TWI778335B - Information promotion method, mobile device and computer program product - Google Patents

Abstract

An information promotion method, a mobile device, and a computer program product are provided. In the method, discount information of one or more stores is obtained, user information including location information and ticker information of electronic ticket is obtained, the discount information of the stores is selected and sorted according to the location information to generate promotion information, and the promotion information is provided. The promotion information may further provide for payment operation by the electronic ticket. Accordingly, purchase behavior between the customer and the stores could be improved.

Description

Information recommendation method, mobile device and computer program product

The present invention relates to an information processing technology, and more particularly, to an information recommendation method, a mobile device and a computer program product.

Mobile payment, as the name suggests, is to allow consumers to make payment and consumption behaviors that are convenient and can be carried anywhere and anytime. Electronic ticket cards that can be used for payment are, for example, credit cards, leisure cards, one-card cards, etc., and the places that can be used are convenience supermarkets, mass merchandisers, supermarkets, department stores/shopping centers, chain restaurants, online stores, chain stores, etc. . Among them, the payment method may be near-field communication (Near-field communication, NFC) induction, QR code forward scan/reverse scan, and the like. There are hundreds of schools of thought in mobile payment today, and the services they provide are usually by binding an electronic ticket card, and then using a QR code for forward/reverse scan payment or NFC inductive payment, and may even give back bonus points given by this payment operation, such as , Line Pay, Apple Pay, Google Pay, etc. The features of mobile payment are nothing more than providing a fast checkout process, or even combining some bonus points to attract consumers to use it.

However, mobile payment is similar, and most consumers have multiple e-ticket cards at the same time, and even each store has different offers for each credit card bank or e-ticket card. For consumers, too much information is troublesome and complicated. When consumers really need to spend and go online to find deals, they are often overwhelmed.

In view of this, embodiments of the present invention provide an information recommendation method, a server and a computer program product, which can integrate and recommend appropriate discount information and allow users to easily check out.

The information recommendation method according to the embodiment of the present invention is suitable for recommending business discounts and includes the following steps: obtaining discount information of a store. Obtain user information, and the user information includes location information and ticket information of the electronic ticket card. Offers from those stores are selected and sorted based on this location information to generate recommendations. This recommendation information is provided, and the recommendation information can be used for payment by those electronic ticket cards.

The mobile device according to the embodiment of the present invention includes (but is not limited to) a communication transceiver, a positioning module, and a processor. Communication transceivers transmit or receive data. The location module obtains the location information of this mobile device. The processor is coupled to the communication transceiver and the positioning module, and is configured to perform the following steps: obtain preferential information of at least one store through the communication transceiver, obtain user information, select and sort the preferential information of those stores according to the location information to Generate recommendation information, and provide this recommendation information. User information includes location information and ticket information of the electronic ticket. Recommended information is available for those electronic ticket cards for payment operations.

The computer program product of the embodiment of the present invention can be loaded into the program through the mobile device to perform the following steps: obtaining user information and obtaining recommendation information. This user information includes location information and ticket information for at least one electronic ticket. The recommendation information is the discount information of at least one store selected and sorted according to the location information, and the recommendation information can be used for payment by those electronic ticket cards.

Based on the above, the information recommendation method, mobile device, and computer program product according to the embodiments of the present invention determine whether the user's location meets the conditions for providing recommended information, and accordingly provides preferential information of stores around the user's location, and facilitates the user to use electronic products. Checkout by card. In this way, a location-based service (LBS) can be provided, which can further facilitate the consumption behavior between consumers and businesses.

In order to make the above-mentioned features and advantages of the present invention more obvious and easy to understand, the following embodiments are given and described in detail with the accompanying drawings as follows.

FIG. 1 is a schematic diagram of a transaction system 1 according to an embodiment of the present invention. Referring to FIG. 1 , the transaction system 1 includes a computer device 10 of at least one store, a mobile device 30 of at least one user, and a service platform server 50 .

The computer device 10 may be a desktop computer, a notebook computer, a smart phone, a tablet computer or the like. The computer device 10 may include, but is not limited to, a processor (eg, a CPU, an application-specific integrated circuit (ASIC), a microprocessor, or a field-programmable logic gate array (FPGA), etc.), a memory (eg, a Random Access Memory (RAM), Read Only Memory (ROM), or Flash Memory, etc.), and communications transceivers (for example, networks that support cellular, Ethernet, or fiber optic networking technologies) card or module). In this embodiment, the computer device 10 is used by the store owner.

