TW201926227A - Real estate user behavior data capturing and advertisement recommending system automatically recognizing an user even when the user has not logged in for a long time - Google Patents
Real estate user behavior data capturing and advertisement recommending system automatically recognizing an user even when the user has not logged in for a long time Download PDFInfo
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Abstract
Description
本發明係關於一種房地產用戶行為數據擷取與廣告推薦系統,特別係關於一種用戶只需登入一次就能被系統擷取數據並準確傳送房地產資訊的廣告推薦系統。The present invention relates to a real estate user behavior data retrieval and advertisement recommendation system, in particular to an advertisement recommendation system in which a user can log in data once and log in and accurately transmit real estate information.
隨著智慧型手機的普及,所有人的生活已離不開智慧型手機,用戶在使用的當下其實就不斷的產生各種的資料,並回傳至相關廠商的伺服器。換句話說,所產生的每一個資料都將透漏用戶的喜好與習慣。With the popularity of smart phones, all people's lives are inseparable from smart phones. In the current use, users are constantly generating various kinds of information and returning them to the relevant vendors' servers. In other words, every piece of data generated will reveal the user's preferences and habits.
現在的廣告追蹤技術已經可以重建大部分用戶的網路瀏覽歷史,而許多網站也藉由用戶登入會員後以判斷此名用戶的身分,藉以發送相關的資訊與廣告。Today's ad tracking technology has been able to rebuild the history of most users' web browsing, and many websites also use the user to log in to the member to determine the identity of the user, in order to send relevant information and advertising.
由於現今網路資安詐騙頻傳,許多用戶為了安全都把帳號、密碼設的非常複雜,所以遇到要登入的網站時,許多用戶都會覺得麻煩而不登入,這也導致網站無法判斷該名用戶的身分,而無法提供較為合適的資訊或廣告予用戶。Due to the frequent scams of Internet security, many users set their accounts and passwords very complicated for security. Therefore, when encountering a website to log in, many users will feel trouble without logging in, which also causes the website to be unable to judge the user. Being unable to provide appropriate information or advertisements to users.
有鑑於此,開發一種縱使會員目前不登入,也能準確判斷出會員的身分並發送合適的房地產資料與廣告予期的系統,即係本領域業者所亟欲企求的。In view of this, the development of a system that allows members to accurately determine the identity of a member and send appropriate real estate materials and advertisements, even if the member does not currently log in, is what the industry is eager to seek.
有鑑於此,本發明係提供一種房地產用戶行為數據擷取與廣告推薦系統。In view of this, the present invention provides a real estate user behavior data capture and advertisement recommendation system.
為了達成上述目的,本發明提供一種房地產用戶行為數據擷取與廣告推薦系統,其包含:資料庫;會員登入模組,用以供用戶輸入帳號密碼以註冊會員或登入會員,用戶註冊成功後將產生會員資料並儲存至資料庫內;房地產數據擷取模組,用以擷取用戶瀏覽器對房地產物件瀏覽行為的小型文字檔案;以及處理模組,其電性連接資料庫、會員登入模組以及房地產數據擷取模組,處理模組將儲存於資料庫之用戶的會員資料與房地產數據擷取模組所擷取之用戶瀏覽器的小型文字檔案藉由機器學習技術做綜合處理,藉以達成未來用戶即使不登入會員也能辨識用戶之身分,並藉此透過網路傳送符合用戶喜好的房屋物件資料至其電腦終端裝置。In order to achieve the above object, the present invention provides a real estate user behavior data capture and advertisement recommendation system, which comprises: a database; a member login module for a user to input an account password to register a member or log in to a member, and after the user successfully registers, Generate member information and store it in the database; real estate data capture module to capture the small text file of the user's browser for real estate object browsing behavior; and processing module, its electrical connection database, member login module And the real estate data acquisition module, the processing module integrates the member data of the user stored in the database with the small text file of the user browser captured by the real estate data acquisition module, and comprehensively processes the machine learning technology to achieve Future users can identify the user's identity even if they do not log in to the member, and use this to transmit the property object information that matches the user's preferences to their computer terminal device.
