CN111539787A - Information recommendation method, intelligent glasses, storage medium and electronic device - Google Patents
Information recommendation method, intelligent glasses, storage medium and electronic device Download PDFInfo
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Abstract
The invention discloses an information recommendation method, intelligent glasses, a storage medium and an electronic device. The method comprises the following steps: under the condition that the target object is detected to enter the target area, acquiring a face image of the target object; inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object; and recommending commodity information to the target object according to the target object preference information under the condition that the target object preference information is found. The method and the device can improve the information recommendation accuracy.
Description
Technical Field
The invention relates to the field of computers, in particular to an information recommendation method, intelligent glasses, a storage medium and an electronic device.
Background
At present, in the process of shopping by a customer, corresponding commodity information recommendation service is often required to be provided for the customer, so that the customer can conveniently and quickly and accurately obtain commodities required by the customer.
In practice, it is found that the current commodity information recommendation service is highly dependent on the shopping guide personnel in charge of shopping guide, and the shopping guide personnel are required to recommend commodity information by virtue of the work experience and the memory of customers. In this process, the shopping guide personnel often do not remember the needs of the acquaintances to recommend the commodity information, so that the recommended commodity information is not the information required by the customers. Therefore, the current commodity information recommendation method has the problem of low recommendation accuracy.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides an information recommendation method, intelligent glasses, a storage medium and an electronic device, and aims to at least improve the information recommendation accuracy.
According to an aspect of an embodiment of the present invention, there is provided an information recommendation method including: under the condition that a target object is detected to enter a target area, acquiring a face image of the target object; inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of the target object obtained by analyzing historical shopping data of the target object; and recommending commodity information to the target object according to the target object preference information under the condition that the target object preference information is found.
According to another aspect of the embodiments of the present invention, there is also provided smart glasses, including: the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring a face image of a target object under the condition that the target object is detected to enter a target area; the query unit is used for querying target object preference information which is stored correspondingly to the face image in a database, wherein the target object preference information is shopping preference information of the target object obtained by analyzing historical shopping data of the target object; and the recommending unit is used for recommending the commodity information to the target object according to the target object preference information under the condition that the target object preference information is found.
According to still another aspect of the embodiments of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is configured to execute the above information recommendation method when running.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the information recommendation method through the computer program.
In the embodiment of the invention, under the condition that a target object is detected to enter a target area, a face image of the target object is acquired; inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object; and recommending commodity information to the target object according to the target object preference information under the condition that the target object preference information is found. According to the process, the face image of the target object can be acquired in the shopping process, the target object preference information corresponding to the face image is acquired by using a face recognition technology, the commodity information is recommended according to the target object preference information, information recommendation can be performed according to the preference of a customer, and the information recommendation accuracy is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a schematic diagram of a network environment for an alternative information recommendation method according to an embodiment of the invention;
FIG. 2 is a flow chart of an alternative information recommendation method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of alternative object representation information in accordance with embodiments of the invention;
FIG. 4 is a schematic structural diagram of an alternative information recommendation apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an alternative electronic device according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an aspect of the embodiments of the present invention, an information recommendation method is provided, and optionally, as an optional implementation manner, the information recommendation method may be applied, but not limited to, in an information recommendation system in a network environment as shown in fig. 1, where the information recommendation system includes a wearable device 102, a network 110, and a server 112. The user device 102 may include a camera 104, a processor 106, and a memory 108. The camera device 104 may be configured to detect a target object, and perform a shooting operation on the target object to obtain a face image of the target object when it is detected that the target object enters a target area, the processor 106 may perform image processing on the obtained face image to obtain a higher-definition face image, and the memory 108 may store the obtained face image and the obtained higher-definition face image. Further, the processor 106 may send the face image to a server 112 via the network 110, wherein the server 112 includes a database 114 and a processing engine 116. The database 114 is used for storing a large number of corresponding stored face images and object preference information. The processor engine 116 is configured to query the database for target object preference information corresponding to the face image of the target object, and if the target object preference information is found, may return the target object preference information to the wearable device 102 through the network 110, so that the wearable device outputs the target object preference information, so that a shopping guide person recommends the commodity information to the target object according to the target object preference information, or so that the wearable device recommends the commodity information to the target object according to the target object information. Specifically, the following steps may be performed:
s101, the wearable device 102 acquires a face image of a target object under the condition that the target object is detected to enter a target area;
s102, the wearable device 102 sends the face image to the network 110;
s103, the network 110 sends the face image to the server 112;
s104, the server 112 inquires target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object;
s105, under the condition that the target object preference information is found, the server 112 sends the target object preference information to the network 110;
s106, the network 110 sends the target object preference information to the wearable device 102;
s107, the wearable device 102 outputs the target object preference information, so that the shopping guide person recommends the product information to the target object according to the target object preference information.
