TW201712628A - Popular spots ranking method and system, and cloud server collect spots or road information actually navigated by navigation device through the cloud server - Google Patents

Popular spots ranking method and system, and cloud server collect spots or road information actually navigated by navigation device through the cloud server Download PDF

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TW201712628A
TW201712628A TW104131436A TW104131436A TW201712628A TW 201712628 A TW201712628 A TW 201712628A TW 104131436 A TW104131436 A TW 104131436A TW 104131436 A TW104131436 A TW 104131436A TW 201712628 A TW201712628 A TW 201712628A
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attraction
cloud server
popular
road
roads
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TW104131436A
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zhi-shun Chen
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Goyourlife Inc
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Abstract

A popular spots ranking method includes the following steps: allowing a cloud server to store a plurality of spots and correspondingly first popular values, and a plurality of roads and correspondingly second popular values, in which each of the first popular values is related to the number of the correspondingly spots that has been taken as a navigation destination or a navigation path, and each of the second popular values is related to the number of the correspondingly road that has been taken as a navigation road; calculating a popular score of each of the spots according to the first popular values and the second popular values when the cloud server is requested to provide a popular spots ranking; and ranking the spots according to the popular scores, and providing a ranking result.

Description

熱門景點排行方法及系統、雲端伺服器 Popular attractions ranking method and system, cloud server

本發明是有關於一種熱門景點推薦方法,特別是指一種應用雲端伺服器提供熱門景點排行的熱門景點排行方法。 The invention relates to a popular attraction recommendation method, in particular to a popular attraction ranking method for applying a cloud server to provide popular scenic spots.

以往推薦旅遊景點的書籍或是相關應用程式,在對旅遊景點進行排名時,一般會依據使用者(或消費者)評等的資訊來做為依據,因此使用者(或消費者)個人的好惡將影響其推薦的評分,使得其提供的景點排名相對較為主觀,而無法站在客觀的角度提供更為公正可信的景點推薦排名。再者,上述書籍或應用程式需仰賴使用者(或消費者)親自走訪後的評等資訊來更新景點排名,因此通常無法即時地提供最近較新或較為熱門的景點。 In the past, books or related applications that recommended tourist attractions were generally based on the information of users (or consumers) when ranking the tourist attractions, so the users (or consumers) personally like the likes and dislikes. The rating that will affect its recommendation will make the ranking of the attractions it provides relatively more subjective, and it will not be able to provide a more just and credible recommendation recommendation ranking from an objective perspective. Furthermore, the above-mentioned books or applications rely on the rating information of the user (or consumer) to personally visit to update the ranking of the attractions, so it is usually not possible to provide newly-newer or more popular attractions in real time.

因此,本發明的目的在於提供一種能客觀且及時地提供熱門景點排名資訊的熱門景點排行方法及實現該方法的雲端伺服器。 Therefore, an object of the present invention is to provide a popular attraction ranking method capable of providing popular attraction ranking information objectively and in time, and a cloud server implementing the method.

於是,本發明熱門景點排行方法,應用於一雲端伺服器,該方法包括:步驟(A):該雲端伺服器儲存複數 地區的景點及其相對應的一第一熱門值,以及該等地區的複數條道路及其相對應的一第二熱門值,其中該等景點及該等道路是複數導航裝置導航時曾經到過的地方,且該第一熱門值是與所對應的景點曾經做為導航終點或在導航路徑上的次數有關,而該第二熱門值是與所對應的道路曾經做為導航路徑的次數有關;步驟(B):當該雲端伺服器被要求提供某一地區的熱門景點排行時,該雲端伺服器從儲存的該等景點中找出位於該地區的複數景點及其對應的該第一熱門值,以及從儲存的該等道路中找出與各該景點相距一預定距離內的至少一條道路及其對應的該第二熱門值;以及步驟(C):該雲端伺服器根據步驟(B)找出的該等第一熱門值及該等第二熱門值,計算各該景點的一熱門分數,且依該等熱門分數對該等景點進行排名,並提供排名結果。 Therefore, the popular attraction ranking method of the present invention is applied to a cloud server, and the method comprises: step (A): the cloud server stores the plural a scenic spot and its corresponding first popularity value, and a plurality of roads in the area and their corresponding second popularity values, wherein the attractions and the roads have been visited by a plurality of navigation devices And the first popularity value is related to the number of times the corresponding attraction used to be the navigation destination or on the navigation path, and the second popularity value is related to the number of times the corresponding road used to be the navigation path; Step (B): when the cloud server is required to provide a popular attraction ranking in a certain area, the cloud server finds the plurality of scenic spots located in the area and the corresponding first popular value from the stored spots And finding, from the stored roads, at least one road within a predetermined distance from each of the scenic spots and the corresponding second popularity value; and step (C): the cloud server is configured according to step (B) The first popularity values and the second popularity values are calculated, a popular score for each of the attractions is calculated, and the attractions are ranked according to the popularity scores, and the ranking results are provided.

