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TWI715817B - Advertisement recommendation system method - Google Patents

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TWI715817B
TWI715817B TW106145616A TW106145616A TWI715817B TW I715817 B TWI715817 B TW I715817B TW 106145616 A TW106145616 A TW 106145616A TW 106145616 A TW106145616 A TW 106145616A TW I715817 B TWI715817 B TW I715817B
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item
browsing
interest
information
recommendation system
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TW106145616A
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TW201928832A (en
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劉柏園
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人因設計所股份有限公司
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Abstract

本發明係有關一種廣告推薦系統之方法,改善以物易物交易平台上推薦系統僅能依據瀏覽記錄來選擇推薦內容,無法隨時因用戶端的交易行為進行變更,使推薦內容過於單調。藉由關注物品的消費資訊來判斷用戶端的交易行為,進而變更成提供關注物品的周邊物品資訊。使以物易物交易平台上的推薦系統能更加貼近用戶端的需求。The present invention relates to a method of an advertisement recommendation system. The recommendation system on a barter trading platform can only select recommended content based on browsing records, and cannot be changed at any time due to the transaction behavior of the client, which makes the recommended content too monotonous. The consumer information of the concerned item is used to determine the transaction behavior of the client, and then it is changed to provide the peripheral item information of the concerned item. Make the recommendation system on the barter trading platform closer to the needs of users.

Description

廣告推薦系統之方法Advertisement recommendation system method

本發明有關一種推薦系統,尤其是一種廣告推薦系統之方法。The present invention relates to a recommendation system, in particular to an advertisement recommendation system method.

近年來,網際網路已經非常普遍,隨者網際網路的蓬勃發展,進而帶動拍賣平台、購物網站發展蒸蒸日上,帶來龐大的購物商機,網路購物的操作方法大致可簡略分為兩大類,分別是電子商店與電子商場。In recent years, the Internet has become very common. With the rapid development of the Internet, the development of auction platforms and shopping websites has been boosted, bringing huge shopping opportunities. The operation methods of online shopping can be roughly divided into two categories. They are e-shops and e-shopping malls.

前者多指單一賣方,例如代理特定品牌、跑單幫;後者則多以常見的購物商城型態呈現,以販售各式各樣的品牌與產品為主,例如奇摩購物中心。但無論是哪一種,都是必須經過網路下單、互動和交易,再藉由物流系統配送商品的流程。The former mostly refers to a single seller, such as acting for a specific brand and running a single store; the latter is mostly presented in a common shopping mall type, mainly selling a variety of brands and products, such as Qimo Shopping Center. But no matter which type, it is a process of placing orders, interacting and trading through the Internet, and then using the logistics system to distribute goods.

但,與傳統購物相比,由於傳統購物必須要有實體店鋪和人力配置而有較多的成本支出,相對於網路購物而言,卻可以省去這些成本支出。且,買家也可以足不出戶,直接在購物網站上購買物品。因此,這種新興的交易型態逐漸衍生成時下最熱門的「電子商務」起源之一。並且,一旦網路愈加普及化,只要能夠掌握並使用網際網路,人人就都可以創業,人人也都能夠透過網路購買商品。However, compared with traditional shopping, because traditional shopping must have physical stores and manpower allocation, there are more cost expenditures. Compared with online shopping, these costs can be saved. Moreover, buyers can also purchase items directly on shopping websites without leaving home. Therefore, this emerging transaction pattern has gradually evolved into one of the most popular "e-commerce" origins. Moreover, once the Internet becomes more popular, as long as they can master and use the Internet, everyone can start a business, and everyone can buy goods through the Internet.

然而,隨著環保意識逐漸抬頭,以物易物的交易模式再次興起,再加上以物易物節省電子商務中的「金流」。因此,在不景氣的環境下,省錢又環保的交易行為,更助長以物易物的交易行為。However, as the awareness of environmental protection has gradually risen, bartering transactions have revived, coupled with bartering to save the "gold flow" in e-commerce. Therefore, in a sluggish environment, money-saving and environmentally-friendly trading practices encourage bartering transactions.