The mobile device 30 may be a device such as a smart phone, a tablet computer, or a smart watch. The mobile device 30 may include (but is not limited to) a processor (eg, CPU, ASIC, microprocessor, or FPGA, etc.), storage (eg, RAM, ROM, or flash memory, etc.), a communication transceiver (eg, , network cards or modules that support technologies such as mobile communications, Ethernet, or fiber optic networks) and positioning modules (for example, supporting satellite positioning systems, base station positioning, indoor positioning, or other positioning technologies). In this embodiment, the mobile device 30 is used by the user. It should be noted that the mobile device 30 is further loaded with a mobile payment application (APP), which includes a promotion information recommendation (software) module, and its function will be described in detail in the following embodiments. Hereinafter, the operation of the mobile device 30 will be dominated by the processor.

The service platform server 50 may be a desktop computer, various types of servers (eg, a cloud server, a database server, or an application server, etc.), or a workstation. The service platform server 50 may include (but is not limited to) a processor (eg, CPU, ASIC, microprocessor, or FPGA, etc.), storage (eg, RAM, ROM, or flash memory, etc.), and communication transceivers device (for example, a network card or module that supports technologies such as cellular, Ethernet, or fiber-optic networking).

In order to facilitate the understanding of the operation process of the present invention, a number of embodiments will be given below for detailed description. Hereinafter, the method according to the embodiment of the present invention will be described with reference to each device, element and module in the transaction system 1 of FIG. 1 . Each process of the method can be adjusted according to the implementation situation, and is not limited to this.

FIG. 2 is a flowchart of an information recommendation method according to an embodiment of the present invention. Referring to FIG. 2 , the processor of the mobile device 30 obtains the discount information of at least one store through its communication transceiver (step S210 ). Specifically, the store is responsible for maintaining and listing the discount information (ie, uploading the discount information to the service platform server 50 ), and listing the discount information according to the interface standard or format established by the service platform server 50 . In one embodiment, the preferential information is based on "one data per storefront". For example, Carrefour has branches in Songshan, Nangang, Beitou, etc. Due to the different geographical location and size of each branch, even if their cooperative electronic ticket cards and purchase discounts are the same, but the geographical location is different, in order to enable the system to provide services normally, it is still in accordance with the "one store, one data". On the shelf in principle. Table (1) is an example of the format for recording discount information: Table (1) shop branch Geographical location ticket card Offers Validity period Carrefour Songshan Store 25.0619 121.5632 CITIC Platinum Card 5% off over 1000 dozen From 2020/01/03 to 2020/03/01 Carrefour Nangang Store 25.05432 121.5966 CITIC Platinum Card buy 3 get 1 toilet paper From 2020/02/01 to 2020/02/29

On the other hand, the service platform server 50 builds a service platform, and may define various data structures and/or various programming interfaces, and provide operations such as databases and/or real-time services for the store to offer discounts through the computer equipment 10 On the shelves and the user conducts data query through the mobile device 30 (for example, querying the priority information of a specific store or a specific electronic ticket card, etc.). The definition of the data structure is mainly to define the data fields of the discount information, as shown in Table (1), the recommended necessary fields (for example, store name, geographic location, applicable electronic ticket card, discount content details, expiration date, etc., but not This is the limit), and fields such as the radius of the store or the range of preferential offers can be further added to assist the mobile device 50 in judging the store stay (to be described in detail in subsequent embodiments).

Then, the mobile payment application of the mobile device 30 can download the computer from the service platform server 50 periodically or in response to a specific trigger action (eg, receiving an information update notification from the service platform server 50 , booting up, connecting to the Internet, etc.) Promotion information uploaded by the device 10 . These offers may be organized in the specific data structures or formats described above. In some embodiments, the service platform server 50 may also actively push notification or broadcast preferential information to the mobile device 30 . It should be noted that the mobile device 30 may first download simple information for subsequent comparison (for example, the geographic location of the store, the scope of offer, or the validity period, etc.), and download more detailed offers after the comparison matches. News. Alternatively, the mobile device 30 can also directly download detailed discount information.

