CN110321516B - Universal tourism public service platform and management system thereof - Google Patents
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Abstract
The invention relates to a universal tourism public service platform and a management system thereof, comprising a navigation module, a navigation module and a management module, wherein the navigation module is used for displaying all classified navigation titles; the system comprises a personal customization module, a popular choice recommendation module, a characteristic commodity module, a scenic spot picture management module and a control module, wherein the personal customization module is used for displaying various scenic pictures for a user to select; the system comprises a logic operation module, a maintenance module and a data processing module, wherein the logic operation module is used for counting the actual matching degree of the travel recommendation plan and the user decision, and the maintenance module is used for updating the data type in the data perfecting process and updating popular competitive products and special products; the questionnaire survey module is used for commenting on the travel recommendation plan by the system after the travel recommendation plan is made by the user, and the online display of the offline facility is realized by the online channel of the access line, so that the demand of tourists is fully met, the benefit rate of each resource is increased, and the product experience of the current user side is optimized.
Description
Technical Field
The invention relates to the field of intelligent tourism, in particular to a universal tourism public service platform and a management system thereof.
Background
The intelligent tourism is a brand-new proposition, and is an application of technologies such as internet of things, cloud computing, next-generation communication network, high-performance information processing, intelligent data mining and the like in the aspects of tourism experience, industrial development, administrative management and the like, so that tourism physical resources and information resources are highly systematized, integrated, deeply developed and activated, and serve a brand-new tourism form facing the future of the public, enterprises, governments and the like. The integrated information management system is based on the integrated communication and information technology, is centered on the interaction experience of tourists, is guaranteed by integrated industry information management, and is characterized by exciting industrial innovation and promoting the upgrading of industrial structures. The intelligent tourism is realized by utilizing new technologies such as mobile cloud computing and the Internet and by means of portable terminal internet access equipment, the related information of the tourism is sensed actively, and a tourism plan is arranged and adjusted in time. In short, the tourists interact with the network in real time to enable the run length arrangement to enter the touch era. The intelligent tourism is a new mode of tourism informatization development which is based on cloud computing, takes application of a mobile terminal as a core and takes high-efficiency information services such as perception interaction and the like as characteristics, and the core is high-efficiency tourism informatization services taking tourists as the basis. The construction and development of the intelligent tourism can be finally embodied in three layers of tourism management, tourism service and tourism marketing. The intelligent tourism utilizes an informationized technology to integrate some tourism resources, and then custom-made tourism products suitable for roads are provided for wide tourists.
The 'one-game' products in the existing market are all the time, but the interaction with common users is less, the use scene is relatively single, and the resource value maximization of a resource provider and the 'before-game-in-game-after-game' full-stack experience of tourists cannot be met to a large extent.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a universal tourism public service platform and a management system thereof.
The purpose of the invention is realized by the following technical scheme:
a global travel public service platform, comprising:
the navigation module is used for displaying all classified navigation titles;
the personal customization module is used for displaying various scenic pictures for the user to select and recommending corresponding scenic spot planning routes according to the scenic spot pictures;
the hot competitive product recommending module is used for endowing a hot competitive product label for the item needing special marketing and displaying the label on the section;
and the characteristic commodity module is used for displaying all the commodities which can be sold.
Further, the classified navigation title comprises six entrances of scenic spots, food, accommodation, leisure, routes and tickets.
Further, the personal customization module comprises a set of personal customization steps, which comprises the following steps:
s100: the data is complete and is filled in the number of people, sex, age bracket, target travel time and days, budget expenditure and scenic spots once traveled;
s200: preference screening, namely displaying a series of landscape pictures by a system, and selecting one or more favorite landscape pictures by a user according to personal preferences;
s300: and (4) customizing a scheme, and recommending a corresponding tour route by a system background according to a clustering algorithm and by combining the data information of the user.
Furthermore, the landscape pictures are classified and matched with class numbers, and the same class number at least comprises more than three pictures.
Further, the step of classifying the landscape picture comprises:
s1: determining two boundaries which take natural landscapes and human landscapes as classifications, wherein all landscape classifications belong to the two boundaries;
s2: determining a difference coefficient K between two adjacent classes, and when K =0 or K =1, determining the natural landscape or the human landscape representing the two boundaries;
s3: if the classification is classified as class 1 based on one of the boundaries, the similarity between class 2 and class 1 is (1-K), the similarity between class 3 and class 1 is (1-2K), and the similarity between class N and class 1 is 0, where N = 1/K.
Further, the value of K is (0.01, 0.1).
Further, the total number of pictures displayed by the system is not lower than 3N.
Further, the step S300 includes the following sub-steps:
s301: determining the classified distribution of scenic spots preferred by a user according to a picture selected by the user, wherein the distribution type is divided into a discrete distribution type and a clustering distribution type;
s302: scenic spot recommendation, namely, scenic spot recommendation is carried out by combining scenic spots which are once visited by a user and combining the preferred scenic spot classification distribution of the scenic spots; for the clustering-shaped distribution users, selecting and classifying the scenic spots corresponding to the clustering-shaped distribution users; for the discrete distribution situation, corresponding scenic spot recommendation is carried out according to the classification proportion, wherein at least more than three scenic spots are selected as alternatives for the same scenic spot;
s303: and combining the scenic spots with the gender, age, target travel time days and expenditure budget of the user according to the recommended scenic spots to generate at least three pieces of travel recommendation plans.