所謂的以物易物,就是用自己擁有的物品或服務與別人交換,以換取別人的物品或服務,是一種現有貿易模式出現之前已有的交易方式。在原始社會裡,人們會使用物品交換物品的方式,交換自己所需要的物資。The so-called bartering is to exchange the goods or services you own with others in exchange for other people's goods or services. It is a trading method that existed before the emergence of the existing trade model. In primitive society, people would use the way of exchanging goods to exchange the materials they needed.

而此方式,正悄然成為全球民眾抵擋經濟時艱的新方法。以更擴大的定義來說,每個人、組織或社區都可以將自己擁有的資源,藉由交換以換取自己沒有的資源。以物易物的理念,就是希望為這些物品創造價值,將個人家裡不用的物品,給予其價值,並可透過交換的方式取得其他物品,從而節省開支。And this method is quietly becoming a new method for the global people to resist economic difficulties. In a broader definition, every person, organization or community can exchange the resources they have in exchange for resources they do not have. The idea of bartering is to create value for these items, to give value to items that are not used in the home, and to obtain other items through exchange, thereby saving expenses.

因此,許多以物易物網站更如雨後春筍般紛紛冒出,像是以物易物交換網、Craigslist及Tradeduck.com等網站。亦或是手機的APP也有交易平台的出現,像是Swapub等APP。Therefore, many bartering websites have sprung up like mushrooms after a rain, such as the bartering network, Craigslist and Tradeduck.com. Or mobile apps have also appeared trading platforms, such as Swapub and other apps.

但如同網路購物所面臨的問題,商家能在網站上提供的物品種類和數量非常多,這反而大大增加了消費者購物的時間成本,降低了購物網站的物品購買率,且在眾多的物品資訊中,過量的資訊使得消費者無法高效地從中獲取自己需要的部分,資訊的使用效率反而降低。進而使消費者不願意花費太多時間在漫無邊際的網上尋找物品。However, like the problems faced by online shopping, the types and quantities of items that merchants can provide on the website are very large, which in turn greatly increases the time cost of consumers shopping, reduces the purchase rate of items on shopping websites, and in many items In the information, the excessive amount of information makes consumers unable to efficiently obtain the part they need from it, and the efficiency of the use of information is reduced. In turn, consumers are unwilling to spend too much time searching for items on the endless Internet.

以物易物也是同樣的問題,交易平台上物品個數和種類快速增長,使用者往往需要花費大量的時間才能找到自己想交易的物品。這種瀏覽大量無關的信息和產品過程無疑地會使淹沒在信息過載問題中的消費者不斷流失。Bartering is the same problem. The number and types of items on the trading platform are growing rapidly, and users often need to spend a lot of time to find the items they want to trade. This process of browsing a large amount of irrelevant information and products will undoubtedly cause the loss of consumers who are submerged in the problem of information overload.

在眾多的物品信息中,推薦系統是一種提高店家的物品成交量以及使用戶快速找到所需物品的有效方法,因此推薦系統起著非常重要的作用,一個有效的推薦系統,不僅可以方便用戶使用、提高以物易物網站的交易量,更重要的是能夠避免用戶漫無目的進行的瀏覽、點擊行為。Among the numerous item information, the recommendation system is an effective way to increase the store’s item transaction volume and enable users to quickly find the items they need. Therefore, the recommendation system plays a very important role. An effective recommendation system is not only convenient for users to use , Increasing the transaction volume of bartering websites, and more importantly, avoiding users' aimless browsing and clicking behavior.

