鑒於現有技術的以上問題，本發明的實施例提供一種新穎的條碼展示方法、設備以及裝置，其能夠智慧地展示出用戶可能會用到的條碼，給用戶提供良好的使用體驗，幫助APP提升客戶的留存率。
常規地，卡包類功能APP為了幫助用戶快速選擇、定位、展示二維碼/條形碼通常採用如下兩種方案：
1、分類方案——按照卡券的服務類別進行分類，例如將APP付錢功能中的條碼和乘車碼進行分類，用戶在使用服務時可以通過分類快速選擇使用。這種方案的缺點在於當用戶擁有的同種類型的卡券數量較多時，用戶操作體驗無法得到明顯改善。
2、最近使用優先展示方案——按照卡券使用的先後順序進行展示，該方案假定用戶最近使用的卡券會繼續被使用。這種方案的缺點在於並未所有用戶的卡券使用都滿足這樣的行為。
為了解決常規APP的卡券展示存在的問題，按照本發明第一方面的實施例提供了一種條碼展示方法，其包括利用處理器來執行下面的處理動作：
獲取通過應用程式APP使用條碼時的使用特徵變數；
將所述使用特徵變數與對應的條碼相關聯，以構建條碼分類函數；
提取通過所述APP正在使用條碼時的當前使用特徵變數；
基於所述當前使用特徵變數，使用所述條碼分類函數產生條碼分類結果，所述條碼分類結果包括與所述當前使用特徵變數相應的條碼；並且
在所述APP中自動展示與所述當前使用特徵變數相應的條碼。
優選地，所述APP包括兩個或更多條碼，並且所述條碼是二維碼或條形碼。本領域技術人員能夠領會到，所述條碼還可以是其他合適的數位碼。例如，所述APP可以是諸如支付寶的具有卡券功能的APP，其可以包括公共交通乘車碼(二維碼或條形碼)、地鐵乘車碼(二維碼或條形碼)和其他條碼。
優選地，所述條碼展示方法還可以包括利用處理器來執行下面的處理動作：
獲取通過所述APP使用第一條碼時的第一使用特徵變數；
將所述第一使用特徵變數與所述第一條碼相關聯；
獲取通過所述APP使用第二條碼時的第二使用特徵變數，其中所述第二使用特徵變數不同於所述第一使用特徵變數；
判斷所述第二條碼是否與所述第一條碼相同；
若是，將所述第二使用特徵變數同樣與所述第一條碼相關聯；
否則，將所述第二使用特徵變數與所述第二條碼相關聯。
以這樣的方式，隨著用戶不斷使用APP的條碼(例如進行付款)，構建出針對該APP的條碼分類函數。
優選地，所述使用特徵變數包括使用條碼時產生的與條碼使用相關的特徵資訊，優選地包括條碼使用的日期、時間和地點。在使用條碼進行支付的場景，所述使用特徵變數包括付款的日期、時間和地點。本領域技術人員能夠領會到，其他有助於付款分類的使用特徵變數也是可以的。由於支付應用程式APP安裝在諸如手機的終端上，因此付款的日期、時間和地點例如可以透過手機上的計時器和GPS獲得。
優選地，所述條碼展示方法還包括：將所述當前使用特徵變數與每個條碼各自的使用特徵變數進行比較，並且所述付款分類函數產生與所述當前使用特徵變數相似的使用特徵變數所對應的條碼。
優選地，將所述當前使用特徵變數與每個條碼各自的使用特徵變數進行比較包括計算所述當前使用特徵變數與每個條碼各自的使用特徵變數之間的距離。所述付款分類函數產生與所述當前使用特徵變數距離最近的使用特徵變數所對應的條碼。
按照本發明第二方面的實施例的一種條碼展示裝置，包括：
獲取模組，用於提取通過應用程式APP使用條碼時的使用特徵變數；
分類函數構建模組，用於將所述使用特徵變數與對應的條碼相關聯，以構建條碼分類函數；
提取模組，用於提取通過所述APP正在使用條碼時的當前使用特徵變數；
確定模組，用於基於所述當前使用特徵變數，使用所述條碼分類函數產生條碼分類結果，所述條碼分類結果包括與所述當前使用特徵變數相應的條碼；以及
展示模組，用於在所述APP中自動展示與所述當前使用特徵變數相應的條碼。
按照本發明第三方面的實施例的一種條碼展示設備，包括：處理器；以及，記憶體，其上儲存有可執行指令，其中，所述可執行指令當被執行時使得所述處理器執行前述的條碼展示方法。
按照本發明第四方面的實施例的一種機器可讀儲存媒體，其上儲存有可執行指令，其中，所述可執行指令當被執行時使得機器執行前述的條碼展示方法。
從以上可以看出，本發明上述實施例的條碼展示方案，透過學習用戶使用條碼的行為產出場景因素和使用結果之間關係的分類函數，在使用場景即時計算和決策用戶最可能使用的條碼。本方案能夠達到的技術效果是：用戶在使用條碼時，卡包類APP可以直接展示最符合當前場景的條碼，給用戶提供良好的使用體驗，幫助APP提升客戶的留存率。In view of the above problems in the prior art, the embodiments of the present invention provide a novel barcode display method, device and device, which can intelligently display barcodes that users may use, provide users with a good experience, and help APP improve customers Retention rate.
