TWI667932B - Self-adapted travel planning recommendation method - Google Patents

Self-adapted travel planning recommendation method Download PDF

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TWI667932B
TWI667932B TW106134068A TW106134068A TWI667932B TW I667932 B TWI667932 B TW I667932B TW 106134068 A TW106134068 A TW 106134068A TW 106134068 A TW106134068 A TW 106134068A TW I667932 B TWI667932 B TW I667932B
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Taiwan
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interest
point
travel
data
personal
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TW106134068A
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Chinese (zh)
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TW201916704A (en
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李宜蓁
黃錦繡
黃勝峻
徐鵬湧
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雄獅資訊科技股份有限公司
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Abstract

本發明係一種自適化行程規劃推薦方法,該方法係使一旅遊伺服器接收到一終端裝置傳來的一行程規劃訊息後,該旅遊伺服器會根據該行程規劃訊息的個人識別碼及目的地名稱,自一興趣點資料庫中,選取匹配的興趣點資料表,進而行成複數筆行程推薦訊息,之後,該旅遊伺服器會對該等行程推薦訊息進行優化排序,且依序傳送至該終端裝置,如此,使用者於終端裝置上所看到的推薦景點,均會鄰近於目的地名稱,且符合使用者的喜好,令使用者能便利且迅速地排定整個旅遊行程。 The present invention is an adaptive travel planning recommendation method, which is such that after a travel server receives a travel planning message from a terminal device, the travel server will plan a personal identification number and destination according to the travel plan information. Name, from a point of interest database, select a matching point of interest data table, and then into a plurality of itinerary recommendation messages, after which the travel server will optimize the ranking of the itinerary recommendation messages, and sequentially transmit to the The terminal device, in this way, the recommended spots that the user sees on the terminal device are adjacent to the destination name and conform to the user's preference, so that the user can conveniently and quickly schedule the entire travel itinerary.

Description

自適化行程規劃推薦方法  Self-adapted travel planning recommendation method  
本發明係關於推薦旅遊興趣點的方法,尤指一種能夠根據使用者之喜好,自動地篩選出複數個興趣點,並在使用者規劃旅遊行程時,將該等興趣點推薦予使用者的方法。 The present invention relates to a method for recommending a tourist interest point, and more particularly to a method for automatically screening a plurality of points of interest according to a user's preference, and recommending the points of interest to the user when the user plans a travel itinerary. .
近年來,隨著各式電子通訊裝置、雲端儲存裝置及網際網路之快速發展,各式「旅遊資訊」充斥網路,令許多嚮往自助旅遊的人們,誤以為僅憑隨手可得之免費資訊,即能在省錢、省事之前提下,順利完成自助旅遊中景點及行程之事前規劃,並據以愉快且安全地實現自助旅遊,更因此令自助旅遊蔚為風潮。 In recent years, with the rapid development of various electronic communication devices, cloud storage devices and the Internet, various "tourism information" has flooded the Internet, making many people who yearn for self-help travels think that they are free of charge. That is, before saving money and saving trouble, we can successfully complete the pre-planning of the attractions and itineraries in the self-help travel, and realize the self-help travel according to the pleasant and safe, so that the self-service travel is a trend.
一般言,自助旅遊(或半自助旅遊)係指不完全依賴旅行社套裝行程的一種旅遊方式,也就是說,完全係由旅行者自行安排景點、行程、交通及食宿,因此,自助旅遊者在食、住、行、遊、購、娛等方面的選擇性,更傾向於按個人喜好來安排,也因此,任何專業旅遊網站、個人旅遊部落格(Blog)或旅遊網路論壇所發表之「旅遊資訊」無可避免地都參雜著發表人欲達成某一商業目的、置入性行銷目的或其個人特殊喜好之主觀見解,其不僅不適用於一般閱覽者,甚至,可能會導致閱覽者因理解錯誤,而產生無法預期的結果,令閱覽者據以實現自助旅遊時極易陷入必須自行 承擔錯誤之風險。 Generally speaking, self-service travel (or semi-self-help travel) refers to a type of travel that does not rely entirely on travel agency package travel, that is, it is entirely the traveler who arranges the sights, itinerary, transportation and accommodation, so the self-help traveler is The choice of food, housing, travel, travel, purchase, entertainment, etc. is more inclined to be arranged according to personal preferences, and therefore, any professional travel website, personal travel blog (Blog) or travel network forum published " Travel information" is inevitably subject to the subjective opinion of the publisher to achieve a business purpose, for the purpose of marketing or personal preference, not only for general viewers, but may even lead to viewers. Unexpected results due to misunderstandings, making it easy for viewers to risk self-traffic when they are self-help.
其次,人們在規劃旅遊景點及行程,或在旅遊途中查找相關資料時,通常均係利用一終端裝置,如:行動通訊裝置或電腦裝置,透過網際網路,連線至一搜尋引擎伺服器(search engine server,如:google、yahoo、msn search...等),且在該終端裝置上輸入一查詢字串,以期該搜尋引擎伺服器能針對該查詢字串,搜尋到相關之專業旅遊網站、個人旅遊部落格(Blog)或旅遊網路論壇,且將搜尋結果呈現至該終端裝置,供查詢人逐一點選參考,其查詢過程看似簡易,任何人均能輕易上手,但是,搜尋引擎伺服器卻只能單純地針對該查詢字串之本身,回饋所有與其相關之網站,使用者若對搜索到的旅遊資訊深感興趣時,則只能自行儲存相關網頁資料,且在日後規劃行程時,尚必須自行由眾多已儲存的網頁資料中,一一檢視,並查找出符合旅遊地點的旅遊資訊。 Secondly, when planning tourist attractions and itineraries, or looking for relevant information while traveling, people usually use a terminal device, such as a mobile communication device or a computer device, to connect to a search engine server via the Internet ( Search engine server, such as: google, yahoo, msn search, etc., and input a query string on the terminal device, so that the search engine server can search for the relevant professional travel website for the query string. , personal travel blog (Blog) or travel network forum, and the search results are presented to the terminal device, for the queryer to select one by one, the query process seems to be simple, anyone can easily get started, but the search engine servo However, the device can only respond to all the related websites according to the query string itself. If the user is deeply interested in the searched travel information, he can only store the relevant webpage data by himself and plan the trip in the future. It is also necessary to check the information of many stored web pages and find out the travel information that matches the tourist location.
綜上所述可知,使用者在規劃旅遊行程時,是極為不便,雖然有業者推出能規劃旅遊行程的網路平台,但是,使用者仍必須自行將景點一一地填入至網路平台,且必須自行檢索鄰近各個景點的其它景點,才能夠妥善地安排好每日旅遊行程,此舉,顯然會耗費使用者過多時間與心力,故,如何設計出一種更優良的行程規劃推薦系統,解決使用者平常難統整各類旅遊資訊的困擾外,同時依使用者特性提供行程規劃推薦,讓使用者在旅遊資訊收集、行程規劃時能順利完成,規劃出滿意的行程,即成為本發明在此欲探討之一重要課題。 In summary, users are extremely inconvenient when planning travel itineraries. Although some operators have launched a network platform that can plan travel itineraries, users still have to fill in the attractions one by one to the Internet platform. It is necessary to search for other attractions in the vicinity of each attraction to be able to properly arrange the daily travel itinerary. This will obviously cost the user too much time and effort. Therefore, how to design a better trip planning recommendation system to solve It is difficult for users to integrate all kinds of travel information, and at the same time, it provides travel planning recommendations according to user characteristics, so that users can successfully complete travel information collection and trip planning, and plan a satisfactory trip, which becomes the invention. This is an important topic to be explored.
有鑑於現有的旅遊平台於規劃行程上,仍不盡完美,造成使 用者不良的使用經驗,因此,發明人憑藉著多年的實務經驗,在經過多次實驗及研究後,終於設計出本發明之一種自適化行程規劃推薦方法,期能有效根據使用者的喜好與旅遊地點,推薦鄰近的其它景點,並能有效整合使用者感興趣的景點,大幅提升使用者規劃旅遊行程之效率。 In view of the fact that the existing travel platform is still not perfect in the planning itinerary, resulting in poor user experience, the inventor has finally designed the invention after many experiments and researches based on years of practical experience. A self-adapted itinerary planning recommendation method, which can effectively recommend other nearby attractions according to the user's preference and the tourist location, and can effectively integrate the points of interest of the user, thereby greatly improving the efficiency of the user planning the travel itinerary.
