CN112348606A

CN112348606A - Information recommendation method, device and system

Info

Publication number: CN112348606A
Application number: CN201910730069.2A
Authority: CN
Inventors: 苗德国; 袁梦琪
Original assignee: Alibaba Group Holding Ltd
Current assignee: Hema China Co Ltd
Priority date: 2019-08-08
Filing date: 2019-08-08
Publication date: 2021-02-09

Abstract

The embodiment of the application discloses an information recommendation method, device and system, wherein the method comprises the following steps: obtaining user occurrence condition information within a preset range from a target shelf object in an entity shop; and determining information to be recommended according to the user occurrence information and the commodity object information related to the target shelf object, so as to be displayed in a target display device. By the embodiment of the application, the effect of the entity shop terrace can be improved in the scene of shopping in the entity shop.

Description

Information recommendation method, device and system

Technical Field

The present application relates to the field of information recommendation technologies, and in particular, to an information recommendation method, apparatus, and system.

Background

In the business model of "new retail," a retailer who opens an online physical store may open an online "cloud store" through the commodity object information service system, and issue discount information of the offline physical store, information of the commodity object, and the like through such a cloud store. The consumer user can browse and purchase through the online App, the online order can be specifically processed by the offline physical store, services such as '2 hours reach' are provided for users in a certain range, and in addition, the consumer user can also directly go to the offline physical store to purchase commodity objects after inquiring the information of the physical store through the App, and the like. In summary, under the above-mentioned commercial development trend, consumer patterns in a plurality of online and offline fields are derived, the consumer shopping appeal is no longer limited to the browsing and purchasing efficiency of online shopping, and how to obtain better services by combining with the online scene, and accordingly, retailers also want to provide better services for consumer users by combining online with offline.

In a scene of shopping in an online physical store, how to provide a better service for a user and improve the effect of the physical store plateau is always a goal pursued by technical personnel in the field.

Disclosure of Invention

The application provides an information recommendation method, device and system, which can improve the lawn effect of an entity shop in a scene of shopping in the entity shop on line.

The application provides the following scheme:

an information recommendation method, comprising:

obtaining user occurrence condition information within a preset range from a target shelf object in an entity shop;

and determining information to be recommended according to the user occurrence information and the commodity object information related to the target shelf object, so as to be displayed in a target display device.

An information recommendation method, comprising:

a display device associated with a target shelf object receives information to be recommended provided by a server, wherein the information to be recommended is determined according to user occurrence information within a preset range from the target shelf object in an entity store and commodity object information associated with the target shelf object;

and displaying the information to be recommended.

An information recommendation method, comprising:

the method comprises the steps that a client receives information to be recommended, which is provided by a server, and is determined according to commodity object information related to a target shelf object after a target user related to the client appears in an entity shop and is within a preset range from the target shelf object; the client runs in the mobile terminal equipment associated with the target user;

and displaying the information to be recommended.

An information recommendation system comprising:

the system comprises a server, a recommendation server and a recommendation server, wherein the server is used for obtaining user occurrence information within a preset range from a target shelf object in an entity store and determining information to be recommended according to the user occurrence information and commodity object information related to the target shelf object;

and the display device is associated with the target shelf object and used for displaying the information to be recommended.

A smart shelf, comprising:

merchandise object display area, and

and the display device is used for displaying recommendation information, and the recommendation information is generated according to the user occurrence condition information within a preset range away from the intelligent shelf and the commodity object information related to the intelligent shelf.

An information processing method includes;

receiving information of at least one shelf object in an entity store, wherein the information is submitted by a client associated with the entity store, at least part of shelves are associated with display devices, and the information of the shelf object comprises: commodity object information associated with the shelf object, and a display device identifier;

and storing the information of at least one shelf object in the entity shop so as to determine the information to be recommended according to the user occurrence information within a preset range from the target shelf object and the commodity object information related to the target shelf object, so as to be displayed in a display device related to the target shelf object.

An information processing method includes;

receiving information of at least one display device in a physical store submitted by a client associated with the physical store, wherein the display device is arranged on a shelf in the physical store, and the information of the display device comprises: commodity object information associated with the display device;

and storing the information of the display device in the entity shop so as to determine the information to be recommended according to the user occurrence information within a preset range from the target display device and the commodity object information associated with the target display device, so as to be displayed in the target display device.

An information recommendation apparatus comprising:

the information acquisition unit is used for acquiring the user occurrence condition information within a preset range from the target shelf object in the entity shop;

and the recommendation information determining unit is used for determining information to be recommended according to the user occurrence information and the commodity object information related to the target shelf object, so as to be displayed in the target display device.