Conventionally, in order to help users quickly select, locate, and display QR codes/barcodes, apps with card package functions usually adopt the following two solutions:
1. Classification scheme-according to the service category of the card and voucher, for example, the barcode and the travel code in the APP payment function are classified, and the user can quickly choose to use the service when using the service. The disadvantage of this solution is that when the user has a large number of cards and coupons of the same type, the user's operating experience cannot be significantly improved.
2. The recently used priority display scheme-display the cards and coupons in the order in which they are used. The scheme assumes that the cards and coupons that the user recently used will continue to be used. The disadvantage of this solution is that not all users' coupon usage meets such behavior.
In order to solve the problems of conventional APP card coupon display, an embodiment according to the first aspect of the present invention provides a barcode display method, which includes using a processor to execute the following processing actions:
Obtain the usage characteristic variables when using the barcode through the APP;
Associating the usage characteristic variable with the corresponding barcode to construct a barcode classification function;
Extract the current use characteristic variables when the barcode is being used through the APP;
Based on the currently used characteristic variable, use the barcode classification function to generate a barcode classification result, where the barcode classification result includes a barcode corresponding to the currently used characteristic variable; and
The barcode corresponding to the currently used characteristic variable is automatically displayed in the APP.
Preferably, the APP includes two or more barcodes, and the barcodes are two-dimensional codes or barcodes. Those skilled in the art can understand that the barcode can also be other suitable digital codes. For example, the APP may be an APP with a coupon function such as Alipay, which may include a public transportation ride code (two-dimensional code or barcode), a subway ride code (two-dimensional code or barcode), and other barcodes.
Preferably, the barcode display method may further include using a processor to execute the following processing actions:
Acquiring the first usage characteristic variable when the first barcode is used through the APP;
Associating the first usage characteristic variable with the first barcode;
Acquiring a second usage characteristic variable when the second barcode is used through the APP, wherein the second usage characteristic variable is different from the first usage characteristic variable;
Determine whether the second barcode is the same as the first barcode;
If yes, also associate the second usage characteristic variable with the first barcode;
Otherwise, associate the second usage characteristic variable with the second barcode.
In this way, as the user continues to use the barcode of the APP (for example, to make a payment), a barcode classification function for the APP is constructed.
Preferably, the use characteristic variable includes characteristic information related to the use of the barcode generated when the barcode is used, and preferably includes the date, time and location of the use of the barcode. In the scenario of using barcodes for payment, the use characteristic variables include the date, time, and place of payment. Those skilled in the art can understand that other usage characteristic variables that help payment classification are also possible. Since the payment application APP is installed on a terminal such as a mobile phone, the date, time and place of payment can be obtained through a timer and GPS on the mobile phone, for example.
Preferably, the barcode display method further includes: comparing the current use characteristic variable with the respective use characteristic variable of each barcode, and the payment classification function generates a use characteristic variable similar to the current use characteristic variable. The corresponding barcode.
Preferably, comparing the current usage characteristic variable with the respective usage characteristic variable of each barcode includes calculating the distance between the current usage characteristic variable and the respective usage characteristic variable of each barcode. The payment classification function generates a barcode corresponding to the use characteristic variable that is closest to the current use characteristic variable.
A barcode display device according to an embodiment of the second aspect of the present invention includes:
Obtaining the module, used to extract the usage characteristic variables when using the barcode through the APP;
The classification function construction module is used to associate the use characteristic variable with the corresponding barcode to construct a barcode classification function;
The extraction module is used to extract the current use feature variables when the barcode is being used through the APP;
A determining module, configured to generate a barcode classification result using the barcode classification function based on the currently used characteristic variable, the barcode classification result including a barcode corresponding to the currently used characteristic variable; and
The display module is used to automatically display the barcode corresponding to the currently used characteristic variable in the APP.
According to an embodiment of the third aspect of the present invention, a barcode display device includes: a processor; and, a memory on which executable instructions are stored, wherein the executable instructions when executed cause the processor to execute The aforementioned bar code display method.
A machine-readable storage medium according to an embodiment of the fourth aspect of the present invention has executable instructions stored thereon, wherein the executable instructions, when executed, cause the machine to execute the aforementioned barcode display method.
It can be seen from the above that the barcode display solution of the above-mentioned embodiment of the present invention, by learning the classification function of the relationship between the user’s behavior of using the barcode and the relationship between the scene factors and the use result, calculates and decides the barcode that the user is most likely to use immediately . The technical effect that this solution can achieve is: when users use barcodes, card package apps can directly display the barcodes that best fit the current scenario, provide users with a good experience, and help APP improve customer retention.