再者,本發明實現上述方法的熱門景點排行系統,包括一雲端伺服器及複數個能經由網路與該雲端伺服器連線的導航裝置,該雲端伺服器儲存複數地區的景點及其相對應的一第一熱門值,以及該等地區的複數條道路及其相對應的一第二熱門值,其中該等景點及該等道路是複數導航裝置導航時曾經到過的地方,且該第一熱門值是與所對應的景點曾經做為導航終點或在導航路徑上的次數有關,而該第二熱門值是與所對應的道路曾經做為導航路徑的次數有關;該等導航裝置將其導航時曾經到過的該等景點及該等道路自動上傳至該雲端伺服器,且該等導航裝置其中之一向該雲端伺服器要求提供某一地區的熱門景點排 行時,該雲端伺服器從儲存的該等景點中找出位於該地區的複數景點及其對應的該第一熱門值,以及從儲存的該等道路中找出與各該景點相距一預定距離內的至少一條道路及其對應的該第二熱門值,並根據找出的該等第一熱門值及該等第二熱門值,計算各該景點的一熱門分數,且依該等熱門分數對該等景點進行排名,並提供排名結果給該導航裝置。 Furthermore, the popular attraction ranking system for implementing the above method comprises a cloud server and a plurality of navigation devices capable of connecting to the cloud server via a network, the cloud server storing the scenic spots of the plurality of regions and corresponding thereto a first popularity value, and a plurality of roads in the area and a corresponding second popularity value thereof, wherein the attractions and the roads are places that have been visited by the plurality of navigation devices during navigation, and the first The popularity value is related to the number of times the corresponding attraction used to be the navigation endpoint or on the navigation path, and the second popularity value is related to the number of times the corresponding road used to be the navigation path; the navigation device navigates it Such attractions and such roads that have been visited are automatically uploaded to the cloud server, and one of the navigation devices requests the cloud server to provide a popular attraction row in a certain area. In the row, the cloud server finds the plurality of scenic spots located in the area and the corresponding first popularity values from the stored spots, and finds a predetermined distance from each of the stored roads from the stored attractions. At least one road and its corresponding second popularity value, and calculating a popular score of each of the scenic spots according to the first popular value found and the second hot values, and according to the popular scores These attractions are ranked and the ranking results are provided to the navigation device.

