TWM559479U - Real estate user behavior data acquisition and advertisement recommendation system - Google Patents

Real estate user behavior data acquisition and advertisement recommendation system Download PDF

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Publication number
TWM559479U
TWM559479U TW106217862U TW106217862U TWM559479U TW M559479 U TWM559479 U TW M559479U TW 106217862 U TW106217862 U TW 106217862U TW 106217862 U TW106217862 U TW 106217862U TW M559479 U TWM559479 U TW M559479U
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user
real estate
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recommendation system
browser
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shu-zhen Lin
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Lin Shu Zhen
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Abstract

本新型係一種房地產用戶行為數據擷取與廣告推薦系統,其包含儲存模組、會員登入模組、房地產數據擷取模組以及處理模組。系統將透過房地產數據擷取模組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,並將其與儲存在儲存模組內的會員資料藉由人工智慧的深度機器學習技術做綜合處理,藉以達成用戶未來即使不登入會員,系統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,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 present invention is a real estate user behavior data capture and advertisement recommendation system, which comprises a storage module, a member login module, a real estate data capture module and a processing module. The system will use the real estate data capture module to capture the small text file of the user's browser browsing behavior of real estate objects, and integrate it with the member data stored in the storage module by means of artificial intelligence deep machine learning technology. In order to achieve the user's future, even if you do not log in to the member, the system can automatically recognize that the user has not logged in before, and accurately determine which user may be, in order to achieve accurate delivery of the house object that meets the user's preferences even if the user does not log in to the system. Information to the computer terminal device used.

Description

房地產用戶行為數據擷取與廣告推薦系統Real estate user behavior data capture and advertising recommendation system

本新型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 capture 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,本新型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,本新型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:儲存模組;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儲存模組內;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,其電性連接儲存模組、會員登入模組以及房地產數據擷取模組,處理模組將儲存於儲存模組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 objective, the present invention provides a real estate user behavior data capture and advertisement recommendation system, which comprises: a storage module; a member login module 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 data will be generated and stored in the storage module; the real estate data capture module is used to retrieve the small text file of the user's browser for real estate object browsing behavior; and the processing module is electrically connected to the storage module and member. The login module and the real estate data capture module, the processing module integrates the member data stored in the storage module and the small text file of the user browser captured by the real estate data capture module by machine learning technology Processing, in order to achieve future users can identify the user's identity even if they do not log in to the member, and thereby transmit the property object information that meets the user's preference to the computer terminal device through the network.

以下將透過實施例來解釋本新型內容,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,本新型之實施例並非用以限制實施本新型之任何特定的環境、應用或特殊方式。因此,關於實施例之說明僅為闡釋本新型之目的,而非用以限制本新型。需說明者,以下實施例及圖式中,與本新型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 manner in which the present invention is implemented. Therefore, the description of the embodiments is merely illustrative of the present invention and is not intended to limit the present invention. It should be noted that in the following embodiments and drawings, components 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 components are not drawn to actual scales.

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包含儲存模組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 storage module 12, a member login module 14, a real estate data capture module 16, and a processing module 10. .

儲存模組12;Storage module 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並儲存至儲存模組12內;The member login module 14 is configured to allow the user to input an account password to register a member or log in to the member. After the user is successfully registered, the member information 140 is generated and stored in the storage module 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,其電性連接儲存模組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將儲存於儲存模組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 storage module 12, the member login module 14, and the real estate data capture module 16. The processing module 10 captures the member information 140 of the user stored in the storage module 12 and the real estate data. The small text file 160 of the user browser captured by the module 16 is integrated by machine learning technology, so that the user can identify the user's identity even if the user does not log in, and thereby transmit the content according to the user's preference through the network. Housing object 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。本新型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 novel is to accurately grasp the behavior of the user on the website through the real estate data capture module 16 to capture the cookie generated by the user browsing the real estate object through the user's browser.

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包含儲存模組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 storage module 12, a member login module 14, and real estate data. The module 16 and the processing module 10 are captured.

儲存模組12;Storage module 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並儲存至儲存模組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 storage module 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,其電性連接儲存模組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將儲存於儲存模組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 storage module 12, the member login module 14, and the real estate data capture module 16. The processing module 10 captures the member information 140 of the user stored in the storage module 12 and the real estate data. The small text file 160 of the user browser 800 captured by the module 16 is integrated by machine learning technology, so that the future user 8 can recognize the identity of the user 8 even if the member is not logged in, and thereby transmit through the network 100. The house item data 101 conforming to the user's favorite 8 is to the 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。本新型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 novel is to capture the cookie generated by the user 8 when browsing the real estate object through the user's browser 800 through the real estate data retrieval module 16 to accurately grasp 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.