現在將參考示例實施方式討論本文描述的主題。應該理解，討論這些實施方式只是為了使得本領域技術人員能夠更好地理解從而實現本文描述的主題，並非是對申請專利範圍中所闡述的保護範圍、適用性或者示例的限制。可以在不脫離本公開內容的保護範圍的情況下，對所討論的元素的功能和排列進行改變。各個示例可以根據需要，省略、替代或者添加各種過程或元件。例如，所描述的方法可以按照與所描述的順序不同的順序來執行，以及各個步驟可以被添加、省略或者組合。另外，相對一些示例所描述的特徵在其它例子中也可以進行組合。
如本文中使用的，術語“包括”及其變型表示開放的術語，含義是“包括但不限於”。術語“基於”表示“至少部分地基於”。術語“一個實施例”和“一實施例”表示“至少一個實施例”。術語“另一個實施例”表示“至少一個其他實施例”。術語“第一”、“第二”等可以指代不同的或相同的對象。下面可以包括其他的定義，無論是明確的還是隱含的。除非上下文中明確地指明，否則一個術語的定義在整個說明書中是一致的。
本發明的實施例提出了一種基於用戶行為學習的條碼展示方法、設備以及裝置，其能夠幫助卡包類APP在使用時快速決策並展示用戶可能會用到的條碼，給用戶提供良好的使用體驗。
下面，結合附圖詳細描述本發明的各個實施例。
圖1示出了按照本發明的實施例的條碼展示方法100的總體流程圖。方法100可以由伺服器或者一個或多個處理器來執行。
如圖1所示，在步驟110，透過例如伺服器或處理器，獲取通過應用程式APP使用條碼時的使用特徵變數。
在一個實施例中，所述使用特徵變數包括使用條碼時產生的與條碼使用相關的特徵資訊，優選地包括條碼使用的日期、時間和地點。在使用條碼進行支付的場景，所述使用特徵變數是指付款時產生的與付款相關的特徵資訊，比如付款的日期、時間和/或地點。本領域技術人員能夠領會到，其他有助於付款分類的使用特徵變數也是可以的。由於支付應用程式APP安裝在諸如手機的終端上，因此付款的日期、時間和地點例如可以透過手機上的GPS和線上網路獲得。例如，當用戶使用某一款支付APP通過諸如二維碼或條形碼的條碼進行支付時，透過手機上的GPS和線上網路自動記錄此次付款的日期、時間和/或地點。
本申請實施例中所述支付涉及的技術載體，例如可以包括近場通信(Near Field Communication，NFC)、WIFI、3G/4G/5G、POS機刷卡技術、二維碼掃碼技術、條形碼掃碼技術、藍牙、紅外線、短訊息(Short Message Service，SMS)、多媒體訊息(Multimedia Message Service，MMS)等。
在步驟120，透過例如伺服器或處理器，將所述使用特徵變數與對應的條碼相關聯，以構建條碼分類函數。
根據一個實施例，支付APP包括兩個或更多條碼，並且所述條碼是二維碼或條形碼。本領域技術人員能夠領會到，所述條碼還可以是其他合適的數位碼。例如，所述APP可以是諸如支付寶的具有卡券功能的APP，其可以包括公共交通乘車碼(二維碼或條形碼)、地鐵乘車碼(二維碼或條形碼)和其他條碼。
圖2示出了按照本發明的實施例的條碼分類方法200的總體流程圖。方法200可以由伺服器或者一個或多個處理器來執行。
繼續參照圖1並參照圖2，在步驟210，透過例如伺服器或處理器，提取通過所述APP使用第一條碼(例如付款)時的第一使用特徵變數。例如，用戶在週一早上8點15分在公共交通站附近使用公共交通乘車碼付款乘坐公車。在該示例中，所述第一使用特徵變數可以包括星期一、上午8點15分以及公車站。
在步驟220，透過例如伺服器或處理器，將所述第一使用特徵變數與所述第一條碼相關聯。在上述示例中，所述第一條碼可以是公共交通乘車碼(二維碼或條形碼)。因而，透過例如處理器，將“星期一”、“上午8點15分”以及“公車站”與“公共交通乘車碼”相關聯。
在步驟230，透過例如伺服器或處理器，提取通過所述APP使用第二條碼(例如付款)時的第二使用特徵變數，其中所述第二使用特徵變數不同於所述第一使用特徵變數。例如，用戶在週一早上9點0分在地鐵站附近使用地鐵乘車碼付款乘坐地鐵。所述第二使用特徵變數可以包括星期一、上午9點0分以及地鐵。
在步驟240，透過例如伺服器或處理器，判斷所述第二條碼是否與所述第一條碼相同。例如，透過例如處理器，判斷作為第二條碼的地鐵乘車碼是否與作為第一條碼的公共交通乘車碼相同。
在步驟250，透過例如伺服器或處理器，若是，將所述第二使用特徵變數同樣與所述第一條碼相關聯。例如，假設用戶在週一早上8點30分在另一公共交通站附近使用公共交通乘車碼付款乘坐另一公車。在這種情況下，透過例如處理器，可以將“星期一”、“上午8點30分”以及“另一公車站”與“公共交通乘車碼”相關聯。
在步驟260，透過例如伺服器或處理器，否則，將所述第二使用特徵變數與所述第二條碼相關聯。在上述示例中，所述第二條碼可以是地鐵乘車碼(二維碼或條形碼)，因而不同於所述第一條碼(即，公共交通乘車碼)。因此，透過例如處理器，將“星期一”、“上午9點0分”以及“地鐵”與“地鐵乘車碼”相關聯。