In the embodiment of the invention, the target object can be a customer who carries out shopping, the wearable device can be intelligent glasses worn by shopping guide, and the wearable device can be used for assisting the shopping guide to carry out information recommendation on the customer. Specifically, the wearable device may acquire the position information of the target object, and if it is detected that the position information of the target object is the target area, the face image of the target object may be acquired. The target area may be a preset shopping area, for example, the target area may be set as an area of a current store, and when a customer enters the store, the target object is considered to enter the target area. Optionally, the face image of the target object may be obtained by capturing the face image with a camera device of the wearable device, or the wearable device may establish a connection with a camera device (e.g., a camera) in a store, and obtain the face image obtained by the camera device by communicating with the camera device. After the wearable device acquires the face image, the face image can be sent to a server through a network. Furthermore, a large amount of face images and target preference information which are stored correspondingly can be stored in a database of the server, wherein the face images can be face images of the customers acquired when the customers transact members, after the customers transact the members, when the customers use member cards to shop, the shopping data of the customers can be acquired, and the target preference information can be obtained by analyzing historical shopping data of the customers. Therefore, after the server acquires the face image, the target object preference information stored corresponding to the face image can be determined in the database, and the wearable device can output the target object preference information, so that the shopping guide personnel recommend commodity information to the target object according to the target object preference information. Wherein, under the condition that wearable equipment is intelligent glasses, can export this target object preference information on the lens of intelligent glasses, optionally, wearable equipment can also establish connection with shopping guide personnel's headset equipment, exports this target object preference information to this shopping guide personnel's headset equipment with the form of pronunciation.
For example, when a customer enters a store, the wearable device worn by a shopping guide person can detect that the customer enters a target area, and at this time, the wearable device can send an acquisition instruction to a camera in the store, so that the camera in the store adjusts its position to face the customer, acquires a face image of the customer, and returns the face image to the wearable device. The wearable device can upload the facial image to a server through a network, the server can be used for storing member information of various stores, member historical shopping information, user figures of members, object preference information of the members and the like, and the server can determine target object preference information stored corresponding to the facial image in a database. The target object preference information may include, but is not limited to, a type of goods, a brand of goods, and the like preferred by the customer, and the wearable device may transmit the target object preference information to an ear microphone worn by a shopping guide person, so that the shopping guide person recommends the goods information to the customer according to the target object preference information.
In the embodiment of the invention, under the condition that a target object is detected to enter a target area, a face image of the target object is acquired; inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object; and recommending commodity information to the target object according to the target object preference information under the condition that the target object preference information is found. According to the process, the face image of the target object can be acquired in the shopping process, the target object preference information corresponding to the face image is acquired by using a face recognition technology, the commodity information is recommended according to the target object preference information, information recommendation can be performed according to the preference of a customer, and the information recommendation accuracy is improved.
Optionally, in this embodiment, the wearable device may be, but not limited to, a computer device supporting running of an application client, such as smart glasses, a smart bracelet, and a computer. The server and the user equipment may implement data interaction through a network, which may include but is not limited to a wireless network or a wired network. Wherein, this wireless network includes: bluetooth, WIFI, and other networks that enable wireless communication. Such wired networks may include, but are not limited to: wide area networks, metropolitan area networks, and local area networks. The above is merely an example, and this is not limited in this embodiment.