然而,現今的推薦系統不能隨著用戶的交易行為,而更改其推薦模式。當用戶經由以物易物換得所需物品時,推薦系統仍是推薦其原本所需的物品,並不會隨著所需物品的獲得,而轉換為所需物品的相關物品推薦。However, the current recommendation system cannot change its recommendation mode according to the user's transaction behavior. When a user obtains a desired item through bartering, the recommendation system still recommends the item that he originally needed, and will not convert the item to recommendation related to the desired item as the desired item is obtained.

因此,如何改良其推薦系統,使推薦系統可隨著用戶的交易行為,而更改其推薦內容,仍為相關領域之技術人員有待克服之課題。Therefore, how to improve the recommendation system so that the recommendation system can change the recommended content according to the user's transaction behavior is still an issue to be overcome by those skilled in the relevant field.

本發明之主要目的,係提供一種廣告推薦系統之方法,該推薦系統係隨著用戶端在以物易物交易平台上的交易行為,而變更其推薦內容,從關注物品的物品資訊變更為關注物品的周邊物品資訊。The main purpose of the present invention is to provide a method for an advertisement recommendation system. The recommendation system changes its recommendation content from the item information of the concerned item to the concerned item following the transaction behavior of the user terminal on the barter trading platform. Peripheral item information of the item.

為了達到上述目的及功效,本發明揭示了一種廣告推薦系統之方法,其係以當用戶端使用電子裝置依據應用程式顯示第一瀏覽頁面後,瀏覽第一瀏覽頁面上的關注物品,並點選進入此關注物品之物品頁面。當用戶端購買此關注物品時,同時產生此關注物品之消費資訊。且伺服裝置儲存此關注物品之消費資訊,並依據此關注物品之消費資訊來顯示對應關注物品的周邊物品資訊於第二瀏覽頁面。In order to achieve the above objectives and effects, the present invention discloses a method of an advertisement recommendation system, which is to browse the items of interest on the first browsing page after the user terminal uses the electronic device to display the first browsing page according to the application program, and click Enter the item page of this item of interest. When the client purchases the item of interest, consumption information of the item of interest is also generated. And the server device stores the consumption information of the concerned item, and displays the peripheral item information corresponding to the concerned item on the second browsing page according to the consumption information of the concerned item.

本發明提供一實施例,其內容在於廣告推薦系統之方法,其中該消費資訊進一步包含該至少一關注物品之一交易名稱、一交易日期與一交易網址。The present invention provides an embodiment, the content of which lies in the method of an advertisement recommendation system, wherein the consumption information further includes a transaction name, a transaction date, and a transaction URL of the at least one item of interest.

本發明提供一實施例,其內容在於廣告推薦系統之方法,其中於該用戶端瀏覽該第一瀏覽頁面上至少一關注物品,並點選進入該至少關注物品之一物品頁面之步驟中,進一步包含步驟:產生至少一瀏覽資訊,傳送至該伺服裝置儲存。The present invention provides an embodiment, the content of which lies in the method of an advertisement recommendation system, wherein the user terminal browses at least one item of interest on the first browsing page, and clicks to enter the at least one item page of the item of interest, further Including steps: generating at least one browsing information and sending it to the server for storage.

本發明提供一實施例,其內容在於廣告推薦系統之方法,其中該瀏覽資訊進一步包含該至少一關注物品之一瀏覽名稱、一瀏覽日期與一瀏覽網址。The present invention provides an embodiment, the content of which lies in the method of an advertisement recommendation system, wherein the browsing information further includes a browsing name of the at least one item of interest, a browsing date, and a browsing URL.

本發明提供一實施例,其內容在於廣告推薦系統之方法,其中該周邊物品資訊於該第二瀏覽頁面之一顯示比重與該瀏覽日期成反比,當該瀏覽日期越久遠,則該顯示比重越少,而該瀏覽日期越近期,則該顯示比重越多。The present invention provides an embodiment, the content of which lies in the method of an advertisement recommendation system, wherein the display proportion of the peripheral item information on one of the second browsing pages is inversely proportional to the browsing date, and the longer the browsing date, the higher the display proportion Less, and the more recent the browsing date, the more the display weight.