本領域技術人員可以領會到，用戶在週一至週五的工作日正常情況下可能都會首先乘坐公車然後乘坐地鐵上班。因而，所述使用特徵變數中的日期可以是“星期一”、“星期二”、“星期三”、“星期四”、以及“星期五”。另外，如何用戶的生活習慣比較規律，可以省略所述使用特徵變數中的地點。亦即，只需要將所述使用特徵變數中的日期和時間與相應的條碼相關聯。此外，本領域技術人員也可以領會到，用戶在公車站附近通過APP使用條碼進行付款可能就是要使用公共交通乘車碼付款乘坐公車，或者用戶在地鐵站附近通過APP使用條碼進行付款可能就是要使用地鐵乘車碼付款乘坐地鐵。因而，可以省略所述使用特徵變數中的日期和時間，而只將所述使用特徵變數中的地點與相應的條碼相關聯。
儘管上面參考乘坐交通工具進行的描述，但是本領域技術人員應能領會到其他應用場景，例如，在工作日的早晨7點30分在麥當勞附近使用麥當勞的優惠券點早餐，在工作日的中午12點0分在公司裡使用餓了麼的優惠券點午餐，等等。
在步驟270，透過例如伺服器或處理器，通過將第一和第二使用特徵變數與對應的(第一或第二)條碼相關聯，構建條碼分類函數。所述條碼分類函數能夠根據輸入的使用特徵變數確定出對應的條碼。
繼續參照圖1，在步驟130，透過例如伺服器或處理器，提取通過所述APP正在使用條碼時的當前使用特徵變數。例如，當用戶拿出手機準備通過APP進行支付時，可以透過手機上的GPS和線上網路獲得用戶正在使用條碼時的日期、時間和/或地點。
在步驟140，透過例如伺服器或處理器，基於所述當前使用特徵變數和前述的條碼分類函數，產生條碼分類結果，所述條碼分類結果包括與所述當前使用特徵變數相應的條碼。
在一個實施例中，所述條碼展示方法還包括借助於所述條碼分類函數，將所述當前使用特徵變數與每個條碼各自的使用特徵變數進行比較，並且輸出與所述當前使用特徵變數相似的使用特徵變數所對應的條碼。
更具體地，所述條碼展示方法還包括借助於所述條碼分類函數，計算所述當前使用特徵變數與每個條碼各自的使用特徵變數之間的距離，並且輸出與所述當前使用特徵變數距離最近的使用特徵變數所對應的條碼。例如，用戶在下週一早上9點5分在地鐵站打開支付APP。在這種情況下，所述當前使用特徵變數可以包括“星期一”、“上午9點5分”以及“鐵站”地。因而，根據本發明的實施例，可以將所述當前使用特徵變數(“星期一”、“上午9點5分”以及“地鐵站”)分別與公共交通乘車碼對應的使用特徵變數(“星期一”、“上午8點15分”以及“公車站”)和地鐵乘車碼對應的使用特徵變數(“星期一”、“上午9點0分”以及“地鐵”)進行比較。可以看出，所述當前使用特徵變數的日期(“星期一”)與公共交通乘車碼和地鐵乘車碼對應的日期都相同；而所述當前使用特徵變數的地點(“地鐵”)與地鐵乘車碼對應的地點相同。優選地，可以計算相應使用特徵變數之間的距離。例如，所述當前使用特徵變數的時間(“上午9點5分”)與地鐵乘車碼對應的時間(“上午9點0分”)之間的距離小於其與公共交通乘車碼對應的時間(“上午8點15分”)之間的距離。因而，根據上述示例，所述當前使用特徵變數與用戶使用地鐵乘車碼時對應的使用特徵變數更相似，於是，所述條碼分類函數可以針對所述當前使用特徵變數(“星期一”、“上午9點5分”以及“地鐵站”)輸出地鐵乘車碼。
在步驟150，透過例如伺服器或處理器，在所述APP中自動展示與所述當前使用特徵變數相應的所述條碼。在上述示例中，針對所述當前使用特徵變數(“星期一”、“上午9點5分”以及“地鐵站”)，支付APP自動展示地鐵乘車碼以方便用戶乘坐地鐵。
在另一示例中，所述條碼分類函數可以根據作為當前使用特徵變數的“星期二”、“上午8點20分”以及“公車站”而輸出公共交通乘車碼，並在用戶掏出手機通過APP進行支付時自動展示公共交通乘車碼。在又一示例中，用戶在周日下午三點在地鐵站附近掏出手機點開支付APP。在這種情況下，根據本發明的教導，所述條碼分類函數可以主要根據作為當前使用特徵變數的地點(“地鐵站”)而輸出地鐵乘車碼。因而，根據本發明，所述條碼分類函數可以針對不同的使用特徵變數設置不同的權重。例如，使用特徵變數中“地點”的權重大於“時間”的權重，後者又大於“日期”的權重。
優選地，每次使用完條碼之後，都會“學習”所使用的條碼及其對應的使用特徵變數，從而完善所構建的條碼分類函數。
其它變型
圖3示出了按照本發明的另一實施例的條碼展示裝置300的示意圖。圖3所示的條碼展示裝置300可以利用軟體、硬體或軟硬體結合的方式來實現。
如圖3所示，條碼展示裝置300可以包括獲取模組310和分類函數構建模組320。
在一個示例中，提取模組310用於獲取通過應用程式APP使用條碼時的使用特徵變數。分類函數構建模組320用於將所述使用特徵變數與對應的條碼相關聯，以構建條碼分類函數。
在一個示例中，提取模組310還用於提取通過所述APP使用第一條碼時的第一使用特徵變數和使用第二條碼時的第二使用特徵變數，其中所述第二使用特徵變數不同於所述第一使用特徵變數。在這種情況下，分類函數構建模組320還用於將所述第一使用特徵變數與所述第一條碼相關聯；判斷所述第二條碼是否與所述第一條碼相同；若是，將所述第二使用特徵變數同樣與所述第一條碼相關聯；否則，將所述第二使用特徵變數與所述第二條碼相關聯。