Optionally, as an optional implementation manner, as shown in fig. 2, the information recommendation method includes:
s201, acquiring a face image of a target object under the condition that the target object is detected to enter a target area;
s202, inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object;
and S203, recommending commodity information to the target object according to the target object preference information under the condition that the target object preference information is found.
In an embodiment of the present invention, the target object is a customer who needs to purchase a commodity, and the execution subject in steps S201 to S203 may be a wearable device, such as smart glasses, or the execution subject may also be a smart shopping guide device such as a mobile phone, a tablet, a computer, and a teller machine, which is not limited in the embodiment of the present invention. Optionally, the scheme may be applied to an intelligent store system, where the target area may be the whole store area, or may also be a shopping area in a store, and the like, and is not limited in the embodiment of the present invention. When a customer enters a target area of a store and needs to shop, the customer can hold an intelligent shopping guide device, the intelligent shopping guide device can acquire a face image of a target object through a camera device of the intelligent shopping guide device or the camera device of the store, and query target object preference information corresponding to the stored face image in a database, if the target object preference information is found, commodity information can be recommended to the target object according to the target object preference information, optionally, if the intelligent shopping guide device is a interpreter, the mode of recommending the commodity information to the target object according to the target object preference information specifically can be as follows: and outputting the commodity recommendation information in a voice form through the interpreter. Further optionally, after the commodity recommendation information in the voice form is output through the interpreter, voice information sent by a customer can be received, and voice answer information is generated according to the voice information, so that voice interaction-assisted shopping is realized, and shopping efficiency is improved.
As an alternative implementation, recommending the commodity information to the target object according to the target object preference information may include:
s1, acquiring the geographical position information of the current store;
s2, determining store commodity data matched with the geographical position information, wherein the store commodity data at least comprises a commodity label corresponding to each commodity information;
s3, according to the preference label in the target object preference information, searching the target commodity label corresponding to the preference label in the store commodity data;
and S4, recommending the target commodity information corresponding to the target commodity label to the target object, wherein the target commodity information at least comprises a commodity name and a commodity display position.
In the embodiment of the present invention, the database stores information of each store and geographical location information corresponding to each store information, in the embodiment of the present invention, the geographical location information of a current store may be obtained, and store information corresponding to the geographical location information may be determined, where the store information at least includes store commodity data, and may also include other data such as store name, store employee data, and the like, and the embodiment of the present invention is not limited in this embodiment. The store product data may include, but is not limited to, the name, the stock quantity, the sales volume, the product label, the product display position, and the like of each product in the store. The product tag may be used to indicate the use or attribute of the product, and may be, for example, "baby food", "size 36", or the like. Furthermore, the target object preference information may include a plurality of preference tags, where the preference tags are used to indicate shopping preference categories of the target object, for example, the preference tags may be "infant products", "shoe bag products", and the like, and the target product tags corresponding to the preference tags may be searched in store product data according to the preference tags in the target object preference information, for example, in a case where the preference tags are "infant products", the target product tags corresponding to the preference tags may be searched, the target product tags may be "infant food", and the target product information corresponding to the target product tags may be recommended to the target object.
As an optional implementation manner, after recommending the target commodity information corresponding to the target commodity label to the target object, the following steps may be further performed:
s1, generating a shopping track according to the commodity display position and the current position of the target object when the commodity recommendation confirmation command triggered by the target object is received, the shopping track being a path track having the current position of the target object as a starting point and the commodity display position as an ending point;
s2, navigation information is output according to the real-time position and the shopping track of the target object, the navigation information being path direction information for guiding the target object so that the target object goes from the current position of the target object to the merchandise display position according to the navigation information.
