CN113222673A - Preference recommendation method and system based on AR - Google Patents
Preference recommendation method and system based on AR Download PDFInfo
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- CN113222673A CN113222673A CN202110599797.1A CN202110599797A CN113222673A CN 113222673 A CN113222673 A CN 113222673A CN 202110599797 A CN202110599797 A CN 202110599797A CN 113222673 A CN113222673 A CN 113222673A
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- 238000011156 evaluation Methods 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 4
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Abstract
The invention discloses a preference recommendation method and system based on AR, relating to the technical field of augmented reality, wherein the method comprises the following steps: a client acquires a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end; the bank terminal inquires all the discount activities which are carried out by the bank within a preset distance of the current position according to the current position data and sends all the discount activity information to the client terminal; the client receives one item of preferential activity information selected by a user from all the preferential activity information; and displaying the preferential activity information selected by the user by utilizing the augmented reality AR technology, and performing live-action navigation through LBS. The invention can efficiently and conveniently recommend the preferential activity to the user, improves the participation degree of the user to the preferential activity and simultaneously improves the experience of the user.
Description
Technical Field
The invention relates to the technical field of augmented reality, in particular to a preference recommendation method and system based on AR.
Background
This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.
Each bank often uses a mobile phone bank to do activities in order to acquire that a customer often uses the mobile phone bank, the current bank generally has the effects of holding shopping full and reducing, issuing voucher, discounting daily for a subject line, doing activities by a united merchant and the like, and the method is not active enough for the customer, low in participation degree of the customer, low in efficiency, poor in user experience, and finally causes the bank to spend much time and money, but poor in popularization effect.
Disclosure of Invention
The embodiment of the invention provides an AR-based preferential activity recommendation method, which is used for efficiently and conveniently recommending preferential activities to a user and comprises the following steps:
a client acquires a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end;
the bank terminal inquires all the discount activities which are carried out by the bank within a preset distance of the current position according to the current position data and sends all the discount activity information to the client terminal;
the client receives one item of preferential activity information selected by a user from all the preferential activity information; and displaying the preferential activity information selected by the user by utilizing the augmented reality AR technology, and performing live-action navigation through LBS.
The embodiment of the invention also provides an AR-based preferential activity recommendation system, which is used for efficiently and conveniently recommending preferential activities to users and comprises the following steps:
the client is used for acquiring a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end; receiving one item of preferential activity information selected by a user from all the preferential activity information; using augmented reality AR technology to display preferential activity information selected by a user, and performing live-action navigation through LBS;
and the bank terminal is used for inquiring all the discount activities which are carried out by the bank within the preset distance of the current position according to the current position data and sending all the discount activity information to the client terminal.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the method for recommending the preference activities based on the AR when executing the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the above AR-based offer recommendation method is stored in the computer-readable storage medium.
In the embodiment of the invention, the preferential activity recommendation scheme based on the AR comprises the following steps: a client acquires a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end; the bank terminal inquires all the discount activities which are carried out by the bank within a preset distance of the current position according to the current position data and sends all the discount activity information to the client terminal; the client receives one item of preferential activity information selected by a user from all the preferential activity information; the method has the advantages that the benefit information selected by the user is displayed by utilizing the augmented reality AR technology, the live-action navigation is carried out through the LBS, the benefit can be efficiently and conveniently recommended for the user, the participation degree of the user in the benefit is improved, and meanwhile the experience of the user is also improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flowchart illustrating an AR-based preference recommendation method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an AR-based offer recommendation method according to another embodiment of the present invention;
FIG. 3 is a flowchart illustrating an AR-based offer recommendation method according to another embodiment of the present invention;
FIG. 4 is a flowchart illustrating an AR-based offer recommendation method according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an AR-based offer recommendation system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
Before describing embodiments of the present invention, terms related to the embodiments of the present invention will be described.
1. AR: AR (augmented reality) augmented reality transmits virtual information to the real world through a computer technology, then the virtual information and the virtual information exist in the same picture or space simultaneously after being superposed, and then a user in the real world can perform three-dimensional real-time interaction with virtual and real scenes in a natural mode through the coordination of hardware and software.
2. LBS: the geographic location service provides location data using sensors such as a GPS and an electronic compass embedded in a smart device such as a mobile phone.
Fig. 1 is a schematic flowchart of an AR-based preference recommendation method in an embodiment of the present invention, and as shown in fig. 1, the method includes the following steps:
step 101: a client acquires a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end;
step 102: the bank terminal inquires all the discount activities which are carried out by the bank within a preset distance of the current position according to the current position data and sends all the discount activity information to the client terminal;
step 103: the client receives one item of preferential activity information selected by a user from all the preferential activity information; and displaying the preferential activity information selected by the user by utilizing the augmented reality AR technology, and performing live-action navigation through LBS.