且在本發明的一實施例中,每一景點的該熱門分數為該景點的一第一分數加上一第二分數,其中該第一分數是該第一熱門值乘以百分之六十,且該雲端伺服器是從找出的至少一條道路中選出與該景點距離較近的最多前三條道路,因此當該雲端伺服器選出三條道路時,該第二分數是與該景點距離最近的第一條道路的該第二熱門值乘以百分之二十加上與該景點距離次之的第二條道路的該第二熱門值乘以百分之十二加上與該景點距離稍遠的第三條道路的該第二熱門值乘以百分之八,當該雲端伺服器選出二條道路時,該第二分數是與該景點距離最近的第一條道路的該第二熱門值乘以百分之二十五加上與該景點距離次之的第二條道路的該第二熱門值乘以百分之十五,當該雲端伺服器選出一條道路時,該第二分數是該條道路的該第二熱門值乘以百分之四十。 In an embodiment of the present invention, the popularity score of each attraction is a first score of the attraction plus a second score, wherein the first score is the first popularity value multiplied by 60% And the cloud server selects at most the first three roads that are closer to the attraction from the at least one road found, so when the cloud server selects three roads, the second score is the closest to the attraction. The second popularity value of the first road is multiplied by 20% plus the second popularity value of the second road second to the attraction, multiplied by 12% plus a slight distance from the attraction The second popularity value of the far third road is multiplied by eight percent. When the cloud server selects two roads, the second score is the second popularity value of the first road closest to the attraction. Multiply by twenty-five percent plus the second popularity value of the second road that is second to the attraction, multiplied by fifteen percent. When the cloud server selects a road, the second score is The second popularity value of the road is multiplied by forty percent.

且在本發明的一實施例中,該熱門景點是旅遊景點、飯店或餐廳。 And in an embodiment of the invention, the popular attraction is a tourist attraction, a restaurant or a restaurant.

且在本發明的一實施例中,該等景點及該等道 路是由該等導航裝置自動回饋上傳至該雲端伺服器。 And in an embodiment of the invention, the attractions and the roads The road is automatically fed back to the cloud server by the navigation device.

本發明藉由雲端伺服器收集導航裝置實際導航過的景點及道路資訊,並根據各該景點及道路的導航次數(即曾經經過或到過景點或道路的次數)產生相對應的第一熱門值及第二熱門值,以在被要求提供熱門景點排行資訊時,可以根據該等第一熱門值及第二熱門值運算出該等景點的熱門分數,並根據熱門分數高低對該等景點進行排序,而提供即時且客觀公正的熱門景點排行資訊,確實達到本發明的功效與目的。 The invention collects the scenic spots and road information actually navigated by the navigation device by using the cloud server, and generates corresponding first popularity values according to the number of navigations of the scenic spots and the roads (that is, the number of times the scenic spots or roads have passed or passed) And the second popular value, in order to provide the popular attraction ranking information, the popular scores of the scenic spots may be calculated according to the first popular value and the second popular value, and the scenic spots are sorted according to the popular scores. Providing immediate, objective and fair information on the rankings of popular attractions does achieve the efficacy and purpose of the present invention.

1‧‧‧雲端伺服器 1‧‧‧Cloud Server

S1-S4‧‧‧步驟 S1-S4‧‧‧ steps

本發明之其他的特徵及功效,將於參照圖式的實施方式中清楚地呈現,其中:圖1是本發明熱門景點排行方法的一實施例的主要流程圖;及圖2是本發明熱門景點排行系統的一實施例的主要架構圖。 Other features and effects of the present invention will be apparent from the embodiments of the present invention, wherein: FIG. 1 is a main flow diagram of an embodiment of a method for ranking a popular attraction of the present invention; and FIG. 2 is a hot spot of the present invention. The main architectural diagram of an embodiment of the ranking system.