本發明之一目的,係提供一種自適化行程規劃推薦方法,該方法係應用至一旅遊行程規劃系統,該旅遊行程規劃系統包括一旅遊伺服器及至少一終端裝置,其中,該旅遊行程規劃系統能透過網際網路,與各該終端裝置相連線,其內設有一會員資料庫及一興趣點資料庫,該會員資料庫內儲存有複數筆用戶資料表,該等用戶資料表內分別包括一用戶識別碼,該興趣點資料庫內儲存有複數筆第一興趣點資料表及複數筆個人興趣點資料表,該等第一興趣點資料表與該等個人興趣點資料表內分別至少包括一興趣點識別碼、一興趣點名稱、一地理標籤、一城市標籤、一動線標籤及一興趣點屬性標籤,且該等個人興趣點資料表尚分別包括各該用戶識別碼,各該終端裝置內分別安裝一應用程式,在各該終端裝置運行對應之應用程式,且傳送一行程規劃訊息至該旅遊伺服器後,該旅遊伺服器會根據該行程規劃訊息所包括之一個人識別碼,取得對應之用戶識別碼,並根據該用戶識別碼所對應之各該個人興趣點資料表,及根據該目的地名稱所對應之城市標籤與對應之動線標籤,執行配對搜尋,以自該興趣點資料庫中,選取匹配的第一興趣點資料表與個人興趣點資料表,再將前述匹配的各該第一興趣點資料表與各該個人興趣點資料表,轉換成對應之行程推薦訊息,以進行優化排序,且根據排序結果,依序將各該行程推薦訊息傳送至該終端裝置,以使該終端裝置之顯示幕能顯示各該行程推薦訊息。 An object of the present invention is to provide an adaptive travel planning recommendation method, which is applied to a travel itinerary planning system, the travel itinerary planning system comprising a travel server and at least one terminal device, wherein the travel itinerary planning system The user network can be connected to each terminal device through the Internet, and has a member database and a point of interest database. The member database stores a plurality of user data sheets, and the user data sheets respectively include a user identification code, the first point of interest data table and the plurality of personal interest point data tables are stored in the point of interest database, and the first point of interest data table and the personal point of interest data table respectively include at least a point of interest identification code, a point of interest name, a geographic label, a city label, a moving line label, and a point of interest attribute label, and the personal point of interest data table further includes each of the user identification codes, each of the terminal devices Install an application separately, run a corresponding application on each terminal device, and transmit a trip planning message to the tour After the server, the travel server obtains a corresponding user identification code according to one of the personal identification codes included in the travel planning message, and according to the personal interest point data table corresponding to the user identification code, and according to the destination The city tag corresponding to the name and the corresponding moving line tag perform a pairing search to select a matching first point of interest data table and a personal interest point data table from the point of interest database, and then match each of the foregoing a point of interest data table and each of the personal interest point data tables are converted into corresponding trip recommendation information for optimal sorting, and according to the sorting result, each travel recommendation message is sequentially transmitted to the terminal device, so that the terminal The display screen of the device can display the recommended information for each trip.
為便 貴審查委員能對本發明目的、技術特徵及其功效,做更進一步之認識與瞭解,茲舉實施例配合圖式,詳細說明如下: For your convenience, the review committee can make a further understanding and understanding of the purpose, technical features and effects of the present invention. The embodiments are combined with the drawings, and the details are as follows:
〔習知〕  [study]  
No
〔本發明〕  〔this invention〕  
1‧‧‧旅遊伺服器 1‧‧‧Travel Server
11‧‧‧會員資料庫 11‧‧‧Member Database
12‧‧‧用戶資料表 12‧‧‧User Information Sheet
121‧‧‧用戶識別碼 121‧‧‧User ID
123‧‧‧個人屬性標籤 123‧‧‧personal attribute label
125‧‧‧個人隱私標籤 125‧‧‧Personal Privacy Label
127‧‧‧收藏標籤 127‧‧‧Collection labels
13‧‧‧興趣點資料庫 13‧‧‧Points of Interest Database
14‧‧‧第一興趣點資料表 14‧‧‧First Point of Interest Data Sheet
141、151‧‧‧興趣點識別碼 141, 151‧‧‧ interest point identification code
142、152‧‧‧興趣點名稱 142, 152‧‧‧Point of interest
143、153‧‧‧地理標籤 143, 153‧‧ ‧ geotag
144、154‧‧‧城市標籤 144, 154‧ ‧ city label
145、155‧‧‧動線標籤 145, 155‧‧‧ moving line label
146、156‧‧‧興趣點屬性標籤 146, 156‧‧‧ interest point attribute label
15‧‧‧個人興趣點資料表 15‧‧‧personal point of interest data sheet
157‧‧‧自定用戶識別碼 157‧‧‧Custom User ID
16‧‧‧行程組件資料表 16‧‧‧Travel component data sheet
161‧‧‧組件識別碼 161‧‧‧Component ID
162‧‧‧組件名稱 162‧‧‧Component name
163‧‧‧組件城市標籤 163‧‧‧Component City Label
164‧‧‧組件屬性標籤 164‧‧‧Component attribute label
165‧‧‧組件內容 165‧‧‧Component content
2‧‧‧終端裝置 2‧‧‧ Terminal devices
20‧‧‧顯示幕 20‧‧‧ display screen
21‧‧‧應用程式 21‧‧‧Application
301~306、401~407‧‧‧步驟 301~306, 401~407‧‧‧ steps
S‧‧‧旅遊行程規劃系統 S‧‧‧Travel Itinerary Planning System
T‧‧‧網際網路 T‧‧‧Internet
M1‧‧‧新增興趣點圖標 M1‧‧‧Addition of points of interest icon
M2‧‧‧行程規劃圖標 M2‧‧‧ Itinerary planning icon
H1‧‧‧自定興趣點畫面 H1‧‧‧Customized point of interest screen
第1圖係本發明之旅遊行程規劃系統的架構示意圖;第2圖係本發明之用戶資料表的示意圖;第3圖係本發明之第一興趣點資料表的示意圖;第4圖係本發明之個人興趣點資料表的示意圖;第5圖係本發明之一網頁的示意圖;第6圖係本發明之自定興趣點畫面的示意圖;第7圖係本發明之建立個人興趣點資料表的流程圖;第8圖係本發明之行程規劃頁面的示意圖;第9圖係本發明之推薦興趣點的流程圖;及第10圖係本發明之行程組件資料表的示意圖。 1 is a schematic diagram of the architecture of the travel itinerary planning system of the present invention; FIG. 2 is a schematic diagram of a user profile of the present invention; FIG. 3 is a schematic diagram of a first point of interest data table of the present invention; A schematic diagram of a personal interest point data table; FIG. 5 is a schematic diagram of a webpage of the present invention; FIG. 6 is a schematic diagram of a self-defined point of interest screen of the present invention; and FIG. 7 is a table of establishing a personal interest point of the present invention. FIG. 8 is a schematic diagram of a trip planning page of the present invention; FIG. 9 is a flowchart of a recommended point of interest of the present invention; and FIG. 10 is a schematic diagram of a trip component data sheet of the present invention.
本發明係一種自適化行程規劃推薦方法,其主要目的,是在使用者規劃旅遊行程時,能夠推薦使用者最有可能感興趣的「興趣點(point of interest,簡稱POI)」或「活動行程(即,多個興趣點組合)」,同時,本發明所推薦之「興趣點」,除了能夠由業者內建之外,亦能夠由使用者自行定義,如此,藉由本發明之方法與其系統,能夠使推薦內容更為個人化,以滿足且貼近每一個使用者的不同旅遊需求,故,本發明後續會針對「如何自行定義『興趣點』」、「如何推薦『興趣點』」、「如何推薦『活動行程』」及 「如何就推薦內容進行優化排序」等流程,進行說明。 The present invention is a method for recommending an adaptive trip planning, the main purpose of which is to recommend a "point of interest (POI)" or "activity trip" that the user is most likely to be interested in when planning a travel itinerary. (ie, a combination of multiple points of interest), and at the same time, the "point of interest" recommended by the present invention can be defined by the user in addition to being built by the operator, and thus, by the method and system thereof, The recommendation content can be more personalized to meet and meet the different travel needs of each user. Therefore, the present invention will be directed to "how to define "points of interest", "how to recommend "points of interest"", and "how to We will explain the processes such as "Activity Trip" and "How to Optimize Sorting Recommended Contents".
請參閱第1圖所示,本發明之方法能應用至一旅遊行程規劃系統S,在一實施例中,該旅遊行程規劃系統S包括一旅遊伺服器1及至少一終端裝置2(如:個人電腦、智慧型手機、平板電腦...等),該旅遊行程規劃系統S能透過網際網路T,與各該終端裝置2相連線,以接收各該終端裝置2傳來的訊息,或傳送訊息至各該終端裝置2,其中,該旅遊伺服器1內設有一會員資料庫11及一興趣點資料庫13,在此特別一提者,在第1圖中雖然將會員資料庫11及興趣點資料庫13建置於旅遊伺服器1內,但是,本發明之其它實施例中,該會員資料庫11及興趣點資料庫13亦可建置於其它單一或多個伺服器中,且各該伺服器能夠與該旅遊伺服器1相連接,以供旅遊伺服器1能取得其它伺服器內之會員資料庫11及興趣點資料庫13的資訊;此外,該會員資料庫11及興趣點資料庫13亦可整合為單一個資料庫。 Referring to FIG. 1, the method of the present invention can be applied to a travel itinerary planning system S. In an embodiment, the travel itinerary planning system S includes a travel server 1 and at least one terminal device 2 (eg, an individual) a computer, a smart phone, a tablet, etc., the travel itinerary planning system S can be connected to each of the terminal devices 2 via the Internet T to receive the messages from the terminal devices 2, or Sending a message to each of the terminal devices 2, wherein the travel server 1 is provided with a member database 11 and a point of interest database 13, and in particular, in the first figure, the member database 11 and The point of interest database 13 is built in the travel server 1, but in other embodiments of the present invention, the member database 11 and the point of interest database 13 may be built in other single or multiple servers, and Each of the servers can be connected to the travel server 1 for the travel server 1 to obtain information of the member database 11 and the point of interest database 13 in other servers; in addition, the member database 11 and points of interest The database 13 can also be integrated into a single resource. Library.
