201044309 六、發明說明： 【發明所屬之技術領域】 本申請關於電腦網路技術領域，尤其關於用戶訪問網 頁行爲的視覺化處理方法、裝置及系統。 【先前技術】 從企業網站建設的目的來看，企業的網站是企業宣傳 g 展示公司產品和/或進行網上貿易的重要平臺。然而現實 情況是大部分企業對於這個平臺的效果沒有直觀清晰的認 識’對於網站上展示的每個產品受關注情況更是無從知曉 ’這樣的情況持續下去必將導致企業決策者在制定產品銷 售和宣傳策略時缺少強有力的支援，使得決策的準確性、 及時性等都大打折扣。 目前可以通過很多方式實現對企業網站的資訊關注度 的統計’比如通過解析網站的日誌資料然後匯總分析、也 Q 可以使用第三方軟體來進行統計、甚至可以直接在網頁上 添加跟蹤代碼來進行統計分析等等，但目前這些方式所得 到的結果通常只是對整個網站或個別網頁受關注情況的統 計分析，而無法針對網頁中的某一區域，如網頁中展示的 某個產品’是否受到關注進行統計分析，因此，這些方式 除了帶給決策者死板的資料外就是給決策者帶來的面對這 些資料的莫大的痛苦。 也就是說，目前這些方式的缺點是非常明顯的：不直 觀、不明了，對資料報表的閱讀者也提出了很高的要求。 -5- 201044309 並且’報表資料脫離了產品展示的平臺，從而將產品關注 度與產品展示平臺之間的關係隔離開來了，最終導致決策 偏差甚至錯誤。 【發明內容】 本申請實施例提供一種用戶訪問網頁行爲的視覺化處 理方法，用以將用戶對網頁中內容的關注程度與網頁中相 應內容之間的關係緊密聯繫起來，直觀、明瞭地顯示用戶 對網頁中內容的關注程度，該方法包括： 採集用戶端的滑鼠點擊資料； 根據採集的該滑鼠點擊資料，統計用戶對網頁中各區 域的訪問次數；以及，將用戶對網頁中各區域的訪問次數 與相應的區域相匹配； 顯示匹配結果。 較佳的’該採集用戶端的滑鼠點擊資料之前，還包括 在網頁中埋設javascript代碼；根據用戶的滑鼠點擊行 爲觸發onMouseDown事件，在onMouseDown事件中添加腳 本捕捉用戶端的滑鼠點擊資料，並通過httpRequest物件上 報用戶端的滑鼠點擊資料。 較佳的，該根據採集的滑鼠點擊資料進行該統計，包 括： 獲取採集的滑鼠點擊資料並進行匯總分析，根據滑鼠 點擊資料中的點擊位置參數形成各區域的點擊資料集，該 -6- 201044309 點擊資料集中包括用戶對網頁中各區域的訪問次數。 較佳的，該對滑鼠點擊資料進行匯總分析，包括： 若根據滑鼠點擊資料中用戶IP位址、cookie及點擊位 置參數，確定用戶重複點擊相同區域內容，則在形成該點 擊資料集時，不將重複次數計入該點擊資料集中用戶對網 頁中相應區域的訪問次數。 較佳的，該根據滑鼠點擊資料中的點擊位置參數形成 ^ 各區域的點擊資料集，包括： 生成空白圖片，還原滑鼠點擊資料中的點擊位置參數 並與該空白圖片相匹配； 匹配時使用預設的單位點擊效果圖標識用戶的每一個 滑鼠點擊行爲，直至完成各區域的點擊資料集建模，在該 空白圖片基礎上形成點擊資料建模圖。 較佳的，該將用戶對網頁中各區域的訪問次數與相應 的區域相匹配，包括： Q 將該點擊資料建模圖進行格式轉換；其中，根據用戶 對網頁中各區域的訪問次數的不同，將轉換後的圖片分成 不同的顏色區域。 較佳的，將該點擊資料建模圖進行格式轉換之後，進 一步包括對轉換後的圖片進行透明化處理。 較佳的，該顯示匹配結果，包括： 在該網頁上添加javascript腳本，通過新建—個層，將 透明化處理後的圖片下載、覆蓋於該網頁上並顯示。 本申請實施例還提供一種用戶訪問網頁行爲的視覺化 201044309 處理裝置，用以將用戶對網頁中內容的關注程度與網頁中 相應內容之間的關係緊密聯繫起來，直觀、明瞭地顯示用 戶對網頁中內容的關注程度，該裝置包括： 統計模組，用於根據用戶端的滑鼠點擊資料，統計用 戶對網頁中各區域的訪問次數，該各區域根據網頁中的內 容進行劃分； 匹配模組，用於將用戶對網頁中各區域的訪問次數與 相應的區域相匹配； 顯示模組，用於顯示匹配結果。 較佳的，該統計模組包括： 獲取單元，用於獲取用戶端的滑鼠點擊資料； 計算單元，用於對滑鼠點擊資料進行匯總分析，根據 滑鼠點擊資料中的點擊位置參數形成各區域的點擊資料集 ，該點擊資料集中包括用戶對網頁中各區域的訪問次數。 較佳的，該計算單元進一步用於： 根據滑鼠點擊資料中用戶IP位址、cookie及點擊位置 參數，確定用戶重複點擊相同區域內容，則在形成該點擊 資料集時，不將重複次數計入該點擊資料集中用戶對網頁 中相應區域的訪問次數。 較佳的，該計算單元進一步用於： 生成空白圖片，還原滑鼠點擊資料中的點擊位置參數 並與該空白圖片相匹配： 匹配時使用預設的單位點擊效果圖標識用戶的每一個 滑鼠點擊行爲，直至完成各區域的點擊資料集建模，在該 -8- 201044309 空白圖片基礎上形成點擊資料建模圖。 較佳的，該匹配模組進一步用於： 將該點擊資料建模圖進行格式轉換；其中，根據用戶 對網頁中各區域的訪問次數的不同，將轉換後的圖片分成 不同的顏色區域。 較佳的，該匹配模組進一步用於：對格式轉換後的圖 片進行透明化處理。 較佳的，該顯示模組進一步用於： 在該網頁上添加javascript腳本，通過新建一個層，將 透明化處理後的圖片下載、覆蓋於該網頁上並顯示。 本申請實施例還提供一種用戶訪問網頁行爲的視覺化 處理系統，用以將用戶對網頁中內容的關注程度與網頁中 相應內容之間的關係緊密聯繫起來，直觀、明瞭地顯示用 戶對網頁中內容的關注程度，該系統包括： 資料獲取伺服器，用於採集用戶端的滑鼠點擊資料； 資料分析伺服器，用於根據資料獲取伺服器採集的滑 鼠點擊資料，統計用戶對網頁中各區域的訪問次數，該各 區域根據網頁中的內容進行劃分；以及，將用戶對網頁中 各區域的訪問次數與相應的區域相匹配； 第一網站伺服器，用於顯示資料分析伺服器的匹配結 果。 較佳的，還包括： 第二網站伺服器，用於捕捉用戶端的滑鼠點撃資料並 向資料獲取伺服器上報。 -9- 201044309 本申請實施例中，採集用戶端的滑鼠點擊資料；根據 採集的該滑鼠點擊資料，統計用戶對網頁中各區域的訪問 次數；以及’將用戶對網頁中各區域的訪問次數與相應的 區域相匹配；顯示匹配結果，從而通過視覺化方式呈現用 戶對網頁中內容的訪問行爲，使用戶對網頁中內容的關注 程度直觀、明瞭，並且，通過將用戶對網頁中各區域的訪 問次數與相應的區域相匹配，也將用戶對網頁中內容的關 注程度與網頁中相應內容之間的關係緊密聯繫起來，有利 於網站決策者後續根據用戶對網頁的訪問行爲進行方便、 準確地決策。 【實施方式】 本申請實施例在傳統統計方法的基礎上對資料予以建 模和視覺化實現’將死板的資料以直觀的方式展現給決策 者，簡潔、明瞭、快捷、方便。 如圖1所示，本申請實施例中，用戶訪問網頁行爲的 視覺化處理方法處理流程可以包括： 步驟101、採集用戶端的滑鼠點擊資料。 步驟1 02、根據採集的該滑鼠點擊資料，統計用戶對 網頁中各區域的訪問次數。其中，網頁中各區域可以有多 種劃分方式，例如根據位置進行劃分、根據內容進行劃分 等。在根據內容進行劃分時也可以有多種方式，例如一個 網頁中包含新聞內容、娛樂內容、教育內容，則可以將該 網頁劃分爲新聞區域、娛樂區域、教育區域；又如若一個 -10- 201044309 網頁用於展示不同的商品，則可以按所展示不同 爲不同區域；再如一個網頁若展示有若干條鏈結 條鏈結可劃分爲一個區域。 步驟1 〇 3、將用戶對網頁中各區域的訪問次 的區域相匹配。 步驟104、顯示匹配結果。 圖1所示流程中的各步驟可由同一實體實施 g 不同實體實施，視實際需要而定。例如在一個實 由一資料獲取伺服器實施步驟101，即由該資料 器採集用戶端的滑鼠點擊資料，由一資料分析伺 步驟1 02- 1 03，即由該資料分析伺服器根據前述 伺服器採集的該滑鼠點擊資料，統計用戶對網頁 的訪問次數；以及，將用戶對網頁中各區域的訪 相應的區域相匹配；由一網站伺服器，如稱之爲 伺服器實施步驟1 04，即由該第一網站伺服器顯 Q 料分析伺服器的匹配結果。本例中引入的各步驟 :資料獲取伺服器、資料分析伺服器、第一網站 爲一例’實施中不排除由其他的一個或多個實體 明方案。在下面的實施例描述中，暫以本例爲例 〇 一個實施例中’可以通過捕捉包括有點擊位 滑鼠點擊資料’根據滑鼠點擊資料進行用戶對網 域的訪問次數的統計。則在執行步驟i 0 1之前， 捉滑鼠點擊資料，例如可以由另一設備，如另一 商品劃分 ，則每一 數與相應 ，也可由 施例中， 獲取伺服 服器實施 資料獲取 中各區域 問次數與 第一網站 示前述資 實施主體 伺服器僅 實現本發 進行說明 置參數的 頁中各區 可以先捕 網站伺服 -11 - 201044309 器（如稱爲第二網站伺服器）來實施，其方式可以有多種 ，例如，在網頁中埋設j a v a s c r i p t代碼以實現前述捕捉的功 能。舉一例，在網頁中埋設j a v a s c r i p t代碼之後，根據用戶 的滑鼠點擊行爲觸發onMouseDown事件；在onMouseDown 事件中添加腳本捕捉滑鼠點擊資料；通過httpRequest物件 向資料獲取伺服器上報滑鼠點擊資料。 其中，滑鼠點擊資料可以包括點擊位置參數，也可以 包含其他能夠反映用戶點擊具體情況的資料，例如，滑鼠 點擊的相應鏈結、螢幕解析度、用戶IP位址、cookie等相 關資料。 以由第二網站伺服器捕捉滑鼠點擊資料爲例，實施中 ，第二網站伺服器將滑鼠點擊資料上報給資料獲取伺服器 後，資料獲取伺服器可將該滑鼠點擊資料進行儲存，儲存 時可以以某種固定格式保存，方便後續資料分析伺服器進 行提取和分析，例如採用如下的資料格式進行保存： X=100Y = 200dx=1024dy = 768URL = www.alisoft.com 其中，X爲滑鼠點擊位置距離頁面最左端的距離；γ 爲滑鼠點擊位置距離頁面頂端的距離；dx爲該頁面的最大 寬度（可通過javascript獲取頁面屬性値獲得）；dy爲該頁 面的最大高度（可通過javascript獲取頁面屬性値獲得）； URL爲滑鼠點擊所在頁面的位址。 實施中，在資料獲取伺服器上可以設置一個日誌檔， -12- 201044309 這個日誌檔每一行記錄的就是一個點擊行爲，例如以前面 例子中的資料格式記錄，其中的“=”號是這個格式的一 部分，沒有特殊的意義’也可以使用“：”替代’這個記 錄解析出來的含義是用戶點擊了那個頁面 “ URL = www.alisoft.com 頁面大小（dx=1024 頁面寬， dy = 768頁面高度），滑鼠點擊的位置如何（X=l〇〇距離頁 面左側的距離Y = 200距離頁面頂部的距離）’ X和Y的値是 根據滑鼠點擊的實際位置來記錄的，至於X是Υ的多少倍 這個視實際的資料而定。 一個實施例中，資料分析伺服器根據滑鼠點擊資料進 行用戶對網頁中各區域的訪問次數的統計時，可以包括： 資料分析伺服器獲取資料獲取伺服器採集的滑鼠點擊資料 並進行匯總分析，根據滑鼠點擊資料中的點擊位置參數形 成各區域的點擊資料集，該點擊資料集中包括用戶對網頁 中各區域的訪問次數。 實施中對滑鼠點擊資料進行匯總分析時，可以按滑鼠 點擊數來統計或按獨立用戶來統計（類似於流量統計裏的 PV和UV )。若是按滑鼠點擊數來統計每一次的滑鼠點擊 行爲，則一個用戶點擊多次也會計算多次；若是按獨立用 戶來統計，則一個用戶點擊多次隻算一次不會重複計算， 相當於統計人頭數。實現時可以根據用戶選擇生成不同的 統計代碼，按獨立用戶統計的方式會比按滑鼠點擊數統計 的方式增加一個獨立用戶判斷的機制，這個機制可以是通 過用戶IP位址判斷結合cookie的方式，即：若第二網站伺 -13- 201044309 服器根據滑鼠點擊資料中用戶IP位址、CO Okie及點擊位置 參數，確定用戶重複點擊相同區域內容，則在形成該點擊 資料集時，不將重複次數計入該點擊資料集中用戶對網頁 中相應區域的訪問次數。例如，如果IP相同但cookie不同 ，則可以認爲是不同的用戶（可理解爲不同的用戶使用同 —用戶端設備存取網路），IP不同則可以認爲是不同用戶 〇 一個實施例中，資料分析伺服器根據滑鼠點擊資料中 的點擊位置參數形成各區域的點擊資料集時，可以包括： 資料分析伺服器生成空白圖片，還原滑鼠點擊資料中 的點擊位置參數，即在獲得的點擊資料基礎上進行點擊位 置等資料還原，將點擊位置參數與該空白圖片相匹配；其 中，生成空白圖片的一個具體實施例可以包括：預設一張 空白的png格式圖片檔，根據滑鼠點擊資料中包含的頁面 實際大小動態調整這個Pn g格式圖片檔的大小’例如在則 面例子中的資料格式中，dx=l〇24頁面寬，dy = 768頁面高 度’可用於生成空白頁面。在大小調整之後使用JAV A編 程語言對圖片進行解碼和重新編碼即可。將點擊位置參數 與生成的空白圖片相匹配的一個具體實施例可以包括：在 已調整好大小的空白圖片上進行描點’解析滑鼠點擊資料 ，還原點擊位置資料，按點擊位置資料在空白圖片上相應 位置描點。仍例如在前面例子中的資料格式中，滑鼠點擊 的位置X = 100距離頁面左側的距離Y = 200距離頁面頂部的 距離，可用於描點。實施中若之前按一種固定的預先定義 -14- 201044309 好的格式記錄了滑鼠點擊資料，那麼解析出點擊位置參數 的過程遵守同樣的規則進行解析，最終還原各資料項目， 爲後續的建模做準備： 匹配時使用預設的單位點擊效果圖標識用戶的每一個 滑鼠點擊行爲’直至完成各區域的點擊資料集建模，在該 空白圖片基礎上形成點擊資料建模圖。一個具體實例中， 匹配時按點擊位置資料在空白圖片上相應位置描點的方式 可以有多種，例如使用預設的單位點擊效果圖標識用戶的 每一個滑鼠點擊行爲’具體如：將設計了一個點的png圖 片保存在伺服器上，每次描點就是將這個png圖片複製到 相應的位置。