參見圖1所示,是本發明熱門景點排行方法的一實施例的主要流程圖,且該方法應用於圖2所示之由雲端伺服器1與複數個能經由網路與雲端伺服器1通訊的導航裝置(圖2中僅以導航裝置A及導航裝置B示範說明)構成的熱門景點排行系統。且如圖1的步驟S1所示,首先該方法令雲端伺服器1儲存複數地區的景點及其相對應的一 第一熱門值,以及該等地區的複數條道路及其相對應的一第二熱門值,其中該等景點及該等道路是導航裝置A(代表複數個導航裝置)導航時曾經到過或經過的地方,例如,當導航裝置A的使用者使用導航軟體選擇一景點並規劃導航路徑,且實際前往該景點後,導航軟體會將該景點及其導航經過的道路等資訊自動上傳回饋至雲端伺服器1,則雲端伺服器1會在第一次收到導航裝置A傳來的景點資訊時,開始累計該景點相對應的第一熱門值,因此,當後續還有導航裝置導航至該景點或經過該景點並回傳給雲端伺服器1,則該景點的第一熱門值即加1,所以當越多使用者經過或到過該景點,則該景點的第一熱門值越高。同理,雲端伺服器1亦會在第一次收到導航裝置A傳來的道路資訊時,開始累計其相對應的第二熱門值,因此當後續有使用者(即導航裝置)導航經過該道路並回傳給雲端伺服器1,則該道路的第二熱門值即加1,所以當越多使用者經過該道路,則該道路的第二熱門值(代表該道路的車流量)就越高。因此,上述第一熱門值與所對應的景點曾經做為導航終點或在導航路徑上的次數有關,而上述第二熱門值與所對應的道路曾經做為導航路徑的次數有關。 Referring to FIG. 1 , it is a main flowchart of an embodiment of a method for ranking a hot spot of the present invention, and the method is applied to the cloud server 1 and a plurality of networks capable of communicating with the cloud server 1 via the network as shown in FIG. 2 . A popular attraction ranking system composed of the navigation device (only the navigation device A and the navigation device B are exemplified in FIG. 2). And as shown in step S1 of FIG. 1, firstly, the method causes the cloud server 1 to store the scenic spots of the plurality of regions and their corresponding ones. a first popularity value, and a plurality of corresponding roads in the area and a corresponding second popularity value thereof, wherein the attractions and the roads have been visited or passed by the navigation device A (representing a plurality of navigation devices) during navigation Where, for example, when the user of the navigation device A uses the navigation software to select an attraction and plan a navigation route, and after actually going to the attraction, the navigation software automatically uploads the information such as the attraction and the road it navigates back to the cloud server. Device 1, when the cloud server 1 receives the attraction information from the navigation device A for the first time, it starts to accumulate the first popularity value corresponding to the attraction, so when there is a navigation device to navigate to the attraction or After passing the attraction and returning it to the cloud server 1, the first popularity value of the attraction is increased by 1, so that the more the user passes or passes the attraction, the higher the first popularity value of the attraction. Similarly, when the cloud server 1 receives the road information from the navigation device A for the first time, it starts to accumulate its corresponding second popularity value, so when a user (ie, the navigation device) navigates through the The road is then passed back to the cloud server 1, and the second hot value of the road is incremented by 1, so the more the user passes the road, the second popular value of the road (representing the traffic volume of the road) high. Therefore, the first popularity value is related to the number of times the corresponding attraction has been used as the navigation destination or on the navigation path, and the second popularity value is related to the number of times the corresponding road has been used as the navigation path.

藉此,如圖1的步驟S2所示,當雲端伺服器1被一導航裝置B(例如上述的複數個導航裝置其中之一,當然也可以是上述導航裝置A或是其它的電子裝置)要求提供某一地區的熱門景點(例如旅遊景點、飯店或餐廳等其中一種類別或全部類別)排行時,如圖1的步驟S3所示,雲端 伺服器1會從儲存的該等景點中找出位於該地區,且符合例如旅遊景點、飯店或餐廳等其中一種類別或全部類別的複數個景點,以及各該景點所對應的第一熱門值,以及從儲存的該等道路中找出與各該景點相距一預定距離(例如200公尺)內的所有臨近道路或至少一條道路,以及各該道路所對應的第二熱門值。 Thereby, as shown in step S2 of FIG. 1, when the cloud server 1 is required by a navigation device B (for example, one of the plurality of navigation devices described above, of course, the navigation device A or other electronic device) When providing a popular attraction in a certain area (for example, one of the tourist attractions, restaurants, restaurants, or all categories), as shown in step S3 of Figure 1, the cloud The server 1 finds, among the stored attractions, a plurality of attractions located in the area and conforming to one or all of the categories such as tourist attractions, restaurants or restaurants, and the first popularity value corresponding to each of the attractions. And finding, from the stored roads, all adjacent roads or at least one road within a predetermined distance (for example, 200 meters) from each of the scenic spots, and a second popularity value corresponding to each of the roads.