In the embodiment of the present invention, after recommending the target commodity information corresponding to the target commodity tag to the target object, the target object may trigger a commodity recommendation confirmation instruction by performing corresponding human-computer interaction operation on the intelligent shopping guide device, or the target object may also trigger a commodity recommendation confirmation instruction by inputting the confirmation instruction by voice, and the like, which is not limited in the embodiment of the present invention. When a commodity recommendation confirmation instruction triggered by the target object is received, the current position of the target object can be acquired, the current position of the target object is used as a starting point, the commodity display position is used as an end point, a shopping track is generated according to the commodity display position and the current position of the target object, and a customer can go from the current position to the commodity display position according to the shopping track. Further, the navigation information may be output according to the real-time position of the target object and the shopping track, where the navigation information is used to guide the target object to advance the target mileage towards the specified path direction, and may include, but is not limited to, "go straight 5 meters", "turn left and go straight 3 meters", and the like. Further alternatively, after the navigation information is output according to the real-time position and the shopping track of the target object, information such as the number of shelf levels where the commodity is located may be output when it is detected that the target object moves to the commodity display position. The process can guide the target object to go to the commodity display position to obtain the commodities needed by the target object, the target object does not need to search the commodity position in a large store range, the time of the target object going to the commodity display position is saved, and the commodity obtaining efficiency is improved.
As an alternative implementation, querying the target object preference information stored in the database corresponding to the face image may include the following steps:
s1, inquiring member registration information and object portrait information corresponding to the face image in the database, wherein the object portrait information at least comprises a preference label;
and S2, generating the target object preference information according to the preference label.
In the embodiment of the present invention, when a customer transacts a member card of a store, the customer is required to input corresponding member registration information, where the member registration information may include, but is not limited to, a member name, a member gender, a member telephone, a member address, and the like. When a customer transacts the membership card, a face image of the customer can be acquired, the face image and the member registration information are correspondingly stored, when the customer subsequently purchases, a store can acquire the member registration information corresponding to the face image by analyzing the face image of the customer, and can acquire shopping data during the process of purchasing, and under the condition that the quantity of the acquired shopping data reaches a target threshold value, object portrait information corresponding to the customer can be generated according to the shopping data, wherein the object portrait information is used for describing the shopping image of a target object, at least comprises a preference label, and the target object preference information can be generated according to the preference label. For example, if the preference tags are "infant products" and "apparel," the target object preference information generated may be infant apparel.
Referring to fig. 3, fig. 3 is a schematic diagram of optional object portrait information disclosed in an embodiment of the present invention, and as shown in fig. 3, the object portrait information may include basic attribute information, shopping information and intercourse circle information, where the basic attribute information is used to describe basic information of an object, and may include, but is not limited to, age information, gender information, birthday information, country information, province information, prefecture and county information, country information, constellation information, blood type information, university information, and the like; the consumption shopping information is used for describing the consumption condition of the object and can be obtained by performing data analysis on consumption data of the target object, and can include but is not limited to a consumption preference field, a preference class, a preference price interval, consumption frequency, recent consumption times, recent consumption total amount, a mobile phone using type, a credit rating and the like; the communication circle information is used for describing the communication condition of the object during communication, and may include, but is not limited to, a communication preference field, the number of microblog fans, the number of microblog concerns, the number of microblog mutual fans, a microblog authentication type, a microblog authentication reason, a microblog personal tag, qq group preference characteristics, and the like. Alternatively, a preference tag of the object may be generated according to the consumption shopping information, as shown in fig. 3, and the preference tag of the object may be generated according to the consumption preference field information, the preference category information, and the preference price interval, for example, in the case where the consumption preference field is home furniture and children, the preference category is xx category, and the preference price interval is 0 to 100, the preference tag may be "home furniture product", "children's wear product", "xx category", and "0 to 100", and the like.
As an optional implementation manner, after querying the target object preference information correspondingly stored in the face image in the database, the following steps may be further performed:
s1, sending the target object preference information to the target device;
s2, the control target device displays the target object preference information.