本發明提供一實施例,其內容在於廣告推薦系統之方法,其中該至少一關注物品係為該用戶端之至少一上傳記錄所對應之一上傳物品、該用戶端之至少一分享記錄所對應之一分享物品與該用戶端之至少一檢索記錄所對應之一檢索物品。The present invention provides an embodiment, the content of which lies in the method of an advertisement recommendation system, wherein the at least one item of interest is one of the uploaded items corresponding to at least one upload record of the user end, and at least one sharing record of the user end corresponds to A shared item is retrieved items corresponding to at least one retrieval record of the user terminal.

為使 貴審查委員對本發明之特徵及所達成之功效有更進一步之瞭解與認識,謹佐以實施例及配合說明,說明如後:In order to enable your reviewer to have a further understanding and understanding of the features of the present invention and the effects achieved, the following examples and accompanying descriptions are provided. The description is as follows:

有鑑於以物易物平台上推薦系統僅能依據瀏覽記錄來選擇推薦內容,無法隨時因用戶端的交易行為進行變更,使推薦內容過於單調的影響,本發明提出一種廣告推薦系統之方法以解決習知技術所造成之問題。In view of the fact that the recommendation system on the bartering platform can only select recommended content based on browsing records, and cannot change at any time due to the transaction behavior of the user side, the recommended content is too monotonous. The present invention proposes a method for an advertisement recommendation system to solve the problem. Know the problems caused by technology.

以下,將進一步說明本發明之一種廣告推薦系統之方法所包含之特性、所搭配之結構及其方法:Hereinafter, the features included in the method of the advertisement recommendation system of the present invention, the structure and the method thereof will be further described:

請參閱第1圖,其係本發明之一種廣告推薦系統之方法之流程圖。如第1圖所示,本發明之一種廣告系統之方法,其步驟包含:Please refer to Figure 1, which is a flowchart of an advertisement recommendation system method of the present invention. As shown in Figure 1, the method of an advertising system of the present invention includes the following steps:

S1:用戶端使用電子裝置依據應用程式顯示第一瀏覽頁面;S1: The client uses the electronic device to display the first browsing page according to the application;

S3:用戶端瀏覽第一瀏覽頁面上關注物品,並點選進入關注物品之物品頁面;S3: The client browses the item of interest on the first browse page, and clicks to enter the item page of the item of interest;

S5:用戶端購買關注物品,並產生關注物品之消費資訊;S5: The client purchases the concerned item and generates consumption information of the concerned item;

S7:伺服裝置儲存消費資訊;及S7: The server device stores consumer information; and

S9:伺服裝置顯示第二瀏覽頁面,第二瀏覽頁面依據消費資訊顯示對應關注物品之周邊物品資訊。S9: The server device displays the second browsing page, and the second browsing page displays the peripheral item information corresponding to the item of interest based on the consumption information.

接著說明為達成本發明之一種廣告推薦系統之方法所需之系統,並請參閱第2-4圖,其分別係本發明之一種廣告推薦系統之方法之系統示意圖、本發明之第一瀏覽頁面之示意圖以及本發明之第二瀏覽頁面之示意圖。如圖所示,本發明之一種廣告推薦系統之方法之系統包含:一電子裝置1及一伺服裝置2,該伺服裝置2接收及儲存至少一瀏覽資訊21與一消費資訊22。Next, explain the system required to achieve the method of an advertisement recommendation system of the invention, and refer to Figures 2-4, which are the schematic diagrams of the method of the advertisement recommendation system of the invention and the first browsing page of the invention. The schematic diagram and the schematic diagram of the second browsing page of the present invention. As shown in the figure, the method of an advertisement recommendation system of the present invention includes an electronic device 1 and a server device 2, and the server device 2 receives and stores at least one browsing information 21 and one consumption information 22.

