CN110175866A - Related information distribution method, device, electronic equipment and related information delivery system - Google Patents

Abstract

The invention discloses a method, a device, an electronic device and a system for distributing associated information. The method for distributing the associated information includes: receiving the identity information of the consumer; determining the associated information corresponding to the consumer based on the identity information of the consumer; sending the associated information for selection by the consumer; the associated information includes the first A piece of information, the first information is obtained in advance by: searching for multiple historical behavior trajectories of the current consumer in a given area; counting the first information whose correlations with the multiple historical behavior trajectories exceed a given first threshold Commodity set; select one or more commodities from the first commodity set, and generate the corresponding first information. The invention adopts technical means to improve the purchase conversion rate of the promotional information, and more effectively distributes the associated information that matches the purchasing habits and willingness of consumers.

Description

Related information distribution method, device, electronic device, and related information distribution system

technical field

The present invention relates to the technical field of web front-end, and in particular, to a method, device, electronic device and system for distributing associated information.

Background technique

At present, the sending of commodity-related information is generally universal, that is, for all consumers. For example, the most commonly used commodity-related information is coupons (such as gift coupons, discount coupons, etc.) in shopping places, which have the following problems:

First, the medium is paper or card, which is not environmentally friendly and has a high cost;

Second, coupons are issued uniformly by shopping places (such as stores). It is not an interactive expression. It is formulated by shopping malls from top to bottom for all customers, rather than provided to designated people according to the purchase characteristics of customers. Therefore, the promotion effect is relatively weak.

In addition, although some promotional information is no longer sent in paper, there is still a lack of interaction with consumers' purchasing habits, and the promotion effect is weak for all consumers.

How to use technical means to improve the purchase conversion rate of promotional information and more effectively distribute related information that matches consumers' purchasing habits and willingness is a technical problem that those skilled in the art need to solve urgently.

SUMMARY OF THE INVENTION

In view of this, the present invention provides a related information distribution method, device, electronic equipment and related information distribution system, which can improve the purchase conversion rate of promotional information by using technical means, and more effectively distribute and consumers' purchasing habits and willingness. matching related information.

In a first aspect, the present invention provides a method for distributing associated information, including:

Receive consumer identifiable information;

Determine the associated information corresponding to the consumer based on the identity information of the consumer;

sending the associated information for consumer selection; wherein

The associated information includes first information, and the first information is obtained in advance in the following manner:

Search multiple historical behavior trajectories of current consumers in a given area;

Counting the first commodity sets whose correlations with a plurality of the historical behavior trajectories exceed a given first threshold;

One or more commodities are selected from the first commodity set to generate the corresponding first information.

Preferably, in the above method for distributing associated information, the associated information further includes second information, and the second information is determined in the following manner:

Count the historical behavior trajectories of a given number of different consumers in the given area;

Counting second commodity sets whose correlations with the plurality of historical behavior trajectories exceed a given second threshold;

One or more commodities are selected from the second commodity set to generate the corresponding second information.

Preferably, in the above method for distributing related information, the historical behavior track of the consumer is determined by an indoor positioning system.

Preferably, in the above method for distributing associated information, the associated information is a commodity coupon.

Preferably, in the above method for distributing related information, the first information and the second information are updated regularly.

In a second aspect, the present invention also provides a device for distributing associated information, including:

The receiving module is used to receive the identity information of the consumer;

an association information determination module, configured to determine the association information corresponding to the consumer based on the identity information of the consumer;

a sending module for sending the associated information for consumers to choose; wherein

The association information includes first information, and the first information in the association information determination module is obtained in advance by the following units:

The first statistical unit is used to search for multiple historical behavior trajectories of the current consumer in a given area;

a second statistical unit, configured to count the first commodity sets whose correlations with a plurality of the historical behavior trajectories exceed a given first threshold;

A first generating unit, configured to select one or more commodities from the first commodity set, and generate the corresponding first information.

Further, in the above-mentioned associated information issuing device, the associated information further includes second information, and the second information in the associated information determination module is obtained in advance by the following units:

a third statistical unit, used to count the historical behavior trajectories of a given number of consumers in the given area;

a fourth statistical unit, configured to count second commodity sets whose correlations with the plurality of the historical behavior trajectories exceed a given second threshold;

The second generating unit is configured to select one or more commodities from the second commodity set, and generate the corresponding second information.

Further, in the above-mentioned apparatus for distributing related information, the historical behavior track of the consumer is determined by an indoor positioning system.