在一個示例中，條碼展示裝置300還可以包括提取模組330、確定模組340和展示模組350。
在一個示例中，提取模組330用於提取通過所述APP正在使用條碼時的當前使用特徵變數。本領域技術人員能夠領會到，提取模組330可以與獲取模組310是同一模組，也可以是獨立於獲取模組310的另一模組。
在一個示例中，確定模組340用於基於所述當前使用特徵變數，使用所述條碼分類函數輸出條碼分類結果，所述條碼分類結果包括與所述當前使用特徵變數相應的條碼。展示模組350用於在所述APP中自動展示與所述當前使用特徵變數相應的條碼。
在另一示例中，確定模組340還用於借助於所述付款分類函數，將所述當前使用特徵變數與每個條碼各自的使用特徵變數進行比較，並輸出與所述當前使用特徵變數相似的使用特徵變數所對應的條碼。
在另一示例中，確定模組340還用於利用所述條碼分類函數計算所述當前使用特徵變數與每個條碼各自的使用特徵變數之間的距離，並且輸出與所述當前使用特徵變數距離最近的使用特徵變數所對應的條碼。
圖4示出了按照本發明的另一實施例的條碼展示設備400的示意圖。如圖4所示，條碼展示設備400可以包括處理器410和記憶體420。記憶體420上儲存有可執行指令，其中，所述可執行指令當被執行時使得處理器410執行圖1-2所示的條碼展示方法100-200。條碼展示設備400例如可以由伺服器或者一個或多個處理器來實現。
按照本發明的實施例還提供一種機器可讀儲存媒體，其上儲存有可執行指令，其中，所述可執行指令當被執行時使得機器執行圖1-2所示的條碼展示方法100-200。
儘管說明書的上述實施例參照乘車場景描述的本發明，但是本發明的發明構思也適合於其他支付場景。
電腦可讀媒體包括永久性和非永久性、可移動和非可移動媒體可以由任何方法或技術來實現資訊儲存。資訊可以是電腦可讀指令、資料結構、程式的模組或其他資料。電腦的儲存媒體的例子包括，但不限於相變記憶體(PRAM)、靜態隨機存取記憶體(SRAM)、動態隨機存取記憶體(DRAM)、其他類型的隨機存取記憶體(RAM)、唯讀記憶體(ROM)、電可擦除可編程唯讀記憶體(EEPROM)、快閃記憶體或其他記憶體技術、唯讀光碟唯讀記憶體(CD-ROM)、數位多功能光碟(DVD)或其他光學儲存、磁盒式磁帶，磁帶磁磁片儲存或其他磁性存放裝置或任何其他非傳輸媒體，可用於儲存可以被計算設備訪問的資訊。按照本文中的界定，電腦可讀媒體不包括暫存電腦可讀媒體(transitory media)，如調變的資料信號和載波。
上面結合附圖闡述的具體實施方式描述了示例性實施例，但並不表示可以實現的或者落入申請專利範圍的保護範圍的所有實施例。在整個本說明書中使用的術語“示例性”意味著“用作示例、實例或例示”，並不意味著比其它實施例“優選”或“具有優勢”。出於提供對所描述技術的理解的目的，具體實施方式包括具體細節。然而，可以在沒有這些具體細節的情況下實施這些技術。在一些實例中，為了避免對所描述的實施例的概念造成難以理解，公知的結構和裝置以框圖形式示出。
本公開內容的上述描述被提供來使得本領域任何普通技術人員能夠實現或者使用本公開內容。對於本領域普通技術人員來說，對本公開內容進行的各種修改是顯而易見的，並且，也可以在不脫離本公開內容的保護範圍的情況下，將本文所定義的一般性原理應用於其它變型。因此，本公開內容並不限於本文所描述的示例和設計，而是與符合本文公開的原理和新穎性特徵的最廣範圍相一致。The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and is not to limit the scope of protection, applicability or examples set forth in the scope of the patent application. The function and arrangement of the discussed elements can be changed without departing from the scope of protection of the present disclosure. Various examples can omit, replace or add various procedures or elements as needed. For example, the described method may be executed in a different order from the described order, and various steps may be added, omitted, or combined. In addition, features described with respect to some examples can also be combined in other examples.