如步驟S1所示,一用戶端使用該電子裝置1,並依據一應用程式顯示一第一瀏覽頁面11。其中該電子裝置1係為一智慧型手機、一個人數位助理(PDA)、一筆記型電腦、一桌上型電腦或一平板電腦等。As shown in step S1, a client uses the electronic device 1 and displays a first browsing page 11 according to an application program. The electronic device 1 is a smart phone, a personal assistant (PDA), a notebook computer, a desktop computer, or a tablet computer.

接續,如步驟S3所示,當該用戶端瀏覽該第一瀏覽頁面11上至少一關注物品13,其該至少一關注物品13隨意顯示於該第一瀏覽頁面11上(如第3圖所示),並依據該用戶端的喜好需求點選進入該至少一關注物品13之一物品頁面時。在進入該至少一關注物品13之一物品頁面的同時,產生相對應該至少一關注物品13之該至少一瀏覽資訊21,並傳送至該伺服裝置2進行儲存。Continuing, as shown in step S3, when the user terminal browses at least one item of interest 13 on the first browsing page 11, the at least one item of interest 13 is randomly displayed on the first browsing page 11 (as shown in Figure 3) ), and click to enter an item page of the at least one item of interest 13 according to the preferences and requirements of the user terminal. When entering an item page of the at least one item of interest 13, the at least one browsing information 21 corresponding to the at least one item of interest 13 is generated and sent to the server 2 for storage.

接續上述,其中該至少一關注物品13係為該用戶端之至少一上傳記錄所對應之一上傳物品、該用戶端之至少一分享記錄所對應之一分享物品與該用戶端之至少一檢索記錄所對應之一檢索物品。藉由該用戶端儲存於該伺服裝置2之該至少一上傳記錄、該至少一分享記錄與該至少一檢索記錄,於該第一瀏覽頁面11顯示所相對應之該至少一關注物品13。且該瀏覽資訊21進一步包含該至少一關注物品13之一瀏覽名稱、一瀏覽日期與一瀏覽網址。Following the above, the at least one item of interest 13 is one of the uploaded items corresponding to at least one upload record of the client, one of the shared items corresponding to at least one shared record of the client and at least one search record of the client The corresponding one retrieves the item. With the at least one upload record, the at least one sharing record, and the at least one retrieval record stored in the server 2 by the client, the corresponding at least one item of interest 13 is displayed on the first browsing page 11. And the browsing information 21 further includes a browsing name, a browsing date, and a browsing URL of the at least one attention item 13.

如步驟S5所示,當該用戶端依據自身的喜好需求購買該至少一關注物品13,並在購買同時產生該至少一關注物品13之該消費資訊22。其中該消費資訊22進一步包含該至少一關注物品13之一交易名稱、一交易日期與一交易網址。As shown in step S5, when the user terminal purchases the at least one item of interest 13 according to its own preferences, and generates the consumption information 22 of the at least one item of interest 13 while purchasing. The consumption information 22 further includes a transaction name, a transaction date, and a transaction URL of the at least one item of interest 13.

接續步驟S5,如步驟S7所示,該伺服裝置2接收該消費資訊22並儲存該消費資訊22。Following step S5, as shown in step S7, the server 2 receives the consumption information 22 and stores the consumption information 22.

並於步驟S9所示,於購物完後,該伺服裝置2顯示一第二瀏覽頁面12,該第二瀏覽頁面12依據該消費資訊22顯示對應該至少一關注物品13之一周邊物品資訊133,其該至少一關注物品13之該周邊物品資訊133隨意顯示於該第二瀏覽頁面12上(如第4圖所示)。且該周邊物品資訊133依據該消費資訊22調整一顯示比重。當該至少一關注物品13具有該消費資訊22時,該至少一關注物品13之該周邊物品資訊133顯示比重會多於沒有該消費資訊22的該至少一關注物品13之該周邊物品資訊133。And in step S9, after shopping, the server device 2 displays a second browsing page 12, and the second browsing page 12 displays the peripheral item information 133 corresponding to at least one item of interest 13 according to the consumption information 22. The peripheral item information 133 of the at least one item of interest 13 is randomly displayed on the second browsing page 12 (as shown in FIG. 4). And the peripheral item information 133 adjusts a display proportion according to the consumption information 22. When the at least one item of interest 13 has the consumption information 22, the display proportion of the peripheral item information 133 of the at least one item of interest 13 will be greater than that of the at least one item of interest 13 without the consumption information 22.