In a third aspect, the present invention also provides an electronic device, the electronic device comprising:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute any one of the aforementioned methods for distributing association information.

In a fourth aspect, the present invention also provides a system for distributing associated information, including:

Indoor positioning equipment, servers, and consumer terminals;

The indoor positioning device is used to identify the behavior track of consumers in a given area;

The consumer terminal is used for identifying consumer identity information, and uploading the consumer identity information to the server;

The server is configured to determine the related information corresponding to the consumer according to the consumer identity information, and send the related information for the consumer to choose; wherein

The associated information includes first information and/or second information, and the first information is obtained in advance in the following manner:

Counting the multiple historical behavior trajectories of the current consumer in a given area sent by the indoor positioning device;

Counting the first commodity sets whose correlations with a plurality of the historical behavior trajectories exceed a given first threshold;

Select one or more commodities from the first commodity set to generate the corresponding first information;

The second information is determined as follows:

Count the historical behavior trajectories of a given number of different consumers in the given area;

Counting second commodity sets whose correlations with the plurality of historical behavior trajectories exceed a given second threshold;

Select one or more commodities from the second commodity set to generate the corresponding second information;

In addition, the consumer terminal is further configured to receive the associated information.

In the present invention, the historical behavior trajectories of consumers are obtained through the indoor positioning system, and the commodities with high correlation with the behavior trajectories are obtained by means of statistics, and then the consumption habits of consumers can be obtained, so that the consumption habits of consumers can be effectively distributed. Related information that matches the willingness to improve the purchase conversion rate of promotional information.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without any creative effort.

1 is a flowchart of steps of a method for distributing associated information according to an embodiment of the present invention;

2 is a schematic diagram of the historical behavior track of a current consumer in a method for distributing associated information provided by an embodiment of the present invention;

3 is a schematic diagram of a current consumer's historical behavior track in a method for distributing associated information provided by another embodiment of the present invention;

4 is a flowchart of steps of another method for distributing associated information provided by an embodiment of the present invention;

5 is a schematic diagram of historical behavior trajectories of a given number of different consumers in a given area in the method for distributing associated information provided by an embodiment of the present invention;

6 is a structural block diagram of an apparatus for distributing associated information provided by an embodiment of the invention;

7 is a structural block diagram of another associated information distribution apparatus provided by an embodiment of the present invention;

FIG. 8 is a structural block diagram of an electronic device according to an embodiment of the invention.

Detailed ways

The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

The embodiments of the present disclosure are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Obviously, the described embodiments are only some, but not all, embodiments of the present disclosure. The present disclosure can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.

It is noted that various aspects of embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is illustrative only. Based on this disclosure, those skilled in the art should appreciate that an aspect described herein may be implemented independently of any other aspects and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method may be practiced using any number of the aspects set forth herein. Additionally, such an apparatus may be implemented and/or such a method may be practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.

It should also be noted that the drawings provided in the following embodiments are only illustrative of the basic concept of the present disclosure, and the drawings only show the components related to the present disclosure rather than the number, shape and the number of components in actual implementation. For dimension drawing, the type, quantity and proportion of each component can be changed at will in actual implementation, and the component layout may also be more complicated.

Additionally, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, one skilled in the art will understand that the described aspects may be practiced without these specific details.

Referring to FIG. 1, FIG. 1 is a flowchart of steps of a method for distributing associated information according to an embodiment of the present invention, including the following steps:

S110, receiving the identity information of the consumer.

When a customer comes to the store, registration is performed using a self-service terminal installed in the store, or a mobile terminal that the customer has.

In one embodiment, the consumer identity information can be obtained in the following manner: after the customer enters the shopping mall, he receives a shopping cart, and a consumer terminal is installed on the shopping cart, which has a camera and can consume the shopping cart by hand. The user takes pictures and takes pictures, and sends the pictures obtained by taking pictures to the server of the shopping place as identity information.

In another embodiment, customer identification can also be performed without the use of the consumer terminal of the shopping cart. A camera is provided at the entrance of the shopping mall or supermarket, and customer information is obtained through the camera and uploaded to the server of the shopping place.

It should be noted that this solution is applicable to customers whose identity has been registered in a specific shopping place, for example, a face image has been uploaded when registering member information.

Of course, the identity information in the present invention may not be limited to the face image, and may also be based on the identity information manually input by the customer, such as phone number, registered account, nickname and so on. The present invention does not limit this.

S120, based on the identity information of the consumer, determine the associated information corresponding to the consumer.