An information recommendation device applied to a display device related to a target shelf object comprises:

the system comprises a first recommendation information receiving unit, a second recommendation information receiving unit and a recommendation processing unit, wherein the first recommendation information receiving unit is used for receiving information to be recommended, which is provided by a server, and the information to be recommended is determined according to user occurrence condition information, which is in a preset range from the target shelf object, in an entity store and commodity object information related to the target shelf object;

and the first recommendation information display unit is used for displaying the information to be recommended.

An information recommendation device is applied to a client, the client runs in a mobile terminal device associated with a target user, and the information recommendation device comprises:

the second recommendation information receiving unit is used for receiving information to be recommended, which is provided by the server, and is determined according to the commodity object information related to the target shelf object after the target user related to the client appears in the entity store and is within a preset range from the target shelf object;

and the second recommendation information display unit is used for displaying the information to be recommended.

An information processing apparatus includes;

shelf information receiving means for receiving information of at least one shelf object in an entity store, which is submitted by a client associated with the entity store, wherein at least a part of the shelves are associated with a display device, and the information of the shelf object includes: commodity object information associated with the shelf object, and a display device identifier;

and the shelf information storage unit is used for storing information of at least one shelf object in the entity shop so as to determine information to be recommended according to the user occurrence information within a preset range from the target shelf object and the commodity object information related to the target shelf object, and the information is used for displaying in the display device related to the target shelf object.

An information processing apparatus includes;

a display device information receiving unit, configured to receive information of at least one display device in a physical store, submitted by a client associated with the physical store, where the display device is provided on a shelf in the physical store, and the information of the display device includes: commodity object information associated with the display device;

and the display device information saving unit is used for saving the information of the display devices in the entity shop so as to determine the information to be recommended according to the user occurrence condition information within a preset range from the target display device and the commodity object information related to the target display device, so as to be displayed in the target display device.

An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:

An electronic device, comprising:

one or more processors; and

receiving information to be recommended provided by a server, wherein the information to be recommended is determined according to user occurrence condition information which is in a preset range from the target shelf object in the entity shop and commodity object information related to the target shelf object;

and displaying the information to be recommended.

An electronic device, comprising:

one or more processors; and

receiving information to be recommended provided by a server, wherein the information to be recommended is determined according to commodity object information associated with a target shelf object after a target user associated with the client appears in an entity store and is within a preset range from the target shelf object; the client runs in the mobile terminal equipment associated with the target user;

and displaying the information to be recommended.

According to the specific embodiments provided herein, the present application discloses the following technical effects:

according to the embodiment of the application, specific information to be recommended can be generated according to the commodity object information related to the specific shelf object and the user occurrence condition in the preset range in front of the shelf, and the information can be displayed through the display device. Therefore, as the user appears in front of the shelf and indicates that the user is possibly selecting the commodity object from the shelf or is about to select the commodity object from the shelf, the information of the relevant commodity object on the shelf is recommended to the user, the purchase conversion rate of the commodity object on the shelf by the user can be improved, and the plateau effect in the entity shop is further improved.

Of course, it is not necessary for any product to achieve all of the above-described advantages at the same time for the practice of the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a schematic diagram of a first system architecture provided by an embodiment of the present application;

FIG. 2 is a schematic diagram of a second system architecture provided by embodiments of the present application;

FIG. 3 is a flow chart of a first method provided by an embodiment of the present application;

4-1 to 4-3 are schematic views of scenes provided by embodiments of the present application;

FIG. 5 is a flow chart of a second method provided by embodiments of the present application;

FIG. 6 is a flow chart of a third method provided by embodiments of the present application;

FIG. 7 is a flow chart of a fourth method provided by embodiments of the present application;

FIG. 8 is a flow chart of a fifth method provided by embodiments of the present application;

FIG. 9 is a schematic diagram of a first apparatus provided by an embodiment of the present application;

FIG. 10 is a schematic diagram of a second apparatus provided by an embodiment of the present application;

FIG. 11 is a schematic diagram of a third apparatus provided by an embodiment of the present application;

FIG. 12 is a schematic diagram of a fourth apparatus provided by an embodiment of the present application;

FIG. 13 is a schematic diagram of a fifth apparatus provided by an embodiment of the present application;

fig. 14 is a schematic diagram of an electronic device provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.

In the embodiment of the application, in order to improve the plateau effect of the physical store, the occurrence condition of a user in a certain range away from a target shelf object in a specific physical store can be determined, information to be recommended is determined according to the occurrence condition of the user and commodity object information related to the specific target shelf object, and then the recommended information can be displayed through a certain display device. Therefore, the user can obtain some recommendation information in the shopping process in the entity shop, and the information is determined according to the information of the goods objects related to the specific goods shelf and the goods shelf of the user, so that the information can be more effectively transmitted to the user, and the conversion rate is favorably improved. The specific information recommendation strategy can be different according to different conditions of specific users near the shelf (whether users appear or not, the number of the users appearing, and the like), and in addition, the display device can also have various different implementation forms, and detailed description is carried out later.