接續上述,該至少一關注物品13之該周邊物品資訊133於該第二瀏覽頁面12之該顯示比重與該至少一關注物品13之該瀏覽日期成反比。因此,當該瀏覽日期越久遠,則該顯示比重越少,而該瀏覽日期越近期,則該顯示比重越多。Following the above, the display proportion of the peripheral item information 133 of the at least one item of interest 13 on the second browsing page 12 is inversely proportional to the browsing date of the at least one item of interest 13. Therefore, the longer the browsing date, the less the display proportion, and the more recent the browsing date, the more the display proportion.

本發明之該周邊物品資訊133為該至少一關注物品13之相關周邊物品或是可與該至少一關注物品13搭配使用的物品之資訊。好比當該至少一關注物品13為PS4遊戲主機時,該周邊物品資訊133即為PS4周邊的遊戲片或是可與PS4遊戲主機相搭配使用的遊戲手把、傳輸線等。The peripheral item information 133 of the present invention is related peripheral items of the at least one item of interest 13 or information of items that can be used with the at least one item of interest 13. For example, when the at least one item of interest 13 is a PS4 game console, the peripheral item information 133 is a game piece around the PS4 or a game handle and transmission line that can be used with the PS4 game console.

接續上述,當用戶端購買PS4周邊的遊戲片時,遊戲片即成為該至少一關注物品13,而該周邊物品資訊133即為與遊戲片相對應的角色吊飾或是可收藏遊戲片的收納盒等。Following the above, when the user terminal purchases PS4 peripheral game pieces, the game piece becomes the at least one attention item 13, and the peripheral item information 133 is the character pendant corresponding to the game piece or the storage of the collectible game piece Boxes etc.

以下為本發明之廣告推薦系統之方法之實際運用說明:The following is the practical application description of the method of the advertisement recommendation system of the present invention:

當用戶端使用電子裝置1依據應用程式顯示第一瀏覽頁面11,並瀏覽第一瀏覽頁面11上的關注物品13,此關注物品13為用戶端的上傳記錄、分享記錄與檢索記錄中所相對應之物品。並點選用戶端感興趣的關注物品13,進入關注物品13的物品頁面。並在進入物品頁面時,產生相對應關注物品之瀏覽資訊21,包含關注物品13之瀏覽名稱、瀏覽日期與瀏覽網址,並傳送至伺服裝置2儲存。When the user terminal uses the electronic device 1 to display the first browsing page 11 according to the application program, and browse the concerned item 13 on the first browsing page 11, the concerned item 13 is corresponding to the upload record, sharing record and retrieval record of the client article. And click on the item of interest 13 that the user is interested in to enter the item page of item 13 of interest. And when entering the article page, the browsing information 21 corresponding to the concerned article is generated, including the browsing name, browsing date and browsing URL of the concerned article 13, and sent to the server 2 for storage.

該用戶端依據自身的需求購買關注物品13,並在購買同時產生關注物品13之消費資訊22。包含關注物品13之交易名稱、交易日期與交易網址。並傳送至伺服裝置2儲存。The user terminal purchases the concerned item 13 according to its own needs, and generates consumption information 22 of the concerned item 13 at the same time as the purchase. Contains the transaction name, transaction date and transaction URL of the item of interest 13. And send it to the server 2 for storage.