In addition, FIG. 3 is an example illustrating the scope of the offer. Please refer to FIG. 3, for the geographic location (such as the latitude and longitude coordinates in Table (1)) corresponding to the merchant or its preferential information, the location of the store (for example, the center of the store, the center of gravity, or any location within its range) As the center of the circle, and set the corresponding offer range. For example, the first store is a preferential offer range R1 formed by a radius r1, and the second store is a preferential offer range R2 formed by a radius r2. The size of the radius and the shape and size of the offer range may be set by the store itself, but may also be set uniformly on the service platform server 50 .

It should be noted that the contents in Table (1) and FIG. 3 are only used for illustration, and are not used to limit the embodiments of the present invention. The offer range in Figure 3 is exemplified by a circle, but it could also be a quadrilateral or other geometric shapes. In addition, in other embodiments, a storefront may also have multiple pieces of information on the shelves.

The processor of the mobile device 30 obtains user information of at least one user (step S230). Specifically, the user information includes (but is not limited to) the user's location information, and at least one electronic ticket card (eg, electronic wallet, mobile bill payment account, transfer payment account, online payment account, credit card, debit card, or membership card, etc.) ticket information (for example, name, type, expiration date, authentication information, and/or payment method, etc.). The mobile payment application of the mobile device 30 obtains the user's location information (eg, latitude and longitude coordinates, or the relative position of a specific reference landmark, etc.) through the positioning module, as well as the electronic ticket card and ticket card information set by the user. In some embodiments, each piece of location information may include a timestamp to confirm the movement track of the mobile device 30 .

Next, the processor of the mobile device 30 selects and sorts the discount information of one or more stores according to the location information of the user to generate recommendation information for a specific user (step S250 ). Specifically, the mobile payment application of the mobile device 30 can compare the user's location (based on the location information), stay time, and/or ticket information with the discount information, and determine whether to provide the matching discount information. to the user. That is, take the initiative to provide appropriate preferential information.

Regarding the filtering and sorting of information, in one embodiment, the mobile device 30 can set the preferential offer range of each store, determine the distance relationship between the location information and the preferential offer range of these stores, and determine the distance relationship according to the corresponding distance relationship of these stores. Select and sort offers from those stores. For the scope of preferential offering, reference may be made to the foregoing description with respect to FIG. 3 , which will not be repeated here. The mobile device 30 can download these preferential offer ranges from the service platform server 50 or preset the offer offer ranges by itself. The distance relationship may be the distance between the position corresponding to the position information and the center, center of gravity, the nearest contour, or any of the positions in the offer range. In some embodiments, the distance relationship may consider obstacles around the user's location (eg, obstacles such as walls, beams, columns, etc. can be obtained by downloading and comparing a floor plan), rather than a simple straight-line distance. For example, a distance relationship is the shortest path to an electronic map. Next, the mobile device 30 can select the distance relationship that the location information corresponds to the stores within the offer offering range. That is, the offer scope of the offer covers the offer information of the store where the mobile device 30 is located.

In one embodiment, the mobile device 30 may further sort the discount information of those stores according to the distances of the corresponding locations of the location information in the distance relationship from those stores. For example, the mobile device 30 sorts the stores according to the relative distance corresponding to the distance relationship, sorts the stores with the closer distances at the front, and sorts the stores with the farther distances at the back. In other embodiments, the mobile device 30 may also sort the stores randomly.

In another embodiment, the mobile device 30 can determine the electronic ticket card possessed by the user and the electronic ticket card corresponding to the discount information, and select the discount information of the store with the electronic ticket card corresponding to the same or similar ticket information. In some embodiments, the mobile device 30 may further sort the preferential information whose expiration date is closer to the current time at the front, and sort the discount information whose expiration date is less close to the current time at the bottom. In addition, the mobile device 30 excludes the promotion information beyond the validity period.

If the comparison matches (for example, the location and/or the ticket matches), the mobile device 30 uses the matching discount information as the recommendation information (ie, the recommendation information is generated based on the selected discount information), and provides one or more discount information. Multiple pieces of recommended information are given to the user (step S270). Specifically, the mobile device 30 can present those recommended information through a message prompt interface (via a display (eg, LCD, or OLED, etc.)). In addition, the ranking of the recommended information may be based on the aforementioned ranking method (eg, distance and/or expiration date, etc.).