然後,如圖1的步驟S4所示,雲端伺服器1根據上述步驟S3找出的該等第一熱門值及第二熱門值,計算各該景點的一熱門分數,以根據該等熱門分數高低對該等景點進行降冪排序,並提供排序結果給導航裝置B。 Then, as shown in step S4 of FIG. 1 , the cloud server 1 calculates a hot score of each of the scenic spots according to the first hot value and the second hot value found in the above step S3, according to the popularity scores. The attractions are sorted by power and the ranking results are provided to the navigation device B.

更確切地說,在本實施例中,每一景點的該熱門分數的計算方式為該景點的一第一分數加上一第二分數,其中該第一分數是第一熱門值乘以百分之六十,且雲端伺服器1是從步驟S3中找出的所有通往該景點的道路中,選出與該景點距離較近的最多前三條道路,因此,當雲端伺服器1選出三條道路(亦即通往該景點的道路至少有三條或三條以上)時,則該第二分數是與該景點距離最近的第一條道路的第二熱門值(最高)乘以百分之二十加上與該景點距離次之的第二條道路的第二熱門值(次高)乘以百分之十二加上與該景點距離較遠的第三條道路的第二熱門值(較低)乘以百分之八,而當雲端伺服器1選出二條道路(亦即通往該景點的道路只有兩條)時,該第二分數是與該景點距離最近的第一條道路的第二熱門值(最高)乘以百分之二十五加上與該景點距離次之的第二條道路的第二熱門值(次高) 乘以百分之十五,且當雲端伺服器1選出一條道路(亦即通往該景點的道路只有一條)時,則第二分數即是該條道路的第二熱門值乘以百分之四十。 More specifically, in this embodiment, the popularity score of each attraction is calculated as a first score of the attraction plus a second score, wherein the first score is the first popularity value multiplied by a percentage Sixty, and the cloud server 1 selects the top three roads that are closer to the attraction from all the roads that are found in the step S3, so when the cloud server 1 selects three roads ( When there are at least three or more roads leading to the attraction, the second score is the second most popular value (highest) of the first road closest to the attraction, multiplied by 20% plus The second most popular value (second highest) of the second road next to the attraction is multiplied by 12% plus the second popularity value (lower) of the third road farther from the attraction. At 8%, when Cloud Server 1 selects two roads (that is, there are only two roads to the attraction), the second score is the second most popular value of the first road closest to the attraction. (highest) multiplied by 25 percent plus the second lane next to the attraction The 2nd Favorite value (second highest) Multiply by 15%, and when Cloud Server 1 selects a road (that is, there is only one road to the attraction), the second score is the second most popular value of the road multiplied by forty.

藉此,雲端伺服器1能夠透過即時分析該等導航裝置提供的導航景點、道路等資訊,得到特定地區中某一特定類別(或者不分類別)的複數景點的熱門分數並據以排名,而提供更為客觀即時的熱門景點排行資訊給需要的使用者。 In this way, the cloud server 1 can obtain the popularity scores of a plurality of specific categories (or regardless of categories) in a specific region by immediately analyzing the navigation points, roads, and the like provided by the navigation devices, and ranking the points. Provide more objective and immediate information on popular attractions to the users who need them.