最終建模形成的點擊資料建模圖是在和頁面 大小一致的空白圖片上將用戶的滑鼠點擊資料按照點擊位 置資料用單位點擊效果圖進行描點後的結果，直觀的效果 是空白頁面上有密密麻麻的點（當然也可能很稀疏，視頁 面的實際點擊資料而定）。 在完成訪問次數的統計之後，資料分析伺服器將各區 域的訪問次數與相應的區域相匹配，供第一網站伺服器顯 示匹配結果。顯示匹配結果時可以用圖片、資料、文本等 方式，本申請對此並不做限定。例如以資料或文本方式將 各區域的訪問次數插入網頁中相應的區域；又如，在以圖 片方式顯示時： 資料分析伺服器在完成點擊資料集建模之後，將點擊 資料建模圖進行格式轉換；其中，根據用戶對網頁中各區 域的訪問次數的不同，將轉換後的圖片分成不同的顏色區 -15- 201044309 域。即，轉換後的圖形將根據點擊的密集程度分成不同的 顏色區域，例如，點擊越密集的地方顏色將越鮮豔，相反 點擊稀疏的地方顏色相應的要淡一些。後續第一網站伺服 器即可將轉換後的圖片顯示出。 爲了更清楚地呈現用戶訪問行爲的視覺化效果，資料 分析伺服器將該點擊資料建模圖進行格式轉換之後，可以 將轉換後的圖片進行透明化處理。 實施中可以採用JAVA語言對圖片進行解碼，然後修 改相應的屬性重新編碼即可完成圖片處理，包括進行大小 轉化、格式轉化、顏色變化等處理，當然圖片的透明化處 理也一樣，實現起來簡單方便。如果是圖片爲png格式， 還可以使用JavaScript結合樣式表（CSS)的形式予以解決 ，實現起來也較簡單，爲了減輕用戶端流覽器的負擔，可 以將透明化處理過程放在伺服器端處理。前述透明化處理 主要是爲後續展現過程服務，我們最終是希望將這個生成 的圖片直接置於網頁之上，透明的效果可以非常清楚的看 到背後對應的網頁中內容資訊。進行顯示處理時，可以在 該網頁上添加javascript腳本，通過新建一個層，將透明化 處理後的圖片下載、覆蓋於網頁上並顯示。 如圖2所示，一個具體實例中，資料分析伺服器整個 對滑鼠點擊資料的分析和建模的過程可以包括： 步驟201、讀取用戶滑鼠點擊資料記錄檔； 步驟202、判斷是否讀取成功，若是，則執行步驟203 ，否則結束處理； -16- 201044309 步驟203、解析用戶滑鼠點擊資料記錄； 步驟204、還原滑鼠點擊位置； 步驟205、執行點擊資料建模； 步驟206、生成反映用戶訪問網頁行爲的視覺化圖片 〇 另外，在本申請實施例的實現過程中’可以使用 Appache伺服器進行軟體發展，實現用戶對網頁的訪問次 數總數及對網頁中各區域的訪問次數的統計；可以使用 Appache伺服器中的mop_imap模組進行軟體發展，以確定 各區域的訪問結果；以及，將各區域的訪問結果與相應的 區域相匹配，並顯示出匹配結果，這樣實現起來較爲輕鬆 和方便。 基於同一申請構思，本申請實施例還提供一種用戶訪 問網頁行爲的視覺化處理裝置，其結構如圖3所示，可以 包括： 統計模組301，用於根據用戶端的滑鼠點擊資料，統 計用戶對網頁中各區域的訪問次數，該各區域根據網頁中 的內容進行劃分； 匹配模組302，用於將用戶對網頁中各區域的訪問次 數與相應的區域相匹配； 顯示模組3 03，用於顯示匹配的結果。 如圖4所示，一個實施例中，統計模組3 0 1可以包括： 獲取單元401，用於獲取用戶端的滑鼠點擊資料； 計算單元402，用於對滑鼠點擊資料進行匯總分析， -17- 201044309 根據滑鼠點擊資料中的點擊位置參數形成各區域的點擊資 料集’該點擊資料集中包括用戶對網頁中各區域的訪問次 數。 一個實施例中’計算單元402還可以用於： 根據滑鼠點擊資料中用戶IP位址、co〇kie及點擊位置 參數’確定用戶重複點擊相同區域內容，則在形成該點擊 資料集時’不將重複次數計入該點擊資料集中用戶對網頁 中相應區域的訪問次數。 一個實施例中’計算單元402還可以用於： 生成空白圖片’還原滑鼠點擊資料中的點擊位置參數 並與該空白圖片相匹配； 匹配時使用預設的單位點擊效果圖標識用戶的每一個 滑鼠點擊行爲，直至完成各區域的點擊資料集建模，在該 空白圖片基礎上形成點擊資料建模圖。 一個實施例中，匹配模組3 0 2還可以用於： 將該點擊資料建模圖進行格式轉換：其中，根據用戶 對網頁中各區域的訪問次數的不同，將轉換後的圖片分成 不同的顏色區域。 一個實施例中，匹配模組3 0 2還可以用於： 對格式轉換後的圖片進行透明化處理。 一個實施例中，顯示模組303還可以用於： 在該網頁上添加javascript腳本，通過新建一個層，將 透明化處理後的圖片下載、覆蓋於該網頁上並顯示。 上述裝置實際是前述用戶訪問網頁行爲的視覺化處理 -18- 201044309 方法中資料分析伺服器、第二網站伺服器功能的結合’實 施時，該兩者完全可能以單一實體實現，當然也不排除以 多個實體實現的情況。爲了描述的方便，描述以上裝置時 以功能分爲各種模組或單元分別描述。當然，在實施本申 請時可以把各模組或單元的功能在同一個或多個軟體和/ 或硬體中實現。 基於同一申請構思，本申請實施例還提供一種用戶訪 問網頁行爲的視覺化處理系統，其結構如圖5所示，可以 包括： 資料獲取伺服器50 1，用於接收採集用戶端的滑鼠點 擊資料； 資料分析伺服器502，用於根據資料獲取伺服器採集 的滑鼠點擊資料，統計用戶對網頁中各區域的訪問次數， 該各區域根據網頁中的內容進行劃分；以及，將用戶對網 頁中各區域的訪問次數與相應的區域相匹配； 第一網站伺服器503，用於顯示資料分析伺服器的匹 配結果。 一個實施例中，圖5所示的系統還可以包括： 第二網站伺服器504，用於捕捉用戶端的滑鼠點擊資 料並向資料獲取伺服器上報。 上述第一網站伺服器、資料獲取伺服器、資料分析伺 服器、第二網站伺服器可以是物理上相互獨立的若干個伺 服器，也可以是設置於同一伺服器內以功能劃分的各個丰莫 組或單元。 -19- 201044309 下面舉一例說明上述用戶訪問網頁行爲的視覺化處理 系統的工作模式。該例中實現企業網站產品關注度的視覺 化’網頁中各區域按展示產品的不同來劃分，如圖6所示 ’其操作執行主體包括：訪客（即前述用戶）、企業網站 (即前述第二網站伺服器）、訪客滑鼠點擊資料獲取伺服 器（即前述資料獲取伺服器）、滑鼠點擊資料分析伺服器 (即前述資料分析伺服器）、產品關注度視覺化處理系統 (即那述桌一網站伺服器）'企業網站決策者。本例中企 業網站產品關注度的視覺化處理過程可以包括：獲取訪客 滑鼠點擊資料並上傳到訪客滑鼠點擊資料獲取伺服器；資 料的分析建模生成產品關注度熱點圖；將熱點圖呈現給企 業網站決策者。 當企業網站決策者需要查看產品關注度情況時，通過 操作產品關注度視覺化處理系統相應模組從而觸發產品關 注度視覺化處理系統向滑鼠點擊資料分析伺服器發出生成 熱點圖請求，滑鼠點擊資料分析伺服器獲得相應的訪客滑 鼠點擊資料後進行匯總分析，形成展品展示區各個產品的 點擊資料集，在資料集基礎上進行圖形建模，最終形成產 品關注度熱點圖。 具體處理流程可以如下： 步驟601、訪客訪問企業網站； 步驟602、訪客點擊產品資訊； 步驟603、企業網站獲取滑鼠點擊資料； 步驟604、企業網站將獲取的滑鼠點擊資料上傳至訪 -20- 201044309 客滑鼠點擊資料獲取伺服器； 步驟60 5、訪客滑鼠點擊資料獲取伺服器保存滑鼠點 擊資料； 步驟606、企業網站決策者登錄產品關注度視覺化處 理系統； 步驟607、企業網站決策者査看產品關注度； 步驟608、產品關注度視覺化處理系統請求滑鼠點擊 資料分析伺服器生成產品關注度熱點圖； 步驟609、滑鼠點擊資料分析伺服器請求訪客滑鼠點 擊資料獲取伺服器提供滑鼠點擊資料； 步驟6 1 0、訪客滑鼠點擊資料獲取伺服器對儲存的滑 鼠點擊資料進行預處理； 步驟611、訪客滑鼠點擊資料獲取伺服器向滑鼠點擊 資料分析伺服器返回預處理結果資料； 步驟612、滑鼠點擊資料分析伺服器解析滑鼠點擊行 步驟613、滑鼠點擊資料分析伺服器完成滑鼠行爲建 模； 步驟614、滑鼠點擊資料分析伺服器生成反映訪問對 企業網站產品關注度的熱點圖； 步驟6 1 5、滑鼠點擊資料分析伺服器向產品關注度視 覺化處理系統返回熱點圖； 步驟6 1 ό、產品關注度視覺化處理系統向企業網站決 策者呈現產品關注度熱點圖。將生成的產品關注度熱點圖 -21 - 201044309 展示給網站決策者時，在展品關注度展示頁面上添加 javascript腳本，通過新建一個層，然後將產品關注熱點圖 下載並呈現給決策者，因爲熱點圖已經做過透明化處理， 因此將圖片覆蓋到產品展示區域即可，完成了這一步就可 以得到大致效果圖，一個具體的效果圖可以如圖7所示。 由此可見，本申請實施例類比訪客的滑鼠點擊行爲， 建立相應的點擊模型，通過對所有訪客行爲模型的匯總和 分析，最終將關注度高的產品和關注度低的產品在關注度 報告的視覺呈現上明顯標識出來，以一種視覺化的方式將 訪客對產品的關注度直觀明瞭的展示給網站決策者。 另外，產品關注度視覺化處理系統也可以進一步開發 形成對企業網站產品進行管理的綜合平臺，通過這個平臺 企業可也非常方便的維護管理自己網站上的產品資訊，同 時將兩者結合在產品的部署上也將帶來極大的便利。 本例實現過程中，在訪客滑鼠點擊資料獲取伺服器和 滑鼠點擊資料分析伺服器可使用Appache伺服器進行軟體 發展，使實現過程變得輕鬆；也可使用Appache中的 mop_imap模組進行軟體發展，使資料點擊資料集的建模和 視覺化實現即關注度熱點圖的生成變得方便。該資料獲取 伺服器、資料分析伺服器、第一網站伺服器、第二網站伺 服器在物理屬性上可以是獨立的多台伺服器，也可以按照 功能劃分設置於同一或多個伺服器內。 綜上所述，本申請實施例中，採集用戶端的滑鼠點擊 資料；根據採集的該滑鼠點擊資料，統計用戶對網頁中各 -22- 201044309 區域的訪問次數；以及’將用戶對網頁中各區域的訪問次 數與相應的區域相匹配；顯示匹配結果’從而通過視覺化 方式呈現用戶對網頁中內容的訪問行爲’使用戶對網頁中 內容的關注程度直觀、明瞭，並且，通過將用戶對網頁中 各區域的訪問次數與相應的區域相匹配，也將用戶對網頁 中內容的關注程度與網頁中相應內容之間的關係緊密聯繫 起來，有利於網站決策者後續根據用戶對網頁的訪問行爲 0 進行方便、準確地決策。 該企業包括公司、組織、機構等各種法人組織或非法 人組織，本申請的應用並不限於企業網站，可應用於政府 部門網站、事業單位網站、協會組織網站甚至個人網站等 〇 顯然，本領域的技術人員可以對本申請進行各種改動 和變形而不脫離本申請的精神和範圍。這樣，倘若對本申 請的這些修改和變形屬於本申請申請專利範圍及其等同技 Q 術的範圍之內，則本申請也意圖包含這些改動和變形在內 【圖式簡單說明】 圖1爲本申請實施例中用戶訪問網頁行爲的視覺化處 理方法處理流程圖； 圖2爲本申請實施例中對滑鼠點擊資料的分析和建模 的處理過程示意圖； 圖3爲本申請實施例中用戶訪問網頁行爲的視覺化處 -23- 201044309 理裝置的結構示意圖·， 圖4爲本申請實施例中統計模組的結構示意圖； 圖5爲本申請實施例中用戶訪問網頁行爲的視覺化處 理系統的結構示意圖； 圖6爲本申請實施例中實現企業網站產品關注度的視 覺化的處理流程圖。 圖7爲本申請實施例中產品關注度熱點圖的呈現效果 示意圖。 【主要元件符號說明】 3 0 1 :統計模組 3 02 :匹配模組 3 0 3 :顯示模組 401 :獲取單元 402 :計算單元 5 0 1 :資料採集伺服器 502 :資料分析伺服器 5 03 :第一網站伺服器 504 :第二網站伺服器 -24-201044309 VI. Description of the Invention: [Technical Field] The present application relates to the field of computer network technology, and more particularly to a visual processing method, apparatus and system for user access to web page behavior. [Prior Art] From the purpose of corporate website construction, the company's website is an important platform for corporate publicity to display company products and/or conduct online trade. However, the reality is that most companies do not have an intuitive and clear understanding of the effectiveness of this platform. 