The server receives the picture information of the consumer, compares the consumer information in the database, confirms the specific consumer, and then finds the associated information corresponding to the specific consumer. The associated information here may be a coupon for a product. In addition to coupons, the associated information may also be other promotional information such as discount information.

In one embodiment, the associated information includes first information, and the first information is obtained in advance in the following manner:

S1201, searching for multiple historical behavior trajectories of the current consumer in a given area.

Referring to FIG. 2, FIG. 2 is a historical behavior track of the current consumer in one embodiment. It can be seen that there are three historical behavior trajectories 1, 2 and 3 for current consumers. These three trajectories have a common entrance and exit. From the behavior trajectories in Figure 2, it can be seen that the three behavior trajectories all pass through shelf A and shelf B.

In one embodiment, the consumer's historical behavioral trajectory is determined by an indoor positioning system.

The indoor positioning system includes: signal transmitting source (positioning label), signal receiving terminal (positioning base station); data transmission part and data processing part (server and personnel positioning management software). During the specific implementation, the positioning base station is installed in the shopping space to be positioned, and the specific installation quantity and installation location and installation height need to be determined according to the actual site space. The data of all base stations is aggregated to the server, and the customer's trolley is equipped with a signal emission source (location tag), so that the customer's location can be located, and then, according to the dynamic position change of the customer, the behavior track is generated.

S1202: Count the first commodity sets whose correlations with multiple historical behavior trajectories exceed a given first threshold.

Continuing to refer to FIG. 2 , as shown in the figure, the shelf A includes commodity a, and the shelf B includes commodity b. The three historical behavior trajectories in the figure all pass through commodity a on shelf A and commodity b on shelf B.

In one embodiment, the commodities whose correlations with the above three historical behavior trajectories are 100% are set M, where M=(a, b).

What needs to be explained here is that there are many commodities that may be involved in the A shelf and the B shelf. Here are only two commodities a and b are given schematically. In actual implementation, they may not be limited to two commodities, but also can be more than one commodity. A commodity, or according to the actual situation, a commodity can also be. For example, according to other information of the consumer, age, gender and other information, among the commodities commonly involved in the A shelf and the B shelf, the commodity that is more likely to be purchased by the user is selected to form the first commodity set. Of course, there is also a condition that the commodities in the first commodity set are commodities that are being discounted. From this point of view, even if there are many commodities in container A and container B, if the merchants do activities and have preferential conditions, there may not be many commodities in the first commodity set.

The "first threshold" in this step will be described below. This "first threshold" is a parameter describing the degree of relevance of multiple historical behavior trajectories to related commodities. The above embodiment selects commodities whose correlation degree is 100% with the above three historical behavior trajectories. In actual implementation, the correlation degree can also be selected to exceed a certain threshold, for example, more than 60%.

Referring to FIG. 2 , rack A and rack C are racks that both track 1 and track 2 pass through, and commodity m and commodity n of rack A and rack C are more than 60% related to the above three historical behavior trajectories. Therefore, if the first threshold is set to 60%, the commodities that are more than 60% related to the above three historical behavior trajectories are set M, where M=(a, b, m, n).

S1203. Select one or more commodities from the first commodity set, and generate the corresponding first information.

When actually pushing the first information as the associated information, it may be based on all the commodities in the first commodity set, or may be based on some commodities. If the commodity corresponding to the other first information is a set P, then P is a subset of M.

After the set P is determined, the related electronic information, that is, the first information, is generated based on P.

S130: Send the associated information for consumers to choose.

For example, when the customer enters a shopping place, first send a coupon including product a and product b

In this step, the first information, which is associated information, is sent to the consumer terminal of the consumer. As described in step S110, the consumer terminal may be a consumer's mobile phone terminal, a device set on a shopping cart, or other electronic devices. The present invention does not limit this.

It should be noted that the first information in this embodiment is not static, and may be updated regularly. For example, every time a customer completes a shopping, the behavior track of this shopping will be added to the historical behavior track, which is used to generate a new first product set. The first commodity set may be updated after each shopping is completed, or may be updated uniformly after multiple shopping is completed, for example, the time limit is one month or one quarter.

In this embodiment, when a customer visits a shopping venue, the store senses customer to customer and creates an interaction between the customer and the store. By analyzing the customer's shopping history behavior track, associated information (eg, related coupons) associated with the historical behavior track is generated and sent to the customer, such as the customer's portable terminal, or the consumer terminal on the shopping cart.