From a specific system architecture perspective, in an implementation manner, referring to fig. 1, an embodiment of the application may include a server and a display device, where the server may operate in a cloud, the display device may be associated with a specific shelf, for example, may be installed on the specific shelf, and the server may send the specific information to be recommended to the display device associated with the shelf for display after determining the specific information to be recommended. In addition, in order to obtain the user appearance in front of the shelf, the shelf can be provided with an image acquisition device and other devices. During specific implementation, the information acquired by the image acquisition device can be submitted to a server, and the server determines the occurrence condition of a user in front of a specific shelf. In addition, in an optional implementation manner, when information recommendation is performed on a user, targeted recommendation can be performed according to personalized information of the user, in this case, the image acquisition device can further have a face image acquisition function, the acquired face image information can also be submitted to a server, the server determines the identity information of the user and the related personalized information, including preference information of a commodity object, and the like, through information recorded in a related online information system, and then performs recommendation of commodity object information to the user.

In another implementation manner, as shown in fig. 2, the embodiment of the present application may further include a server and a client, where the server may also run in the cloud, and the client may run in the mobile terminal device associated with the user. In this case, the information to be recommended determined by the server may be for a specific target user or specific target users, and therefore, the information to be recommended may also be directly sent to the mobile terminal device associated with the specific target user, so that the user may obtain the specific recommendation information through the mobile terminal device, and the recommendation information is related to the information of the commodity object associated with the shelf at the location of the user. In addition, in this way, devices such as an image acquisition device can be installed on the shelf and the like, so as to find the occurrence of a user at a specific shelf or perform functions such as identification and the like on the user.

The following provides a detailed description of specific embodiments provided in the examples of the present application.

Example one

First, in the first embodiment, from the perspective of the server, an information recommendation method is provided, and referring to fig. 3, the method may specifically include:

s301: obtaining user occurrence condition information within a preset range from a target shelf object in an entity shop;

in a physical store, a plurality of shelves are usually deployed, and specific goods can be placed on the specific shelves according to different categories and the like for users entering the physical store to choose. In the embodiment of the application, an image acquisition device can be deployed on the shelf or near the shelf, so that the occurrence of a user near the shelf can be acquired and reported to the server. The image acquisition device can be a depth camera capable of acquiring depth information, so that when the user near the goods shelf is subjected to image acquisition, whether the user exists near the goods shelf or not can be determined, and the distance information between the user and the goods shelf can also be determined. Therefore, according to the distance information, the occurrence conditions of various specific users can be determined. For example, there may be no user present within a preset range (e.g., 3 meters) from the target shelf, as shown in fig. 4-1, or one user within a preset range from the target shelf, as shown in fig. 4-2, or multiple users within a preset range from the target shelf, as shown in fig. 4-3, and so on.

S302: and determining information to be recommended according to the user occurrence information and the commodity object information related to the target shelf object, so as to be displayed in a target display device.

After the occurrence condition of the user within a preset range from the target shelf is determined, the information to be recommended can be determined according to the occurrence condition information of the user and the commodity object information associated with the target shelf object. The server may pre-store information of correspondence between shelf objects and commodity objects in a plurality of entity stores, that is, which shelves are provided in a specific entity store, which commodity objects are placed on each shelf, category information of the commodity objects, and the like. For example, the specific storage method may be as shown in table 1:

TABLE 1

In the case where the display device and the collection device are associated with the shelf object, the correspondence between the shelf object and the display device and the identification of the collection device may be stored in the server in advance. For example, the following may be specifically mentioned in table 2:

TABLE 2

In this way, the user condition near the specific shelf object can be acquired by the acquisition device in the entity store and submitted to the server, so that under the condition that the server side stores the corresponding relationship, the server can determine which specific target shelf object is associated after receiving the user occurrence condition information submitted by a certain acquisition device. Then, the recommendation information can be determined according to the information of the commodity object associated with the target shelf object, and then, when the display device associated with the shelf object is required to display, the information in the table 2 is also stored, so that the display device to which the information to be recommended is specifically required to be sent to display can be determined.

In addition, the server may also store historical sales data information of a specific target shelf, for example, a sales leaderboard of a specific commodity object on a certain target shelf, and the like, which may be used as a basis for recommendation.