As used herein, the term "including" and its variants means open terms, meaning "including but not limited to." The term "based on" means "based at least in part on." The terms "one embodiment" and "an embodiment" mean "at least one embodiment." The term "another embodiment" means "at least one other embodiment." The terms "first", "second", etc. may refer to different or the same objects. Other definitions can be included below, either explicit or implicit. Unless clearly indicated in the context, the definition of a term is consistent throughout the specification.
The embodiment of the present invention proposes a bar code display method, device and device based on user behavior learning, which can help card package apps to make quick decisions and display bar codes that users may use when using them, providing users with a good user experience .
Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 shows an overall flowchart of a barcode display method 100 according to an embodiment of the present invention. The method 100 may be executed by a server or one or more processors.
As shown in FIG. 1, in step 110, through, for example, a server or a processor, a usage characteristic variable when using a barcode through an application APP is obtained.
In one embodiment, the use characteristic variable includes characteristic information related to the use of the barcode generated when the barcode is used, and preferably includes the date, time, and place of use of the barcode. In the scenario where a barcode is used for payment, the use characteristic variable refers to payment-related characteristic information generated during payment, such as the date, time and/or location of the payment. Those skilled in the art can understand that other usage characteristic variables that help payment classification are also possible. Since the payment application APP is installed on a terminal such as a mobile phone, the date, time and place of payment can be obtained through GPS and online networks on the mobile phone, for example. For example, when a user uses a certain payment APP to make a payment through a barcode such as a QR code or a barcode, the date, time and/or location of the payment is automatically recorded through the GPS and online network on the mobile phone.
The technical carrier involved in the payment in the embodiments of this application may include, for example, Near Field Communication (NFC), WIFI, 3G/4G/5G, POS machine card swiping technology, QR code scanning technology, and barcode scanning technology. Technology, Bluetooth, infrared, Short Message Service (SMS), Multimedia Message Service (MMS), etc.
In step 120, the use characteristic variable is associated with the corresponding barcode through, for example, a server or a processor, to construct a barcode classification function.
According to one embodiment, the payment APP includes two or more barcodes, and the barcodes are two-dimensional codes or barcodes. Those skilled in the art can understand that the barcode can also be other suitable digital codes. For example, the APP may be an APP with a coupon function such as Alipay, which may include a public transportation ride code (two-dimensional code or barcode), a subway ride code (two-dimensional code or barcode), and other barcodes.
Fig. 2 shows an overall flowchart of a barcode classification method 200 according to an embodiment of the present invention. The method 200 may be executed by a server or one or more processors.
Continuing to refer to FIG. 1 and referring to FIG. 2, in step 210, the first use characteristic variable when the first barcode (such as payment) is used through the APP is extracted through, for example, a server or a processor. For example, at 8:15 on Monday morning, a user uses a public transportation bus code to pay for a bus ride near a public transportation station. In this example, the first usage characteristic variable may include Monday, 8:15 AM, and bus stop.
In step 220, the first usage characteristic variable is associated with the first barcode through, for example, a server or a processor. In the above example, the first barcode may be a public transportation ride code (two-dimensional code or barcode). Therefore, through the processor, for example, "Monday", "8:15 AM", and "Bus Stop" are associated with the "Public Transportation Boarding Code".
In step 230, extract a second usage characteristic variable when using a second barcode (such as payment) through the APP through, for example, a server or a processor, wherein the second usage characteristic variable is different from the first usage characteristic variable . For example, a user uses a subway transit code to pay for a subway ride near a subway station at 9:00 on Monday morning. The second usage characteristic variable may include Monday, 9:00 am, and subway.