因此,本實施例有別於以往景點推薦排行方法的優點主要有:1、客觀性,由於本實施例是依據許多導航裝置實際進行導航,並且實際前往各該景點的次數以及各該景點附近道路做為導航路徑的次數(對應車流量)等確切數據來評分,而非依照使用者或消費者個人對景點的好惡決定其推薦評分,因此能夠更客觀公正地提供熱門景點排名資訊;2、即時性,由於本實施例的雲端伺服器1隨時不斷地接收各個導航裝置提供的導航數據,因此當雲端伺服器1收到一導航裝置(或其它電子裝置)要求提供某一地區的熱門景點時,其能夠根據最新的導航數據資訊,即時提供最新且最熱門的景點排行推薦資訊;3、方便性,藉由本實施例,導航裝置不需更新圖資即可獲得現有最新且最熱門的景點排行資訊,而且導航裝置在導航的過程中,即自動將導航經過的景點及道路 回傳至雲端伺服器1,並由雲端伺服器1進行後續分析處理,完全不需要人為手動進行評比。 Therefore, the advantages of this embodiment differ from the conventional attraction recommendation ranking method mainly include: 1. Objectivity, since the embodiment is based on actual navigation of many navigation devices, and the actual number of trips to each of the attractions and the roads near the scenic spots. As the exact data such as the number of navigation paths (corresponding to traffic flow), the score is not determined according to the user or the individual's personal preference for the attraction. Therefore, the ranking information of the popular attractions can be provided more objectively and fairly; Because the cloud server 1 of the embodiment continuously receives the navigation data provided by each navigation device at any time, when the cloud server 1 receives a navigation device (or other electronic device) requesting to provide a popular attraction in a certain area, According to the latest navigation data information, it can provide the latest and most popular scenic spot recommendation information in real time. 3. Convenience, with the embodiment, the navigation device can obtain the latest and most popular scenic spot information without updating the map. And the navigation device in the process of navigation, that is, the scenic spots and roads that will automatically navigate through It is sent back to the cloud server 1, and the subsequent analysis processing is performed by the cloud server 1, and no manual evaluation is required at all.

綜上所述,上述實施例藉由雲端伺服器收集導航裝置實際導航過的景點及道路資訊,並根據各該景點及道路的導航次數(即曾經經過或到過景點或道路的次數)產生相對應的第一熱門值及第二熱門值,以在被要求提供熱門景點排行資訊時,可以根據該等第一熱門值及第二熱門值運算出該等景點的熱門分數,並根據熱門分數高低對該等景點進行排序,而提供即時且客觀公正的熱門景點排行資訊給發出要求的導航裝置或其它電子裝置,確實達到本發明的功效與目的。 In summary, the above embodiment collects the scenic spots and road information actually navigated by the navigation device by using the cloud server, and generates phases according to the number of navigations of the scenic spots and roads (that is, the number of times that have passed or visited the scenic spots or roads). Corresponding the first hot value and the second hot value, in order to provide the popular attraction ranking information, the popular scores of the scenic spots may be calculated according to the first hot value and the second hot value, and according to the popular score Sorting the attractions, and providing immediate and objective and fair information on the rankings of the popular attractions to the requesting navigation device or other electronic device, does achieve the efficacy and purpose of the present invention.

惟以上所述者,僅為本發明之較佳實施例而已,當不能以此限定本發明實施之範圍,即大凡依本發明申請專利範圍及專利說明書內容所作之簡單的等效變化與修飾,皆仍屬本發明專利涵蓋之範圍內。 The above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, that is, the simple equivalent changes and modifications made by the patent application scope and patent specification content of the present invention, All remain within the scope of the invention patent.

S1~S4‧‧‧步驟 S1~S4‧‧‧ steps

Claims (8)