Through the above, related information such as electronic coupons specially provided for a specific customer is sent to the customer, and the purchase is promoted by means of technology.

Certainly, in one embodiment, the pushed coupon information may not only be the products (popular products) that exceed the high threshold route, but also may be the promotion information of the products (unpopular products) of the low threshold route. The customer sees the promotion information reaching the terminal and makes a purchase.

FIG. 3 is a schematic diagram of a historical behavior track of a current consumer in a method for distributing associated information provided by another embodiment of the present invention.

Analyze Figure 3 to get the path and associated shelf analysis table:

Table 1: Path and associated shelf analysis table

It can be seen from Table 1 that for a certain customer, in the five historical paths from A1 to D4, the path C2 to C3 has passed through four times, that is to say, the right side of shelf E and the left side of shelf F are the same as the above The five historical behavior trajectories are 80% correlated. Therefore, if the first threshold is set to 80%, the commodities related to the above five historical behavior trajectories are related commodities on the right side of shelf E and the left side of shelf F. As described above, in this embodiment, among the many commodities on the right side of the shelf E and the left side of the shelf F, the preferential information of the commodities is pushed to the customer. Preferably, the selection of commodities may specifically push coupons for which commodities according to other relevant information of the customer.

Referring to FIG. 4 , FIG. 4 is a flowchart of steps of another method for issuing association information provided by an embodiment of the present invention.

In this embodiment, as in the previous embodiment, not only can the related information of products with a high degree of correlation be determined according to the customer's own historical behavior track, and the promotion can be pushed, but also the history of a certain number of other customers can be realized. Behavior track, determine the popular products on this track, and also push relevant information, that is to say, analyze the historical track of a large number of customers in the store, and determine the relevant products (popular products) that a large number of customers must take a good path, And based on these products, related information (for example, coupons) is produced, and the related coupon information is sent to the current customers, so as to effectively promote the purchase.

The flowchart of the steps of another method for distributing associated information in this embodiment includes the following steps:

S410, receiving the identity information of the consumer.

As mentioned above, the consumer identity information can be obtained by the following methods: after the customer enters the shopping mall, he receives a shopping cart, and a consumer terminal is installed on the shopping cart, which has a camera, which can carry out the operation of the shopping cart for the consumer. Taking pictures and taking pictures, and sending the pictures obtained by taking pictures to the server of the shopping place as identity information. It is also possible to perform customer identification without the help of the consumer terminal of the shopping cart. A camera is installed at the entrance of the shopping mall or supermarket, and the customer information is obtained through the camera and uploaded to the server of the shopping place.

This embodiment is applicable to customers whose identity has been registered in a specific shopping place, for example, a face image has been uploaded when registering member information.

Of course, the identity information in the present invention may not be limited to the face image, and may also be based on the identity information manually input by the customer, such as phone number, registered account, nickname and so on. The present invention does not limit this.

S420, based on the identity information of the consumer, determine the associated information corresponding to the consumer.

The server receives the picture information of the consumer, compares the consumer information in the database, confirms the specific consumer, and then finds the associated information corresponding to the specific consumer. The associated information here may be a coupon for a product.

In one embodiment, the associated information includes first information and second information, and the first information and the second information are obtained in advance in the following manners, respectively.

Among them, the acquisition of the first information:

S4201A, searching for multiple historical behavior trajectories of the current consumer in a given area.

S4202A: Count the first commodity sets whose correlations with multiple historical behavior trajectories exceed a given first threshold.

S4203A, select one or more commodities from the first commodity set, and generate corresponding first information.

For the above three steps S4201A, S4202A and S4203A, reference may be made to S1201, S1202 and S1203, which will not be repeated here.

The acquisition of the second information refers to S4201B, S4202B, and S4203B in FIG. 4 , which will be described in detail below.

S4201B, count the historical behavior trajectories of a given number of different consumers in a given area.

This step will be described with reference to FIG. 5 . Figure 5 makes statistics on the historical behavior trajectories of five customers. They are p1, p2, p3, p4 and p5, respectively, to obtain multiple customer paths and associated shelf analysis tables:

Table 2: Analysis of multiple customer paths and associated shelves

S4202B: Count the second commodity sets whose correlations with the above-mentioned multiple historical behavior trajectories exceed a given second threshold.

Specifically, it includes two steps:

Step 1): a second threshold is given;

Step 2), in each path in a given area, determine the path whose number of trajectories repeated by different customers exceeds a given threshold;

Step 3), clarify the path that the current user travels through this shopping, compare the path with the path determined in step 2), and determine the difference path;

Step 4), determine the associated shelf of the difference path;

In step 5), the commodity set corresponding to the associated shelf in step 4) is determined, and the relevant commodity is selected as the second commodity set.