FIG. 4 is an example illustrating the presentation of recommendation information. Referring to FIG. 4 , the display 35 of the mobile device 30 presents sorted recommendation information 401 , 402 , and 403 . Recommended information 401, 402, 403 may include store name (for example, BellaVita, or ATT 4FUN), electronic ticket card (for example, China Trust Platinum Card, or Cathay World China Hedonic Card), expiration date (for example, from now until 12/12) 31st, until 8/8th, or until 11/30th), and promotion content (for example, free 1000,000, or 3000 free tie, etc.).

It is worth noting that these recommended information can be further used by the user to perform payment operations (eg, credit card/debit card checkout, third-party payment, electronic wallet payment, online payment, etc.) using the corresponding electronic ticket card. Specifically, most consumers' basic requirements for payment operations are fast and efficient, and if they are met, they can improve consumers' pleasure. When a user is notified of a recommendation (for example, a push notification or a programmatic interface presentation, etc.), a payment is likely to follow. When the user reads and understands the details of the offer and decides which offer to enjoy (or which electronic ticket card to pay for), the user can open the payment interface from the offer notification interface of the mobile payment application.

The mobile device 30 can detect the user's selection operation (eg, click/confirm/circle operation on a specific position) for those recommended information through an input device (eg, a touch panel, a mouse, or a button, etc.), and select the user The e-ticket card corresponding to the recommended information corresponding to the selection operation, and the payment and checkout interface of the selected e-ticket card is provided (for example, a QR code is displayed, a camera shooting screen is displayed, a fingerprint input prompt, or a prompt screen when the device is close to a card swiping machine, etc.) .

Taking FIG. 4 as an example, there are three recommended information 401 to 403 on the offer notification interface, and the user only needs to click on any notification of the recommended information 401 to 403 , and the mobile device 30 can bring up the payment and checkout interface and its flow. Select the electronic ticket card for payment to match the electronic ticket card for this recommendation information, so that the user does not need to manually select it. The payment method varies according to each mobile payment application, and this payment operation will not affect or change the original default payment e-ticket card. For example, start a QR code scan or reverse scan, or present a notification that a card swipe machine is approaching, etc.

In some embodiments, the mobile payment application can obtain the user's response to the operation on the interface through the message prompting interface and the input device, so as to know whether the user agrees to pay with the electronic ticket card. If agreed, the mobile payment application will start the payment process and will not change the payment process of the original default electronic ticket card of the mobile device. Users can make payments according to the existing payment procedures. If not, the mobile payment application compares the location of the mobile device 30 with the discount information, and determines whether to cancel the message prompt interface of the above-mentioned recommended information. After the message prompt interface is canceled, it will not prompt the user again within a certain time interval (eg, 10, 15, or 20 minutes, etc.).

On the other hand, for the provided recommendation information, the mobile device 30 can further determine whether the user has not applied the recommendation information (for example, the user leaves the store), and delete or cancel the recommendation information or change the order accordingly. For example, on the interface, the recommended information of stores that some users have left the range of offers may be removed, or the recommended information of these stores may be sorted to the end.

Regarding the judgment of the user leaving or staying in the range of preferential offers, since the user may travel back and forth between different stores, the user's willingness to consume in a specific store can be judged by accumulating the stay time. FIG. 5 is an example illustrating stop judgment. Referring to FIG. 5 , it is assumed that the first store has a preferential offer range R1 formed by a radius r1. The mobile device 30 may accumulate the first stay time when the location corresponding to the location information is within the preferential offer range R1 of the first store (ie, the user is located within a radius r1 from the store). If the first stay time is greater than the first time threshold, the mobile device 30 confirms that the location information corresponds to the preferential offer range R1. That is, the user stays in the store and has a high willingness to consume. On the contrary, the mobile device 30 has not yet confirmed that the location information corresponds to the preferential offer range R1, and continues to judge until the first stay time returns to zero.

For example, the user's path may be: position 501, position 503, position 501, and position 503 in sequence. The time of the mobile device 30 at the positions 501, 503 will be accumulated for the first dwell time, and the time at the positions 502, 504 will not be accumulated for the first dwell time.