For example, specifically, when recommending is performed according to the presence of a user near the shelf, if no user is present in the preset range, the information to be recommended may be determined according to historical sales data of the commodity object associated with the target shelf object or information of a preset specified commodity object. For example, information of the commodity object whose sales ranked three top in the last month on the target shelf can be specifically presented, and so on. Alternatively, a recommended commodity object may be associated with a specific target shelf in advance, and in the case where no user is present in a certain range near the shelf, such information that is not related to the specific user may be recommended. It should be noted that, in the embodiment of the present application, although there is no user present within a preset range from the target shelf, there may still be users present at a position relatively far away from the target shelf, and these users may be able to see the content displayed in the display device on the shelf, and it may not be possible or temporarily necessary for the server to determine a specific target user and identify the specific target user, so that a relatively general recommendation information may be provided, so that under the guidance of the recommendation information, more users may be able to get closer to the shelf, thereby increasing the purchase conversion rate.

In another case, if the number of the users appearing in the preset range is one or more, that is, it means that at least one user is paying attention to the commodity object on the shelf, at this time, if more targeted personalized information recommendation can be performed to the user, a better recommendation effect can be obtained. Therefore, in this case, a target user may be first determined from users who have entered a preset range, and then, information to be recommended may be determined based on the relevant information of the target user and the information of the commodity object associated with the target shelf object.

Specifically, when determining the information to be recommended according to the related information of the target user and the information of the goods object associated with the target shelf object, there may be multiple implementation manners, for example, in one manner, the identification of the target user in an associated online information system (for example, an associated online goods object information service system, or a payment system, etc.) may be performed, and the preference information of the target user for the goods object may be determined according to information recorded in the online information system, for example, the preference information may specifically include a category of the goods object that the target user prefers to purchase, or a brand and a model of the goods object that the user regularly purchases, and the like, according to the historical shopping record of the user. Then, the information to be recommended may be determined according to an intersection between the set of commodity objects preferred by the target user and the set of commodity objects associated with the target shelf object. For example, a user often purchases a certain type of towel, and the user can recommend the information that the towel is on the shelf to the user, if the user has the towel on the shelf. In addition, in an optional manner, information such as a specific position of the recommended commodity object on the shelf may also be prompted in some manner, for example, a prompt including a description type of words, or an illustration, and the like.

Or, in another mode, the physical feature information of the target user can be acquired, the crowd information to which the target user belongs is determined according to the physical feature information, and the information to be recommended is determined according to the target crowd information to which the commodity object information associated with the target shelf object faces. For example, if a certain target user is found to be a male, the information of the commodity object more suitable for the male user to purchase, which is associated with the target shelf object, may be recommended. Alternatively, if there is no commodity object information in the shelf object that faces the crowd information to which the target user belongs, but the target user appears near the shelf, the user may be directed to shop for a gift to another person. For example, a male user may be in front of a shelf that primarily stores merchandise items related to children's supplies, and may be aimed at selecting gifts for children, and so on. Therefore, when specifically recommending, the recommendation can also be performed according to the information of the commodity object determined to have the gift attribute in the commodity objects related to the shelf object. Whether the commodity object information has the gift attribute may be set in the database in advance.

It should be noted here that, in the embodiment of the present application, as for the physical features and the like of the user, the user privacy is not involved because the user belongs to the general features of the user, and therefore, the user can generally directly obtain the physical features and the like. For example, the user may be permitted to obtain the identity information registered in the online system, since the privacy of the user may be involved. The user permission can be obtained in various ways, for example, the user is queried in advance in the associated application program to obtain the user permission, and so on.

When the target user is determined from the users appearing in the preset range near the target shelf, different modes can be provided according to different specific situations. For example, if the number of users appearing in the preset range is one, the user may be directly determined as the target user. Then, the image acquisition device can be used for carrying out operations such as facial image acquisition on the user, the acquisition result is submitted to the server, and then the server can determine user identity information corresponding to the specifically acquired facial image data according to the user information recorded in the associated online information system. The identity information may refer to information registered by the user in a specific online information system, including account information, or an identity ID assigned thereto by the system, and so on. Furthermore, preference information and the like of the target user to the commodity object can be determined from the online information system so as to be used for specific personalized information recommendation.

And if the number of the appearing users in the preset range is multiple, one user can be selected as a target user, and then personalized information is recommended to the target user. Specifically, firstly, the identities of the users in the associated online information system may be respectively identified, then, according to the information of the users recorded in the online information system, the association degrees of the users and the commodity object set associated with the target shelf object are respectively determined, and the user whose association degree meets the condition is determined as the target user.

The information of the plurality of users recorded in the online information system may include a plurality of types, for example, may specifically include historical purchase record information, consumption level information, and/or preference information for the commodity object of each of the plurality of users.