For example, according to the above table, the collection of commodities whose correlation degree exceeds 60% in the historical behavior trajectories of five customers is counted. The number of times of passing through each of the above-mentioned paths is not less than 3 times, so the commodities on the above-mentioned shelves can selectively enter the second commodity set.

However, in addition to the threshold range of the above-mentioned relevancy, it is also necessary to check whether the user has passed through the above-mentioned path this time, and if so, the products of this path may not be pushed. If it does not pass, you can consider pushing the products of this path.

For example, as can be seen from Table 2, in the second product set, only the products on "shelf A" need to be pushed. may not be involved. This is because the customer has already traveled this route and may not really have the item they need.

S4203B, select one or more commodities from the second commodity set, and generate corresponding second information.

S430: Send the associated information, that is, both the first information and the second information, for the consumer to choose.

For example, when the customer enters a shopping place, a coupon that includes both the first information and the second information is sent first. Of course, if it is possible to determine which products the customer bought through the shopping terminal, it is also possible to push the product coupons in a targeted manner according to the user's purchase situation and the products involved in the first information and the second information to supplement the customer's purchase this time. shopping list.

It should be noted that the first information and the second information in this embodiment are not static, and may be updated regularly. For example, every time a customer completes a shopping, the behavior track of this shopping will be added to the historical behavior track, which is used to generate a new first product set. The first commodity set may be updated after each shopping is completed, or may be updated uniformly after multiple shopping is completed, for example, the time limit is one month or one quarter. The same is true for the generation of the second commodity information, and a time limit is set to update the same, half a month, a month, or a quarter. The customers to be counted can be all customers, or a part of them can be selected.

It can be seen from the above embodiment that in this embodiment, according to the historical track of the big data customer in the store, the promotion information of the products on both sides of the path that satisfies a certain popularity is produced, and combined with the historical track of the customer, it is finally determined that a certain logic is satisfied. The customer related information of the path, that is, the customer related information. The associated information is sent to the customer from the service server of the store, for example, sent to the customer's own user terminal, which may also be a shopping terminal on a shopping cart, which is not limited in the present invention.

Referring to FIG. 6, FIG. 6 is a structural block diagram of an embodiment of an apparatus for distributing associated information according to the present invention. The apparatus for distributing associated information in this embodiment includes:

The receiving module 61 is used for receiving the identity information of the consumer.

When a customer comes to the store, registration is performed using a self-service terminal installed in the store, or a mobile terminal that the customer has.

In one embodiment, the consumer identity information can be obtained in the following manner: after the customer enters the shopping mall, he receives a shopping cart, and a consumer terminal is installed on the shopping cart, which has a camera and can consume the shopping cart by hand. The user takes pictures and takes pictures, and sends the pictures obtained by taking pictures to the server of the shopping place as identity information.

In another embodiment, customer identification can also be performed without the use of the consumer terminal of the shopping cart. A camera is provided at the entrance of the shopping mall or supermarket, and customer information is obtained through the camera and uploaded to the server of the shopping place.

It should be noted that this solution is applicable to customers whose identity has been registered in a specific shopping place, for example, a face image has been uploaded when registering member information.

Of course, the identity information in the present invention may not be limited to the face image, and may also be based on the identity information manually input by the customer, such as phone number, registered account, nickname and so on. The present invention does not limit this.

The association information determination module 62 is configured to determine the association information corresponding to the consumer based on the identity information of the consumer.

The server receives the picture information of the consumer, compares the consumer information in the database, confirms the specific consumer, and then finds the associated information corresponding to the specific consumer. The associated information here may be a coupon for a product.

In one embodiment, the associated information includes first information, and the first information in the associated information determination module 62 is obtained in advance by the following units:

The first statistical unit 621 is used to search for multiple historical behavior trajectories of the current consumer in a given area.

Referring again to FIG. 2 , FIG. 2 is a historical behavior track of the current consumer in one embodiment. It can be seen that there are three historical behavior trajectories 1, 2 and 3 for current consumers. These three trajectories have a common entrance and exit. From the behavior trajectories in Figure 2, it can be seen that the three behavior trajectories all pass through shelf A and shelf B.

In one embodiment, the consumer's historical behavioral trajectory is determined by an indoor positioning system.

