claim 1, further comprising: receiving an instruction of the user by recognizing one or more of a voice command, a touch screen operation, or a gesture operation of the user.
6. The method according to any one of claims 1-4, further comprising: and after the user logs in, monitoring whether the user stays in an image acquisition area, and enabling the user to log out under the condition that the user is monitored not to stay in the image acquisition area for a preset time.
7. An apparatus for recommending merchandise, comprising:
the acquisition module is used for acquiring a face image of a user;
the judging module is used for determining whether the face image of the user is in a face library or not;
the recommending module is used for logging in the user and recommending commodities to the user under the condition that the face image of the user is in the face library;
and the display module is used for displaying default content at a preset frequency under the condition that the face image of the user is not in the face library.
8. The apparatus of claim 7, wherein the recommending module is further configured to log in the user and recommend goods to the user according to the historical interaction data of the user if the facial image of the user is in the facial library.
9. The apparatus of claim 7, wherein the recommending module is further configured to, in a case that the facial image of the user is not in the facial library, actively log in by the user, and recommend the product to the user according to the historical interaction data of the user.
10. The apparatus of claim 9, wherein the recommending module is further configured to add the facial image of the user to the facial library according to the user instruction after the user actively logs in.
11. The apparatus of claim 7, wherein the capture module is further configured to receive the user's instruction by recognizing one or more of a voice command, a touch screen operation, or a gesture operation of the user.
12. The apparatus according to any of claims 7-10, wherein the capture module is further configured to monitor whether the user remains within an image capture area after the user logs in, and to log off the user if the user is monitored not to be within the image capture area for a predetermined time.
13. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-6.
14. A computer-readable medium, on which a computer program is stored, which, when being executed by one or more processors, carries out the method according to any one of claims 1-6.
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| CN201810842245.7A CN110766498A (en) | 2018-07-27 | 2018-07-27 | Method and device for recommending commodities |
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