為使本申請的目的、技術方案和優點更加清楚，下面將結合本申請具體實施例及相應的圖式對本申請技術方案進行清楚、完整地描述。顯然，所描述的實施例僅是本申請一部分實施例，而不是全部的實施例。基於本說明書中的實施例，本領域普通技術人員在沒有做出進步性勞動前提下所獲得的所有其他實施例，都屬於本申請保護的範圍。 基於前述內容，所述的共享物品可包括共享單車、共享電動車、共享雨傘、共享充電寶、共享書籍等等。所述的投放地點通常是管理方事先確定的一定區域，處於同一區域的物品將被認為處於同一投放地點。所述的放置地點通常是某一個或多個投放地點，或者，放置地點不是投放地點，但放置地點與投放地點之間有某種已經確定的關聯關係（例如，放置地點與某個投放地點屬於同一住宅小區）。 所述的放置地點可通過使用者使用資料直接得到。通常使用者在每次使用了共享物品並放置後，通過共享物品管理方所提供的客戶端（該客戶端通常安裝並運行於使用者所使用的終端內），可獲取使用結束時的地點資訊，寫入使用者使用記錄並上傳至共享物品管理方伺服端（可包括：伺服器）。例如，可通過使用者終端內的定位模組獲取結束時的地點資訊，例如，GPS（Global Positioning System全球定位系統）模組、LBS（Location Based Service，基於位置服務）模組等。即，使用結束的地點便可認為是該使用者使用共享物品之後的放置地點。 所述的共享物品的特徵資料通常可以從離線採集獲得，可包括前述的投放地點和該投放地點上共享物品的使用狀態。其中，共享物品的使用狀態可包括共享物品是否損壞、是否亂停、是否丟失、二次使用情況等等，所述共享物品的特徵分佈可包括該共享物品的損壞比例/機率、亂停比例/機率、丟失比例/機率、二次使用比例/機率等等。 在本說明書的實施例中，所述的資料處理方法可採用如圖1所示的架構，在所述架構中，所述評估設備可以是各種集群/分布式的伺服器、處理器等等，在實際應用場景中，所述的評估設備可以屬於共享物品管理方，也可以屬於獨立的第三方評估機構，這裡並不構成對本申請的限定。 下面將基於如圖1所示的架構，詳細說明本說明書的實施例提供的資料處理過程，該過程具體包括以下步驟，如圖2所示： 步驟S201，獲取使用者使用資料，其中，所述使用者使用資料至少包括使用者使用共享物品之後的放置地點資訊。 在實際應用中，使用者每次使用共享物品，均會產生使用者使用資料。在本說明書實施例中，所述的使用者使用資料可以通過實時接受獲得（例如，通過業務方的業務伺服器實時接收使用者使用資料，並轉發至評估設備），也可以是預先已經得到的使用者歷史資料。所述的使用者使用資料記錄該使用者的使用情況，即每條使用記錄中通常會包括該使用者的ID、本次開始使用的時間和地點、本次使用結束的時間和地點等等。使用結束的地點即被認為是該使用者使用共享物品之後的放置地點。 步驟S203，確定多個投放地點及各投放地點的評分。 如前述內容，在實際應用中，共享物品管理方通常可指定多個固定地點作為投放地點，用於投放共享物品，每個地點附近一定範圍內的區域被認定為同一投放地點。 例如，指定以某地鐵出口為圓心，半徑50米的圓內的區域為同一投放地點。 作為本說明書實施例中的一種方式，所述的評分可以根據經驗直接給定，例如，直接指定某地鐵口評分為10分，某商場出口為8分，某公園附近為2分等等。 作為本說明書實施例中的另一種方式，也可以通過資料統計，採用某種算法或者模型，確定指定投放地點的評分，具體實施方式將在後文詳述。 步驟S205，針對任一使用者，根據已確定的部分或者全部投放地點的評分和該使用者的放置地點資訊，對該使用者進行評估。 如前所述，放置地點可為所述多個投放地點的子集或與投放地點相關，從而每個放置地點均可計算各自對應的評分，進而針對每一個使用者，均可獲取其對於共享物品的多次放置地點對應的評分，進行求和、求均值等多種方式對使用者進行評分，以對該使用者進行評級、判斷優劣等等評估操作。在這個過程中，針對一個使用者而言，可能只需要使用部分投放地點的評分，但對於大量的使用者而言，每個投放地點的評分都會被採用。 本說明書的實施例中，通過確定各投放地點及其評分。結合包含放置地點資訊的使用者使用資料，實現針對使用者進行評估。從而共享物品的管理方更瞭解自己的使用者，有利於共享物品的管理方根據評估結果進一步開展營銷業務和管理業務。 在本說明書的一種實施例中，所述步驟S203中，確定各投放地點的評分，可採用如下實現方式，如圖3所示： 步驟S301，獲取所述多個投放地點上共享物品的特徵分佈。 如前述，共享物品的特徵分佈可包括該共享物品的損壞比例/機率、亂停比例/機率、丟失比例/機率、二次使用比例/機率等等。可以通過離線採集和線上採集兩個部分來實現，具體方式將在後文詳述。 步驟S303，根據所述特徵分佈，確定所述多個投放地點的評分。 由於得到的特徵分佈通常有多個，且通常是比例或者機率的形式，在實際應用中，可以對特徵分佈進行歸一化，以使其更適宜操作，也更能直觀的顯示出對於某個特徵分佈而言，該投放地點在整體中的相對位置，如圖4所示。 例如，現已確定對於某共享單車的損壞比例，在投放地點A為10%，在地點B為20%，在地點C為40%，在地點D為50%，在地點E為60%，對前述的損壞比例進行歸一化，則對於損壞比例這個特徵分佈而言，地點A至地點E各自對應的值分別為：0、0.2、0.6、0.8、1。還可以對所述的歸一化值進行比例放大或者縮小產生評分，更為直觀的顯示出各地點的損壞情況在整體中的相對位置。 進而，可對於每一種特徵分佈都進行歸一化，並設置每種特徵分佈的權重，對前述的多個歸一化值進行諸如加權求和、加權平均等計算方式，對所述的多個地點進行評分。 在上述方案中，通過共享物品的特徵分佈進行評分，從而對於投放地點的評分更符合實際情況，並且可以隨時根據特徵分佈的變化及時進行修正。 在本說明書的另一種實施例中，所述步驟S301，獲取所述多個投放地點上共享物品的特徵分佈，可以包括如下兩種實現形式： 其一，通過離線採集的方式，包括獲取包含所述多個投放地點的共享物品的特徵資料，根據部分或者全部所述特徵資料，統計所述多個地點上共享物品的特徵分佈，其中，所述特徵資料至少包括共享物品的損壞狀態。 該方式通常可以獲取各投放地點上共享物品的損壞比例或亂停放（即，沒有停靠在指定投放地點範圍內的比例）比例/機率等 其二，通過線上採集的方式，可根據使用者使用資料，確定同一地點上，同一使用者連續使用不同共享物品的時間間隔或同一共享物品被連續使用的時間間隔，根據所述時間間隔，獲取所述多個地點上共享物品的特徵分佈。 在同一投放地點上，統計同一使用者連續使用不同共享物品的時間間隔，可獲取該投放地點上共享物品不可用的比例/機率；統計同一共享物品被連續使用的時間間隔，可獲取該投放地點上物品丟失的比例/機率；統計在同一投放點上不同時間段的共享物品的數量以及該地點附近的人流量，可獲取該投放地點上物品被二次使用的比例/機率。其中，所述的連續使用指在時間順序上依次發生的兩次使用。 需要說明的是，在前述確定丟失比例/機率時，對於沒有定位模組（例如GPS模組）的共享物品而言，可通收集使用者的使用記錄來確定。當然，對於有定位模組的共享物品而言，除採用使用者使用記錄來統計之外，還可以直接利用定位模組進行定位以確定丟失的比例。 通過不同的方式採集資料，獲得多種不同的共享物品的特徵分佈，從多個方面反映同一投放地點上共享物品的使用情況，為後續的根據特徵分佈進行評分提供了更全面的參數支持。 作為本說明書實施例的一種可實施方案，所述步驟S205，針對任一使用者，根據已確定的部分或者全部投放地點的評分和該使用者的放置地點資訊，對該使用者進行評估，具體的說，可包括如下實施方式： 步驟S501，針對任一使用者，根據已確定的部分或者全部投放地點的評分，確定該使用者各放置地點的評分。 容易理解，當所述放置地點是所述多個投放地點的子集時，可直接確定所述放置地點的評分。 當所述放置地點只與確定的投放地點有相關性，而不屬於已確定的多個地點時，可以採用某些算法來確定其評分。例如，以距離該放置地點最近的三個投放地點的平均分作為該放置地點的評分。即，對於某一個使用者而言，可能只需要部分投放地點的評分即可確定該使用者的各放置地點的評分。 步驟S503，根據各放置地點的評分和使用者的使用次數，產生該使用者的評估結果。 所述的評估結果可反映使用者的風險程度，對於經常把車停在在損壞比例高、丟失可能性高、二次使用率低的地方的使用者，其風險等級比經常把車停放在有序區域且容易二次使用的地方的使用者高。至於使用者評分和風險等級是正相關還是負相關，可根據評分的規則進行調整，此處不做具體限定。 評估結果可有多種表現形式，以評分為例，可以採用各地點評分之和/總次數來確定某使用者的評分。例如，現已確定某使用者使用次數有10次，對應有4個放置地點，分別為3次地點A，2次地點B、2次地點C以及3次地點D，各放置地點對應的評分分別為4、6、8、10（該評分根據各地點的物品的損壞比例得到，損壞比例越高的評分越高）。則該使用者評分=(3*4+2*6+2*8+3*10)/10=7。 在實際應用中，還可以根據評分進行分級、判斷優劣等等。續前例，若有使用者a至使用者e，其使用者評分分別為4、5、7、9、10，則可以認為使用者a每次都是把物品放置在損壞比例低的地點A，屬於優質使用者，使用者e每次都把物品放置在損壞比例高的地點D，屬於劣質使用者。 作為本說明書實施例的一種可實施方案，在獲取了評估結果後，前述的方法還可包括：根據所述評估結果，向使用者提供指定業務服務。所述的指定業務服務可包括訊息推送、對使用者進行補貼、對使用者進行獎勵/懲罰、限制使用者的部分或全部應用功能等等。所述的補貼方式可包括實際金額補貼（例如：抽獎、立減、打折、返傭、紅包等等）或虛擬權益發放（例如，里程獎勵、使用次數獎勵、等級獎勵、信用分獎勵等等）。 對於所述的評估結果，存在如下應用方式：對滿足一定條件（如評分滿足一定條件、或者判定結果屬於優質使用者）的使用者，在完成一次使用後，對其進行補貼；或者，對滿足一定條件的使用者，直接進行補貼。在採用本說明書的方案確定使用者的評估結果之後，根據各使用者評估結果的不同，給予不同程度的補貼。對於優質使用者，給予較高額度的補貼，從而帶來更多的使用次數；對於劣質使用者給予較低額度的補貼甚至不給補貼，從而可激勵優質使用者進行多次使用。即，激勵使用者將共享物品放至損壞、丟失比例低的投放地點，緩解亂停放、損壞和丟失的可能程度，降低運營成本。 基於同樣的思路，本發明還提供一種針對使用共享物品的使用者評估裝置，如圖6所示，所述裝置包括： 獲取模組601，獲取使用者使用資料，其中，所述使用者使用資料包括使用者使用共享物品之後的放置地點資訊； 確定模組603，確定共享物品的多個投放地點及各投放地點的評分； 評估模組605，針對任一使用者，根據已確定部分或全部投放地點的評分和該使用者的放置地點資訊，對該使用者進行評估。 