The indoor positioning system includes: signal transmitting source (positioning label), signal receiving terminal (positioning base station); data transmission part and data processing part (server and personnel positioning management software). During the specific implementation, the positioning base station is installed in the shopping space to be positioned, and the specific installation quantity and installation location and installation height need to be determined according to the actual site space. The data of all base stations is aggregated to the server, and the customer's trolley is equipped with a signal emission source (location tag), so that the customer's location can be located, and then, according to the dynamic position change of the customer, the behavior track is generated.

The second statistical unit 622 is configured to count the first commodity set whose correlations with multiple historical behavior trajectories exceed a given first threshold.

Continuing to refer to FIG. 2 , as shown in the figure, the shelf A includes commodity a, and the shelf B includes commodity b. The three historical behavior trajectories in the figure all pass through commodity a on shelf A and commodity b on shelf B.

In one embodiment, the commodities whose correlations with the above three historical behavior trajectories are 100% are set M, where M=(a, b).

What needs to be explained here is that there are many commodities that may be involved in the A shelf and the B shelf. Here are only two commodities a and b are given schematically. In actual implementation, they may not be limited to two commodities, but also can be more than one commodity. A commodity, or according to the actual situation, a commodity can also be. For example, according to other information of the consumer, age, gender and other information, among the commodities commonly involved in the A shelf and the B shelf, the commodity that is more likely to be purchased by the user is selected to form the first commodity set. Of course, there is also a condition that the commodities in the first commodity set are commodities that are being discounted. From this point of view, even if there are many commodities in container A and container B, if the merchants do activities and have preferential conditions, there may not be many commodities in the first commodity set.

The "first threshold" in this step will be described below. This "first threshold" is a parameter describing the degree of relevance of multiple historical behavior trajectories to related commodities. The above embodiment selects commodities whose correlation degree is 100% with the above three historical behavior trajectories. In actual implementation, the correlation degree can also be selected to exceed a certain threshold, for example, more than 60%.

Referring to FIG. 2 , rack A and rack C are racks that both track 1 and track 2 pass through, and commodity m and commodity n of rack A and rack C are more than 60% related to the above three historical behavior trajectories. Therefore, if the first threshold is set to 60%, the commodities that are more than 60% related to the above three historical behavior trajectories are set M, where M=(a, b, m, n).

The first generating unit 623 is configured to select one or more commodities from the first commodity set, and generate corresponding first information.

When actually pushing the first information as the associated information, it may be based on all the commodities in the first commodity set, or may be based on some commodities. If the commodity corresponding to the other first information is a set P, then P is a subset of M.

After the set P is determined, the related electronic information, that is, the first information, is generated based on P.

The sending module 63 is used for sending the associated information for consumers to choose.

For example, when the customer enters a shopping place, first send a coupon including product a and product b

In this step, the first information, which is associated information, is sent to the consumer terminal of the consumer. As described in step S110, the consumer terminal may be a consumer's mobile phone terminal, a device set on a shopping cart, or other electronic devices. The present invention does not limit this.

It should be noted that the first information in this embodiment is not static, and may be updated regularly. For example, every time a customer completes a shopping, the behavior track of this shopping will be added to the historical behavior track, which is used to generate a new first product set. The first commodity set may be updated after each shopping is completed, or may be updated uniformly after multiple shopping is completed, for example, the time limit is one month or one quarter.

In this embodiment, when a customer visits a shopping venue, the store senses customer to customer and creates an interaction between the customer and the store. By analyzing the customer's shopping history behavior track, associated information (eg, related coupons) associated with the historical behavior track is generated and sent to the customer, such as the customer's portable terminal, or the consumer terminal on the shopping cart.

Through the above, related information such as electronic coupons specially provided for a specific customer is sent to the customer, and the purchase is promoted by means of technology.

Certainly, in one embodiment, the pushed coupon information may not only be the products (popular products) that exceed the high threshold route, but also may be the promotion information of the products (unpopular products) of the low threshold route. The customer sees the promotion information reaching the terminal and makes a purchase.

Referring to FIG. 7, FIG. 7 is a structural block diagram of another associated information distribution apparatus provided by an embodiment of the present invention, including:

The receiving module 71 is used for receiving the identity information of the consumer.

an association information determination module 72, configured to determine the association information corresponding to the consumer based on the identity information of the consumer;

A sending module 73, configured to send the associated information for consumers to choose; wherein

The association information includes first information, and the first information in the association information determination module 72 is obtained in advance by the following units:

The first statistical unit 721A is used to search for multiple historical behavior trajectories of the current consumer in a given area;

a second statistical unit 722A, configured to count the first commodity sets whose correlations with the multiple historical behavior trajectories exceed a given first threshold;

The first generating unit 723A is configured to select one or more commodities from the first commodity set, and generate the corresponding first information.