以下將透過實施例來解釋本發明內容,其係關於一種房地產用戶行為數據擷取與廣告推薦系統。然而,本發明之實施例並非用以限制實施本發明之任何特定的環境、應用或特殊方式。因此,關於實施例之說明僅為闡釋本發明之目的,而非用以限制本發明。需說明者,以下實施例及圖式中,與本發明非直接相關之元件均已省略而未繪示;且為求簡易瞭解起見,各元件間之尺寸關係並非依照實際比例繪示出。The present invention will be explained below by way of an embodiment relating to a real estate user behavior data capture and advertisement recommendation system. However, the embodiments of the present invention are not intended to limit any particular environment, application, or particular mode of carrying out the invention. Therefore, the description of the embodiments is merely illustrative of the invention and is not intended to limit the invention. It is to be noted that in the following embodiments and drawings, elements that are not directly related to the present invention have been omitted and are not shown; and for the sake of simplicity, the dimensional relationships between the elements are not drawn to scale.
如第1圖所示,係一種房地產用戶行為數據擷取與廣告推薦系統1。後續為方便說明,房地產用戶行為數據擷取與廣告推薦系統1將簡稱為系統1,其中,系統1包含資料庫12、會員登入模組14、房地產數據擷取模組16以及處理模組10。As shown in Fig. 1, it is a real estate user behavior data acquisition and advertisement recommendation system 1. For convenience of description, the real estate user behavior data capture and advertisement recommendation system 1 will be referred to as the system 1 for short, wherein the system 1 includes a database 12, a member login module 14, a real estate data capture module 16, and a processing module 10.
資料庫12;Database 12;
會員登入模組14,用以供用戶輸入帳號密碼以註冊會員或登入會員,用戶註冊成功後將產生會員資料140並儲存至資料庫12內;The member login module 14 is configured for the user to input an account password to register a member or log in to the member. After the user successfully registers, the member information 140 is generated and stored in the database 12;
房地產數據擷取模組16,用以擷取用戶瀏覽器對房地產物件瀏覽行為的小型文字檔案160;以及a real estate data capture module 16 for capturing a small text file 160 of a user's browser for browsing real estate objects;
處理模組10,其電性連接資料庫12、會員登入模組14以及房地產數據擷取模組16,處理模組10將儲存於資料庫12之用戶的會員資料140與房地產數據擷取模組16所擷取之用戶瀏覽器的小型文字檔案160藉由機器學習技術做綜合處理,藉以達成未來用戶即使不登入會員也能辨識用戶之身分,並藉此透過網路傳送符合用戶喜好的房屋物件資料至其電腦終端裝置。The processing module 10 is electrically connected to the database 12, the member login module 14 and the real estate data capturing module 16. The processing module 10 stores the member information 140 of the user stored in the database 12 and the real estate data capturing module. The small text file 160 of the user's browser captured by 16 is integrated by machine learning technology, so that future users can identify the user's identity even if they do not log in to the member, and thereby transmit the house object according to the user's preference through the network. Information to its computer terminal device.
值得一提的是,小型文字檔案160即係為 cookie ,係用來追蹤用戶網路活動的技術。本發明便是透過房地產數據擷取模組16擷取用戶藉由用戶瀏覽器瀏覽房地產物件時,所產生的cookie,藉此精準地掌握用戶在網站上的行為。It is worth mentioning that the small text file 160 is a cookie, which is used to track the user's network activity. The present invention uses the real estate data retrieval module 16 to capture the cookie generated by the user when browsing the real estate object through the user's browser, thereby accurately grasping the behavior of the user on the website.
而處理模組10再藉由機器學習技術,更詳細地說就是透過人工智慧做深度機器學習,藉此對會員資料140與小型文字檔案160做綜合處理,如此便能讓用戶未來即使不登入會員,系統1也可自動辨識此用戶是不之前曾經登入過,並準確判斷可能是哪個用戶,以達成縱使用戶沒登入系統1,也能準確傳送符合用戶喜好的房屋物件資料至其使用的電腦終端裝置。The processing module 10, through machine learning technology, in more detail, performs in-depth machine learning through artificial intelligence, thereby comprehensively processing the member data 140 and the small text file 160, so that the user can not log in to the member in the future. The system 1 can also automatically recognize that the user has not previously logged in, and accurately determine which user may be, in order to achieve a computer terminal that can accurately transmit the item object information according to the user's preference even if the user does not log in to the system 1. Device.