In step 240, it is determined whether the second barcode is the same as the first barcode through, for example, a server or a processor. For example, it is determined whether the subway boarding code as the second barcode is the same as the public transportation boarding code as the first barcode through, for example, a processor.
In step 250, through, for example, a server or a processor, if yes, the second usage characteristic variable is also associated with the first barcode. For example, suppose that a user uses a public transportation bus code to pay for another bus at 8:30 on Monday morning near another public transportation station. In this case, through, for example, the processor, "Monday", "8:30 AM", and "another bus stop" can be associated with the "public transportation boarding code".
In step 260, through, for example, a server or a processor, otherwise, the second usage characteristic variable is associated with the second barcode. In the above example, the second barcode may be a subway ride code (a two-dimensional code or a barcode), and thus is different from the first barcode (ie, a public transportation ride code). Therefore, through the processor, for example, "Monday", "9:00 AM", and "Metro" are associated with "Metro boarding code".
Those skilled in the art can understand that users may first take the bus and then take the subway to work during normal working days from Monday to Friday. Therefore, the date in the usage characteristic variable may be "Monday", "Tuesday", "Wednesday", "Thursday", and "Friday". In addition, if the user's living habits are relatively regular, the location in the use feature variable can be omitted. That is, it is only necessary to associate the date and time in the usage characteristic variable with the corresponding barcode. In addition, those skilled in the art can also understand that the user using the barcode to make payment through the APP near the bus station may be to use the public transportation bus code to pay for the bus, or the user may use the barcode to pay through the APP near the subway station. Use the subway transit code to pay for the subway ride. Therefore, the date and time in the use characteristic variable can be omitted, and only the location in the use characteristic variable can be associated with the corresponding barcode.
Although the description above refers to taking transportation, those skilled in the art should be able to understand other application scenarios. For example, use McDonald’s coupons to order breakfast at 7:30 in the morning on a working day, and at noon on a working day. Use Ele.me coupons to order lunch in the company at 12:00, etc.
In step 270, a barcode classification function is constructed by associating the first and second usage characteristic variables with the corresponding (first or second) barcode through, for example, a server or a processor. The barcode classification function can determine the corresponding barcode according to the input usage characteristic variable.
Continuing to refer to FIG. 1, in step 130, through, for example, a server or a processor, extract the current use characteristic variables when the barcode is being used by the APP. For example, when the user takes out the mobile phone and prepares to pay through the APP, the date, time and/or location when the user is using the barcode can be obtained through the GPS and online network on the mobile phone.
In step 140, a barcode classification result is generated based on the currently used characteristic variable and the aforementioned barcode classification function through, for example, a server or a processor, and the barcode classification result includes a barcode corresponding to the currently used characteristic variable.
In one embodiment, the barcode display method further includes comparing the currently used characteristic variable with the respective use characteristic variable of each barcode with the aid of the barcode classification function, and outputting similar to the currently used characteristic variable Use the barcode corresponding to the characteristic variable.
More specifically, the barcode display method further includes calculating the distance between the currently used characteristic variable and the respective use characteristic variable of each barcode by means of the barcode classification function, and outputting the distance from the currently used characteristic variable The barcode corresponding to the most recently used feature variable. For example, the user opens the payment app at a subway station at 9:5 a.m. next Monday. In this case, the current use characteristic variables may include "Monday", "9:5 AM" and "Iron Station". Therefore, according to the embodiment of the present invention, the currently used characteristic variables ("Monday", "9:5 AM", and "Subway Station") can be respectively used with the corresponding use characteristic variables (" Monday", "8:15 AM" and "Bus Stop") and the use characteristic variables corresponding to the subway boarding code ("Monday", "9:00 AM" and "Subway") are compared. It can be seen that the date of the current use of the characteristic variable ("Monday") is the same as the date corresponding to the public transportation boarding code and the subway boarding code; and the location of the current use of the characteristic variable ("Metro") is the same as The location corresponding to the subway boarding code is the same. Preferably, the distance between the corresponding used characteristic variables can be calculated. For example, the distance between the time of the current use of the characteristic variable ("9:5 AM") and the time corresponding to the subway boarding code ("9:00 AM") is less than that corresponding to the public transportation boarding code The distance between time ("8:15 AM"). Therefore, according to the above example, the currently used characteristic variable is more similar to the corresponding used characteristic variable when the user uses the subway ride code. Therefore, the barcode classification function can be based on the currently used characteristic variable ("Monday", " "9:5 AM" and "Metro Station") output the subway boarding code.
In step 150, the barcode corresponding to the currently used characteristic variable is automatically displayed in the APP through, for example, a server or a processor. In the above example, for the currently used feature variables ("Monday", "9:5 AM" and "Metro station"), the payment APP automatically displays the subway bus code to facilitate the user to take the subway.