In some scenarios, the user is not within the first store (eg, at location 502) but is within the offer offering range Rl. For these users passing through the first store, the path is likely to be: position 504, position 502, position 504, and position 504 in sequence. Therefore, fault tolerance is required in the design of dwell judgments. The embodiment of the present invention further provides a judgment mechanism for the user leaving the range. The mobile device 30 also accumulates the second stay time when the location corresponding to the location information is outside the preferential offer range R1 of the first store (ie, the user is located outside the store within the radius r1). For example, the time that the mobile device 30 is at the location 504 will be accumulated for the second dwell time. Next, if the first stay time is less than the first time threshold but the second stay time is greater than the second time threshold (which may be the same as the first time threshold, but may also be different), the mobile device 30 determines that the user has left the first time threshold The store may have no intention of spending at the first store, and the first dwell time will be reset to zero. Conversely, if the second stay time is less than the second time threshold but the first stay time is greater than the first time threshold, the mobile device 30 may determine that the user still intends to stay in the first store for consumption. In addition, for the store that the user has left, the mobile device 30 can remove or sort the corresponding recommendation information to the back.

In another embodiment, the mobile device 30 may directly compare the geographic location of the store with the location information of the mobile device 30 . If the distance between the user's location and the store is greater than the distance threshold, the mobile device 30 determines that the user has left the first store or does not intend to spend in the first store, and the second stay time does not need to be accumulated, and the first stay time can be directly attributed to zero. In this way, it is possible to identify whether or not the user is a customer of shop consumption. For in-store customers, the mobile device 30 only provides notifications of corresponding discount information. For non-store guests or those who have left, the mobile device 30 does not provide a notification corresponding to the preferential information, or a notification that the provided preferential information is deleted.

FIG. 6 is another example illustrating stop judgment. Referring to FIG. 6 , compared with FIG. 5 , the newly added second store has a preferential offer range R2 formed by a radius r2. If the user is at the location 601, it is likely that the first stay time is accumulated in two stores at the same time and reaches the first time threshold, and the mobile device 30 can provide notification of the discount information of the two stores. It is worth noting that, in order to facilitate the user to check out, the mobile device 30 may further perform recommendation information according to the average distance of the route (ie, the average distance between the user's location and the store's geographic location within a period of time). Sort, so that the discount notifications of the store corresponding to the shorter average distance are sorted in a higher priority position.

It should be noted that the aforementioned first and second time thresholds may be changed according to the user's behavior (for example, habitual stay time, past moving path, etc.), or may be provided by the computer device 10 according to the size or nature of the store Customized settings. In addition, in the notification of the aforementioned preferential information, in addition to determining that the user is a customer of the store, the user still needs to set the electronic ticket card that the store cooperates with in the mobile payment application.

Another embodiment of the present invention provides a computer program product for executing each step of the above-mentioned information recommendation method (the embodiments shown in FIG. 2 to FIG. 6 ). The computer program product includes a plurality of program instructions, and after the processor in the mobile device 30 loads and executes the program instructions, the above-mentioned information recommendation method and functions of the mobile device 30 can be implemented.

To sum up, the information recommendation method, mobile device, and computer program product according to the embodiments of the present invention include the following features:

The server establishes a store listing discount information platform to provide store listing discount information, and each store can list it according to its individual situation to improve the accuracy and integrity of the data.

Through mobile device positioning, the user's mobile behavior is calculated and exchanged with the back-end preferential information platform to infer the store location where the user may be located.

According to different stores, the user can actively send notifications of appropriate discount information, and the user can immediately know all the discounts available in the current store and the electronic ticket card held by the user, without spending additional time searching for discount information on the Internet.

Clicking the notification of the discount information will bring up the payment process of the electronic ticket card related to this discount, and the user can use the ticket card to pay immediately without changing the settings of the original payment operation.

Although the present invention has been disclosed above by the embodiments, it is not intended to limit the present invention. Anyone with ordinary knowledge in the technical field can make some changes and modifications without departing from the spirit and scope of the present invention. Therefore, The protection scope of the present invention shall be determined by the scope of the appended patent application.