The method for recommending the discount activities based on the AR provided by the embodiment of the invention can efficiently and conveniently recommend the discount activities to the user, improves the participation degree of the user in the discount activities, and simultaneously improves the user experience. The individual steps involved in the method are described in detail below.
First, the above step 101 is described.
In one embodiment, as shown in step 1011 of fig. 2, the client acquiring the current scene image may include: the client collects current street and mall images.
In specific implementation, when a customer (user) wants to go shopping, dining and the like, a mobile phone bank (client) is opened, a camera of the mobile phone bank is started to take a picture of a street and a shopping mall, and the current street and mall images are obtained.
In an embodiment, as shown in step 1012 of fig. 3, the method for recommending AR-based offers may further include: preprocessing the current position data to obtain preprocessed current position data; and sending the preprocessed current position data to a bank end.
During specific implementation, the current position data is preprocessed to obtain the preprocessed current position data, and then, the preferential activities can be recommended to the user more quickly and accurately.
In one embodiment, the preprocessing the current position data to obtain the preprocessed current position data includes: and filtering and integrating the current position data to obtain the filtered and integrated current position data.
In specific implementation, after repeated data is filtered and the like, the filtering and integration can be performed to obtain accurate and concise position data, so that the accuracy and efficiency of subsequent recommendation are further improved.
In specific implementation, after the current street and market images are collected, the mobile banking (client) acquires the position data of the client through the LBS, the mobile banking reads, filters and integrates the position data, and the mobile banking transmits the position data to a banking back-end system (bank end).
Secondly, the above step 102 is introduced.
In specific implementation, after receiving the information (position data), a bank back-end system (bank end) inquires discount activities which are carried out by the bank and merchants (which can be an activity merchant list) which cooperate with the bank nearby the position (within a preset distance of the current position), can display information such as names, brief introduction, evaluation and discount money amounts of the merchants, and sorts the discount money amounts from large to small when returning, so that convenience is improved, and users can be accurately and efficiently helped to find out discount activity information.
As can be seen from the above, in an embodiment, the method for recommending an AR-based offer further includes: and the bank terminal sorts all the preferential activity information according to the preferential amount from large to small and then sends the preferential activity information to the client terminal.
In specific implementation, all the preferential activity information is sorted according to the preferential amount from large to small and then sent to the client, so that the method is more convenient and further improves the user experience.
Third, next, the above step 103 is described.
In an embodiment, as shown in step 1031 in fig. 4, the displaying of the user-selected coupon information by using the augmented reality AR technology may include: and displaying the name, the brief introduction, the evaluation information and the preferential amount information of the bank cooperative merchant by utilizing the augmented reality AR technology.
In specific implementation, the client can display the name, the brief introduction, the evaluation, the preferential amount and other information of the merchant by using the AR technology. After the customer selects one of the merchants according to own preference, the mobile banking performs live navigation on the customer through the LBS to guide the customer to go to the store for consumption. By the mode, more users can participate in marketing activities made by the bank, the participation degree of the customers is greatly increased, and the viscosity and the user experience of the users are improved.
To sum up, the embodiment of the present invention provides a method for recommending preferential activities based on AR: when a customer wants to do shopping and eating, a mobile phone bank (client) is opened, a mobile phone bank camera is started to take a picture of a street and a shopping mall, the position data of the customer is obtained through LBS, and the position data is read, filtered and integrated and transmitted to a bank back-end system (bank end). After receiving the information, the bank back-end system inquires the preferential activities which are carried out by the bank nearby the position, and simultaneously can display the information of names, brief introduction, evaluation and the like of merchants, and after the customer selects one of the merchants, the customer can carry out live navigation through LBS (location based service) to guide the customer to go to the store for consumption. By the mode, more users can participate in marketing activities made by the bank, preferential activities are efficiently recommended to the users, participation of the users is greatly increased, and stickiness and user experience of the users are improved.
The embodiment of the invention also provides an AR-based preferential activity recommendation system, which is described in the following embodiment. Because the principle of the system for solving the problems is similar to the method for recommending the preferential activities based on the AR, the implementation of the system can refer to the implementation of the method for recommending the preferential activities based on the AR, and repeated parts are not described again.
Fig. 5 is a schematic structural diagram of an AR-based offer recommendation system in an embodiment of the present invention, and as shown in fig. 5, the system includes:
the client 01 is used for acquiring a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end; receiving one item of preferential activity information selected by a user from all the preferential activity information; using augmented reality AR technology to display preferential activity information selected by a user, and performing live-action navigation through LBS;
and the bank end 02 is used for inquiring all the discount activities which are carried out by the bank within a preset distance of the current position according to the current position data and sending all the discount activity information to the client.
In one embodiment, the client is specifically configured to capture current street and mall images.
In one embodiment, the client is further configured to pre-process the current location data to obtain pre-processed current location data; and sending the preprocessed current position data to a bank end.