請參閱第1及2圖所示,在該實施例中,該會員資料庫11內儲存有複數筆用戶資料表12,該等用戶資料表12內分別至少包括一用戶識別碼121,該用戶識別碼121能夠為使用者的註冊帳號、手機號碼或手機唯一碼(International Mobile Equipment Identity,簡稱IMEI)...等,其主要是用來代表該用戶資料表12所對應的使用者身份,又,該用戶資料表12中尚包括至少一個個人屬性標籤123,例如:用戶識別碼121為「U1」的使用者,其用戶資料表12內包括了「品茗」、「攝影」、「財經」等三種個人屬性標籤123,其中,各該個人屬性標籤123的產生方式能夠包括下列方式:(1)使用者能透過終端裝置2上所安裝的一應用程式21(如:APP、網頁瀏覽器...等),向商家的伺服器進行註冊,且在註冊過程中,能在商家所提 供的表單上,自行選填喜好的種類,例如:「品茗」,則前述選填的種類即會被設定為對應的個人屬性標籤123,且添加至用戶資料表12中;(2)使用者在「自行定義『興趣點(如:大阪生活館)』」(相關流程會在後續實施例中進行說明)後,前述「自行定義『興趣點(如:大阪生活館)』」所對應的屬性(如:購物),會被設定為對應的個人屬性標籤123,且添加至用戶資料表12中;(3)使用者透過該應用程式21瀏覽網頁,該應用程式21能根據使用者的瀏覽記錄,判斷出使用者的興趣,例如:使用者頻繁點擊或搜索「財經」的相關網頁或店家,則「財經」會被設定為對應的個人屬性標籤123,且添加至用戶資料表12中。 Referring to FIG. 1 and FIG. 2, in the embodiment, the member database 11 stores a plurality of user data tables 12, and each of the user data tables 12 includes at least one user identification code 121, and the user identification The code 121 can be a user's registered account number, a mobile phone number, or an International Mobile Equipment Identity (IMEI), etc., which is mainly used to represent the user identity corresponding to the user profile 12, and The user profile 12 further includes at least one personal attribute tag 123. For example, the user ID 121 is a user of "U1", and the user profile 12 includes "pick", "photography", "finance", and the like. The three personal attribute tags 123, wherein each of the personal attribute tags 123 can be generated in the following manner: (1) The user can access an application 21 installed on the terminal device 2 (eg, APP, web browser: , etc.), register with the merchant's server, and during the registration process, you can select the preferred type on the form provided by the merchant, for example, "pick", then the selected type will be selected. It is set as the corresponding personal attribute tag 123 and added to the user profile 12; (2) the user is in "self-defining "point of interest (eg: Osaka Life Museum)" (the relevant process will be carried out in the subsequent embodiment) After the description, the attributes (such as shopping) corresponding to the "customized "point of interest (such as: Osaka Life Museum)" will be set to the corresponding personal attribute label 123, and added to the user data table 12; (3) The user browses the webpage through the application 21, and the application 21 can determine the user's interest according to the user's browsing history. For example, if the user frequently clicks or searches for the relevant page or store of "Finance", "Finance" is set to the corresponding personal attribute tag 123 and added to the user profile 12.
請參閱第1、3及4圖所示,該興趣點資料庫13內儲存有複數筆第一興趣點資料表14及複數筆個人興趣點資料表15,各該第一興趣點資料表14係為業者所建立的興趣點資料,其至少包括一興趣點識別碼141、一興趣點名稱142、一地理標籤143、一城市標籤144、一動線標籤145及一興趣點屬性標籤146,茲逐一說明各個欄位資料所代表意義如下:(A)該興趣點識別碼141係該興趣點資料的唯一識別碼(如:P1、P2、P3),且不會與其它興趣點資料相同;(B)該興趣點名稱142能夠為政府部門(如:總統府)、商業機構(如:拉麵共和國、大平原飯店、台場購物中心)、旅遊景點(如:丹頂鶴自然公園)或交通設施(如:有珠山纜車)...等;(C)該地理標籤143則為興趣點的所在位址,且能根據興趣點的實際情況,記載為單一地址(如:台北市中正區忠孝西路1段49號)或單一經緯度 (如:25,121),或是能夠為一個範圍值(如:台北市信義區市府路或25~27,121);(D)該城市標籤144係為興趣點的所在城市(如:大阪、台北);(E)該動線標籤145為該興趣點所在地之一預定期間(如:4小時、8小時...等)內能到達之城市,例如:興趣點(如:大阪生活今昔館)的所在城市為「大阪」,且由該興趣點到達至「神戶」的時間位於該預定期間內,則「神戶」能夠為大阪生活今昔館的動線標籤145(如:「大阪」+「神戶」);(F)興趣點屬性標籤146則為該興趣點之性質,例如:「一號點」為酒吧,則「品茗」、「夜生活」能分別被設定為其興趣點屬性標籤146。 Referring to Figures 1, 3 and 4, the point of interest database 13 stores a plurality of first interest point data tables 14 and a plurality of personal interest point data tables 15, each of which is a first point of interest data table 14 The point of interest data established by the operator includes at least a point of interest identification code 141, a point of interest name 142, a geographic label 143, a city label 144, a moving line label 145, and a point of interest attribute label 146. The meaning of each field data is as follows: (A) The point of interest identification code 141 is a unique identification code of the point of interest data (eg, P1, P2, P3), and will not be the same as other points of interest; (B) The point of interest name 142 can be a government department (such as the presidential palace), a commercial institution (such as: Ramen Republic, Great Plains Hotel, Odaiba shopping center), tourist attractions (such as: Red-crowned Crane Nature Park) or transportation facilities (such as: Zhushan Cable car)...etc; (C) The geographical label 143 is the address of the point of interest, and can be recorded as a single address according to the actual situation of the point of interest (eg, No. 49, Section 1, Zhongxiao West Road, Zhongzheng District, Taipei City) ) or a single latitude and longitude (eg 25,121), or Enough for a range of values (eg, Shifu Road, Xinyi District, Taipei City, 25~27, 121); (D) the city's label 144 is the city where the points of interest are located (eg Osaka, Taipei); (E) the moving line label 145 is one of the places where the point of interest is reserved (for example, 4 hours, 8 hours, etc.), for example, the city where the point of interest (such as: Osaka Life and Today Museum) is "Osaka", and The time from the point of interest to "Kobe" is within the predetermined period, and "Kobe" can be used as the moving line label 145 of Osaka Life Museum (eg "Osaka" + "Kobe"); (F) Points of Interest The tag 146 is the nature of the point of interest. For example, if the "point 1" is a bar, then "pin" and "nightlife" can be set as the point of interest attribute label 146, respectively.
復請參閱第1、3及4圖所示,該個人興趣點資料表15則為使用者所自行定義的興趣點資料,其至少包括興趣點識別碼151、興趣點名稱152、地理標籤153、城市標籤154、動線標籤155及興趣點屬性標籤156等欄位資料,該等欄位資料所代表意義如前(A)~(F)所述,又,除了前述欄位資料之外,該個人興趣點資料表15尚會包括一自定用戶識別碼157,該自定用戶識別碼157會記載建立該個人興趣點資料表15的用戶識別碼121,例如:甲使用者的用戶識別碼121為「U1」,當其建立了興趣點識別碼151為「D1」的個人興趣點資料表15後,前述個人興趣點資料表15的自定用戶識別碼157即會記載為「U1」。 Referring to Figures 1, 3 and 4, the personal interest point data table 15 is a user-defined point of interest data, which includes at least a point of interest identification code 151, a point of interest name 152, a geographical label 153, Field information such as city label 154, moving line label 155 and interest point attribute label 156, the meaning of the field data is as described in (A)~(F), and in addition to the aforementioned field data, The personal interest point data table 15 further includes a custom user identification code 157, which records the user identification code 121 for establishing the personal interest point data table 15, for example, the user identification code 121 of the user A. In the case of "U1", when the personal point of interest data table 15 whose point of interest identification code 151 is "D1" is established, the custom user identification code 157 of the personal point of interest data table 15 is described as "U1".