'There is no way of knowing about each product displayed on the website.' This situation will continue to lead to the decision-making of product decision makers. The lack of strong support in the promotion strategy has greatly reduced the accuracy and timeliness of decision-making. At present, statistics on the information attention of the enterprise website can be realized in many ways. For example, by analyzing the log data of the website and then summarizing and analyzing, Q can also use third-party software to perform statistics, or even directly add tracking code to the webpage for statistics. Analysis and so on, but the results obtained by these methods are usually only a statistical analysis of the situation of the entire website or individual pages, but can not be targeted for a certain area of the webpage, such as whether a product displayed on the webpage is 'attention'. Statistical analysis, therefore, these methods, in addition to the rigid information brought to the decision makers, are the great pains faced by policy makers in the face of such information. That is to say, the shortcomings of these methods are very obvious: they are not intuitive and unclear, and they also place high demands on readers of data reports. -5- 201044309 And the 'reporting material' deviated from the product display platform, thus separating the relationship between product attention and the product display platform, which ultimately led to decision-making deviations and even errors. SUMMARY OF THE INVENTION The embodiments of the present invention provide a visual processing method for a user to access a webpage behavior, which is used to closely associate a user's attention to the content of the webpage with the corresponding content in the webpage, and display the user intuitively and clearly. For the degree of attention to the content in the webpage, the method includes: collecting mouse click data of the user end; collecting the number of times the user visits each area of the webpage according to the collected mouse click data; and, by using the user for each area of the webpage The number of visits matches the corresponding area; the match results are displayed. Preferably, before the mouse clicks on the data of the user, the javascript code is embedded in the webpage; the onMouseDown event is triggered according to the user's mouse click behavior, and the script is added to the onMouseDown event to capture the mouse click data of the user end, and The httpRequest object reports the mouse click data of the user. Preferably, the statistics are performed according to the collected mouse click data, including: acquiring the collected mouse click data and performing summary analysis, and forming a click data set of each area according to the click position parameter in the mouse click data, 6- 201044309 The click data set includes the number of visits by users to each area of the web page. Preferably, the mouse click data is summarized and analyzed, including: if the user repeatedly clicks on the same area content according to the user IP address, the cookie and the click location parameter in the mouse click data, when the click data set is formed , the number of repetitions is not counted in the number of visits by the user in the click dataset to the corresponding area of the webpage. Preferably, the click data set of each area is formed according to the click position parameter in the mouse click data, including: generating a blank picture, restoring the click position parameter in the click data of the mouse and matching the blank picture; The preset unit click effect diagram is used to identify each mouse click behavior of the user until the click data set modeling of each area is completed, and a click data modeling diagram is formed on the blank image. Preferably, the number of accesses of the user to each area in the webpage is matched with the corresponding area, including: Q: converting the click data modeling image into a format; wherein, according to the number of times the user visits each area of the webpage , the converted picture is divided into different color areas. Preferably, after the click data modeling image is format converted, the method further includes transparent processing the converted image. Preferably, the display matching result includes: adding a javascript script to the webpage, and downloading, overwriting, and displaying the transparentized image on the webpage by creating a new layer. The embodiment of the present application further provides a visualizing 201044309 processing device for a user to access a webpage behavior, which is used to closely associate a user's attention to the content of the webpage with the corresponding content in the webpage, and visually and clearly display the user's webpage. The device includes: a statistical module, configured to count the number of times the user visits each area of the webpage according to the mouse click data of the user end, and the areas are divided according to the content in the webpage; the matching module, It is used to match the number of visits by the user to each area in the webpage to the corresponding area; a display module is used to display the matching result. Preferably, the statistic module comprises: an obtaining unit, configured to acquire a mouse click data of the user end; a calculating unit, configured to perform a summary analysis on the mouse click data, and form each area according to the click position parameter in the mouse click data Click data set, which includes the number of visits by users to each area of the webpage. Preferably, the calculating unit is further configured to: according to the user IP address, the cookie, and the click location parameter in the mouse click data, determine that the user repeatedly clicks on the same area content, and when the click data set is formed, the repeating number is not counted. The number of visits to the corresponding area of the web page by the user in the click data set. Preferably, the calculating unit is further configured to: generate a blank picture, restore a click position parameter in the click data of the mouse, and match the blank picture: use a preset unit click effect diagram to identify each