以上所述僅為本新型之較佳實施例而已,並非用以限定本新型之範圍;凡其它未脫離本新型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 description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention; any other equivalent changes or modifications that 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
10‧‧‧處理模組
12‧‧‧儲存模組
14‧‧‧會員登入模組
16‧‧‧房地產數據擷取模組
140‧‧‧會員資料
160‧‧‧小型文字檔案
100‧‧‧網路
8‧‧‧用戶
80‧‧‧電腦終端裝置
800‧‧‧用戶瀏覽器
101‧‧‧房屋物件資料
1‧‧‧Real Estate User Behavior Data Acquisition and Advertising Recommendation System 10‧‧‧Processing Module 12‧‧‧Storage Module 14‧‧‧Member Login Module 16‧‧ Real Estate Data Capture Module 140‧‧‧ Member Information 160‧‧‧Small Text File 100‧‧‧Internet 8‧‧ User 80‧‧‧Computer Terminal Device 800‧‧‧User Browser 101‧‧‧House Object 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.

Claims (6)

一種房地產用戶行為數據擷取與廣告推薦系統,其包含: 一儲存模組; 一會員登入模組,用以供用戶輸入帳號密碼以註冊會員或登入會員,該用戶註冊成功後將產生一會員資料並儲存至該儲存模組內; 一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 一處理模組,其電性連接該儲存模組、該會員登入模組以及該房地產數據擷取模組,該處理模組將儲存於該儲存模組之該用戶的會員資料與該房地產數據擷取模組所擷取之該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該用戶之身分,並藉此透過網路傳送符合該用戶喜好的一房屋物件資料至其電腦終端裝置。A real estate user behavior data capture and advertisement recommendation system, comprising: a storage module; a member login module for the user to input an account password to register a member or login member, the user will generate a member profile after successful registration And storing in the storage module; a real estate data capture module for capturing a small text file of the browsing behavior of the real estate object by the user browser; and a processing module electrically connected to the storage module, the a member login module and the real estate data capture module, the processing module stores the member information of the user stored in the storage module and the small text file of the user browser captured by the real estate data capture module The machine learning technology is used for comprehensive processing, so that the future user can identify the user's identity even if he or she does not log in to the member, and thereby transmit a house object information conforming to the user's preference to the computer terminal device through the network. 如申請專利範圍第1項所述之房地產用戶行為數據擷取與廣告推薦系統,其中該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 real estate user behavior data capture and advertisement recommendation system described in claim 1 is wherein the user browser can be a browser of a desktop computer or a browser of a smart mobile device. 如申請專利範圍第1項所述之房地產用戶行為數據擷取與廣告推薦系統,其中該系統藉由網路直接將該房屋物件資料展現至該用戶瀏覽器。For example, the real estate user behavior data extraction and advertisement recommendation system described in claim 1 of the patent scope, wherein the system directly displays the housing object information to the user browser through the network. 如申請專利範圍第1項所述之房地產用戶行為數據擷取與廣告推薦系統,其中該系統藉由網路並透過推播方式以將該房屋物件資料傳送至該電腦終端裝置。For example, the real estate user behavior data extraction and advertisement recommendation system described in claim 1 of the patent application, wherein the system transmits the property object data to the computer terminal device through the network and through push promotion. 如申請專利範圍第1項所述之房地產用戶行為數據擷取與廣告推薦系統,其中該系統藉由網路並透過電子郵件方式以將該房屋物件資料傳送至該電腦終端裝置。For example, the real estate user behavior data extraction and advertisement recommendation system described in claim 1 is provided, wherein the system transmits the housing item data to the computer terminal device via the network and by email. 如申請專利範圍第1項所述之房地產用戶行為數據擷取與廣告推薦系統,其中該系統透過電話簡訊方式以將該房屋物件資料傳送至該電腦終端裝置。For example, the real estate user behavior data extraction and advertisement recommendation system described in claim 1 is provided, wherein the system transmits the housing object information to the computer terminal device through a telephone short message.
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