茲簡單說明本發明之使用者「如何自行定義『興趣點』」的流程,請參閱第1及5圖所示,當使用者透過終端裝置2運行應用程式21,且瀏覽網頁時,若使用者對網頁中的旅遊資料感興趣時,則使用者能夠點選該應用程式21中的一新增興趣點圖標M1,之後,該應用程式21會產生一瀏 覽興趣點訊息,且將該瀏覽興趣點訊息包括傳送至該旅遊伺服器1,其中,該瀏覽興趣點訊息包括當前網頁內容及該使用者的用戶識別碼121,嗣,該旅遊伺服器1會透過一智慧分析方式(如:爬蟲、萃文、解析引擎...等),比對該網頁內容是否符合任一筆第一興趣點資料表14的內容(如:興趣點名稱142及地理標籤143),若沒有相符合的資料,則該旅遊伺服器1會傳送一自定興趣點訊息至該終端裝置2,該終端裝置2接收到該自定興趣點訊息後,即會開啟一自定興趣點畫面H1(如第6圖所示),以供使用者能夠自行輸入自定興趣點資料,其中,該自定興趣點資料能夠為文字資料(如:名稱、類別、地址、描述...等)與圖片資料,又,終端裝置2將自定興趣點資料傳送回旅遊伺服器1後,該旅遊伺服器1便會根據前述自定興趣點資料,建立新的個人興趣點資料表15,並賦予唯一的興趣點識別碼151,同時,將該用戶識別碼121添加至自定用戶識別碼157中。 A brief description of the process of the user of the present invention "how to define the "point of interest"", as shown in Figures 1 and 5, when the user runs the application 21 through the terminal device 2 and browses the webpage, if the user When the tourist information in the webpage is interested, the user can click a new point of interest icon M1 in the application 21, and then the application 21 generates a browsing point of interest message, and the browsing point of interest is generated. The message includes transmission to the travel server 1, wherein the browsing point of interest information includes the current webpage content and the user's user identification code 121, and the travel server 1 transmits a smart analysis method (eg, crawler, extract) Text, parsing engine, etc.), whether the content of the webpage matches the content of any of the first point of interest data table 14 (eg, the point of interest name 142 and the geotag 143), if there is no matching data, then The travel server 1 transmits a custom point of interest message to the terminal device 2. After receiving the customized point of interest message, the terminal device 2 starts a custom point of interest picture H1 (as shown in FIG. 6). ,For The user can input the self-defined point of interest data, wherein the custom point of interest data can be text data (such as: name, category, address, description, etc.) and picture data, and the terminal device 2 will customize After the point of interest data is transmitted back to the travel server 1, the travel server 1 creates a new personal point of interest data table 15 based on the aforementioned custom point of interest data, and assigns a unique point of interest identification code 151, and at the same time, The user identification code 121 is added to the custom user identification code 157.
承上所述,復請參閱第1~4圖所示,當旅遊伺服器1比對出該網頁內容符合任一筆第一興趣點資料表14的內容時,該旅遊伺服器1會執行一處理程序,例如,將該第一興趣點資料表14傳回該終端裝置2,以供使用者能夠額外增加相關敘述或圖片,在此特別一提者,前述額外增加的內容,能夠以單一檔案儲存回興趣點資料庫13中,且與該第一興趣點資料表14(如:興趣點識別碼141)及該使用者(如:用戶識別碼121)相關聯,意即,當該第一興趣點資料表14出現於推薦內容時,僅有該使用者能夠看到額外增加的內容,其它使用者則僅能看到原有第一興趣點資料表14的推薦內容;或者,該旅遊伺服器1能將該第一興趣點資料表14關聯至對應該使用者之用戶資料表12中。 As described above, referring to Figures 1 to 4, when the travel server 1 compares the content of the web page to the content of any of the first interest point data tables 14, the travel server 1 performs a process. The program, for example, transmits the first point of interest data table 14 back to the terminal device 2, so that the user can additionally add related narration or pictures. In particular, the aforementioned additional content can be stored in a single file. Returning to the point of interest database 13 and associated with the first point of interest data table 14 (eg, the point of interest identification code 141) and the user (eg, the user identification code 121), that is, when the first interest When the point data table 14 appears in the recommended content, only the user can see the additional content, and other users can only see the recommended content of the original first point of interest data table 14; or, the travel server 1 The first point of interest data table 14 can be associated with the user profile table 12 corresponding to the user.
為能明確揭露前述流程,以下茲僅就本發明之旅遊伺服器1的處理過程,進行說明,請參閱第1~4、7圖所示,該旅遊伺服器1接收到該終端裝置2傳來的瀏覽興趣點訊息後,會執行下列步驟:(301)讀取該瀏覽興趣點訊息中的網頁內容,進入步驟(302);(302)執行智慧分析方式,判斷該網頁內容是否符合任一第一興趣點資料表14之內容,若是,進入步驟(303),若否,進入步驟(304);(303)執行一處理程序;(304)傳送一自定興趣點訊息至該終端裝置,進入步驟(305);(305)接收該終端裝置2傳來之一自定興趣點資料,進入步驟(306);(306)根據該自定興趣點資料的內容,建立新的個人興趣點資料表15。 In order to clearly disclose the foregoing process, only the processing procedure of the travel server 1 of the present invention will be described below. Please refer to FIGS. 1 to 4 and FIG. 7 , the travel server 1 receives the terminal device 2 . After browsing the POI message, the following steps are performed: (301) reading the webpage content in the browsing POI message, proceeding to step (302); (302) performing a smart analysis mode to determine whether the webpage content meets any of the following a content of the point of interest data table 14, if yes, proceeds to step (303), if not, proceeds to step (304); (303) executes a processing procedure; (304) transmits a custom point of interest message to the terminal device, enters Step (305); (305) receiving a customized point of interest data sent by the terminal device 2, proceeding to step (306); (306) establishing a new personal interest point data table according to the content of the customized point of interest data 15.
承上,復請參閱第1及4圖所示,該文字資料至少會包含「名稱」與「地址」,以能被分別記錄於興趣點名稱152與地理標籤153中,同時,該旅遊伺服器1尚會根據該地理標籤153而產生對應的城市標籤154,又,該旅遊伺服器1能夠根據該文字資料中包含的「描述」或根據網頁內容,而分析出對應的興趣點屬性標籤156,且會根據城市標籤154而自動計算與增加對應的動線標籤155,如此,使用者便能方便地自行定義出「興趣點」(即,建立新的個人興趣點資料表15)。在此特別一提者,本發明所稱之應用程式21能夠因應不同的終端裝置2類型,而有不同的態樣,例如:當終端裝置2為智慧型手機時,該應用程式21能夠為行動應用程式(APP);當終端裝置2為個人電腦時,該應用程式21能夠為網頁瀏覽器(如:Chrome),或者為網頁瀏覽器上附加的擴充功能(extension)。 In addition, as shown in Figures 1 and 4, the text data will at least include "name" and "address" so as to be separately recorded in the point of interest name 152 and the geographical label 153, and the travel server 1 corresponding to the geographic tag 153, the corresponding city tag 154 is generated. Further, the travel server 1 can analyze the corresponding interest point attribute tag 156 according to the "description" included in the text data or according to the content of the web page. The dynamic line label 155 corresponding to the addition is automatically calculated according to the city label 154. Thus, the user can conveniently define the "point of interest" (ie, establish a new personal interest point data table 15). In particular, the application 21 referred to in the present invention can have different aspects depending on the type of the terminal device 2, for example, when the terminal device 2 is a smart phone, the application 21 can act. Application (APP); when the terminal device 2 is a personal computer, the application 21 can be a web browser (such as: Chrome), or an extension provided on the web browser.
茲簡單敘述本發明「推薦『興趣點』」的流程,在該實施例 中,復請參閱第1~4圖所示,當使用者啟動該終端裝置2之應用程式21,且點一行程規劃圖標M2後,該終端裝置2能夠呈現一行程規劃頁面(如第8圖所示),供使用者在其上添加多個興趣點以規劃行程,嗣,當使用者操作該終端裝置2,並選擇一目的地(如:大阪)後,該終端裝置2會傳送一行程規劃訊息至該旅遊伺服器1,其中,該行程規劃訊息會包括對應該使用者的個人識別碼(如:U1)及該目的地名稱(如:大阪),嗣,當旅遊伺服器1接收並讀取該行程規劃訊息後,該旅遊伺服器1會根據該個人識別碼(如:U1),自該會員資料庫11中讀取匹配的用戶資料表12(即,用戶識別碼121為「U1」),之後,該旅遊伺服器1會根據該用戶識別碼121所對應之各該個人興趣點資料表15,及該目的地名稱(如:大阪)所對應之城市標籤144、154或動線標籤145、155,自該興趣點資料庫13中,讀取匹配的第一興趣點資料表14與個人興趣點資料表15。 The flow of the "recommendation of "points of interest"" of the present invention will be briefly described. In this embodiment, as shown in FIGS. 1 to 4, when the user activates the application 21 of the terminal device 2, the point plan is planned. After the icon M2, the terminal device 2 can present a trip planning page (as shown in FIG. 8) for the user to add a plurality of points of interest to plan the trip, 嗣, when the user operates the terminal device 2, and After selecting a destination (eg, Osaka), the terminal device 2 transmits a travel planning message to the travel server 1, wherein the travel planning message includes a personal identification number (eg, U1) corresponding to the user and The destination name (eg, Osaka), 嗣, when the travel server 1 receives and reads the travel planning message, the travel server 1 will follow the personal identification code (eg, U1) from the member database 11 The matching user data table 12 is read (ie, the user identification code 121 is "U1"), and then the travel server 1 will use the personal interest point data table 15 corresponding to the user identification code 121, and the City tag corresponding to the destination name (eg Osaka) 144, 154 or moving line labels 145, 155, from the point of interest database 13, the matching first point of interest data table 14 and personal point of interest data table 15 are read.