In addition, the association information further includes second information, and the second information in the association information determination module is obtained in advance by the following units:

The third statistical unit 721B is used to count the historical behavior trajectories of a given number of consumers in the given area;

a fourth statistical unit 722B, configured to count second commodity sets whose correlations with a plurality of the historical behavior trajectories exceed a given second threshold;

The second generating unit 723B is configured to select one or more commodities from the second commodity set, and generate the corresponding second information.

It should be noted that the working principle of the embodiment of the apparatus for distributing associated information is similar to that of the corresponding method embodiment described above, which is not repeated in the present invention, and may refer to the foregoing description for relevant parts.

8 shows a schematic structural diagram of an electronic device 80 provided by an embodiment of the present invention. The electronic device 80 includes at least one processor 801 (for example, a CPU), at least one input and output interface 804, a memory 802, and at least one communication bus 803. To realize the connection communication between these components. The at least one processor 801 is configured to execute computer instructions stored in the memory 802, so that the at least one processor 801 can execute any one of the foregoing embodiments of the table splitting method. The memory 802 is a non-transitory memory, which may include volatile memory, such as high-speed random access memory (RAM: Random Access Memory), or may include non-volatile memory (non-volatile memory), For example at least one disk storage. A communication connection with at least one other device or unit is achieved through at least one input-output interface 804 (which may be a wired or wireless communication interface).

In some embodiments, the memory 802 stores a program 8021, and the processor 801 executes the program 8021 for executing the content in any of the foregoing method embodiments for table partitioning.

The electronic device can exist in a variety of forms, including but not limited to:

(1) Mobile communication equipment: This type of equipment is characterized by having mobile communication functions, and its main goal is to provide voice and data communication. Such terminals include: smart phones (eg iPhone), multimedia phones, functional phones, and low-end phones.

(2) Ultra-mobile personal computer equipment: This type of equipment belongs to the category of personal computers, has computing and processing functions, and generally has the characteristics of mobile Internet access. Such terminals include: PDAs, MIDs, and UMPC devices, such as iPads.

(3) Portable entertainment equipment: This type of equipment can display and play multimedia content. Such devices include: audio and video players (eg iPod), handheld game consoles, e-books, as well as smart toys and portable car navigation devices.

(4) Specific server: a device that provides computing services. The composition of the server includes a processor, hard disk, memory, system bus, etc. The server is similar to a general computer architecture, but due to the need to provide highly reliable services The requirements are high in terms of reliability, security, scalability, and manageability.

(5) Other electronic devices with data interaction function.

In another aspect, the present invention also provides a system for distributing associated information, including: an indoor positioning device, a server, and a consumer terminal; the indoor positioning device is used to identify the behavior track of consumers in a given area; The consumer terminal is used to identify the consumer identity information, and upload the consumer identity information to the server; the server is used to determine the associated information corresponding to the consumer according to the consumer identity information, and upload the consumer identity information to the server. The associated information is sent for consumer selection.

Wherein, the associated information includes first information and/or second information, and the first information is obtained in advance in the following manner:

Counting the multiple historical behavior trajectories of the current consumer in a given area sent by the indoor positioning device; Counting the first commodity sets whose correlations with the multiple historical behavior trajectories exceed a given first threshold; One or more commodities are selected from a commodity set, and the corresponding first information is generated.

The second information is determined by: counting the historical behavior trajectories of a given number of different consumers in the given area; counting the second information whose correlation degree with a plurality of the historical behavior trajectories exceeds a given second threshold; Commodity set; select one or more commodities from the second commodity set to generate the corresponding second information; and the consumer terminal is further configured to receive the associated information.

The working principle of the embodiment of the associated information distribution system is similar to that of the corresponding method embodiment described above, and the foregoing descriptions may be referred to each other for the relevant parts.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

Each embodiment in this specification is described in a related manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments.

In particular, for the apparatus embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for related parts.