mouse of the user when matching Click on the behavior until the click dataset modeling of each region is completed, and the click data modeling diagram is formed on the basis of the blank image of -8-201044309. Preferably, the matching module is further configured to: perform format conversion on the click data modeling diagram; wherein, the converted picture is divided into different color areas according to different times of the user's access times to each area in the webpage. Preferably, the matching module is further configured to: transparently process the format converted picture. Preferably, the display module is further configured to: add a javascript script to the webpage, and download and overlay the transparentized image on the webpage by displaying a new layer. The embodiment of the present application further provides a visual processing system for a user to access a webpage behavior, which is used to closely associate a user's attention to the content in the webpage with the corresponding content in the webpage, and visually and clearly display the user in the webpage. The degree of attention of the content, the system includes: a data acquisition server for collecting the mouse click data of the user end; a data analysis server for obtaining the mouse click data collected by the server according to the data, and counting the user to each area of the webpage The number of visits, the regions are divided according to the content in the webpage; and the number of visits by the user to each region in the webpage is matched with the corresponding region; the first web server is configured to display the matching result of the data analysis server . Preferably, the method further includes: a second website server, configured to capture the mouse point data of the user end and report the data to the data acquisition server. -9- 201044309 In the embodiment of the present application, the mouse click data of the user end is collected; according to the collected mouse click data, the number of times the user visits each area of the webpage is counted; and 'the number of times the user visits each area in the webpage Matching with the corresponding area; displaying the matching result, thereby visually presenting the user's access behavior to the content in the webpage, so that the user's attention to the content in the webpage is intuitive and clear, and by placing the user on each area of the webpage The number of visits matches the corresponding area, and the relationship between the user's attention to the content in the webpage and the corresponding content in the webpage is closely related, which is beneficial for the website decision maker to follow the user's access behavior to the webpage conveniently and accurately. decision making. [Embodiment] In the embodiment of the present application, the data is modeled and visualized on the basis of the traditional statistical method, and the rigid data is presented to the decision maker in an intuitive manner, which is simple, clear, fast, and convenient. As shown in FIG. 1 , in the embodiment of the present application, the process of the visual processing method for the user to access the webpage may include: Step 101: Collect the mouse click data of the user end. Step 1 02: According to the collected mouse click data, the number of times the user visits each area in the webpage is counted. Among them, each area of the webpage can be divided into multiple ways, such as dividing according to location, dividing according to content, and the like. There are also many ways to divide according to the content. For example, if a webpage contains news content, entertainment content, and educational content, the webpage can be divided into a news area, an entertainment area, and an education area; and if a page is -10-201044309 It can be used to display different products, but it can be different according to the different display; if a web page shows several links, it can be divided into one area. Step 1 〇 3. Match the user's access times to each area of the web page. Step 104: Display a matching result. The steps in the flow shown in Figure 1 can be implemented by the same entity g different entities, depending on actual needs. For example, in a real data acquisition server implementation step 101, the data collection device collects the mouse click data of the user end, and the data analysis server steps 1 02-103, that is, the data analysis server according to the foregoing server Collecting the mouse click data, counting the number of times the user visits the webpage; and matching the user to the corresponding area of the visit in each area of the webpage; by a web server, such as a server, implementing step 104 That is, the matching result of the server is analyzed by the first website server. The steps introduced in this example: the data acquisition server, the data analysis server, and the first website are examples. The implementation does not exclude other one or more entities. In the following description of the embodiment, the present example is taken as an example. In one embodiment, the statistics of the number of times the user accesses the domain can be performed based on the mouse click data by capturing the click data including the click bit. Then, before executing step i 0 1 , the mouse is clicked on the data, for example, it can be divided by another device, such as another product, and each number and corresponding is obtained, and in the embodiment, the servo server implementation data acquisition is obtained. The number of regional questions and the first website indicate that the above-mentioned asset implementation main server only implements the instructions of the present invention, and the regions in the page can be implemented by first capturing the website servo-11 - 