進一步地，所述獲取模組601，獲取所述多個投放地點上共享物品的特徵分佈，所述確定模組，根據所述特徵分佈，確定所述各投放地點的評分。 進一步地，所述獲取模組601，獲取包含所述多個投放地點的共享物品的特徵資料，根據部分或者全部所述特徵資料，統計獲取所述多個地點上共享物品的特徵分佈，其中，所述特徵資料至少包括共享物品的損壞狀態。 進一步地，所述獲取模組601，獲取所述多個投放地點上，同一使用者連續使用不同共享物品的時間間隔或者同一共享物品被連續使用的時間間隔，根據所述時間間隔，獲取所述多個投放地點上共享物品的特徵分佈。 進一步地，所述評估模組605，針對任一使用者，根據已確定的部分或全部投放地點的評分，確定該使用者各放置地點的評分，根據各放置地點的評分和使用者的使用次數，產生該使用者的評估結果。 進一步地，所述裝置還包括營銷模組607，所述營銷模組607，根據所述評估結果，向使用者提供指定業務服務。 對應的，本申請實施例還提供一種針對使用共享物品的使用者評估設備，所述設備包括： 儲存器，儲存共享物品的使用者評估程式； 處理器，調用儲存器中儲存的共享物品的使用者評估程式，並執行： 獲取使用者使用資料，其中，所述使用記錄包括使用者使用共享物品之後的放置地點資訊； 確定共享物品的多個投放地點及各投放地點評分； 針對任一使用者，根據已確定的部分或者全部投放地點的評分和該使用者的放置地點資訊，對該使用者進行評估。 基於同樣的發明思路，本申請實施例還提供了對應的一種非易失性電腦儲存媒介，儲存有電腦可執行指令，所述電腦可執行指令設置為： 獲取使用者使用資料，其中，所述使用記錄包括使用者使用共享物品之後的放置地點資訊； 確定共享物品的多個投放地點及各投放地點的評分； 針對任一使用者，根據已確定的部分或者全部投放地點的評分和該使用者的放置地點資訊，對該使用者進行評估。 本說明書中的各個實施例均採用遞進的方式描述，各個實施例之間相同相似的部分互相參見即可，每個實施例重點說明的都是與其他實施例的不同之處。尤其，對於裝置、設備和媒介類實施例而言，由於其基本相似於方法實施例，所以描述的比較簡單，相關之處參見方法實施例的部分說明即可，這裡就不再一一贅述。 上述對本說明書特定實施例進行了描述。其它實施例在所附申請專利範圍的範圍內。在一些情況下，在申請專利範圍中記載的動作或步驟或模組可以按照不同於實施例中的順序來執行並且仍然可以實現期望的結果。另外，在圖式中描繪的過程不一定要求示出的特定順序或者連續順序才能實現期望的結果。在某些實施方式中，多任務處理和並行處理也是可以的或者可能是有利的。 在20世紀90年代，對於一個技術的改進可以很明顯地區分是硬體上的改進（例如，對二極體、電晶體、開關等電路結構的改進）還是軟體上的改進（對於方法流程的改進）。然而，隨著技術的發展，當今的很多方法流程的改進已經可以視為硬體電路結構的直接改進。設計人員幾乎都通過將改進的方法流程程式化到硬體電路中來得到相應的硬體電路結構。因此，不能說一個方法流程的改進就不能用硬體實體模組來實現。例如，可程式化邏輯器件（Programmable Logic Device, PLD）（例如現場可程式化閘陣列（Field Programmable Gate Array，FPGA））就是這樣一種積體電路，其邏輯功能由使用者對器件程式化來確定。由設計人員自行程式化來把一個數位系統“整合”在一片PLD上，而不需要請晶片製造廠商來設計和製作專用的積體電路晶片。而且，如今，取代手工地製作積體電路晶片，這種程式化也多半改用“邏輯編譯器（logic compiler）”軟體來實現，它與程式開發撰寫時所用的軟體編譯器相類似，而要編譯之前的原始代碼也得用特定的程式化語言來撰寫，此稱之為硬體描述語言（Hardware Description Language，HDL），而HDL也並非僅有一種，而是有許多種，如ABEL（Advanced Boolean Expression Language）、AHDL（Altera Hardware Description Language）、Confluence、CUPL（Cornell University Programming Language）、HDCal、JHDL（Java Hardware Description Language）、Lava、Lola、MyHDL、PALASM、RHDL（Ruby Hardware Description Language）等，目前最普遍使用的是VHDL（Very-High-Speed Integrated Circuit Hardware Description Language）與Verilog。本領域技術人員也應該清楚，只需要將方法流程用上述幾種硬體描述語言稍作邏輯程式化並程式化到積體電路中，就可以很容易得到實現該邏輯方法流程的硬體電路。 控制器可以按任何適當的方式實現，例如，控制器可以採取例如微處理器或處理器以及儲存可由該（微）處理器執行的電腦可讀程式代碼（例如軟體或韌體）的電腦可讀媒介、邏輯閘、開關、專用積體電路（Application Specific Integrated Circuit，ASIC）、可程式化邏輯控制器和嵌入微控制器的形式，控制器的例子包括但不限於以下微控制器：ARC 625D、Atmel AT91SAM、Microchip PIC18F26K20 以及Silicone Labs C8051F320，儲存器控制器還可以被實現為儲存器的控制邏輯的一部分。本領域技術人員也知道，除了以純電腦可讀程式代碼方式實現控制器以外，完全可以通過將方法步驟進行邏輯程式化來使得控制器以邏輯閘、開關、專用積體電路、可程式化邏輯控制器和嵌入微控制器等的形式來實現相同功能。因此這種控制器可以被認為是一種硬體部件，而對其內包括的用於實現各種功能的裝置也可以視為硬體部件內的結構。或者甚至，可以將用於實現各種功能的裝置視為既可以是實現方法的軟體模組又可以是硬體部件內的結構。 上述實施例闡明的系統、裝置、模組或單元，具體可以由電腦晶片或實體實現，或者由具有某種功能的產品來實現。一種典型的實現設備為電腦。具體的，電腦例如可以為個人電腦、膝上型電腦、蜂窩電話、相機電話、智慧電話、個人數位助理、媒體播放器、導航設備、電子郵件設備、遊戲控制台、平板電腦、可穿戴設備或者這些設備中的任何設備的組合。 為了描述的方便，描述以上裝置時以功能分為各種單元分別描述。當然，在實施本說明書的實施例時可以把各單元的功能在同一個或多個軟體及/或硬體中實現。 本領域內的技術人員應明白，本發明的實施例可提供為方法、系統、或電腦程式產品。因此，本發明可採用完全硬體實施例、完全軟體實施例、或結合軟體和硬體方面的實施例的形式。而且，本發明可採用在一個或多個其中包含有電腦可用程式代碼的電腦可用儲存媒介（包括但不限於磁碟儲存器、CD-ROM、光學儲存器等）上實施的電腦程式產品的形式。 本發明是參照根據本發明實施例的方法、設備（系統）、和電腦程式產品的流程圖及/或方塊圖來描述的。應理解可由電腦程式指令實現流程圖及/或方塊圖中的每一流程及/或方塊、以及流程圖及/或方塊圖中的流程及/或方塊的結合。可提供這些電腦程式指令到通用電腦、專用電腦、嵌入式處理機或其他可程式化資料處理設備的處理器以產生一個機器，使得通過電腦或其他可程式化資料處理設備的處理器執行的指令產生用於實現在流程圖一個流程或多個流程及/或方塊圖一個方塊或多個方塊中指定的功能的裝置。 這些電腦程式指令也可儲存在能引導電腦或其他可程式化資料處理設備以特定方式工作的電腦可讀儲存器中，使得儲存在該電腦可讀儲存器中的指令產生包括指令裝置的製造品，該指令裝置實現在流程圖一個流程或多個流程及/或方塊圖一個方塊或多個方塊中指定的功能。 這些電腦程式指令也可裝載到電腦或其他可程式化資料處理設備上，使得在電腦或其他可程式化設備上執行一系列操作步驟以產生電腦實現的處理，從而在電腦或其他可程式化設備上執行的指令提供用於實現在流程圖一個流程或多個流程及/或方塊圖一個方塊或多個方塊中指定的功能的步驟。 在一個典型的配置中，計算設備包括一個或多個處理器(CPU)、輸入/輸出介面、網路介面和記憶體。 記憶體可能包括電腦可讀媒介中的非永久性儲存器，隨機存取儲存器(RAM)及/或非易失性記憶體等形式，如唯讀儲存器(ROM)或快閃記憶體(flash RAM)。記憶體是電腦可讀媒介的示例。 電腦可讀媒介包括永久性和非永久性、可行動和非可行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。電腦的儲存媒介的例子包括，但不限於相變記憶體(PRAM)、靜態隨機存取儲存器(SRAM)、動態隨機存取儲存器(DRAM)、其他類型的隨機存取儲存器(RAM)、唯讀儲存器(ROM)、電可抹除可程式化唯讀儲存器(EEPROM)、快閃記憶體或其他記憶體技術、唯讀光碟唯讀儲存器(CD-ROM)、數位多功能光碟(DVD)或其他光學儲存、卡式磁帶，磁帶磁磁碟儲存或其他磁性儲存設備或任何其他非傳輸媒介，可用於儲存可以被計算設備存取的資訊。按照本文中的界定，電腦可讀媒介不包括暫存電腦可讀媒體(transitory media)，如調變的資料信編號和載波。 還需要說明的是，術語“包括”、“包含”或者其任何其他變體意在涵蓋非排他性的包含，從而使得包括一系列要素的過程、方法、商品或者設備不僅包括那些要素，而且還包括沒有明確列出的其他要素，或者是還包括為這種過程、方法、商品或者設備所固有的要素。在沒有更多限制的情況下，由語句“包括一個……”限定的要素，並不排除在包括所述要素的過程、方法、商品或者設備中還存在另外的相同要素。 本領域技術人員應明白，本說明書中一個或多個的實施例可提供為方法、系統或電腦程式產品。因此，本說明書的實施例可採用完全硬體實施例、完全軟體實施例或結合軟體和硬體方面的形式。而且，本說明書的實施例可採用在一個或多個其中包含有電腦可用程式代碼的電腦可用儲存媒介（包括但不限於磁碟儲存器、CD-ROM、光學儲存器等）上實施的電腦程式產品的形式。 本說明書的實施例可以在由電腦執行的電腦可執行指令的一般上下文中描述，例如程式模組。一般地，程式模組包括執行特定事務或實現特定抽象資料類型的例程、程式、對象、組件、資料結構等等。也可以在分布式計算環境中實踐本說明書的實施例，在這些分布式計算環境中，由通過通信網路而被連接的遠程處理設備來執行事務。在分布式計算環境中，程式模組可以位於包括儲存設備在內的本地和遠程電腦儲存媒介中。 本說明書中的各個實施例均採用遞進的方式描述，各個實施例之間相同相似的部分互相參見即可，每個實施例重點說明的都是與其他實施例的不同之處。尤其，對於系統實施例而言，由於其基本相似於方法實施例，所以描述的比較簡單，相關之處參見方法實施例的部分說明即可。 以上所述僅為本說明書的實施例而已，並不用於限制本申請。對於本領域技術人員來說，本說明書的實施例可以有各種更改和變化。