In the embodiment of the present invention, the target device may be smart glasses, and when the target device is the smart glasses, the specific way of controlling the target device to display the target object preference information may be: the target object preference information is displayed on lenses of the smart glasses. Optionally, the target device may also be an electronic device such as a mobile phone and a tablet that establishes a connection with the smart glasses, and may send the target object preference information to the target device and control the target device to display the target object preference information. The shopping guide personnel can hold the target equipment and recommend commodity information to the target object through the target object preference information displayed by the target equipment, and the commodity information recommendation accuracy is improved.
As an optional implementation manner, after recommending the commodity information to the target object according to the target object preference information, the following steps may be further performed:
and in the case that the shopping behavior data of the target object is detected, updating the target object preference information according to the shopping behavior data.
In the embodiment of the invention, the target object preference information can be updated under the condition that the shopping behavior data of the target object is detected, and the shopping preference of the target object is possibly changed, so that the shopping preference of the target object can be monitored in real time in the process, and the reliability of the target object preference information is improved. Optionally, when the shopping behavior data of the target object is detected, the method for updating the preference information of the target object according to the shopping behavior data may specifically be: and sending out a prompt message for prompting a shopping guide person to input a preference label of the target object under the condition that the shopping behavior data of the target object is detected, wherein the shopping guide person responds to the prompt message and inputs the preference label of the target object by voice. The intelligent glasses can collect voice input by shopping guide personnel, analyze the voice, obtain a preference tag, and add the preference tag to the target object preference information, so that the target object preference information is updated.
In the embodiment of the invention, under the condition that a target object is detected to enter a target area, a face image of the target object is acquired; inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object; and recommending commodity information to the target object according to the target object preference information under the condition that the target object preference information is found. According to the process, the face image of the target object can be acquired in the shopping process, the target object preference information corresponding to the face image is acquired by using a face recognition technology, the commodity information is recommended according to the target object preference information, information recommendation can be performed according to the preference of a customer, and the information recommendation accuracy is improved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
According to another aspect of the embodiment of the invention, the intelligent glasses for implementing the information recommendation method are also provided. As shown in fig. 4, the smart glasses may include:
an acquiring unit 401, configured to acquire a face image of a target object when it is detected that the target object enters a target area;
the query unit 402 is configured to query, in a database, target object preference information stored in correspondence with the face image, where the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object;
and a recommending unit 403, configured to recommend, when the target object preference information is found, the commodity information to the target object according to the target object preference information.
As an alternative implementation, the recommending unit may include:
the acquisition subunit is used for acquiring the geographical position information of the current store;
the determining subunit is used for determining store commodity data matched with the geographical position information, and the store commodity data at least comprises a commodity label corresponding to each commodity information;
the searching subunit is used for searching a target commodity label corresponding to the preference label in the store commodity data according to the preference label in the target object preference information;
and the recommending subunit is used for recommending the target commodity information corresponding to the target commodity label to the target object, wherein the target commodity information at least comprises a commodity name and a commodity display position.
In the embodiment of the present invention, the database stores information of each store and geographical location information corresponding to each store information, in the embodiment of the present invention, the geographical location information of a current store may be obtained, and store information corresponding to the geographical location information may be determined, where the store information at least includes store commodity data, and may also include other data such as store name, store employee data, and the like, and the embodiment of the present invention is not limited in this embodiment. The store product data may include, but is not limited to, the name, the stock quantity, the sales volume, the product label, the product display position, and the like of each product in the store. The product tag may be used to indicate the use or attribute of the product, and may be, for example, "baby food", "size 36", or the like. Furthermore, the target object preference information may include a plurality of preference tags, where the preference tags are used to indicate shopping preference categories of the target object, for example, the preference tags may be "infant products", "shoe bag products", and the like, and the target product tags corresponding to the preference tags may be searched in store product data according to the preference tags in the target object preference information, for example, in a case where the preference tags are "infant products", the target product tags corresponding to the preference tags may be searched, the target product tags may be "infant food", and the target product information corresponding to the target product tags may be recommended to the target object.