In another example, the barcode classification function can output the public transportation bus code based on "Tuesday", "8:20 AM" and "Bus Stop" as the currently used feature variables, and pass the code when the user pulls out his mobile phone When the APP makes a payment, the bus code for public transportation is automatically displayed. In another example, the user takes out his mobile phone near a subway station at 3 o'clock on Sunday afternoon to open a payment app. In this case, according to the teaching of the present invention, the barcode classification function can output the subway boarding code mainly according to the location ("subway station") that is the currently used feature variable. Therefore, according to the present invention, the barcode classification function can be set with different weights for different usage characteristic variables. For example, the weight of "location" in the characteristic variable used is greater than the weight of "time", which is greater than the weight of "date".
Preferably, each time the barcode is used, the barcode used and its corresponding use characteristic variables will be "learned", so as to perfect the barcode classification function constructed.
Other variants
FIG. 3 shows a schematic diagram of a barcode display device 300 according to another embodiment of the present invention. The barcode display device 300 shown in FIG. 3 can be implemented by software, hardware, or a combination of software and hardware.
As shown in FIG. 3, the barcode display device 300 may include an acquisition module 310 and a classification function construction module 320.
In one example, the extraction module 310 is used to obtain the usage characteristic variables when the barcode is used through the application APP. The classification function construction module 320 is used for associating the usage characteristic variable with the corresponding barcode to construct a barcode classification function.
In an example, the extraction module 310 is also used to extract the first use characteristic variable when the first barcode is used through the APP and the second use characteristic variable when the second barcode is used, wherein the second use characteristic variables are different In the first use characteristic variable. In this case, the classification function construction module 320 is also used to associate the first usage characteristic variable with the first barcode; to determine whether the second barcode is the same as the first barcode; if so, to The second usage characteristic variable is also associated with the first barcode; otherwise, the second usage characteristic variable is associated with the second barcode.
In an example, the barcode display device 300 may further include an extraction module 330, a determination module 340, and a display module 350.
In one example, the extraction module 330 is used to extract the current use characteristic variables when the barcode is being used by the APP. Those skilled in the art can understand that the extraction module 330 and the acquisition module 310 may be the same module, or may be another module independent of the acquisition module 310.
In one example, the determining module 340 is configured to output a barcode classification result using the barcode classification function based on the currently used characteristic variable, and the barcode classification result includes a barcode corresponding to the currently used characteristic variable. The display module 350 is used to automatically display the barcode corresponding to the currently used characteristic variable in the APP.
In another example, the determination module 340 is further configured to compare the current usage characteristic variable with the respective usage characteristic variable of each barcode with the aid of the payment classification function, and output similarity to the current usage characteristic variable Use the barcode corresponding to the characteristic variable.
In another example, the determining module 340 is further configured to use the barcode classification function to calculate the distance between the currently used characteristic variable and the respective use characteristic variable of each barcode, and output the distance from the currently used characteristic variable The barcode corresponding to the most recently used feature variable.
FIG. 4 shows a schematic diagram of a barcode display device 400 according to another embodiment of the present invention. As shown in FIG. 4, the barcode display device 400 may include a processor 410 and a memory 420. The memory 420 stores executable instructions, where the executable instructions when executed cause the processor 410 to execute the barcode display method 100-200 shown in FIGS. 1-2. The barcode display device 400 may be implemented by a server or one or more processors, for example.
According to an embodiment of the present invention, there is also provided a machine-readable storage medium having executable instructions stored thereon, wherein the executable instructions, when executed, cause the machine to execute the barcode display method 100-200 shown in FIGS. 1-2 .
Although the foregoing embodiments of the specification refer to the present invention described in the riding scene, the inventive concept of the present invention is also suitable for other payment scenarios.
Computer-readable media includes permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), and other types of random access memory (RAM) , Read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital multi-function disc (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.
The specific implementations set forth above in conjunction with the drawings describe exemplary embodiments, but do not represent all embodiments that can be implemented or fall within the protection scope of the patent application. The term "exemplary" used throughout this specification means "serving as an example, instance, or illustration", and does not mean "preferred" or "advantageous" over other embodiments. The detailed description includes specific details for the purpose of providing an understanding of the described technology. However, these techniques can be implemented without these specific details. In some instances, in order to avoid incomprehensibility to the concepts of the described embodiments, well-known structures and devices are shown in block diagram form.
The foregoing description of the present disclosure is provided to enable any person of ordinary skill in the art to implement or use the present disclosure. For those of ordinary skill in the art, various modifications to the present disclosure are obvious, and the general principles defined herein can also be applied to other modifications without departing from the protection scope of the present disclosure. Therefore, the present disclosure is not limited to the examples and designs described herein, but is consistent with the broadest scope that conforms to the principles and novel features disclosed herein.