一種熱門景點排行方法,應用於一雲端伺服器,該方法包括:(A)該雲端伺服器儲存複數地區的景點及其相對應的一第一熱門值,以及該等地區的複數條道路及其相對應的一第二熱門值,其中該等景點及該等道路是複數導航裝置導航時曾經到過的地方,且該第一熱門值是與所對應的景點曾經做為導航終點或在導航路徑上的次數有關,而該第二熱門值是與所對應的道路曾經做為導航路徑的次數有關;(B)當該雲端伺服器被要求提供某一地區的熱門景點排行時,該雲端伺服器從儲存的該等景點中找出位於該地區的複數景點及其對應的該第一熱門值,以及從儲存的該等道路中找出與各該景點相距一預定距離內的至少一條道路及其對應的該第二熱門值;及(C)該雲端伺服器根據步驟(B)找出的該等第一熱門值及該等第二熱門值,計算各該景點的一熱門分數,且依該等熱門分數對該等景點進行排名,並提供排名結果。 A popular attraction ranking method is applied to a cloud server, the method comprising: (A) the cloud server storing a plurality of scenic spots and corresponding first popularity values thereof, and a plurality of roads in the regions and Corresponding to a second popularity value, wherein the scenic spots and the roads are places that have been visited when the plurality of navigation devices are navigated, and the first popularity value is used as a navigation destination or a navigation path with the corresponding attraction point. The number of times is related, and the second popularity value is related to the number of times the corresponding road used to be the navigation path; (B) when the cloud server is required to provide the ranking of popular spots in a certain area, the cloud server Finding a plurality of scenic spots located in the area and the corresponding first popularity values from the stored attractions, and finding at least one road within a predetermined distance from each of the stored roads and Corresponding to the second popularity value; and (C) the cloud server calculates a popular score of each of the scenic spots according to the first hot values and the second hot values found in step (B), and Popular attractions such as the scores are ranked, and provides ranking results. 如請求項1所述的熱門景點排行方法,在步驟(C)中,每一景點的該熱門分數為該景點的一第一分數加上一第二分數,其中該第一分數是該第一熱門值乘以百分之六十,且該雲端伺服器是從找出的至少一條通往該景點的道路中選出與該景點距離較近的最多前三條道路,因此當 該雲端伺服器選出三條道路時,該第二分數是與該景點距離最近的第一條道路的該第二熱門值乘以百分之二十加上與該景點距離次之的第二條道路的該第二熱門值乘以百分之十二加上與該景點距離較遠的第三條道路的該第二熱門值乘以百分之八,當該雲端伺服器選出二條道路時,該第二分數是與該景點距離最近的第一條道路的該第二熱門值乘以百分之二十五加上與各該景點距離次之的第二條道路的該第二熱門值乘以百分之十五,當該雲端伺服器選出一條道路時,該第二分數是該條道路的該第二熱門值乘以百分之四十。 The method for ranking a popular attraction according to claim 1, wherein in step (C), the popularity score of each attraction is a first score of the attraction plus a second score, wherein the first score is the first The top value is multiplied by 60%, and the cloud server selects the top three roads that are closer to the attraction from at least one of the roads that lead to the attraction, so when When the cloud server selects three roads, the second score is the second popularity value of the first road closest to the attraction, multiplied by twenty percent plus the second road second to the attraction. The second popularity value is multiplied by 12% plus the second popularity value of the third road farther from the attraction, multiplied by eight percent. When the cloud server selects two roads, the The second score is the second popularity value of the first road closest to the attraction multiplied by 25 percent plus the second popularity value of the second road second to each attraction Fifteen percent, when the cloud server selects a road, the second score is the second popularity value of the road multiplied by forty percent. 如請求項1所述的熱門景點排行方法,在步驟(B)中,該熱門景點是旅遊景點、飯店或餐廳。 The hot spot ranking method according to claim 1, wherein in step (B), the hot spot is a tourist attraction, a restaurant or a restaurant. 如請求項1所述的熱門景點排行方法,在步驟(A)中,該等景點及該等道路是由該等導航裝置自動回饋上傳至該雲端伺服器。 In the method of claim 1, the scenic spots and the roads are automatically fed back to the cloud server by the navigation devices in step (A). 一種雲端伺服器,執行上述請求項1至4其中任一所述的熱門景點排行方法。 A cloud server that performs the hot spot ranking method described in any one of the above claims 1 to 4. 一種熱門景點排行系統,包括:一雲端伺服器,儲存複數地區的景點及其相對應的一第一熱門值,以及該等地區的複數條道路及其相對應的一第二熱門值,其中該等景點及該等道路是複數導航裝置導航時曾經到過的地方,且該第一熱門值是與所對應的景點曾經做為導航終點或在導航路徑上的次數有關,而該第二熱門值是與所對應的道路曾經做為導航路徑 的次數有關;及複數導航裝置,能透過網路與該雲端伺服器通訊,並將其導航時曾經到過的該等景點及該等道路自動上傳至該雲端伺服器,且該等導航裝置其中之一向該雲端伺服器要求提供某一地區的熱門景點排行時,該雲端伺服器從儲存的該等景點中找出位於該地區的複數景點及其對應的該第一熱門值,以及從儲存的該等道路中找出與各該景點相距一預定距離內的至少一條道路及其對應的該第二熱門值,並根據找出的該等第一熱門值及該等第二熱門值,計算各該景點的一熱門分數,且依該等熱門分數對該等景點進行排名,並提供排名結果給該導航裝置。 