於購物完後,伺服裝置2顯示第二瀏覽頁面12,第二瀏覽頁面12則依據消費資訊22顯示對應關注物品13之周邊物品資訊133。且周邊物品資訊133依據消費資訊22調整顯示比重。當關注物品13具有消費資訊22時,則關注物品13之周邊物品資訊133顯示比重會多於沒有消費資訊22的關注物品13之周邊物品資訊133。After the shopping, the server 2 displays the second browsing page 12, and the second browsing page 12 displays the peripheral item information 133 corresponding to the concerned item 13 according to the consumption information 22. And the peripheral item information 133 adjusts the display proportion according to the consumption information 22. When the item of interest 13 has the consumption information 22, the display proportion of the peripheral item information 133 of the item of interest 13 will be greater than that of the item of interest 13 without the consumption information 22.

此外,關注物品13之周邊物品資訊133於第二瀏覽頁面12之顯示比重與至關注物品13之瀏覽日期成反比,當瀏覽日期越久遠,則該顯示比重越少,而該瀏覽日期越近期,則該顯示比重越多。例如:當關注物品13的瀏覽日期為7/20,而另一關注物品13的瀏覽日期為8/19時,8/19的關注物品13之周邊物品資訊133顯示比重會多於7/20的關注物品13之周邊物品資訊133。In addition, the display proportion of the peripheral item information 133 of the attention item 13 on the second browsing page 12 is inversely proportional to the browsing date to the attention item 13. The longer the browsing date, the less the display proportion, and the more recent the browsing date. The more the display proportion. For example: when the browsing date of the concerned item 13 is 7/20 and the browsing date of another concerned item 13 is 8/19, the surrounding item information 133 of the concerned item 13 on 8/19 will show more than 7/20 Pay attention to the peripheral item information of item 13 133.

故本發明實為一具有新穎性、進步性及可供產業上利用者,應符合我國專利法專利申請要件無疑,爰依法提出發明專利申請,祈 鈞局早日賜准專利,至感為禱。Therefore, the present invention is truly novel, progressive, and available for industrial use. It should meet the patent application requirements of my country's patent law. Undoubtedly, I filed an application for a patent for invention in accordance with the law. I pray that the Bureau will grant the patent as soon as possible.

惟以上所述者,僅為本發明之較佳實施例而已,並非用來限定本發明實施之範圍,舉凡依本發明申請專利範圍所述之形狀、構造、特徵及精神所為之均等變化與修飾,均應包括於本發明之申請專利範圍內。However, the above are only the preferred embodiments of the present invention, and are not used to limit the scope of implementation of the present invention. For example, the shapes, structures, features and spirits described in the scope of the patent application of the present invention are equally changed and modified. , Should be included in the scope of patent application of the present invention.

1‧‧‧電子裝置11‧‧‧第一瀏覽頁面12‧‧‧第二瀏覽頁面13‧‧‧關注物品133‧‧‧周邊物品資訊2‧‧‧伺服裝置21‧‧‧瀏覽資訊22‧‧‧消費資訊S1-S9‧‧‧步驟1‧‧‧Electronic device 11‧‧‧First browsing page 12‧‧‧Second browsing page 13‧‧‧Following items 133‧‧‧Peripheral item information 2‧‧‧Servo device 21‧‧‧Browsing information 22‧‧ ‧Consumer Information S1-S9‧‧‧Steps

第1圖:其係本發明之一種廣告推薦系統之方法之流程圖; 第2圖:其係本發明之一種廣告推薦系統之方法之系統示意圖; 第3圖:其係本發明之第一瀏覽頁面之示意圖;以及 第4圖:其係本發明之第二瀏覽頁面之示意圖。Figure 1: It is a flow chart of an advertising recommendation system method of the present invention; Figure 2: It is a system schematic diagram of an advertising recommendation system method of the present invention; Figure 3: It is the first view of the present invention The schematic diagram of the page; and Figure 4: It is the schematic diagram of the second browsing page of the present invention.