For example, users A, B, C all enter a range of 3 meters near a certain shelf, and at this time, according to historical purchase record information, consumption level information, preference information on commodity objects and the like of these users, it can be determined which user's shopping demand the commodity objects on the current shelf more match, and the user with the highest matching degree is determined as the target user, so that the conversion rate can be improved. For example, assuming that the goods displayed on the current target shelf belong to high-end consumer goods, and the average price is above 100 yuan, where the consumption levels of the user a and the user C are relatively low, and the consumption level of the user B is relatively high, it can be determined that the goods object on the shelf may match the shopping demand of the user B more, so the user B can be determined as the target user, and then personalized recommendation information can be further provided for the user B according to the information such as the preference of the user B.

Specifically, after the information to be recommended is determined, the information can be sent to a target display device for display. As described above, the specific target display device may be in various forms. For example, in one form, the target display device may include: and the mobile terminal equipment is associated with the target user. After the personalized recommendation information is determined for the specific target user, the information to be recommended can be sent to the mobile terminal device associated with the target user for display.

Alternatively, in another mode, the target display device may include: the display device associated with the target shelf object may be, for example, a display screen mounted on a shelf, or the like. At this time, after determining the information to be recommended, the server may send the information to be recommended to the display device associated with the target shelf object for display.

In addition, no matter the display is carried out through the display device on the goods shelf or the display is carried out through the mobile terminal equipment of the user, in the process of displaying the recommendation information, the position information and the like of the specific recommended goods object on the related goods shelf can be prompted, so that the user can conveniently and quickly locate the specific goods object. There may be various ways of providing the prompt information, for example, the location information may be directly described in a text manner, or may also be described in an animation manner, and the like.

Under the condition that the recommended information is displayed through the display screen installed on the shelf, if the situation of the user within a preset range away from the target shelf object changes, which causes the change of the information to be recommended, the content displayed in the display device associated with the target shelf object can be updated. That is, the information content presented on the same shelf may change from time to time for the same shelf-mounted display. For example, at some time t1, when no user comes within a preset range, a sales leaderboard information for the shelf may be displayed; at the time t2, if one user a enters a preset range, the displayed content can be updated to the personalized recommendation information for the user a; at time t3, more users enter the preset range, and the probability that the newly appeared user B may purchase the commodity object on the current shelf is higher, the displayed content may be updated to the personalized recommendation information for the user B, and so on.

In a word, according to the embodiment of the application, specific information to be recommended can be generated according to the commodity object information associated with the specific shelf object and the occurrence condition of the user in the preset range in front of the shelf, and the information can be displayed through the display device. Therefore, as the user appears in front of the shelf and indicates that the user is possibly selecting the commodity object from the shelf or is about to select the commodity object from the shelf, the information of the relevant commodity object on the shelf is recommended to the user, the purchase conversion rate of the commodity object on the shelf by the user can be improved, and the plateau effect in the entity shop is further improved.

It should be noted that, in practical applications, the final purchase condition of the user in the physical store may be tracked and recorded, the data may be used to judge the validity of the recommendation result, and may also be used to update or re-evaluate information such as user preference, and during the process that the user enters the physical store again to shop, the information of the commodity object may be recommended to the user by using the updated information, so as to form a closed loop of the information link.

Example two

In a second embodiment, from the perspective of the display device associated with the shelf object, an information recommendation method is provided, and referring to fig. 5, the method may specifically include:

s501: a display device associated with a target shelf object receives information to be recommended provided by a server, wherein the information to be recommended is determined according to user occurrence information within a preset range from the target shelf object in an entity store and commodity object information associated with the target shelf object;

s502: and displaying the information to be recommended.

Certainly, in practical application, the server can also provide the position information of the commodity object information to be recommended on the goods shelf, and at the moment, the display device can also display the position information, so that the user can conveniently and quickly position the specific commodity object, and the purchasing efficiency is improved.

EXAMPLE III

As described above, the display device actually used for displaying the information to be recommended may also be a mobile terminal device associated with the user, in this case, an associated client program may be installed or run in the mobile terminal device in advance, and the third embodiment provides an information recommendation method from the perspective of an associated client in the mobile terminal device, referring to fig. 6, where the method may specifically include:

s601: the method comprises the steps that a client receives information to be recommended, which is provided by a server, and is determined according to commodity object information related to a target shelf object after a target user related to the client appears in an entity shop and is within a preset range from the target shelf object; the client runs in the mobile terminal equipment associated with the target user;

s602: and displaying the information to be recommended.

Example four

The fourth embodiment provides an information recommendation system, including:

EXAMPLE five

This embodiment five still provides an intelligent goods shelves, and is specific, this intelligent goods shelves can include: merchandise object display area, and

When specifically realizing, this intelligence goods shelves can also include:

and the acquisition device is used for acquiring the occurrence information of the user within a preset range from the intelligent shelf, submitting the acquisition result to a server, and determining the recommendation information by the server.