A popular attraction ranking system includes: a cloud server, storing a plurality of scenic spots and a corresponding first popularity value thereof, and a plurality of roads of the regions and a corresponding second popularity value thereof, wherein the The scenic spots and the roads are places that have been visited by the plurality of navigation devices during navigation, and the first popularity value is related to the number of times the corresponding scenic spots used to be the navigation destination or on the navigation path, and the second popularity value Is the same as the road that used to be the navigation path Related to the number of times; and a plurality of navigation devices capable of communicating with the cloud server through the network, and automatically uploading the attractions and the roads that have been visited during the navigation to the cloud server, and the navigation devices When one of the cloud servers requests to provide a popular attraction ranking in a certain area, the cloud server finds the plurality of scenic spots located in the area and the corresponding first popular value from the stored spots, and from the stored Finding at least one road within a predetermined distance from each of the scenic spots and the corresponding second popularity value in the roads, and calculating each of the first hot values and the second hot values according to the found first hot values and the second hot values A popular score for the attraction, and ranking the attractions based on the popularity scores, and providing ranking results to the navigation device. 如請求項6所述的熱門景點排行系統,其中每一景點的該熱門分數為該景點的一第一分數加上一第二分數,其中該第一分數是該第一熱門值乘以百分之六十,且該雲端伺服器是從找出的至少一條通往該景點的道路中選出與該景點距離較近的最多前三條道路,因此當該雲端伺服器選出三條道路時,該第二分數是與該景點距離最近的第一條道路的該第二熱門值乘以百分之二十加上與該景點距離次之的第二條道路的該第二熱門值乘以百分之十二加上與該景點距離較遠的第三條道路的該第二熱門值乘以百分之八,當該雲端伺服器選出二條道路時,該第二分數是與該景點距離最近的第一條道路的該第二熱門值乘以百分之二十五加上與各該景點距離次之的第二 條道路的該第二熱門值乘以百分之十五,當該雲端伺服器選出一條道路時,該第二分數是該條道路的該第二熱門值乘以百分之四十。 The popular attraction ranking system of claim 6, wherein the popularity score of each attraction is a first score of the attraction plus a second score, wherein the first score is the first popularity value multiplied by a percentage Sixty, and the cloud server selects at most the first three roads that are closer to the attraction from at least one road to the attraction, so when the cloud server selects three roads, the second The score is the second popularity value of the first road closest to the attraction multiplied by twenty percent plus the second popularity value of the second road second to the attraction, multiplied by ten percent Second, the second popularity value of the third road far away from the attraction is multiplied by eight percent. When the cloud server selects two roads, the second score is the first closest to the attraction. The second popular value of the road is multiplied by 25 percent plus the second closest to each attraction The second popularity value of the road is multiplied by fifteen percent. When the cloud server selects a road, the second score is the second popularity value of the road multiplied by forty percent. 如請求項6所述的熱門景點排行系統,其中該熱門景點是旅遊景點、飯店或餐廳。 A popular attraction ranking system as described in claim 6, wherein the popular attraction is a tourist attraction, a restaurant or a restaurant.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111141301A (en) * 2019-12-25 2020-05-12 腾讯科技(深圳)有限公司 Navigation end point determining method, device, storage medium and computer equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111141301A (en) * 2019-12-25 2020-05-12 腾讯科技(深圳)有限公司 Navigation end point determining method, device, storage medium and computer equipment
CN111141301B (en) * 2019-12-25 2022-06-10 腾讯科技(深圳)有限公司 Navigation end point determining method, device, storage medium and computer equipment

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