其中,用戶瀏覽器可為桌上型電腦的瀏覽器或智慧型行動裝置的瀏覽器。The user browser can be a browser of a desktop computer or a browser of a smart mobile device.
而至於系統1將符合用戶喜好的房屋物件資料傳送至用戶的方式可包含:藉由網路直接將其展現至用戶瀏覽器、藉由網路並透過推播方式以將其發送至用戶的電腦終端裝置、藉由網路並透過電子郵件方式以將其發送至用戶的電腦終端裝置,以及透過電話簡訊方式以將其發送至用戶的電腦終端裝置。As for the way in which the system 1 transmits the item object data that meets the user's preference to the user, the method can be directly displayed on the user's browser through the network, sent to the user's computer through the network and through the push mode. The terminal device transmits the data to the user's computer terminal device via the Internet and by e-mail, and transmits the message to the user's computer terminal device via the telephone short message.
其中,電腦終端裝置包括但不限定為桌上型電腦、筆記型電腦、智慧型手機或是平板電腦。Among them, the computer terminal device includes but is not limited to a desktop computer, a notebook computer, a smart phone or a tablet computer.
如第2圖所示,係一種房地產用戶行為數據擷取與廣告推薦系統1與電腦終端裝置80資料連接的系統架構示意圖,其中,系統1包含資料庫12、會員登入模組14、房地產數據擷取模組16以及處理模組10。As shown in FIG. 2, it is a system architecture diagram of real estate user behavior data capture and data connection between the advertisement recommendation system 1 and the computer terminal device 80. The system 1 includes a database 12, a member login module 14, and real estate data. The module 16 and the processing module 10 are taken.
資料庫12;Database 12;
會員登入模組14,用以供用戶8輸入帳號密碼以註冊會員或登入會員,用戶8註冊成功後將產生會員資料140並儲存至資料庫12內;The member login module 14 is configured for the user 8 to input an account password to register a member or log in to the member. After the user 8 is successfully registered, the member profile 140 is generated and stored in the database 12;
房地產數據擷取模組16,用以擷取用戶瀏覽器800對房地產物件瀏覽行為的小型文字檔案160;以及The real estate data capture module 16 is configured to retrieve a small text file 160 of the user browser 800 for browsing real estate objects;
處理模組10,其電性連接資料庫12、會員登入模組14以及房地產數據擷取模組16,處理模組10將儲存於資料庫12之用戶的會員資料140與房地產數據擷取模組16所擷取之用戶瀏覽器800的小型文字檔案160藉由機器學習技術做綜合處理,藉以達成未來用戶8即使不登入會員也能辨識用戶8之身分,並藉此透過網路100傳送符合用戶8喜好的房屋物件資料101至其電腦終端裝置80。The processing module 10 is electrically connected to the database 12, the member login module 14 and the real estate data capturing module 16. The processing module 10 stores the member information 140 of the user stored in the database 12 and the real estate data capturing module. The small text file 160 of the user browser 800 retrieved by 16 is integrated by machine learning technology, so that the future user 8 can recognize the identity of the user 8 even if the user does not log in, and thereby transmit the user according to the network 100. 8 favorite house item data 101 to its computer terminal device 80.
值得一提的是,小型文字檔案160即係為 cookie ,係用來追蹤用戶網路活動的技術。本發明便是透過房地產數據擷取模組16擷取用戶8藉由用戶瀏覽器800瀏覽房地產物件時,所產生的cookie,藉此精準地掌握用戶8在網站上的行為。It is worth mentioning that the small text file 160 is a cookie, which is used to track the user's network activity. The present invention utilizes the real estate data capture module 16 to retrieve the cookie generated by the user 8 when browsing the real estate object through the user browser 800, thereby accurately grasping the behavior of the user 8 on the website.