針對前述「讀取匹配的第一興趣點資料表14與個人興趣點資料表15」此一過程,茲舉例說明,復請參閱第1~4圖所示,當旅遊伺服器1讀取了用戶識別碼121為「U1」的用戶資料表12後,由於自定用戶識別碼157為「D1」、「D3」的個人興趣點資料表15,其自定用戶識別碼157均為「U1」,因此,前述「D1」、「D3」的個人興趣點資料表15會被選取出來;由於目的地名稱為「大阪」,因此,興趣點識別碼141為「P1」的第一興趣點資料表14,及自定用戶識別碼157為「D1」的個人興趣點資料表15,因其城市標籤144、154為「大阪」,而會被選取出來,至於「D3」的個人興趣點資料表15則不會被選取;又,由於該等第一興趣點資料表14及個人興趣點資料表15中,僅有興趣點識別碼141為「P1」、「P2」及自定用戶識別碼157為「D1」 的興趣點資料表14、15,其動線標籤145中分別了包括「大阪」(如:「大阪」+「神戶」、「京都」+「大阪」、「神戶」+「大阪」),因此,前述「P1」、「P2」的第一興趣點資料表14會被選取出來;意即,「P1」、「P2」的第一興趣點資料表14、「D1」的個人興趣點資料表15會被判斷為匹配的第一興趣點資料表14與個人興趣點資料表15。 For the above-mentioned process of "reading the matched first point of interest data table 14 and the personal point of interest data table 15", for example, please refer to the figures 1 to 4, when the travel server 1 reads the user. When the identification code 121 is the user data table 12 of "U1", since the custom user identification code 157 is the personal interest point data table 15 of "D1" and "D3", the custom user identification code 157 is "U1". Therefore, the personal interest point data table 15 of the above "D1" and "D3" will be selected; since the destination name is "Osaka", the point of interest identification code 141 is "P1" of the first point of interest data table 14 And the personal interest point data table 15 with the custom user ID 157 being "D1", because the city tags 144, 154 are "Osaka", and will be selected, as for the "D3" personal interest point data table 15 In the first point of interest data table 14 and the personal point of interest data table 15, only the point of interest identification code 141 is "P1", "P2" and the custom user identification code 157 is " In the interest point data table 14 and 15 of D1", the moving line label 145 includes " "Saka" ("Osaka" + "Kobe", "Kyoto" + "Osaka", "Kobe" + "Osaka"), therefore, the first interest point data table 14 of "P1" and "P2" will be It is selected; that is, the first interest point data table 14 of "P1" and "P2", and the personal interest point data table 15 of "D1" are judged as the matching first interest point data table 14 and personal interest point data. Table 15.
另,復請參閱第1~4圖所示,該旅遊伺服器1會將前述匹配的第一興趣點資料表14與個人興趣點資料表15,轉換成對應之行程推薦訊息,之後,該旅遊伺服器1會對各該行程推薦訊息進行優化排序,並根據排序結果,將各該行程推薦訊息傳送至該終端裝置2,以使該終端裝置2之顯示幕20能顯示各該行程推薦訊息(如第8圖之右方區域),供使用者察看,如此,使用者在規劃旅遊行程時,便能夠優先察看到自己較喜愛的興趣點,及鄰近該興趣點的其它興趣點(即,對應動線標籤145、155的興趣點),以能將各個興趣點逐一增加至行程中,大幅提高使用者規劃旅遊行程的便利性。 In addition, as shown in FIGS. 1 to 4, the travel server 1 converts the matched first point of interest data table 14 and personal interest point data table 15 into corresponding trip recommendation information, and then the tour The server 1 optimizes and sorts each of the travel recommendation messages, and transmits each of the travel recommendation messages to the terminal device 2 according to the sorting result, so that the display screen 20 of the terminal device 2 can display each of the travel recommendation messages ( As shown in the right area of Figure 8, for the user to see, so when the user plans the travel itinerary, the user can give priority to see their favorite points of interest, and other points of interest adjacent to the point of interest (ie, corresponding The points of interest of the moving line labels 145 and 155 can be added to the itinerary one by one, thereby greatly improving the convenience of the user in planning the travel itinerary.
為能明確揭露本發明之方法,以下茲僅就本發明之旅遊伺服器1的處理流程,進行說明,請參閱第1~4、9圖所示,該旅遊伺服器1係會執行下列步驟:(401)該旅遊伺服器1判斷是否接收到一行程規劃訊息,若是,進入步驟(402),否則,返回步驟(401);(402)該旅遊伺服器1讀取該行程規劃訊息內的個人識別碼及目的地名稱,進入步驟(403);(403)該旅遊伺服器1根據該個人識別碼,自會員資料庫11中讀取匹配的用戶資料表12,以取得對應用戶識別碼121,進入步驟(404); (404)該旅遊伺服器1根據該用戶識別碼121及目的地名稱,自該興趣點資料庫13中,讀取匹配的第一興趣點資料表14與個人興趣點資料表15,進入步驟(405);(405)該旅遊伺服器1將匹配的第一興趣點資料表14與個人興趣點資料表15,轉換成對應之行程推薦訊息,進入步驟(406);(406)該旅遊伺服器1對各該行程推薦訊息進行優化排序,進入步驟(407);(407)該旅遊伺服器1根據排序結果,將各該行程推薦訊息傳送至該行動終端裝置2。 In order to clearly disclose the method of the present invention, only the processing flow of the travel server 1 of the present invention will be described below. Referring to Figures 1 to 4 and 9, the travel server 1 performs the following steps: (401) the travel server 1 determines whether a trip planning message is received, and if so, proceeds to step (402), otherwise returns to step (401); (402) the travel server 1 reads the individual within the trip planning message The identification code and the destination name proceed to step (403); (403) the travel server 1 reads the matching user data table 12 from the member database 11 according to the personal identification code to obtain the corresponding user identification code 121, Going to step (404); (404) the travel server 1 reads the matched first point of interest data table 14 and personal interest point data from the point of interest database 13 according to the user identification code 121 and the destination name. Table 15, proceeding to step (405); (405) the travel server 1 converts the matched first point of interest data table 14 and the personal point of interest data table 15 into a corresponding trip recommendation message, and proceeds to step (406); 406) The travel server 1 recommends information for each of the trips OK optimized sequence proceeds to step (407); (407) The party server according to a ranking result, each of the transfer stroke recommendation message to the mobile terminal apparatus 2.
關於「就推薦內容進行優化排序」,茲就其中一種優化排序方式,說明如後,復請參閱第1~4圖所示,該旅遊伺服器1在取得「U1」的用戶資料表12中的個人屬性標籤123(如:「品茗」、「攝影」、「財經」)後,其會讀取匹配之該等興趣點資料表14、15的興趣點屬性標籤146、156,之後,該旅遊伺服器1會比對每一個興趣點資料表14、15中的興趣點屬性標籤146、156,符合該個人屬性標籤123的數量多寡,進行排序,且符合數量多的第一興趣點資料表14或個人興趣點資料表15,其所對應之推薦順序會較前面,例如,「D1」的個人興趣點資料表15,具有兩個符合之興趣點屬性標籤156(「品茗」、「攝影」),「P1」的第一興趣點資料表14,則具有一個符合之興趣點屬性標籤146(「品茗」),「P2」的第一興趣點資料表14,沒有符合的興趣點屬性標籤146,因此,「D1」的個人興趣點資料表15之推薦順序會優於「P1」的第一興趣點資料表14,「P1」的第一興趣點資料表14之推薦順序則會優於「P2」的第一興趣點資料表14,意即,該旅遊伺服器1會根據個人屬性標籤123所對應之興趣點屬性標籤146、156,對各該行程推薦訊息進 行優化排序,且推薦度高的行程推薦訊息會愈前面。 Regarding "Optimized Sorting of Recommended Contents", one of the optimized sorting methods is explained. For details, as shown in Figures 1 to 4, the travel server 1 obtains the user data table 12 of "U1". After the personal attribute tag 123 (eg, "Picture", "Photography", "Finance"), it will read the POI attribute tags 146, 156 of the matching points of interest data tables 14, 15 after that, the tour The server 1 compares the number of interest attribute tags 146, 156 in each of the points of interest data tables 14, 15 to match the number of the personal attribute tags 123, and sorts them, and matches the number of first points of interest data table 14 Or the personal interest point data table 15, which corresponds to the recommendation order, for example, the personal interest point data table 15 of "D1" has two matching interest point attribute labels 156 ("pin", "photography" ), the first point of interest data table 14 of "P1" has a point of interest attribute tag 146 ("pin"), a first point of interest data table 14 of "P2", and no matching point of interest attribute tag. 146, therefore, the personal interest of "D1" The recommendation order of the data table 15 is superior to the first point of interest data table 14 of "P1", and the recommendation order of the first point of interest data table 14 of "P1" is superior to the first point of interest data table 14 of "P2". That is, the travel server 1 optimizes the travel recommendation information according to the interest point attribute labels 146 and 156 corresponding to the personal attribute label 123, and the recommended recommendation information of the high recommendation is higher.