凡在本說明書的實施例的精神和原理之內所作的任何修改、等同替換、改進等，均應包含在本申請的權利範圍之中。In order to make the purpose, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art without making progressive labor fall within the protection scope of this application. Based on the foregoing, the shared items may include shared bicycles, shared electric vehicles, shared umbrellas, shared power banks, shared books, and so on. The placement location is usually a certain area determined in advance by the management party, and items in the same area will be considered to be at the same placement location. The placement location is usually one or more placement locations, or the placement location is not the placement location, but there is a certain relationship between the placement location and the placement location (for example, the placement location and a placement location belong to Same residential area). The placement location described can be obtained directly from the user's usage data. Generally, after every time the user uses the shared item and places it, through the client provided by the shared item manager (the client is usually installed and run in the terminal used by the user), the location information at the end of use can be obtained , Write the user's usage record and upload it to the server of the shared item manager (which can include: server). For example, the location information at the end can be obtained through the positioning module in the user terminal, such as GPS (Global Positioning System) module, LBS (Location Based Service) module, etc. In other words, the place where the use ends can be regarded as the place where the user uses the shared item. The characteristic data of the shared items can usually be obtained from offline collection, and may include the aforementioned placement location and the usage status of the shared item at the placement location. Among them, the use status of the shared item may include whether the shared item is damaged, whether it is randomly stopped, whether it is lost, secondary usage, etc., and the characteristic distribution of the shared item may include the damage ratio/probability of the shared item, and the random parking ratio/ Probability, loss ratio/probability, secondary use ratio/probability, etc. In the embodiment of this specification, the data processing method may adopt the architecture shown in FIG. 1. In the architecture, the evaluation device may be various clustered/distributed servers, processors, etc., In actual application scenarios, the evaluation device may belong to a shared item manager, or may belong to an independent third-party evaluation agency, which does not constitute a limitation on this application. The following will describe in detail the data processing process provided by the embodiment of this specification based on the architecture shown in Figure 1. The process specifically includes the following steps, as shown in Figure 2: Step S201, obtaining user usage data, wherein the The user usage data includes at least the placement location information after the user uses the shared item. In practical applications, every time a user uses a shared item, user usage data will be generated. In the embodiments of this specification, the user usage data can be obtained through real-time acceptance (for example, the user usage data can be received in real time through the business server of the business party and forwarded to the evaluation device), or it can be obtained in advance User history data. The user usage data records the user's usage, that is, each usage record usually includes the user's ID, the time and place of the start of use, the time and place of the end of the use, and so on. The place where the use ends is considered to be the place where the shared item is placed after the user uses it. Step S203, determine multiple placement locations and scores for each placement location. As mentioned above, in practical applications, the shared item manager can usually designate multiple fixed locations as the place to place the shared items, and the area within a certain range near each place is recognized as the same place. For example, specify the area within a circle with a certain subway exit as the center and a radius of 50 meters as the same placement location. As a method in the embodiment of this specification, the score can be directly given based on experience, for example, directly assign a certain subway exit to score 10 points, a certain shopping mall exit to 8 points, a certain park nearby to 2 points, and so on. As another way in the embodiment of