As an optional implementation, the smart glasses may further include:
the generation unit is used for generating a shopping track according to the commodity display position and the current position of the target object under the condition that a commodity recommendation confirmation instruction triggered by the target object is received after target commodity information corresponding to the target commodity label is recommended to the target object, wherein the shopping track is a path track taking the current position of the target object as a starting point and the commodity display position as an end point;
and the output unit is used for outputting navigation information according to the real-time position and the shopping track of the target object, wherein the navigation information is path direction information for guiding the target object so that the target object goes to the commodity display position from the current position of the target object according to the navigation information.
In the embodiment of the present invention, after recommending the target commodity information corresponding to the target commodity tag to the target object, the target object may trigger a commodity recommendation confirmation instruction by performing corresponding human-computer interaction operation on the intelligent shopping guide device, or the target object may also trigger a commodity recommendation confirmation instruction by inputting the confirmation instruction by voice, and the like, which is not limited in the embodiment of the present invention. When a commodity recommendation confirmation instruction triggered by the target object is received, the current position of the target object can be acquired, the current position of the target object is used as a starting point, the commodity display position is used as an end point, a shopping track is generated according to the commodity display position and the current position of the target object, and a customer can go from the current position to the commodity display position according to the shopping track. Further, the navigation information may be output according to the real-time position of the target object and the shopping track, where the navigation information is used to guide the target object to advance the target mileage towards the specified path direction, and may include, but is not limited to, "go straight 5 meters", "turn left and go straight 3 meters", and the like. Further alternatively, after the navigation information is output according to the real-time position and the shopping track of the target object, information such as the number of shelf levels where the commodity is located may be output when it is detected that the target object moves to the commodity display position. The process can guide the target object to go to the commodity display position to obtain the commodities needed by the target object, the target object does not need to search the commodity position in a large store range, the time of the target object going to the commodity display position is saved, and the commodity obtaining efficiency is improved.
As an optional implementation manner, a manner that the querying unit is configured to query, in the database, target object preference information that is stored in correspondence with the face image may specifically be:
the query unit is used for querying member registration information and object portrait information corresponding to the face image in a database, wherein the object portrait information at least comprises a preference label; and generating target object preference information according to the preference label.
In the embodiment of the present invention, when a customer transacts a member card of a store, the customer is required to input corresponding member registration information, where the member registration information may include, but is not limited to, a member name, a member gender, a member telephone, a member address, and the like. When a customer transacts the membership card, a face image of the customer can be acquired, the face image and the member registration information are correspondingly stored, when the customer subsequently purchases, a store can acquire the member registration information corresponding to the face image by analyzing the face image of the customer, and can acquire shopping data during the process of purchasing, and under the condition that the quantity of the acquired shopping data reaches a target threshold value, object portrait information corresponding to the customer can be generated according to the shopping data, wherein the object portrait information is used for describing the shopping image of a target object, at least comprises a preference label, and the target object preference information can be generated according to the preference label. For example, if the preference tags are "infant products" and "apparel," the target object preference information generated may be infant apparel.
As an optional implementation, the smart glasses may further include:
the sending unit is used for sending the target object preference information to the target equipment after inquiring the target object preference information correspondingly stored in the face image in the database;
a display unit for controlling the target device to display the target object preference information.
As an optional implementation, the smart glasses may further include:
and an updating unit configured to update the target object preference information according to the shopping behavior data in a case where the shopping behavior data of the target object is detected after recommending the commodity information to the target object according to the target object preference information.
In the embodiment of the present invention, optionally, when the shopping behavior data of the target object is detected, the method for updating the preference information of the target object according to the shopping behavior data may specifically be: and sending out a prompt message for prompting a shopping guide person to input a preference label of the target object under the condition that the shopping behavior data of the target object is detected, wherein the shopping guide person responds to the prompt message and inputs the preference label of the target object by voice. The intelligent glasses can collect voice input by shopping guide personnel, analyze the voice, obtain a preference tag, and add the preference tag to the target object preference information, so that the target object preference information is updated.