201044309 (for example, called the second website server). There are a variety of ways, for example, embedding javascript code in a web page to implement the aforementioned capture function. For example, after the j a v a s c r i p t code is embedded in the webpage, the onMouseDown event is triggered according to the user's mouse click behavior; the script is added to the onMouseDown event to capture the mouse click data; and the httpRequest object is used to report the mouse click data to the data acquisition server. The mouse click data may include a click location parameter, or other information that reflects the user's click status, for example, the corresponding link of the mouse click, the screen resolution, the user IP address, the cookie, and the like. For example, when the second website server captures the mouse click data, in the implementation, after the second website server reports the mouse click data to the data obtaining server, the data obtaining server can store the mouse click data. It can be saved in a fixed format during storage, which is convenient for subsequent data analysis server to extract and analyze. For example, it can be saved in the following data format: X=100Y = 200dx=1024dy = 768URL = www.alisoft.com where X is The distance from the mouse to the leftmost end of the page; γ is the distance from the top of the page when the mouse clicks; dx is the maximum width of the page (obtained by javascript to get the page properties); dy is the maximum height of the page (can be Get the page attribute by javascript 値); URL is the address of the page where the mouse clicks. In the implementation, a log file can be set on the data acquisition server. Each log of the log file -12- 201044309 records a click behavior, for example, the data format in the previous example, where the “=” is the format. Part of it, no special meaning 'can also use ":" instead of 'this record resolves the meaning that the user clicked on that page" URL = www.alisoft.com page size (dx=1024 page width, dy = 768 page height ), what is the position of the mouse click (X=l〇〇 distance from the left side of the page Y = 200 distance from the top of the page) 'X and Y's 値 are recorded according to the actual position of the mouse click, as X is Υ How many times this depends on the actual data. In one embodiment, when the data analysis server performs the user's statistics on the number of visits to each area of the webpage according to the mouse click data, the data analysis server may include: the data analysis server obtains the data acquisition servo. The mouse collected by the device clicks on the data and performs a summary analysis, and forms points of each region according to the click position parameter in the mouse click data. Click on the dataset, which includes the number of visits by users to each area of the webpage. In the implementation of the summary analysis of the mouse click data, it can be counted by the number of mouse clicks or by independent users (similar to traffic statistics). PV and UV). If you click on the number of mouse clicks to count each mouse click behavior, a user clicks multiple times to calculate multiple times; if it is counted by independent users, then one user clicks multiple times. It will not be repeated at one time, which is equivalent to the number of statistic heads. When implementing, different statistical codes can be generated according to the user's choice. According to the method of independent user statistics, an independent user judgment mechanism is added according to the method of counting the number of mouse clicks. The mechanism may be to determine the way of combining the cookie by the user IP address, that is, if the second website is based on the user IP address, CO Okie and the click location parameter in the mouse click data, it is determined that the user repeatedly clicks the same For the content of the area, when the click data set is formed, the number of repetitions is not counted in the user page of the click data set. The number of accesses in the corresponding area. For example, if the IPs are the same but the cookies are different, they can be considered as different users (it can be understood that different users use the same - the client device accesses the network), and the IPs can be considered different. In an embodiment, when the data analysis server forms a click data set of each area according to the click position parameter in the mouse click data, the data analysis server may include: the data analysis server generates a blank picture, and restores the click in the click data of the mouse. The location parameter, that is, the click position and the like are restored on the basis of the obtained click data, and the click position parameter is matched with the blank picture; wherein a specific embodiment of generating a blank picture may include: presetting a blank png format The image file dynamically adjusts the size of the Pn g image file according to the actual size of the page included in the mouse click data. For example, in the data format in the example, dx=l〇24 page width, dy=768 page height' Can be used to generate a blank page. The picture is decoded and re-encoded using the JAV A programming language after resizing. A specific embodiment for matching the click position parameter with the generated blank picture may include: performing a drawing on the adjusted size blank picture, analyzing the mouse click data, restoring the click position data, and pressing the click position data in the blank picture. Mark the corresponding position. Still in the data format of the previous example, for example, the position of the mouse click X = 100 is the distance from the left side of the page, Y = 200, the distance from the top of the page, which can be used for drawing. In the