1: Trading system 10: Computer equipment 30: Mobile Devices 50: Service Platform Server S210~S270: Steps r1, r2: radius R1, R2: Scope of offer 501~504, 601: Location 35: Display 401~403: Recommended information

FIG. 1 is a schematic diagram of a transaction system according to an embodiment of the present invention. FIG. 2 is a flowchart of an information recommendation method according to an embodiment of the present invention. Figure 3 is an example illustrating the scope of the offer. FIG. 4 is an example illustrating the presentation of recommendation information. FIG. 5 is an example illustrating stop judgment. FIG. 6 is another example illustrating stop judgment.

S210~S270: Steps

Claims (8)

An information recommendation method, suitable for recommending business offers, includes: obtaining preferential information of at least one store through a communication transceiver; obtaining user information by a processor, wherein the user information includes a location information and at least one ticket of an electronic ticket card information; the processor selects and sorts the preferential information of the at least one store according to the distance relationship between the location information and the at least one store, so as to generate a recommendation information; and the processor provides the at least one store based on the selection and sorting Recommendation information generated by discount information of a store, wherein the recommendation information is used for payment by the at least one electronic ticket card, wherein the step of selecting and sorting the discount information of the at least one store according to the location information includes: setting, by the processor, each a discount offer range of the store; the processor determines the distance relationship between the location information and the discount offer range of the at least one store; and the processor selects and ranks the at least one store according to the distance relationship corresponding to the at least one store Offers from a store. The information recommendation method according to claim 1, wherein the step of selecting and sorting the preferential information of the at least one store according to the distance relationship corresponding to the at least one store by the processor comprises: selecting, by the processor, that the distance relationship is the location The information corresponds to at least one of the stores within the range of the discount; The discount information of the at least one store is sorted by the distance of one less store. The information recommendation method according to claim 1, wherein the at least one store includes a first store, and the step of selecting and sorting the preferential information of the at least one store according to the distance relationship corresponding to the at least one store comprises: by the processor Accumulate a first stay time when the location corresponding to the location information is within the range of the preferential offer of the first store; accumulate a second stay by the processor when the location corresponding to the location information is outside the range of the preferential offer of the first store time; if the first stay time is less than a first time threshold but the second stay time is greater than a second time threshold, the processor determines that the user has left the first store. The information recommendation method according to claim 1, wherein before the step of providing the preferential information, the processor further comprises: selecting, by the processor, preferential information having an electronic ticket card corresponding to the ticket information. A mobile device, comprising: a communication transceiver for transmitting or receiving data; a positioning module for obtaining position information of the mobile device; and a processor, coupled to the communication transceiver and the positioning module, and configured to : obtain preferential information of at least one store through the communication transceiver; obtain a user information, wherein the user information includes the location information and the ticket information of at least one electronic ticket card; Selecting and sorting preferential information of the at least one store according to the distance relationship between the location information and the at least one store to generate recommendation information; and providing the recommended information generated based on the selected and sorted preferential information of the at least one store, Wherein the recommendation information is used for the at least one electronic ticket card to perform payment operations, wherein the processor is further configured to: set the offer range of each store; determine the distance between the location information and the offer offer range of the at least one store and selecting and sorting the preferential information of the at least one store according to the distance relationship corresponding to the at least one store. The mobile device of claim 5, wherein the processor is further configured to: select that the distance relationship is that the location information corresponds to at least one of the stores within the offer providing range; and according to the location information in the distance relationship The preferential information of the at least one store is sorted according to the distance of the location from the at least one store. A computer program product is loaded into a program through a mobile device to execute: obtain a user information, wherein the user information includes a location information and ticket information of at least one electronic ticket; and obtain a recommendation information, wherein the recommendation information is The preferential information of at least one store is selected and sorted according to the distance relationship between the location information and the at least one store, and the The recommendation information generated based on the preferential information of the at least one store selected and sorted is used for the payment operation of the at least one electronic ticket card, wherein the mobile device is further loaded into the program to perform: setting the range of preferential offering of each store; Determining a distance relationship between the location information and the offer range of the at least one store; and selecting and sorting the preferential information of the at least one store according to the distance relationship corresponding to the at least one store. The computer program product of claim 7, wherein the discount information of the at least one store is related to the ticket information of the at least one electronic ticket card, and the mobile device further executes: selecting the corresponding recommendation information corresponding to the user's selection operation one of the electronic ticket cards; and a payment checkout interface for the selected electronic ticket cards is provided.

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