In the embodiment of the invention, under the condition that a target object is detected to enter a target area, a face image of the target object is acquired; inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object; and recommending commodity information to the target object according to the target object preference information under the condition that the target object preference information is found. According to the process, the face image of the target object can be acquired in the shopping process, the target object preference information corresponding to the face image is acquired by using a face recognition technology, the commodity information is recommended according to the target object preference information, information recommendation can be performed according to the preference of a customer, and the information recommendation accuracy is improved.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device for implementing the information recommendation method, as shown in fig. 5, the electronic device includes a memory 502 and a processor 504, the memory 502 stores a computer program therein, and the processor 504 is configured to execute the steps in any one of the method embodiments through the computer program.
Optionally, in this embodiment, the electronic apparatus may be located in at least one network device of a plurality of network devices of a computer network.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring a face image of the target object under the condition that the target object is detected to enter the target area;
s2, inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object;
and S3, recommending the commodity information to the target object according to the target object preference information under the condition that the target object preference information is found.
Alternatively, it can be understood by those skilled in the art that the structure shown in fig. 5 is only an illustration, and the electronic device may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 5 is a diagram illustrating a structure of the electronic device. For example, the electronic device may also include more or fewer components (e.g., network interfaces, etc.) than shown in FIG. 5, or have a different configuration than shown in FIG. 5.
The memory 502 may be used to store software programs and modules, such as program instructions/modules corresponding to the information recommendation method and apparatus in the embodiments of the present invention, and the processor 504 executes various functional applications and data processing by running the software programs and modules stored in the memory 502, that is, implements the information recommendation method described above. The memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 502 may further include memory located remotely from the processor 504, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 502 may be, but not limited to, specifically configured to store information such as operation instructions. As an example, as shown in fig. 5, the memory 502 may include, but is not limited to, an obtaining unit 401, an inquiring unit 402, and a recommending unit 403 in the information recommending apparatus. In addition, the information recommendation device may further include, but is not limited to, other module units in the information recommendation device, which is not described in this example again.
Optionally, the transmission device 506 is used for receiving or sending data via a network. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 506 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 506 is a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
In addition, the electronic device further includes: a display 508 for displaying the target object preference information; and a connection bus 510 for connecting the respective module parts in the above-described electronic apparatus.
According to a further aspect of embodiments of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, acquiring a face image of the target object under the condition that the target object is detected to enter the target area;
s2, inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of a target object obtained by analyzing historical shopping data of the target object;
and S3, recommending the commodity information to the target object according to the target object preference information under the condition that the target object preference information is found.
Alternatively, in this embodiment, a person skilled in the art may understand that all or part of the steps in the methods of the foregoing embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing one or more computer devices (which may be personal computers, servers, network devices, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An information recommendation method, comprising:
under the condition that a target object is detected to enter a target area, acquiring a face image of the target object;
inquiring target object preference information correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of the target object obtained by analyzing historical shopping data of the target object;
and recommending commodity information to the target object according to the target object preference information under the condition that the target object preference information is found.
2. The method of claim 1, wherein recommending commodity information to the target object according to the target object preference information comprises:
acquiring geographic position information of a current store;
determining store commodity data matched with the geographic position information, wherein the store commodity data at least comprises a commodity label corresponding to each commodity information;
according to preference labels in the target object preference information, target commodity labels corresponding to the preference labels are searched in the store commodity data;
recommending target commodity information corresponding to the target commodity label to the target object, wherein the target commodity information at least comprises a commodity name and a commodity display position.
3. The method according to claim 2, wherein after recommending the target commodity information corresponding to the target commodity label to the target object, further comprising:
under the condition that a commodity recommendation confirmation instruction triggered by the target object is received, generating a shopping track according to the commodity display position and the current position of the target object, wherein the shopping track is a path track taking the current position of the target object as a starting point and the commodity display position as an end point;
and outputting navigation information according to the real-time position of the target object and the shopping track, wherein the navigation information is path direction information for guiding the target object, so that the target object moves from the current position of the target object to the commodity display position according to the navigation information.