implementation, if the mouse click data is recorded in a fixed pre-defined-14-201044309 format, the process of parsing the click position parameter follows the same rules for parsing, and finally restores each data item for subsequent modeling. Prepare: When matching, use the preset unit to click the rendering to identify each mouse click behavior of the user's until the click dataset modeling of each region is completed, and the click data modeling diagram is formed on the basis of the blank image. In a specific example, there may be multiple ways to draw a corresponding position on a blank picture by clicking the location data when matching, for example, using a preset unit click effect diagram to identify each mouse click behavior of the user 'specifically: will be designed The png image of a point is saved on the server, and each time the png image is copied to the corresponding position. The click data modeling diagram formed by the final modeling is the result of drawing the user's mouse click data according to the click position data by using the unit click effect graph on the blank image with the same page size, and the visual effect is on the blank page. There are dense points (of course, it may be very sparse, depending on the actual click data on the page). After completing the statistics of the number of visits, the data analysis server matches the number of visits in each area with the corresponding area for the first website server to display the matching result. The image, the data, the text, and the like may be used when displaying the matching result, which is not limited in this application. For example, the number of visits of each area is inserted into the corresponding area of the webpage by means of data or text; for example, when displaying by image: After the data analysis server completes the modeling of the click data set, the data modeling diagram is clicked for formatting. Conversion; wherein, according to the number of times the user accesses each area of the webpage, the converted picture is divided into different color areas -15-201044309 domain. That is, the converted graphics will be divided into different color regions according to the intensity of the clicks. For example, the denser the click, the more vivid the color will be. On the contrary, the color of the thinned area should be lighter. The converted first image can be displayed by the subsequent first web server. In order to more clearly present the visual effect of the user's access behavior, the data analysis server can perform the format conversion on the click data modeling image, and then the converted image can be transparently processed. In the implementation, the JAVA language can be used to decode the image, and then the corresponding attribute re-encoding can be used to complete the image processing, including processing of size conversion, format conversion, color change, etc. Of course, the transparency of the image is also the same, and the implementation is simple and convenient. . If the image is in png format, it can also be solved by using JavaScript in combination with style sheet (CSS). It is also simpler to implement. In order to reduce the burden on the user-side browser, the transparent processing can be processed on the server side. . The aforementioned transparency processing is mainly for the subsequent presentation process. We finally hope to place the generated image directly on the webpage. The transparent effect can clearly see the content information in the corresponding webpage behind it. When the display process is performed, a javascript script can be added to the webpage, and the transparently processed image can be downloaded and overlaid on the webpage and displayed by creating a new layer. As shown in FIG. 2, in a specific example, the process of analyzing and modeling the mouse click data by the data analysis server may include: Step 201: Read a user mouse click data record file; Step 202, determine whether to read If yes, go to step 203, otherwise end the process; -16- 201044309 Step 203, parse the user mouse click data record; Step 204, restore the mouse click position; Step 205, perform click data modeling; Step 206 A visualized image reflecting the behavior of the user accessing the webpage is generated. In addition, in the implementation process of the embodiment of the present application, the Appache server can be used for software development, and the total number of times the user accesses the webpage and the number of accesses to each area in the webpage are realized. Statistics; you can use the mop_imap module in the Appache server to develop software to determine the access results of each region; and, to match the access results of each region with the corresponding regions, and display the matching results, which is more effective Easy and convenient. Based on the same application concept, the embodiment of the present application further provides a visual processing device for a user to access a webpage, and the structure thereof is as shown in FIG. 3, which may include: a statistical module 301, configured to count users according to mouse click data of the user end. For the number of visits to each area of the webpage, the areas are divided according to the content in the webpage; the matching module 302 is configured to match the number of visits by the user to each area in the webpage to the corresponding area; the display module 03, Used to display the results of the match. As shown in FIG. 4, in an embodiment, the statistic module 301 may include: an obtaining unit 401, configured to acquire a mouse click data of the user end; and a calculating unit 402, configured to perform a summary analysis on the mouse click data, 17- 201044309 The click data set of each area is formed according to the click position