the present specification, it is also possible to determine the score of the designated placement location by using data statistics, using a certain algorithm or model, and the specific implementation will be described in detail later. Step S205, for any user, evaluate the user based on the scores of part or all of the determined placement locations and the placement location information of the user. As mentioned earlier, the placement location can be a subset of the multiple placement locations or related to the placement location, so that each placement location can calculate its own corresponding score, and then for each user, it can get its share The scores corresponding to the multiple placement locations of the items are scored by multiple methods such as summation, average value, etc., so as to perform evaluation operations such as rating and judging the pros and cons of the user. In this process, for a user, it may only need to use the scores of part of the placement location, but for a large number of users, the scores of each placement location will be used. In the examples of this specification, each placement location and its score are determined. Combined with user usage data including placement location information, the user can be evaluated. In this way, the management party of the shared item has a better understanding of its users, which is conducive to the management party of the shared item to further carry out marketing and management services based on the evaluation results. In an embodiment of this specification, in the step S203, determining the score of each placement location can be implemented in the following manner, as shown in Figure 3: Step S301, acquiring the feature distribution of the shared items on the multiple placement locations . As mentioned above, the characteristic distribution of shared items may include the damage ratio/probability of the shared item, random stop ratio/probability, loss ratio/probability, secondary use ratio/probability, and so on. It can be achieved through two parts: offline collection and online collection, and the specific method will be described in detail later. "Step S303: Determine the scores of the multiple placement locations according to the feature distribution. Since there are usually multiple feature distributions obtained, and they are usually in the form of proportion or probability, in practical applications, the feature distribution can be normalized to make it more suitable for operation and more intuitively show that a certain In terms of feature distribution, the relative position of the placement location in the whole is shown in Figure 4. For example, it has been determined that the percentage of damage to a shared bicycle is 10% at the placement location A, 20% at the location B, 40% at the location C, 50% at the location D, and 60% at the location E. The aforementioned damage ratio is normalized, and for the characteristic distribution of damage ratio, the corresponding values of location A to location E are: 0, 0.2, 0.6, 0.8, and 1, respectively. The normalized value can also be scaled up or down to generate a score, which more intuitively shows the relative position of the damage of each point in the whole. Furthermore, each feature distribution can be normalized, and the weight of each feature distribution can be set, and calculation methods such as weighted summation and weighted average can be performed on the aforementioned multiple normalized values. Places are scored. In the above scheme, the scoring is based on the feature distribution of the shared items, so that the scoring of the placement location is more in line with the actual situation, and can be corrected in time according to the change of the feature distribution at any time. In another embodiment of this specification, the step S301, acquiring the feature distribution of the shared items on the multiple placement locations, may include the following two implementation forms: One, through offline collection, including acquiring According to the feature data of the shared items at the multiple placement locations, the feature distribution of the shared items at the multiple locations is calculated based on part or all of the feature data, where the feature data includes at least the damage state of the shared items. This method can usually obtain the damage ratio of the shared items at each placement location or the ratio/probability of random parking (that is, the ratio of not parked within the designated placement location), etc. The second, through the online collection