4. The method of claim 1, wherein the querying the database for target object preference information stored in correspondence with the facial image comprises:
inquiring member registration information and object portrait information corresponding to the face image in the database, wherein the object portrait information at least comprises a preference tag;
and generating the target object preference information according to the preference label.
5. The method of claim 1, wherein after querying a database for target object preference information stored in correspondence with the facial image, further comprising:
sending the target object preference information to target equipment;
and controlling the target equipment to display the target object preference information.
6. The method according to any one of claims 1 to 5, further comprising, after recommending commodity information to the target object according to the target object preference information:
and under the condition that the shopping behavior data of the target object is detected, updating the preference information of the target object according to the shopping behavior data.
7. A smart eyewear, comprising:
the device comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring a face image of a target object under the condition that the target object is detected to enter a target area;
the query unit is used for querying target object preference information which is correspondingly stored in the face image in a database, wherein the target object preference information is shopping preference information of the target object obtained by analyzing historical shopping data of the target object;
and the recommending unit is used for recommending the commodity information to the target object according to the target object preference information under the condition that the target object preference information is found.
8. The smart glasses according to claim 7, wherein the recommendation unit includes:
the acquisition subunit is used for acquiring the geographical position information of the current store;
the determining subunit is used for determining store commodity data matched with the geographic position information, and the store commodity data at least comprises a commodity label corresponding to each commodity information;
the searching subunit is configured to search, according to a preference tag in the target object preference information, a target product tag corresponding to the preference tag in the store product data;
and the recommending subunit is used for recommending the target commodity information corresponding to the target commodity label to the target object, wherein the target commodity information at least comprises a commodity name and a commodity display position.
9. A storage medium comprising a stored program, wherein the program when executed performs the method of any of claims 1 to 6.
10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the method of any of claims 1 to 6 by means of the computer program.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010296697.7A CN111539787A (en) | 2020-04-15 | 2020-04-15 | Information recommendation method, intelligent glasses, storage medium and electronic device |
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| CN202010296697.7A CN111539787A (en) | 2020-04-15 | 2020-04-15 | Information recommendation method, intelligent glasses, storage medium and electronic device |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116384A (en) * | 2020-09-14 | 2020-12-22 | 北京明略昭辉科技有限公司 | Taxi advertisement targeted delivery method and system based on image processing |
| CN112506975A (en) * | 2020-11-30 | 2021-03-16 | 橙脑教育科技(上海)有限公司 | Information recommendation method, device and system |
| CN112801737A (en) * | 2021-01-27 | 2021-05-14 | 广州微框物联科技有限公司 | Lipstick shopping guide method and device of intelligent mirror |
| CN113283627A (en) * | 2020-12-15 | 2021-08-20 | 深圳怡化电脑股份有限公司 | Service providing method, device, electronic equipment and machine readable medium |
| CN114387040A (en) * | 2022-03-22 | 2022-04-22 | 触电网络科技(深圳)有限公司 | Intelligent customer-expanding method and system based on artificial intelligence |
-
2020
- 2020-04-15 CN CN202010296697.7A patent/CN111539787A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116384A (en) * | 2020-09-14 | 2020-12-22 | 北京明略昭辉科技有限公司 | Taxi advertisement targeted delivery method and system based on image processing |
| CN112506975A (en) * | 2020-11-30 | 2021-03-16 | 橙脑教育科技(上海)有限公司 | Information recommendation method, device and system |
| CN113283627A (en) * | 2020-12-15 | 2021-08-20 | 深圳怡化电脑股份有限公司 | Service providing method, device, electronic equipment and machine readable medium |
| CN112801737A (en) * | 2021-01-27 | 2021-05-14 | 广州微框物联科技有限公司 | Lipstick shopping guide method and device of intelligent mirror |
| CN114387040A (en) * | 2022-03-22 | 2022-04-22 | 触电网络科技(深圳)有限公司 | Intelligent customer-expanding method and system based on artificial intelligence |
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Application publication date: 20200814 |