Wherein the acquisition device comprises an image acquisition device.

Specifically, the image acquisition device may be further configured to acquire a face image of a target user, so as to determine the recommendation information by combining the identity information of the target user.

Or, the image acquisition device may be further configured to acquire physical characteristics of the target user, so as to determine the recommendation information in combination with the physical characteristic information of the target identity.

EXAMPLE six

In a sixth embodiment, an information processing method is provided, where in a specific implementation, information related to a shelf object in a specific entity store may be configured at a server side in advance, so that the server side may determine, according to the specific configuration information, commodity object information and the like related to the specific shelf object, so as to recommend the related commodity object information. Specifically, referring to fig. 7, the method may specifically include;

s701: receiving information of at least one shelf object in an entity store, wherein the information is submitted by a client associated with the entity store, at least part of shelves are associated with display devices, and the information of the shelf object comprises: commodity object information associated with the shelf object, and a display device identifier;

s702: and storing the information of at least one shelf object in the entity shop so as to determine the information to be recommended according to the user occurrence information within a preset range from the target shelf object and the commodity object information related to the target shelf object, so as to be displayed in a display device related to the target shelf object.

In specific implementation, the shelf object can be associated with a collecting device; in this case, the information on the shelf object may further include: and the identification information of the acquisition device associated with the shelf object is used for determining the associated target shelf object according to the user occurrence information submitted by the acquisition device, and then determining the information to be recommended according to the commodity object information associated with the target shelf object and the user occurrence information.

EXAMPLE seven

In the sixth embodiment, the information of the shelf object is specifically associated with the information of the specific commodity object, and in another mode, the information of the specific commodity object may also be associated with the information of the display device, that is, the association relationship between the display device and the information of the commodity object may be recorded in the server, so that the recommendation of the information of the specific commodity object may be realized without recording the shelf information. Specifically, referring to fig. 8, a seventh embodiment provides an information processing method, which may specifically include;

s801: receiving information of at least one display device in a physical store submitted by a client associated with the physical store, wherein the display device is arranged on a shelf in the physical store, and the information of the display device comprises: commodity object information associated with the display device;

s802: and storing the information of the display device in the entity shop so as to determine the information to be recommended according to the user occurrence information within a preset range from the target display device and the commodity object information associated with the target display device, so as to be displayed in the target display device.

For the parts of the second to seventh embodiments that are not described in detail, reference may be made to the descriptions of the first embodiment, and details are not repeated here.

Corresponding to the first embodiment, an embodiment of the present application further provides an information recommendation device, referring to fig. 9, where the information recommendation device may specifically include:

an information obtaining unit 901, configured to obtain user occurrence information within a preset range from a target shelf object in an entity store;

a recommendation information determining unit 902, configured to determine information to be recommended according to the user occurrence information and the commodity object information associated with the target shelf object, so as to be displayed in the target display device.

The recommendation information determining unit may specifically be configured to:

and if no user appears in the preset range, determining information to be recommended according to historical sales data of the commodity object associated with the target shelf object or information of a preset specified commodity object.

Or, the recommendation information determining unit may specifically include:

the target user determining subunit is configured to determine a target user from the users appearing in the preset range if the number of the users appearing in the preset range is at least one;

and the recommending subunit is used for determining information to be recommended according to the relevant information of the target user and the commodity object information related to the target shelf object.

Wherein the target user determination subunit may be specifically configured to:

and if the number of the users appearing in the preset range is one, determining the user as the target user.

Alternatively, the target user determination subunit may also be configured to:

if the number of the users appearing in the preset range is multiple, respectively identifying the identities of the multiple users in the associated online information system;

determining the association degree of the commodity object set associated with the target shelf object by the users according to the information of the users recorded in the online information system;

and determining the users with the correlation degrees meeting the conditions as the target users.

The identity information of the user in the online information system can be determined by face recognition of the user entering the preset range.

Specifically, the recommendation subunit may specifically be configured to:

identifying the identity of the target user in an associated online information system, and determining the preference information of the target user to the commodity object according to the information recorded in the online information system;

and determining the information to be recommended according to the intersection of the commodity object set preferred by the target user and the commodity object set associated with the target shelf object.

Wherein the information of the plurality of users recorded in the online information system includes: historical purchase record information, consumption level information, and/or preference information for the merchandise object for each of the plurality of users.

Or, in another mode, the recommendation subunit may also be configured to:

acquiring the physical feature information of the target user;

determining the crowd information to which the target user belongs according to the physical feature information;

and determining information to be recommended according to the target crowd information oriented to the commodity object information associated with the target shelf object.