parameter in the mouse click data. The click data set includes the number of times the user visits each area in the webpage. In one embodiment, the calculation unit 402 can also be configured to: determine, according to the user IP address, co〇kie, and click location parameter in the mouse click data, that the user repeatedly clicks on the same area content, and then does not form when the click data set is formed. The number of repetitions is counted in the number of visits by the user in the click data set to the corresponding area of the web page. In one embodiment, the 'computing unit 402 can also be used to: generate a blank picture' to restore the click position parameter in the mouse click data and match the blank picture; and use the preset unit click effect picture to identify each of the users when matching The mouse clicks on the behavior until the click dataset modeling of each region is completed, and a click data modeling diagram is formed on the basis of the blank image. In an embodiment, the matching module 302 can also be used to: format the click data modeling diagram: wherein the converted picture is divided into different according to the number of times the user accesses each area in the webpage. Color area. In an embodiment, the matching module 302 can also be used to: transparently process the formatted image. In one embodiment, the display module 303 can be further configured to: add a javascript script to the webpage, and download and overlay the transparentized image on the webpage by displaying a new layer. The above device is actually a visual processing of the user's access to the webpage behavior -18- 201044309. In the method of combining the data analysis server and the second web server function, the implementation may be implemented by a single entity, and of course, it is not excluded. A situation implemented in multiple entities. For the convenience of description, when describing the above devices, the functions are divided into various modules or units for description. Of course, the functions of each module or unit can be implemented in the same software or software and/or hardware when implementing this application. Based on the same application concept, the embodiment of the present application further provides a visual processing system for a user to access a webpage, and the structure thereof is as shown in FIG. 5, and may include: a data acquisition server 501, configured to receive a mouse click data of the collection user end. The data analysis server 502 is configured to collect the number of visits by the user to each area of the webpage according to the mouse click data collected by the server, and the areas are divided according to the content in the webpage; and, the user is in the webpage The number of visits of each area matches the corresponding area; the first website server 503 is configured to display the matching result of the data analysis server. In one embodiment, the system shown in FIG. 5 may further include: a second website server 504, configured to capture mouse click data of the user end and report to the data acquisition server. The first website server, the data acquisition server, the data analysis server, and the second website server may be physically independent of each other, or may be arranged in the same server and divided by function. Group or unit. -19- 201044309 The following is an example of the working mode of the visual processing system for the above-mentioned user access to webpage behavior. In this example, the visualization of the attention of the enterprise website products is realized. The various areas in the webpage are divided according to the products displayed, as shown in FIG. 6 'the operation execution subject includes: a visitor (ie, the aforementioned user), a corporate website (ie, the foregoing (Web server), visitor mouse click data acquisition server (that is, the aforementioned data acquisition server), mouse click data analysis server (that is, the aforementioned data analysis server), product attention degree visualization processing system (ie, that Table 1 Web Server) 'Corporate Website Decision Makers. In this example, the visual processing process of the product website product attention degree may include: obtaining a visitor mouse click data and uploading it to a visitor mouse click data acquisition server; analyzing and modeling the data to generate a product attention hot spot map; Give corporate website decision makers. When the enterprise website decision maker needs to view the product attention degree, the product attention degree visual processing system is triggered to operate the product attention degree visual processing system to generate a hot spot map request to the mouse click data analysis server, the mouse Clicking on the data analysis server to obtain the corresponding visitor mouse click data and then conducting a summary analysis to form a click data set of each product in the exhibit display area, and performing graphic modeling on the basis of the data set, and finally forming a product attention hot spot map. The specific processing flow may be as follows: Step 601: The visitor visits the enterprise website; Step 602, the visitor clicks on the product information; Step 603, the enterprise website obtains the mouse click data; Step 604, the enterprise website uploads the obtained mouse click data to the visit -20 - 201044309 The guest mouse clicks on the data to obtain the server; Step 60 5. The visitor mouse clicks on the data acquisition server to save the mouse click data; Step 606, the enterprise website decision maker logs in the product attention visual processing system; Step 607, the corporate website The decision maker views the product attention degree; Step 608: The product attention degree visual processing system