method, can be based on the user's usage data , Determine the time interval during which different shared items are continuously used by the same user at the same location or the time interval during which the same shared item is continuously used, and obtain the characteristic distribution of shared items at the multiple locations according to the time interval. In the same place, count the time intervals of the same user using different shared items continuously to get the proportion/probability of the shared items unavailable at the place; count the time intervals of the same shared items being used continuously to get the place Proportion/probability of missing items on the list; count the number of shared items at different time periods at the same placement point and the flow of people near the location, and obtain the ratio/probability of items on the placement location being used again. Wherein, the continuous use refers to two uses that occur sequentially in chronological order. It should be noted that when determining the loss ratio/probability mentioned above, for shared items without a positioning module (such as a GPS module), it can be determined by collecting the user's usage records. Of course, for shared items with a positioning module, in addition to using user usage records for statistics, the positioning module can also be directly used for positioning to determine the proportion of loss. Collect data in different ways to obtain the feature distribution of a variety of different shared items, reflect the use of shared items at the same placement location from multiple aspects, and provide more comprehensive parameter support for subsequent scoring based on the feature distribution. As an implementable solution of the embodiment of this specification, in step S205, for any user, the user is evaluated according to the scores of part or all of the placement locations that have been determined and the placement location information of the user. In other words, the following implementation manners may be included: Step S501, for any user, determine the score of each placement location of the user according to the score of some or all of the determined placement locations. "It is easy to understand that when the placement location is a subset of the multiple placement locations, the score of the placement location can be directly determined. When the placement location is only related to the determined placement location and does not belong to multiple locations that have been determined, certain algorithms can be used to determine its score. For example, the average score of the three placement locations closest to the placement location is used as the score of the placement location. That is, for a certain user, it may only need the scores of part of the placement locations to determine the scores of the placement locations of the user. Step S503, based on the score of each placement location and the user's usage frequency, an evaluation result of the user is generated. The evaluation results can reflect the user’s risk level. For users who often park their cars in places with a high damage rate, high possibility of loss, and low secondary usage, the risk level is higher than that of frequent parking. There are high users in areas where it is easy to use for the second time. As for whether the user score and the risk level are positively correlated or negatively correlated, it can be adjusted according to the scoring rules, and there is no specific limitation here. Evaluation results can have a variety of forms. Taking the score as an example, you can use the sum/total number of points to determine a user’s score. For example, it has been determined that a user has used 10 times, corresponding to 4 placement locations, namely 3 locations A, 2 locations B, 2 locations C, and 3 locations D. Each location has a corresponding score It is 4, 6, 8, 10 (the score is obtained according to the damage ratio of the items in each location, the higher the damage ratio, the higher the score). Then the user score = (3*4+2*6+2*8+3*10)/10=7. In practical applications, you can also classify according to the score, judge the pros and cons, and so on. Continuing the previous example, if there are user a to user e, and their user scores are 4, 5, 7, 9, and 10 respectively, it can be considered that user a places items in a location A with a low damage rate every time. It belongs to a high-quality user, and user e places an item in a location D with a high percentage of damage every time, and belongs to a low-quality