而處理模組10再藉由機器學習技術,更詳細地說就是透過人工智慧做深度機器學習,藉此對會員資料140與小型文字檔案160做綜合處理,如此便能讓用戶8未來即使不登入會員,系統1也可自動辨識此用戶8是不之前曾經登入過,並準確判斷可能是哪個用戶,藉以達成縱使用戶8沒登入系統1,也能準確傳送符合用戶8喜好的房屋物件資料101至其使用的電腦終端裝置80。The processing module 10, through machine learning technology, in more detail, performs in-depth machine learning through artificial intelligence, thereby comprehensively processing the member data 140 and the small text file 160, so that the user 8 can not log in even in the future. Member, system 1 can also automatically recognize that this user 8 has not previously logged in, and accurately determine which user may be, so that even if user 8 does not log in to system 1, it can accurately transmit the item object data 101 that matches user 8's preference. The computer terminal device 80 used.
其中,用戶瀏覽器800可為桌上型電腦的瀏覽器或智慧型行動裝置的瀏覽器。The user browser 800 can be a browser of a desktop computer or a browser of a smart mobile device.
而其中,系統1將符合用戶8喜好的房屋物件資料101傳送至用戶8之電腦終端裝置80的方式可包含:藉由網路100直接將符合用戶8喜好的房屋物件資料101展現至用戶瀏覽器800;藉由網路100並透過推播方式以將符合用戶8喜好的房屋物件資料101傳送至用戶8的電腦終端裝置80;藉由網路100並透過電子郵件方式以將符合用戶8喜好的房屋物件資料101傳送至用戶8的電腦終端裝置80;以及藉由電話簡訊方式以將房屋物件資料101傳送至用戶8的電腦終端裝置80。The manner in which the system 1 transmits the house object data 101 conforming to the user 8 preferences to the computer terminal device 80 of the user 8 may include: directly displaying the house object data 101 conforming to the user 8 preferences to the user browser through the network 100. 800; transmitting the house item data 101 conforming to the user's 8 preferences to the computer terminal device 80 of the user 8 through the network 100 and by pushing the broadcast; by the network 100 and by e-mail, the user 8 will be in accordance with the preference of the user 8 The house item data 101 is transmitted to the computer terminal device 80 of the user 8; and the house object information 101 is transmitted to the computer terminal device 80 of the user 8 by means of a telephone message.
其中,電腦終端裝置80包括但不限定為桌上型電腦、筆記型電腦、智慧型手機或是平板電腦。The computer terminal device 80 includes, but is not limited to, a desktop computer, a notebook computer, a smart phone, or a tablet computer.
以上所述僅為本發明之較佳實施例而已,並非用以限定本發明之範圍;凡其它未脫離本發明所揭示之精神下所完成之等效改變或修飾,均應包含在下述之專利範圍內。The above are only the preferred embodiments of the present invention, and are not intended to limit the scope of the present invention; all other equivalent changes or modifications which are not departing from the spirit of the present invention should be included in the following patents. Within the scope.
1‧‧‧房地產用戶行為數據擷取與廣告推薦系統1‧‧‧Real estate user behavior data capture and advertising recommendation system
10‧‧‧處理模組10‧‧‧Processing module
12‧‧‧資料庫12‧‧‧Database
14‧‧‧會員登入模組14‧‧‧Member Login Module
16‧‧‧房地產數據擷取模組16‧‧‧Real estate data capture module
140‧‧‧會員資料140‧‧‧Member Information
160‧‧‧小型文字檔案160‧‧‧Small text file
100‧‧‧網路100‧‧‧Network
8‧‧‧用戶8‧‧‧Users
80‧‧‧電腦終端裝置80‧‧‧Computer terminal device
800‧‧‧用戶瀏覽器800‧‧‧User Browser
101‧‧‧房屋物件資料101‧‧‧House item information
第1圖係房地產用戶行為數據擷取與廣告推薦系統示意圖;以及 第2圖係房地產用戶行為數據擷取與廣告推薦系統與電腦終端裝置資料連接的系統架構示意圖。The first figure is a schematic diagram of the real estate user behavior data acquisition and advertisement recommendation system; and the second figure is a system architecture diagram of the real estate user behavior data acquisition and the advertisement recommendation system and the computer terminal device data connection.
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