requests the mouse to click the data analysis server to generate the product attention hot spot map; Step 609, the mouse clicks the data analysis server to request the visitor mouse to click the data acquisition The server provides the mouse click data; Step 6 1 0, the visitor mouse clicks on the data acquisition server to preprocess the stored mouse click data; Step 611, the visitor mouse clicks the data acquisition server to click the data analysis servo to the mouse Return the pre-processing result data; Step 612, click on the data The analyzing server parses the mouse click line step 613, the mouse clicks the data analysis server to complete the mouse behavior modeling; step 614, the mouse clicks the data analysis server to generate a hotspot map reflecting the attention of the visiting website product; 1 5. The mouse clicks on the data analysis server to return the hotspot map to the product attention visual processing system; Step 6 1 产品, the product attention degree visual processing system presents the product attention hotspot map to the enterprise website decision maker. When the generated product attention hotspot map - 21,044,309 is displayed to the website decision maker, add a javascript script on the exhibit attention display page, create a new layer, and then download and present the product focus map to the decision maker because the hotspot The figure has been transparent, so the image can be covered in the product display area. After completing this step, the general effect picture can be obtained. A specific effect picture can be shown in Figure 7. It can be seen that the embodiment of the present application compares the mouse click behavior of the visitor, establishes a corresponding click model, and finally summarizes and analyzes all the visitor behavior models, and finally reports the product with high attention and the product with low attention in the attention report. The visual presentation is clearly identified, visually showing the visitor's attention to the product visually and clearly to the website decision maker. In addition, the product attention visual processing system can further develop and form a comprehensive platform for the management of enterprise website products. Through this platform, enterprises can also conveniently maintain and manage the product information on their own websites, and at the same time combine the two in the products. Deployment will also bring great convenience. In the implementation of this example, the visitor mouse clicks on the data acquisition server and the mouse clicks on the data analysis server to use the Appache server for software development, which makes the implementation process easier. You can also use the mop_imap module in Appache for software. Development, making the modeling and visualization of data click data sets, that is, the generation of attention hotspot maps becomes convenient. The data acquisition server, the data analysis server, the first website server, and the second website server may be independent of multiple servers in physical properties, or may be set in the same server or servers according to functions. In summary, in the embodiment of the present application, the mouse click data of the user end is collected; according to the collected mouse click data, the number of visits by the user to each -22-201044309 area in the webpage is counted; and 'the user is in the webpage The number of visits in each region matches the corresponding region; displaying the matching result 'to visually present the user's access behavior to the content in the webpage' enables the user to intuitively and clearly view the content in the webpage, and by The number of visits in each area of the webpage matches the corresponding area, and the relationship between the user's attention to the content in the webpage and the corresponding content in the webpage is closely related, which is beneficial for the website decision maker to follow the user's access behavior to the webpage. 0 Make convenient and accurate decisions. The company includes various corporate organizations or unincorporated organizations such as companies, organizations, institutions, etc. The application of this application is not limited to corporate websites, and can be applied to government department websites, institution websites, association websites, and even personal websites. A person skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the application. Therefore, if the modifications and variations of the present application are within the scope of the present application and the scope of the equivalents, the present application is also intended to include such modifications and variations. FIG. FIG. 2 is a schematic diagram of a process of analyzing and modeling mouse click data in the embodiment of the present application; FIG. 3 is a schematic diagram of a process for a user to access a webpage in the embodiment of the present application; Visualization of Behavior -23- 201044309 Structure of the device. FIG. 4 is a schematic structural diagram of a statistical module in the embodiment of the present application; FIG. 5 is a structural diagram of a visual processing system for a user to access a webpage in the embodiment of the present application; FIG. 6 is a flowchart of a process for visualizing the attention of an enterprise website product in the embodiment of the present application. FIG. 7 is a schematic diagram showing the rendering effect of a product attention hotspot map in the embodiment of the present application. [Main component symbol description] 3 0 1 : Statistics module 3 02 : Matching module 3 0 3 : Display module 401 : Acquisition unit 402 : Calculation unit 5 0 1 : Data acquisition server 502 : Data analysis server 5 03 : First Website Server 504: Second Website Server-24-