user. As an implementable solution of the embodiment of this specification, after obtaining the evaluation result, the aforementioned method may further include: providing a designated business service to the user based on the evaluation result. The specified business services may include message push, subsidies to users, rewards/punishments to users, restrictions on part or all of the application functions of users, and so on. The subsidy method can include actual amount subsidy (for example: lottery, discount, discount, commission rebate, red envelopes, etc.) or virtual rights distribution (for example, mileage rewards, usage times rewards, level rewards, credit rewards, etc.) . For the evaluation results, there are the following application methods: for users who meet certain conditions (for example, the score meets certain conditions, or the judgment result belongs to high-quality users), after completing one use, they will be subsidized; or Users with certain conditions are directly subsidized. After the user's evaluation results are determined using the program of this manual, different levels of subsidies will be given according to the different evaluation results of each user. For high-quality users, a higher amount of subsidy is given, which brings more usage times; for inferior users, a lower amount of subsidy or even no subsidy is given, which can encourage high-quality users to use it multiple times. In other words, users are encouraged to put shared items in places where the proportion of damage and loss is low, so as to alleviate the possibility of random parking, damage and loss, and reduce operating costs. Based on the same idea, the present invention also provides a user evaluation device for using shared items. As shown in FIG. 6, the device includes: acquisition module 601, which acquires user usage data, wherein the user usage data Including the placement location information after the user uses the shared item; determination module 603, which determines multiple placement locations of the shared item and the score of each placement location; evaluation module 605, for any user, according to the determined part or all of the placement The score of the location and the location information of the user are evaluated for the user. "Furthermore, the acquisition module 601 acquires the feature distribution of the shared items on the multiple placement locations, and the determination module determines the score of each placement location based on the feature distribution. Further, the acquisition module 601 acquires feature data of shared items including the multiple placement locations, and statistically acquires the feature distribution of the shared items at the multiple locations based on part or all of the feature data, wherein: The characteristic data includes at least the damage status of the shared item. Further, the obtaining module 601 obtains the time interval during which the same user continuously uses different shared items or the time interval during which the same shared item is continuously used in the multiple placement locations, and obtains the time interval according to the time interval. The distribution of characteristics of shared items on multiple placement locations. Further, the evaluation module 605, for any user, determines the score of each placement location of the user according to the scores of some or all of the determined placement locations, based on the scores of each placement location and the number of times the user has used it. To produce the user’s evaluation result. Further, the device further includes a marketing module 607, and the marketing module 607 provides users with designated business services based on the evaluation result. Correspondingly, an embodiment of the present application also provides a user evaluation device for using shared items. The device includes: storage, a user evaluation program for storing shared items; processor, calling the use of shared items stored in the storage User evaluation program and execute: obtain user usage data, where the usage record includes information on the placement location of the shared item after the user uses it; determine multiple placement locations of the shared item and score for each placement location; for any user , To evaluate the user based on the scores of some or all of the determined placement locations and the user’s placement location information. Based on the same inventive idea, the embodiment of the present application also provides a corresponding non-volatile computer storage medium storing computer executable instructions. The computer executable instructions are set to: obtain user usage data, wherein the The usage record includes the information on the place where the shared item is placed after the user uses it; determines multiple placement locations of the shared item and the score of each placement location; for any user, based on the scores of some or all of the placement locations determined and the user The placement location information for the user is evaluated. Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the difference from other embodiments. In particular, for the device, equipment, and media embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For related parts, please refer to the part of the description of the method embodiments, which will not be repeated here. The specific embodiments of this specification are described above. Other embodiments are within the scope of the attached patent application. In some cases, the actions or steps or modules described in the scope of the patent application may be executed in a different order than in the embodiments and still achieve desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown in order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous. In the 1990s, the improvement of a technology can be clearly distinguished from the improvement of the hardware (for example, the improvement of the circuit structure of diodes, transistors, switches, etc.) or the improvement of the software (for the process of the method). Improve). However, with the development of technology, the improvement of many methods and processes of today can be regarded as a direct improvement of the hardware circuit structure. Designers almost always get the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be realized by the hardware entity module. For example, Programmable Logic Device (PLD) (such as Field Programmable Gate Array (FPGA)) is such an integrated circuit whose logic function is determined by the user programming the device . It is programmed by the designer to "integrate" a digital system on a PLD, without requiring the chip manufacturer to design and manufacture a dedicated integrated circuit chip. Moreover, nowadays, instead of manually making integrated circuit chips, this programming is mostly realized by using "logic compiler" software, which is similar to the software compiler used in program development and writing. The original code before compilation must also be written in a specific programming language, which is called Hardware Description Language (HDL), and there is not only one HDL, but many, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc., Currently the most commonly used are VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog. It should also be clear to those skilled in the art that only need to logically program the method flow in the above-mentioned hardware description languages and program it into an integrated circuit, the hardware circuit that implements the logic method flow can be easily obtained. The controller can be implemented in any suitable manner. For example, the controller can be a microprocessor or a processor and a computer readable program code (such as software or firmware) that can be executed by the (micro) processor. Media, logic gates, switches, application specific integrated circuits (ASIC), programmable logic controllers and embedded microcontrollers. Examples of controllers include but are not limited to the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicon Labs C8051F320, the memory controller can also be implemented as part of the memory control logic. Those skilled in the art also know that in addition to implementing the controller in a purely computer-readable program code manner, it is entirely possible to program the method steps in logic to enable the controller to be controlled by logic gates, switches, dedicated integrated circuits, and programmable logic. The same function can be realized in the form of an embedded micro-controller, etc. Therefore, such a controller can be regarded as a hardware component, and the devices included in it for realizing various functions can also be regarded as a structure within the hardware component. Or even, the device for realizing various functions can be regarded as both a software module for realizing the method and a structure within a hardware component. The system, device, module or unit explained in the above embodiments can be implemented by a computer chip or entity, or by a product with a certain function. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cell phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or Any combination of these devices. For the convenience of description, when describing the above device, the functions are divided into various units and described separately. Of course, when implementing the embodiments of this specification, the functions of each unit can be implemented in the same or multiple software and/or hardware. "A person skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware. Moreover, the present invention can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. . "The present invention is described with reference to flowcharts and/or block diagrams of methods, equipment (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and/or block in the flowchart and/or block diagram, and the combination of processes and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, dedicated computers, embedded processors, or other programmable data processing equipment to generate a machine that can be executed by the processors of the computer or other programmable data processing equipment A device for realizing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram is generated. These computer program instructions can also be stored in a computer-readable storage that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable storage produce a manufactured product including the instruction device , The instruction device realizes the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram. These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operating steps are performed on the computer or other programmable equipment to generate computer-implemented processing, so that the computer or other programmable equipment The instructions executed above provide steps for implementing functions specified in a flow or multiple flows in the flowchart and/or a block or multiple blocks in the block diagram. In a typical configuration, the computing device includes one or more processors (CPU), input/output interfaces, network interfaces, and memory. Memory may include non-permanent storage in computer-readable media, random access storage (RAM) and/or non-volatile storage, such as read-only storage (ROM) or flash memory ( flash RAM). Memory is an example of computer readable media. Computer-readable media includes permanent and non-permanent, movable and non-movable 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 Optical discs (DVD) or other optical storage, cassette tapes, 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 signal numbers and carrier waves. It should also be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or equipment including a series of elements not only includes those elements, but also includes Other elements that are not explicitly listed, or they also include elements inherent to such processes, methods, commodities, or equipment. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, commodity, or equipment that includes the element. "A person skilled in the art should understand that one or more of the embodiments in this specification can be provided as a method, a system, or a computer program product. Therefore, the embodiments of this specification may adopt a completely hardware embodiment, a completely software embodiment, or a form of combining software and hardware. Moreover, the embodiments of this specification can adopt computer programs implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The form of the product. "The embodiments of this specification can be described in the general context of computer-executable instructions executed by a computer, such as a program module. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific transactions or implement specific abstract data types. The embodiments of this specification can also be practiced in distributed computing environments. In these distributed computing environments, remote processing devices connected through a communication network execute transactions. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices. Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the difference from other embodiments. In particular, as for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment. The above descriptions are only examples of this specification, and are not intended to limit this application. For those skilled in the art, the embodiments of this specification can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of this specification should be included in the scope of rights of this application.