In one embodiment, the client is specifically configured to filter and integrate the current location data to obtain filtered and integrated current location data.
In one embodiment, the client is specifically configured to display the name, the profile, the evaluation information, and the offer amount information of the merchant of the banking cooperation by using the augmented reality AR technology.
In one embodiment, the bank side is specifically configured to sort all the offer information according to the discount amounts from large to small, and then send the sorted offer information to the client side.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the method for recommending the preference activities based on the AR when executing the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the above AR-based offer recommendation method is stored in the computer-readable storage medium.
In the embodiment of the invention, the preferential activity recommendation scheme based on the AR comprises the following steps: a client acquires a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end; the bank terminal inquires all the discount activities which are carried out by the bank within a preset distance of the current position according to the current position data and sends all the discount activity information to the client terminal; the client receives one item of preferential activity information selected by a user from all the preferential activity information; the method has the advantages that the benefit information selected by the user is displayed by utilizing the augmented reality AR technology, the live-action navigation is carried out through the LBS, the benefit can be efficiently and conveniently recommended for the user, the participation degree of the user in the benefit is improved, and meanwhile the experience of the user is also improved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (14)
1. An AR-based preferential activity recommendation method is characterized by comprising the following steps:
a client acquires a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end;
the bank terminal inquires all the discount activities which are carried out by the bank within a preset distance of the current position according to the current position data and sends all the discount activity information to the client terminal;
the client receives one item of preferential activity information selected by a user from all the preferential activity information; and displaying the preferential activity information selected by the user by utilizing the augmented reality AR technology, and performing live-action navigation through LBS.
2. The AR-based offer recommendation method of claim 1, wherein a client collects a current scene image, comprising: the client collects current street and mall images.
3. The AR-based offer recommendation method of claim 1, further comprising: preprocessing the current position data to obtain preprocessed current position data;
sending the current position data to the bank terminal, including: and sending the preprocessed current position data to a bank end.
4. The AR-based offer recommendation method of claim 3, wherein pre-processing the current location data to obtain pre-processed current location data comprises: and filtering and integrating the current position data to obtain the filtered and integrated current position data.
5. The AR-based offer recommendation method of claim 1, wherein presenting user-selected offer information using augmented reality AR technology comprises: and displaying the name, the brief introduction, the evaluation information and the preferential amount information of the bank cooperative merchant by utilizing the augmented reality AR technology.
6. The AR-based offer recommendation method according to claim 5, wherein the bank ranks all offer information according to the offer amount from large to small, and then sends the sorted offer information to the client.
7. An AR-based offer recommendation system, comprising:
the client is used for acquiring a current scene image; determining current location data of the user through a geolocation service LBS based on the current scene image; sending the current position data to a bank end; receiving one item of preferential activity information selected by a user from all the preferential activity information; using augmented reality AR technology to display preferential activity information selected by a user, and performing live-action navigation through LBS;
and the bank terminal is used for inquiring all the discount activities which are carried out by the bank within the preset distance of the current position according to the current position data and sending all the discount activity information to the client terminal.
8. The AR-based offer recommendation system of claim 7, wherein the client is specifically configured to collect current street and mall images.
9. The AR-based offer recommendation system of claim 7, wherein the client is further configured to pre-process the current location data to obtain pre-processed current location data; and sending the preprocessed current position data to a bank end.
10. The AR-based offer recommendation system of claim 9, wherein the client is specifically configured to filter and integrate the current location data to obtain filtered and integrated current location data.
11. The AR-based offer recommendation system of claim 7, wherein the client is specifically configured to display a name, a profile, rating information and offer amount information of a merchant with bank cooperation using augmented reality AR technology.
12. The AR-based offer recommendation system according to claim 11, wherein the bank side is specifically configured to sort all offer information according to the decreasing offer amount and send the sorted offer information to the client side.
13. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 6 when executing the computer program.
14. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 6.
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| US20190279425A1 (en) * | 2016-11-30 | 2019-09-12 | Alibaba Group Holding Limited | Augmented-reality-based offline interaction method and apparatus |
| CN111737602A (en) * | 2020-06-19 | 2020-10-02 | 中国银行股份有限公司 | Bank branch information pushing method and device |
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- 2021-05-31 CN CN202110599797.1A patent/CN113222673A/en active Pending
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| US20120296724A1 (en) * | 2011-05-20 | 2012-11-22 | Walter Lo Faro | Systems and methods for recommending merchants |
| CN106572129A (en) * | 2015-10-09 | 2017-04-19 | 美的集团股份有限公司 | Bank-card preferential information pushing method and apparatus thereof |
| US20190279425A1 (en) * | 2016-11-30 | 2019-09-12 | Alibaba Group Holding Limited | Augmented-reality-based offline interaction method and apparatus |
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