復請參閱第1~4圖所示,該用戶資料表12尚分別包括至少一個人隱私標籤125,當一使用者為新註冊的會員,且業者無法由前述(1)~(3)的方式,令該使用者擁有對應之個人屬性標籤123時,該使用者的用戶資料表12中則不會記載任何個人屬性標籤123,此時,為了能夠推薦興趣點予該新註冊的會員,該旅遊伺服器1會讀取該使用者之用戶資料表12中的個人隱私標籤125,假設該使用者係為男性,且年齡為35歲,並任職於金融業,則該使用者會包括「男」、「35歲」、「金融業」等個人隱私標籤125,之後,該旅遊伺服器1會針對多個其它用戶資料表12內的個人隱私標籤125,進行配對搜尋,其中,該旅遊伺服器1會根據搜尋出之其它用戶資料表12內的所有個人隱私標籤125,比對其符合該用戶資料表12之各該個人隱私標籤125的數量,且選取出符合數量最多的其它用戶資料表12,嗣,該旅遊伺服器1會將被選取之其它用戶資料表12中的個人屬性標籤123,記載至該用戶資料表12,以使該旅遊伺服器1能執行前述步驟(406)~(407)的流程,例如:當旅遊伺服器1搜尋出用戶識別碼121為「U1」的使用者,其用戶資料表12內包括了「男」、「35歲」、「金融業」等個人隱私標籤125後,該旅遊伺服器1便會將「U1」所對應之「品茗」、「攝影」、「財經」等三種個人屬性標籤123,記載至該使用者(即,新註冊的會員)的用戶資料表12中,畢竟,擁有類似生活或工作環境,且年齡層近似的人,其喜好或消費傾向會較為雷同。 Referring to Figures 1 to 4, the user data table 12 respectively includes at least one person privacy label 125. When a user is a newly registered member, and the operator cannot be in the manner of (1) to (3) above, When the user has the corresponding personal attribute tag 123, the personal attribute tag 123 is not recorded in the user profile 12 of the user. In this case, in order to be able to recommend the point of interest to the newly registered member, the travel servo The user 1 will read the personal privacy label 125 in the user profile 12 of the user. If the user is a male and is 35 years old and works in the financial industry, the user will include "male". The personal privacy tag 125 such as "35 years old" and "financial industry", after which the travel server 1 performs pairing search for the personal privacy tag 125 in the plurality of other user data tables 12, wherein the travel server 1 will According to the search results of all the personal privacy tags 125 in the other user profile 12, the number of the personal privacy tags 125 corresponding to the user profile 12 is selected, and the other user profile 12 having the highest number of matches is selected. That is, the travel server 1 records the personal attribute tag 123 in the selected other user profile 12 to the user profile 12 so that the travel server 1 can perform the aforementioned steps (406)~(407). For example, when the travel server 1 searches for a user whose user ID 121 is "U1", the user profile 12 includes personal privacy tags 125 such as "male", "35 years old", and "financial industry". After that, the travel server 1 records three types of personal attribute tags 123 such as "products", "photography", and "finance" corresponding to "U1" to the users of the user (ie, newly registered members). In Table 12, after all, people with similar living or working conditions and similar age groups will have similar preferences or propensity to consume.
此外,為了能使推薦內容更為貼近使用者的喜愛,本發明之優化排序尚包括了「優先顯示使用者收藏的興趣點」及「對使用者之個人屬性標籤123進行加權值」,茲分別說明如後,在該實施例中,復請參閱第 1~4圖所示,該用戶資料表12尚包括至少一收藏標籤127,當使用者點選了應用程式21中的新增興趣點圖標M1後,若旅遊伺服器1判斷出該網頁內容符合任一第一興趣點資料表14之內容,則其會將該第一興趣點資料表14的興趣點識別碼141加入至該收藏標籤127中,又,若旅遊伺服器1是建立新的個人興趣點資料表15,則其會將新的個人興趣點資料表15之興趣點識別碼151加入至該收藏標籤127中,如此,當該終端裝置2顯示推薦內容時,對應於收藏標籤127中的該等興趣點資料表14、15所形成的行程推薦訊息,便會優先顯示出來,在該實施例中,復請參閱第8圖所示,其網頁畫面上的「收藏」,係表示推薦內容均為對應於收藏標籤127中的該等興趣點資料表14、15內容,網頁畫面上的「未收藏」,則表示推薦內容並未對應於收藏標籤127。 In addition, in order to make the recommended content closer to the user's favorite, the optimized ranking of the present invention includes "prioritizing to display the user's favorite points of interest" and "weighting the user's personal attribute label 123", respectively. For example, in this embodiment, as shown in FIGS. 1~4, the user profile 12 further includes at least one favorite tag 127, when the user clicks the newly added point icon in the application 21. After M1, if the travel server 1 determines that the content of the web page matches the content of any of the first point of interest data tables 14, it will add the point of interest identification code 141 of the first point of interest data table 14 to the favorite label 127. In addition, if the travel server 1 is to create a new personal interest point data table 15, it will add the point of interest identification code 151 of the new personal interest point data table 15 to the favorite label 127, so that when When the terminal device 2 displays the recommended content, the travel recommendation information corresponding to the interest point data tables 14 and 15 in the favorite tag 127 is preferentially displayed. In this embodiment, please refer to FIG. Show that "Collection" on the page screen indicates that the recommended content is the content of the points of interest data table 14, 15 corresponding to the bookmarks 127, and "uncollected" on the webpage screen indicates that the recommended content does not correspond to the collection. Label 127.
承上所述,復請參閱第1~4圖所示,當使用者透過該應用程式21瀏覽網頁,且進行各種操作,例如:新增興趣點、瀏覽旅遊景點、規劃行程、線上購物...等,該應用程式21會記錄使用者的操作行為,並根據前述操作行為產生一記錄屬性訊息,且傳送至該旅遊伺服器1,之後,該旅遊伺服器1會根據該記錄屬性訊息中的用戶識別碼121,讀取匹配的用戶資料表12,以取得該用戶資料表12中的個人屬性標籤123,嗣,該旅遊伺服器1會根據該記錄屬性訊息中包括的內容,對各該個人屬性標籤123,賦予一加權值,舉例而言,當使用者瀏覽的網頁內容均是關於各種酒吧、夜間活動…等資訊時,則其「夜生活」的個人屬性標籤123之加權值會逐漸增加;或者,當使用者於網路上購買了相機、鏡頭、濾鏡…等產品等,其「攝影」的個人屬性標籤123之加權值亦會增加;如此,在旅遊伺服器1對各該行程推薦訊息進行優化排序時,當各該興趣點屬性標籤146、156所對應之個人 屬性標籤123擁有高加權值,則其推薦順序會較佳。在此特別一提者,本發明所提之優化排序方式,均能夠混合使用,以提供使用者更為良好的使用經驗。 As mentioned above, please refer to Figures 1~4, when the user browses the webpage through the application 21, and performs various operations, such as: adding points of interest, browsing tourist attractions, planning trips, online shopping.. Etc., the application 21 records the user's operation behavior, and generates a record attribute message according to the foregoing operation behavior, and transmits the message to the travel server 1, after which the travel server 1 according to the record attribute information The user identification code 121 reads the matching user profile 12 to obtain the personal attribute tag 123 in the user profile 12, and the tour server 1 treats each individual according to the content included in the record attribute message. The attribute label 123 is given a weighting value. For example, when the content of the webpage browsed by the user is related to various bars, nighttime activities, etc., the weighting value of the personal attribute label 123 of the "nightlife" is gradually increased; Or, when the user purchases a camera, a lens, a filter, etc. on the Internet, the weight of the personal attribute tag 123 of "photography" will also increase; When run on the server 1 for each of the optimized sequence stroke recommendation message, when the personal attributes of the label corresponding to each of the POI attribute tags 146, 156 has a high weighting value 123, it will be preferred recommendation order. In particular, the optimized sorting method proposed by the present invention can be used in combination to provide a better user experience.