The logic and/or steps represented in flowcharts or otherwise described herein, for example, may be considered an ordered listing of executable instructions for implementing the logical functions, may be embodied in any computer-readable medium, For use with, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch instructions from and execute instructions from an instruction execution system, apparatus, or apparatus) or equipment. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or apparatus. More specific examples (non-exhaustive list) of computer readable media include the following: electrical connections with one or more wiring (electronic devices), portable computer disk cartridges (magnetic devices), random access memory (RAM), Read Only Memory (ROM), Erasable Editable Read Only Memory (EPROM or Flash Memory), Fiber Optic Devices, and Portable Compact Disc Read Only Memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program may be printed, as the paper or other medium may be optically scanned, for example, followed by editing, interpretation, or other suitable medium as necessary process to obtain the program electronically and then store it in computer memory.

It should be understood that various parts of the present invention may be implemented in hardware, software, firmware or a combination thereof.

In the above-described embodiments, various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or a combination of the following techniques known in the art: Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, Programmable Gate Arrays (PGA), Field Programmable Gate Arrays (FPGA), etc.

The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical scope disclosed by the present invention can easily think of changes or substitutions. All should be included within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims (10)

1. A method for issuing associated information is characterized by comprising the following steps:

receiving identity information of a consumer;

determining relevant information corresponding to a consumer based on identity information of the consumer;

sending the associated information for selection by a consumer; wherein

The associated information includes first information, and the first information is obtained in advance by:

searching a plurality of historical behavior tracks of a current consumer in a given area;

counting a first commodity set with a plurality of historical behavior tracks with correlation degrees exceeding a given first threshold;

and selecting one or more commodities from the first commodity set to generate corresponding first information.

2. The association information issuing method according to claim 1,

the associated information further includes second information, and the second information is determined by:

counting historical behavior tracks of a given number of different consumers in the given area;

counting a second commodity set with the relevance degree of a plurality of historical behavior tracks exceeding a given second threshold value;

and selecting one or more commodities from the second commodity set to generate corresponding second information.

3. The association information issuing method according to claim 2,

the historical behavioral profile of the consumer is determined by an indoor positioning system.

4. The association information issuing method according to any one of claims 1 to 3,

the associated information is a commodity coupon.

5. The association information issuing method according to claim 4,

the first information and the second information are updated periodically.

6. An association information issuing apparatus characterized by comprising:

the receiving module is used for receiving the identity information of the consumer;

the system comprises a correlation information determining module, a correlation information determining module and a correlation information determining module, wherein the correlation information determining module is used for determining correlation information corresponding to a consumer based on identity information of the consumer;

the sending module is used for sending the associated information for the consumers to select; wherein

The associated information comprises first information, and the first information in the associated information determining module is obtained in advance through the following units:

the first statistical unit is used for searching a plurality of historical behavior tracks of current consumers in a given area;

the second statistical unit is used for counting a first commodity set with the relevance degree exceeding a given first threshold value with a plurality of historical behavior tracks;

and the first generating unit is used for selecting one or more commodities from the first commodity set and generating the corresponding first information.

7. The association information issuing apparatus according to claim 6,

the associated information further comprises second information, and the second information in the associated information determining module is obtained in advance through the following units:

a third statistical unit, configured to count historical behavior tracks of a given number of consumers in the given area;

a fourth counting unit, configured to count a second commodity set with a degree of correlation with a plurality of historical behavior tracks exceeding a given second threshold;

and the second generating unit is used for selecting one or more commodities from the second commodity set and generating corresponding second information.

8. The association information issuing apparatus according to claim 7,

the historical behavioral profile of the consumer is determined by an indoor positioning system.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the association information issuance method according to any one of claims 1-4.

10. An association information issuing system characterized by comprising:

indoor positioning equipment, a server and a consumer terminal;

the indoor positioning equipment is used for identifying the behavior track of a consumer in a given area;

the consumer terminal is used for identifying consumer identity information and uploading the consumer identity information to the server;

the server is used for determining the associated information corresponding to the consumer according to the identity information of the consumer and sending the associated information for the consumer to select; wherein

The associated information comprises first information and/or second information, and the first information is obtained in advance in the following mode:

counting a plurality of historical behavior tracks of a current consumer in a given area, which are sent by the indoor positioning equipment;

counting a first commodity set with a plurality of historical behavior tracks with correlation degrees exceeding a given first threshold;

selecting one or more commodities from the first commodity set to generate corresponding first information;

the second information is determined by:

counting historical behavior tracks of a given number of different consumers in the given area;

counting a second commodity set with the relevance degree of a plurality of historical behavior tracks exceeding a given second threshold value;

selecting one or more commodities from the second commodity set to generate corresponding second information;

and the consumer terminal is further configured to receive the association information.