And if the goods object information facing the crowd information to which the target user belongs does not exist in the shelf object, recommending according to the goods object information with the gift attribute determined in the goods objects related to the shelf object.

Wherein the target display apparatus includes: the mobile terminal equipment associated with the target user;

the device further comprises:

and the first sending unit is used for sending the information to be recommended to the mobile terminal equipment associated with the target user for displaying after the information to be recommended is determined.

Alternatively, the target display device includes: a display device associated with the target shelf object;

the apparatus may further include:

and the second sending unit is used for sending the information to be recommended to a display device associated with the target shelf object for displaying after the information to be recommended is determined.

In addition, the apparatus may further include:

and the position prompting unit is used for prompting the storage position information of the information to be recommended on the target shelf in the target display device.

When the situation of the user within a preset range away from the target shelf object changes, which causes the change of the information to be recommended, the content displayed in the display device associated with the target shelf object is updated.

Corresponding to the second embodiment, the embodiment of the present application further provides an information recommendation apparatus, which is applied to a display apparatus associated with a target shelf object, and referring to fig. 10, the apparatus may include:

a first recommendation information receiving unit 1001, configured to receive information to be recommended, which is provided by a server, where the information to be recommended is determined according to user occurrence information within a preset range from the target shelf object in an entity store and commodity object information associated with the target shelf object;

the first recommendation information displaying unit 1002 is configured to display the information to be recommended.

Corresponding to the embodiment, an embodiment of the present application further provides an information recommendation apparatus, which is applied to a client, where the client runs in a mobile terminal device associated with the target user, and referring to fig. 11, the apparatus may include:

a second recommendation information receiving unit 1101, configured to receive information to be recommended provided by a server, where the information to be recommended is determined according to information of a commodity object associated with a target shelf object after a target user associated with the client appears in an entity store and is within a preset range from the target shelf object;

a second recommendation information displaying unit 1102, configured to display the information to be recommended.

Corresponding to the sixth embodiment, the present application further provides an information processing apparatus, which may include, referring to fig. 12;

shelf information receiving means 1201 for receiving information on at least one shelf object in an entity store, which is provided by a client associated with the entity store and to which a display device is associated at least in part, the information on the shelf object including: commodity object information associated with the shelf object, and a display device identifier;

a shelf information saving unit 1202, configured to save information of at least one shelf object in the physical store, so as to determine information to be recommended according to user occurrence information within a preset range from a target shelf object and commodity object information associated with the target shelf object, so as to be displayed on a display device associated with the target shelf object.

Corresponding to the seventh embodiment, the embodiment of the present application further provides an information processing apparatus, referring to fig. 13, which may include;

a display device information receiving unit 1301, configured to receive information of at least one display device in a physical store, the information being submitted by a client associated with the physical store, where the display device is provided on a shelf in the physical store, and the information of the display device includes: commodity object information associated with the display device;

a display device information saving unit 1302, configured to save information of the display devices in the physical store, so as to determine information to be recommended according to user occurrence information within a preset range from a target display device and commodity object information associated with the target display device, so as to be displayed in the target display device.

In addition, an embodiment of the present application further provides an electronic device, including:

one or more processors; and

Another electronic device, comprising:

one or more processors; and

and displaying the information to be recommended.

And another electronic device, comprising:

one or more processors; and

and displaying the information to be recommended.

Where fig. 14 illustratively shows the architecture of an electronic device, for example, device 1400 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, an aircraft, or the like.

Referring to fig. 14, device 1400 may include one or more of the following components: a processing component 1402, a memory 1404, a power component 1406, a multimedia component 1408, an audio component 1410, an input/output (I/O) interface 1412, a sensor component 1414, and a communication component 1416.

The processing component 1402 generally controls the overall operation of the device 1400, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 1402 may include one or more processors 1420 to execute instructions to perform all or a portion of the steps of the methods provided by the presently disclosed subject matter. Further, processing component 1402 can include one or more modules that facilitate interaction between processing component 1402 and other components. For example, the processing component 1402 can include a multimedia module to facilitate interaction between the multimedia component 1408 and the processing component 1402.

The memory 1404 is configured to store various types of data to support operation at the device 1400. Examples of such data include instructions for any application or method operating on device 1400, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1404 may be implemented by any type of volatile or non-volatile storage device or combination of devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 1406 provides power to the various components of the device 1400. The power components 1406 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the device 1400.

The multimedia component 1408 includes a screen that provides an output interface between the device 1400 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1408 includes a front image capture device and/or a rear image capture device. The front image capture device and/or the rear image capture device may receive external multimedia data when the device 1400 is in an operational mode, such as a capture mode or a video mode. Each of the front and rear image capturing devices may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 1410 is configured to output and/or input audio signals. For example, the audio component 1410 includes a Microphone (MIC) configured to receive external audio signals when the device 1400 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 1404 or transmitted via the communication component 1416. In some embodiments, audio component 1410 further includes a speaker for outputting audio signals.