再者,本發明除了能夠推薦單一興趣點之外,亦能夠將多個興趣點組合成一活動行程,並推薦給使用者,以供使用者在規劃旅遊行程時,能夠一次性地添加多個興趣點,茲說明本發明「推薦『活動行程』」的流程,復請參閱第1~4及10圖所示,該興趣點資料庫13內尚儲存有複數筆行程組件資料表16,各該行程組件資料表16至少包括一組件識別碼161、一組件名稱162、一組件城市標籤163、一組件屬性標籤164及一組件內容165,茲逐一說明各個欄位資料所代表意義如下:(a)該組件識別碼161係活動行程的唯一識別碼(如:L1、L2、L3);(b)該組件名稱162係業者所提供之名稱(如:京阪奈三都遊);(c)該組件城市標籤163係為活動行程所對到達的城市(如:「大阪」+「京都」+「奈良」);(d)該組件屬性標籤164則為活動行程之性質,例如:「品茗」、「攝影」;(e)該組件內容165係為活動行程所包括的多個興趣點識別碼141,由於活動行程是由多個興趣點組合而成,且每一個興趣點均有對應的第一興趣點資料表14,因此,前述第一興趣點資料表14的興趣點識別碼141便會被記載於該組件內容165中,例如,業者將「一號點」與「二號點」設計成一個活動行程,且形成「L1」的行程組件資料表16,則其組件內容165便會填入「一號點」與「二號點」所對應的興趣點識別碼141(即,P1、P2)。 Furthermore, in addition to being able to recommend a single point of interest, the present invention can also combine multiple points of interest into one activity itinerary and recommend it to the user, so that the user can add multiple interests at a time when planning the travel itinerary. In the following, the flow of "recommended "activity trip"" of the present invention will be described. Referring to Figures 1 to 4 and 10, the interest point database 13 also stores a plurality of stroke component data sheets 16 for each trip. The component data table 16 includes at least a component identification code 161, a component name 162, a component city tag 163, a component attribute tag 164, and a component content 165. The meaning of each field data is as follows: (a) The component identification code 161 is a unique identification code of the active itinerary (eg, L1, L2, L3); (b) the name of the component name 162 is provided by the manufacturer (eg, Keihan Nai Sandu); (c) the component city tag 163 is the city to which the event is to be traveled (eg "Osaka" + "Kyoto" + "Nara"); (d) The component attribute tag 164 is the nature of the activity itinerary, for example: "Pin", "Photography" (e) the content of the component 165 For the plurality of points of interest identification code 141 included in the activity itinerary, since the activity itinerary is composed of a plurality of points of interest, and each of the points of interest has a corresponding first point of interest data table 14, the first interest is The point of interest identification code 141 of the point data table 14 is recorded in the component content 165. For example, the operator designs the "point 1" and the "point 2" as an activity itinerary, and forms a trip component of "L1". In the data table 16, the component content 165 is filled with the point of interest identification code 141 (i.e., P1, P2) corresponding to the "point 1" and the "point 2".
復請參閱第1~4及10圖所示,在該實施例中,當旅遊伺服器1進行前述步驟(403)時,由於目的地名稱為「大阪」,故,組件識別碼161為「L1」的行程組件資料表16,因其組件城市標籤163包括「大阪」,而會被旅遊伺服器1選取出來,並轉換成對應之行程推薦訊息,之後,該旅遊伺服器1進行前述步驟(405)時,其會根據使用者所擁有的個人屬性標籤123,比對各該行程組件資料表16的組件屬性標籤164,進而對各該行程推薦訊息進行優化排序(如前述實施例之根據數量多寡或加權值進行排序),如此,使用者在安排旅遊行程時,不僅所察看的推薦內容符合自身喜好,且亦符合欲到達旅行之城市。此外,當使用者察看推薦的活動行程之細部內容(即,每一個興趣點的介紹說明)時,該旅遊伺服器1便能夠根據組件內容165,選取對應的第一興趣點資料表14。 Referring to FIGS. 1 to 4 and 10, in the embodiment, when the travel server 1 performs the above-described step (403), since the destination name is "Osaka", the component identification code 161 is "L1". The travel component data table 16 is selected by the travel server 1 because its component city label 163 includes "Osaka", and is converted into a corresponding trip recommendation message, after which the travel server 1 performs the aforementioned steps (405). When it is compared with the component attribute tag 164 of each of the itinerary component data table 16 according to the personal attribute tag 123 owned by the user, the order recommendation information is optimized and sorted according to the number of the above-mentioned embodiments. Or the weighting value is sorted), so that when the user arranges the travel itinerary, not only the recommended content viewed is in accordance with his or her preference, but also conforms to the city to be traveled. In addition, when the user views the details of the recommended activity itinerary (ie, the description of each point of interest), the travel server 1 can select the corresponding first point of interest data table 14 based on the component content 165.
按,以上所述,僅係本發明之較佳實施例,惟,本發明所主張之權利範圍,並不侷限於此,按凡熟悉該項技藝人士,依據本發明所揭露之技術內容,可輕易思及之等效變化,均應屬不脫離本發明之保護範疇。 The above is only the preferred embodiment of the present invention, but the scope of the claims of the present invention is not limited thereto, and according to those skilled in the art, according to the technical content disclosed in the present invention, Equivalent changes that are easily considered are within the scope of protection of the invention.

Claims (13)

  1. 一種自適化行程規劃推薦方法,係應用至一旅遊行程規劃系統,該旅遊行程規劃系統包括一旅遊伺服器及至少一終端裝置,其中,該旅遊行程規劃系統能透過網際網路,與各該終端裝置相連線,其內設有一會員資料庫及一興趣點資料庫,該會員資料庫內儲存有複數筆用戶資料表,該等用戶資料表內分別包括一用戶識別碼,該興趣點資料庫內儲存有複數筆第一興趣點資料表及複數筆個人興趣點資料表,該等第一興趣點資料表與該等個人興趣點資料表內分別至少包括一興趣點識別碼、一興趣點名稱、一地理標籤、一城市標籤、一動線標籤及一興趣點屬性標籤,且該等個人興趣點資料表尚分別包括建立其資料的各該用戶識別碼,各該終端裝置內分別安裝一應用程式,在各該終端裝置運行對應之應用程式,且傳送一瀏覽興趣點訊息至該旅遊伺服器後,該旅遊伺服器會依下列步驟建立新的個人興趣點資料表:讀取該瀏覽興趣點訊息中的一網頁內容;透過一智慧分析方式,比對該網頁內容及各該第一興趣點資料表之內容;在判斷出該網頁內容未符合任一第一興趣點資料表之內容的情況下,傳送一自定興趣點訊息至該終端裝置;接收該終端裝置傳來之一自定興趣點資料;根據該自定興趣點資料的內容,建立新的個人興趣點資料表;在各該終端裝置運行對應之應用程式,且傳送一行程規劃訊息至該旅遊伺服器後,該旅遊伺服器執行下列推薦興趣點步驟:讀取該行程規劃訊息的內容,且該行程規劃訊息包括一個人識別碼及至少一目的地名稱; 自該會員資料庫中讀取匹配該個人識別碼的用戶資料表,以取得對應之用戶識別碼;根據該用戶識別碼所對應之各該個人興趣點資料表,及根據該目的地名稱所對應之城市標籤與對應之動線標籤,執行配對搜尋,以自該興趣點資料庫中,選取匹配的第一興趣點資料表與個人興趣點資料表;將前述匹配的各該第一興趣點資料表與各該個人興趣點資料表,轉換成對應之行程推薦訊息;對各該行程推薦訊息進行優化排序;及根據排序結果,依序將各該行程推薦訊息傳送至該終端裝置,以使該終端裝置之顯示幕能顯示各該行程推薦訊息。 An adaptive travel planning recommendation method is applied to a travel itinerary planning system, the travel itinerary planning system comprising a travel server and at least one terminal device, wherein the travel itinerary planning system can communicate with each terminal through the internet The device connection line has a member database and a point of interest database, and the member database stores a plurality of user data sheets, wherein the user data sheets respectively include a user identification code, and the point of interest database The first point of interest data table and the plurality of personal interest point data tables are stored therein, and the first point of interest data table and the personal point of interest data table respectively include at least one point of interest identification code and one point of interest point a geographical label, a city label, a moving line label, and a point of interest attribute label, and the personal point of interest data tables respectively include each user identification code for establishing the data, and each of the terminal devices respectively installs an application program After the corresponding application runs on each of the terminal devices, and transmits a browsing point of interest message to the travel server, the brigade The server will establish a new personal interest point data table according to the following steps: reading a webpage content in the browsing interest point message; and comparing the content of the webpage and each content of the first interest point datatable by using a smart analysis method Transmitting a custom point of interest message to the terminal device if it is determined that the content of the webpage does not meet the content of any of the first point of interest data tables; receiving one of the custom point of interest data transmitted by the terminal device; The content of the customized point of interest data is used to establish a new personal interest point data table; after each of the terminal devices runs the corresponding application and transmits a trip planning message to the travel server, the travel server performs the following recommended interests. Point step: reading the content of the trip planning message, and the trip planning message includes a person identification code and at least one destination name; Reading a user profile matching the personal identification code from the member database to obtain a corresponding user identification code; according to the personal interest point data table corresponding to the user identification code, and corresponding to the destination name Performing a pairing search on the city label and the corresponding moving line label, and selecting a matching first point of interest data table and a personal interest point data table from the point of interest database; and matching the first point of interest data The table and each of the personal interest point data tables are converted into corresponding travel recommendation information; the travel recommendation information is optimized and sorted; and according to the sorting result, each travel recommendation message is sequentially transmitted to the terminal device, so that the The display screen of the terminal device can display each of the travel recommendation messages.