S1~S9‧‧‧步驟流程 S1~S9‧‧‧Step Process

Claims (3)

一種廣告推薦系統之方法,其步驟包含:一用戶端使用一電子裝置依據一應用程式顯示一第一瀏覽頁面;該用戶端瀏覽該第一瀏覽頁面上至少一關注物品,並點選進入該至少一關注物品之一物品頁面,並產生至少一瀏覽資訊,傳送至一伺服裝置儲存,該瀏覽資訊包含該至少一關注物品之一瀏覽名稱與一瀏覽日期;該用戶端購買該至少一關注物品,並產生該至少一關注物品之一消費資訊;該伺服裝置儲存該消費資訊;及該伺服裝置顯示一第二瀏覽頁面,該第二瀏覽頁面依據該消費資訊顯示對應該至少一關注物品之一周邊物品資訊;其中,該至少一關注物品係為該用戶端之至少一上傳記錄所對應之一上傳物品,該周邊物品資訊於該第二瀏覽頁面之一顯示比重與該瀏覽日期成反比,當該瀏覽日期越久遠,則該顯示比重越少,而該瀏覽日期越近期,則該顯示比重越多。 An advertisement recommendation system method, the steps include: a user terminal uses an electronic device to display a first browsing page according to an application; the user terminal browses at least one item of interest on the first browsing page, and clicks to enter the at least An item page of an item of interest, and at least one browsing information is generated and sent to a server for storage, the browsing information includes a browsing name of the at least one item of interest and a browsing date; the client purchases the at least one item of interest, And generate consumption information of the at least one item of interest; the server device stores the consumption information; and the server device displays a second browsing page, and the second browsing page displays a periphery corresponding to the at least one item of interest based on the consumption information Item information; wherein the at least one item of interest is one of the uploaded items corresponding to at least one upload record of the user terminal, and the proportion of the peripheral item information displayed on one of the second browsing pages is inversely proportional to the browsing date, when the The longer the browsing date, the less the display weight, and the more recent the viewing date, the more the display weight. 如申請專利範圍第1項所述之廣告推薦系統之方法,其中該消費資訊進一步包含該至少一關注物品之一交易名稱、一交易日期與一交易網址。 For example, in the method of the advertisement recommendation system described in claim 1, wherein the consumption information further includes a transaction name, a transaction date, and a transaction website of the at least one item of interest. 如申請專利範圍第1項所述之廣告推薦系統之方法,其中該瀏覽資訊進一步包含該至少一關注物品之一瀏覽網址。 According to the method of the advertisement recommendation system described in claim 1, wherein the browsing information further includes a browsing website of one of the at least one item of interest.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201413619A (en) * 2012-09-17 2014-04-01 Alibaba Group Services Ltd Recommending product information
TWI515676B (en) * 2010-11-15 2016-01-01 Alibaba Group Holding Ltd Recommended methods and systems for product information
TWI554957B (en) * 2013-11-25 2016-10-21 雅虎股份有限公司 The recommendation of promotion discount combo based on selected items
TW201638847A (en) * 2015-04-30 2016-11-01 Ku Ying Co Ltd Intelligent network marketing analysis and judgment method
TW201732708A (en) * 2016-03-09 2017-09-16 移通數碼科技股份有限公司 Real-time feedback system and real-time feedback method relating to user behavior

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI515676B (en) * 2010-11-15 2016-01-01 Alibaba Group Holding Ltd Recommended methods and systems for product information
TW201413619A (en) * 2012-09-17 2014-04-01 Alibaba Group Services Ltd Recommending product information
TWI554957B (en) * 2013-11-25 2016-10-21 雅虎股份有限公司 The recommendation of promotion discount combo based on selected items
TW201638847A (en) * 2015-04-30 2016-11-01 Ku Ying Co Ltd Intelligent network marketing analysis and judgment method
TW201732708A (en) * 2016-03-09 2017-09-16 移通數碼科技股份有限公司 Real-time feedback system and real-time feedback method relating to user behavior

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