I/O interface 1412 provides an interface between processing component 1402 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor component 1414 includes one or more sensors for providing various aspects of status assessment for the device 1400. For example, the sensor component 1414 may detect an open/closed state of the device 1400, a relative positioning of components, such as a display and keypad of the device 1400, a change in position of the device 1400 or a component of the device 1400, the presence or absence of user contact with the device 1400, an orientation or acceleration/deceleration of the device 1400, and a change in temperature of the device 1400. The sensor assembly 1414 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 1414 may also include a photosensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 1416 is configured to facilitate wired or wireless communication between the device 1400 and other devices. The device 1400 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication section 1416 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1416 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the device 1400 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 1404 comprising instructions, executable by the processor 1420 of the device 1400 to perform the methods provided by the present disclosure is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

The foregoing detailed description has provided the present application with specific examples to explain the principles and implementations of the present application, which are merely provided to facilitate an understanding of the methods and their core concepts; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific embodiments and the application range may be changed. In view of the above, the description should not be taken as limiting the application.

Claims

1. An information recommendation method, comprising:

2. The method of claim 1,

the determining of the information to be recommended includes:

3. The method of claim 1,

the determining of the information to be recommended includes:

if the number of the users appearing in the preset range is at least one, determining a target user from the users appearing in the preset range;

and determining information to be recommended according to the related information of the target user and the commodity object information related to the target shelf object.

4. The method of claim 3,

the determining a target user from the users appearing in the preset range comprises:

5. The method of claim 3,

6. The method according to claim 4 or 5,

and determining the identity information of the user in the online information system by means of face recognition of the user entering the preset range.

7. The method of claim 3,

the determining of the information to be recommended includes:

8. The method of claim 7,

the information of the plurality of users recorded in the online information system includes: historical purchase record information, consumption level information, and/or preference information for the merchandise object for each of the plurality of users.

9. The method of claim 3,

the determining of the information to be recommended includes:

acquiring the physical feature information of the target user;

10. The method of claim 9,

the determining of the information to be recommended includes:

11. The method according to claim 4 or 5,

the target display device includes: the mobile terminal equipment associated with the target user;

the method further comprises the following steps:

and after the information to be recommended is determined, sending the information to be recommended to the mobile terminal equipment associated with the target user for displaying.

12. The method according to any one of claims 1 to 5,

the target display device includes: a display device associated with the target shelf object;

the method further comprises the following steps:

and after the information to be recommended is determined, sending the information to be recommended to a display device associated with the target shelf object for display.

13. The method of any of claims 1 to 5, further comprising:

and prompting the storage position information of the information to be recommended on the target shelf in the target display device.

14. The method of claim 12,

and when the situation of the user within a preset range away from the target shelf object changes, which causes the change of the information to be recommended, updating the content displayed in the display device associated with the target shelf object.

15. An information recommendation method, comprising:

and displaying the information to be recommended.

16. An information recommendation method, comprising:

and displaying the information to be recommended.

17. An information recommendation system, comprising:

18. An intelligent shelf, comprising:

merchandise object display area, and

19. The smart shelf of claim 18, further comprising:

20. The intelligent shelf according to claim 19,

the acquisition device comprises an image acquisition device.

21. The intelligent shelf according to claim 20,

the image acquisition device is also used for acquiring a face image of the target user so as to determine the recommendation information by combining the identity information of the target user.

22. The intelligent shelf according to claim 20,

the image acquisition device is further used for acquiring the physical and appearance characteristics of the target user so as to determine the recommendation information by combining the physical and appearance characteristic information of the target identity.

23. An information processing method characterized by comprising;

24. The method of claim 23,

the shelf object is also associated with a collecting device;

the information of the shelf object further includes: and the identification information of the acquisition device associated with the shelf object is used for determining the associated target shelf object according to the user occurrence information submitted by the acquisition device, and then determining the information to be recommended according to the commodity object information associated with the target shelf object and the user occurrence information.

25. An information processing method characterized by comprising;

26. An information recommendation apparatus, comprising:

27. An information recommendation device applied to a display device associated with a target shelf object, comprising:

28. An information recommendation device applied to a client running in a mobile terminal device associated with a target user, comprising:

29. An information processing apparatus characterized by comprising;

30. An information processing apparatus characterized by comprising;

31. An electronic device, comprising:

one or more processors; and

32. An electronic device, comprising:

one or more processors; and

and displaying the information to be recommended.

33. An electronic device, comprising:

one or more processors; and

and displaying the information to be recommended.