  2. 如請求項1所述之行程規劃推薦方法,其中,該瀏覽興趣點訊息尚包括對應之用戶識別碼,以使該旅遊伺服器將該用戶識別碼添加至新的個人興趣點資料表之一自定用戶識別碼中。 The travel plan recommendation method of claim 1, wherein the browsing interest point message further includes a corresponding user identification code, so that the travel server adds the user identification code to one of the new personal interest point data sheets. In the user ID.
  3. 如請求項2所述之行程規劃推薦方法,其中,該優化排序係使該旅遊伺服器執行下列步驟:根據該個人識別碼所匹配的用戶資料表中,取得至少一個人屬性標籤;及根據各該個人屬性標籤所對應之興趣點屬性標籤,對各該行程推薦訊息進行優化排序。 The travel plan recommendation method according to claim 2, wherein the optimization ranking causes the travel server to perform the following steps: obtaining at least one person attribute tag according to the user profile matched by the personal identification code; The interest point attribute tag corresponding to the personal attribute tag optimizes the ranking of each of the itinerary recommendation messages.
  4. 如請求項3所述之行程規劃推薦方法,其中,該旅遊伺服器會讀取各該行程推薦訊息所分別對應之第一興趣點資料表或個人興趣點資料表,且根據各該第一興趣點資料表及/或個人興趣點資料表中的對應興趣點屬性標籤,其所符合之各該個人屬性標籤的數量多寡,進行排序。 The travel plan recommendation method according to claim 3, wherein the travel server reads a first interest point data table or a personal interest point data table corresponding to each travel recommendation message, and according to each of the first interests The corresponding point of interest attribute label in the point data table and/or the personal interest point data table is sorted by the number of the individual attribute labels that match the number of the individual attribute labels.
  5. 如請求項3所述之行程規劃推薦方法,其中,各該個人屬性標籤分別具 有一加權值,該旅遊伺服器會讀取各該行程推薦訊息所分別對應之第一興趣點資料表或個人興趣點資料表,且根據各該第一興趣點資料表及/或個人興趣點資料表中的對應興趣點屬性標籤,其所符合之各該個人屬性標籤的加權值高低,進行排序。 The method for recommending a trip plan according to claim 3, wherein each of the individual attribute tags has a There is a weighting value, and the travel server reads the first point of interest data table or the personal interest point data table corresponding to each of the travel recommendation information, and according to each of the first point of interest data table and/or personal interest point data. The corresponding point of interest attribute label in the table is sorted by the weighting value of each of the individual attribute labels.
  6. 如請求項4或5所述之行程規劃推薦方法,其中,該旅遊伺服器接收到該終端裝置傳來之該瀏覽興趣點訊息,且判斷出該網頁內容符合其中一第一興趣點資料表之內容的情況下,該旅遊伺服器係將前述第一興趣點資料表的興趣點識別碼,添加至該用戶資料表,以形成一收藏標籤。 The travel plan recommendation method according to claim 4, wherein the travel server receives the browsing interest point message sent by the terminal device, and determines that the webpage content meets one of the first interest point data tables. In the case of content, the travel server adds the point of interest identification code of the first point of interest data table to the user profile to form a bookmark.
  7. 如請求項6所述之行程規劃推薦方法,其中,該旅遊伺服器建立新的個人興趣點資料表後,其會將前述新的個人興趣點資料表之興趣點識別碼,添加至該用戶資料表,以形成另一收藏標籤。 The travel plan recommendation method according to claim 6, wherein the travel server establishes a new personal interest point data table, and adds the interest point identification code of the new personal interest point data table to the user data. Table to form another collection tag.
  8. 如請求項7所述之行程規劃推薦方法,其中,該旅遊伺服器會使該終端裝置優先顯示對應於各該收藏標籤之行程推薦訊息。 The travel plan recommendation method of claim 7, wherein the travel server causes the terminal device to preferentially display a travel recommendation message corresponding to each of the favorite tags.
  9. 如請求項8所述之行程規劃推薦方法,其中,各該用戶資料表尚分別包括至少一個人隱私標籤,其中,該旅遊伺服器讀取匹配的用戶資料表,且該用戶資料表中未記載任一個人屬性標籤的狀況下,該旅遊伺服器係執行下列步驟:根據該用戶資料表中的各該個人隱私標籤,針對多個其它用戶資料表內之對應個人隱私標籤,進行配對搜尋;根據各該其它用戶資料表內的所有個人隱私標籤,比對其符合該用戶資料表之各該個人隱私標籤的數量,且選取出符合數量最多的其它用戶資料表;及將被選取之其它用戶資料表中的各該個人屬性標籤,記載至該用戶資料表,以使該旅遊伺服器能根據該用戶資料表中的個人屬性標籤,讀取匹 配的第一興趣點資料表。 The travel plan recommendation method according to claim 8, wherein each of the user data tables further includes at least one personal privacy label, wherein the travel server reads the matching user data table, and the user data table does not record any In the case of a person attribute tag, the travel server performs the following steps: performing a pairing search on the corresponding personal privacy tags in the plurality of other user profile according to each of the personal privacy tags in the user profile; All personal privacy tags in the other user profile are more than the number of other personal privacy tags that match the user profile, and the other user profiles that match the most number are selected; and other user profiles to be selected Each of the personal attribute tags is recorded in the user profile to enable the travel server to read the tags based on the personal attribute tags in the user profile. The first point of interest data sheet.
  10. 如請求項9所述之行程規劃推薦方法,其中,該興趣點資料庫內尚儲存有複數筆行程組件資料表,各該行程組件資料表至少包括一組件識別碼、一組件名稱、一組件城市標籤、一組件屬性標籤及一組件內容,且各該行程組件資料表的組件內容包含複數個第一興趣點資料表的興趣點識別碼,該旅遊伺服器能根據該目的地名稱所對應之組件城市標籤,執行配對搜尋,以自該興趣點資料庫中,選取匹配的行程組件資料表,且將前述匹配的各該第行程組件資料表,轉換成對應之行程推薦訊息,以進行優化排序。 The travel plan recommendation method according to claim 9, wherein the interest point database further stores a plurality of stroke component data sheets, and each of the trip component data tables includes at least one component identification code, a component name, and a component city. a tag, a component attribute tag, and a component content, and the component content of each of the itinerary component data tables includes a point of interest identification code of the plurality of first point of interest data tables, and the travel server can be based on the component corresponding to the destination name The city tag performs a pairing search to select a matching itinerary component data table from the point of interest database, and converts the matched first leg component data table into a corresponding itinerary recommendation message for optimal sorting.
  11. 如請求項10所述之行程規劃推薦方法,其中,該優化排序係使該旅遊伺服器執行下列步驟:根據該個人識別碼所匹配的用戶資料表中,取得至少一個人屬性標籤;及根據各該個人屬性標籤所對應之組件屬性標籤,對各該行程推薦訊息進行優化排序。 The travel plan recommendation method of claim 10, wherein the optimization ranking causes the travel server to perform the following steps: obtaining at least one person attribute tag according to the user profile matched by the personal identification code; The component attribute tag corresponding to the personal attribute tag optimizes the ranking of each of the itinerary recommendation messages.
  12. 如請求項11所述之行程規劃推薦方法,其中,該旅遊伺服器會讀取各該行程推薦訊息所分別對應之行程組件資料表,且根據各該行程組件資料表中的對應組件屬性標籤,其所符合之各該個人屬性標籤的數量多寡,進行排序。 The travel plan recommendation method according to claim 11, wherein the travel server reads the travel component data table corresponding to each travel recommendation message, and according to the corresponding component attribute label in each travel component data table, The number of individual attribute tags that match the number of individual attributes is sorted.
  13. 如請求項11所述之行程規劃推薦方法,其中,各該個人屬性標籤分別具有一加權值,該旅遊伺服器會讀取各該行程推薦訊息所分別對應之行程組件資料表,且根據各該行程組件資料表中的對應組件屬性標籤,其所符合之各該個人屬性標籤的加權值高低,進行排序。 The travel plan recommendation method according to claim 11, wherein each of the personal attribute tags has a weighting value, and the travel server reads the travel component data table corresponding to each of the travel recommendation messages, and according to each The corresponding component attribute label in the stroke component data table is sorted by the weighting value of each of the individual attribute labels.
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Citations (3)

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US20130073203A1 (en) * 2002-12-30 2013-03-21 Mapquest, Inc. Presenting a travel route
US20160247098A1 (en) * 2010-06-07 2016-08-25 James Bongiorno System, Method, and Computer Software Code for Planning and Executing a Travel Itinerary
US20170045365A1 (en) * 2014-04-24 2017-02-16 Gershon PAZ-TAL Travel planner platform for providing quality tourism information

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130073203A1 (en) * 2002-12-30 2013-03-21 Mapquest, Inc. Presenting a travel route
US20160247098A1 (en) * 2010-06-07 2016-08-25 James Bongiorno System, Method, and Computer Software Code for Planning and Executing a Travel Itinerary
US20170045365A1 (en) * 2014-04-24 2017-02-16 Gershon PAZ-TAL Travel planner platform for providing quality tourism information

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