A global travel public service platform management system, comprising:
the scenic spot picture management module is used for regularly updating or replacing various scenic pictures displayed in the personal customization module;
the logic operation module is used for counting the actual matching degree of the tourism recommendation plan and the user decision so as to continuously optimize the scenic spot recommendation strategy;
the maintenance module is used for updating the data types in the data improvement process and updating popular competitive products and special products;
and the questionnaire survey module is used for commenting the travel recommendation plan by the system after the system makes the plan, and acquiring commenting information so as to optimize the recommendation strategy.
Further, the questionnaire survey module is activated after the travel is finished or the user stops \ abandons the travel recommendation plan.
The invention has the beneficial effects that: compared with the traditional platform, the biggest advantage of the scheme is that four kinds of tourism selection schemes are provided, specifically including that the user autonomously follows DIY tourism routes through the navigation module, the tourism routes are recommended according to user preference system analysis, the system popular competitive route is recommended, and the characteristic route is recommended, so that the tourism mode is enriched, the interaction between the user and the platform is increased, the recommendation of the routes and the experience of the platform for the user are improved, and a great amount of user attention is attracted.
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FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail with reference to the following specific examples, but the scope of the present invention is not limited to the following.
As shown in fig. 1, a global travel public service platform includes:
the navigation module is used for displaying all classified navigation titles, the classified navigation titles comprise six entrances of scenic spots, food, accommodation, leisure, routes and tickets, a user can enter the scenic spots, food, accommodation, leisure, routes and tickets corresponding to the independent DIY from the navigation module, the system automatically generates corresponding travel planning routes after the selection is finished, and the route difference is only that the sequences of the scenic spots are different.
The personal customization module is used for displaying various scenic pictures for the user to select and recommending corresponding scenic spot planning routes according to the scenic spot pictures;
the hot competitive product recommending module is used for endowing a hot competitive product label for the item needing special marketing and displaying the label on the section; 1. the operation team edits the uploaded case, recommends scenic spots, gourmets, lodging, leisure and the like, and stamps competitive labels on scenic spots, restaurants, hotel accommodations, leisure places or combined lines and suit tickets which are maintained at the background for display.
The special commodity module is used for displaying all commodities which can be sold, and the commodity detail page displays all information of currently selected commodities, including basic information, price information and commodity detailed introduction. The online transaction flow, the commodity reservation page, namely the commodity detail page, can create an order by clicking the reservation by a user, supports the user to confirm order information (commodity information and the number of commodities) on the page and fill in tourist identity information including a telephone, a mail box and a receiving address, and the old user can directly select the maintained receiving address, supports the user to select a payment mode on the page for online payment and needs to be connected with each large payment platform. The payment mode of each product development needs to be maintained and set by an operation team in the background, the logistics information display page displays a logistics order number, the order number is uploaded by the operation team through an operation background order system, and a user is supported to check a created order, modify unpaid order information, select an order to be paid, perform after-sale operation (applying for a refund, applying for a refund and applying for a re-instation) on an order management page and confirm receiving.
As a preferred embodiment, the personal customization module comprises a set of personal customization steps, which comprises the following steps:
s100: the data is complete and is filled in the number of people, sex, age bracket, target travel time and days, budget expenditure and scenic spots once traveled;
s200: preference screening, namely displaying a series of landscape pictures by a system, and selecting one or more favorite landscape pictures by a user according to personal preferences;
s300: and (4) customizing a scheme, and recommending a corresponding tour route by a system background according to a clustering algorithm and by combining the data information of the user.
As a preferred embodiment, the landscape pictures are classified and matched with class numbers, and at least three or more pictures are included in the same class number.
The steps of the classification of the landscape pictures are as follows:
s1: determining two boundaries which take natural landscapes and human landscapes as classifications, wherein all landscape classifications belong to the two boundaries;
s2: determining a difference coefficient K between two adjacent classes, and when K =0 or K =1, determining the natural landscape or the human landscape representing the two boundaries;
s3: if the classification is classified as class 1 based on one of the boundaries, the similarity between class 2 and class 1 is (1-K), the similarity between class 3 and class 1 is (1-2K), and the similarity between class N and class 1 is 0, where N = 1/K.
In other words, in the scheme, one of the boundaries is used as a base point to be derived from the other boundary, for example, a natural landscape is selected as the base point and is used as the class 1, the difference between the class 2 and the class 1 (natural landscape) is K, the similarity with the human landscape is K, and the specific quantification can be understood in such a way that the natural landscape is 100% of pure natural landscape landscapes such as grasslands and original forests, and the human landscape is 100% of pure human creating landscapes which are typically represented as museums and city streets; when the nature landscape is taken as the class 1, the class 2 indicates that the ratio of the human landscape in the landscape is K%, and the specific abstraction of the human landscape ratio is artificial buildings such as streets, houses and the like.
As a preferred embodiment, the value of K is (0.01, 0.1), the total number of pictures displayed by the system is not less than 3N, that is, at least 3 pictures of different scenic spots are placed for the user to select in each category, theoretically, the more pictures are placed, the more pictures are selected by the user, the smaller the value of K is, and the higher the accuracy of the subsequent calculation is, so that the platform should explain this to prompt the user to make more choices as much as possible.
As a preferred embodiment, the step S300 includes the following sub-steps:
s301: the scenic spot classified distribution preferred by the user is determined according to the picture selected by the user, the distribution type is divided into a discrete type distribution type and a cluster distribution type, the discrete type distribution referred to in the invention means that the scenic spot classification selected by the user is discontinuous, the span is large, for example, the user selects 1 type, 5 type and 9 type, the scenic spot classified distribution is represented as a discrete type, and if the user selects 3 type, 4 type, 5 type or 3 type, 5 type or all the types are one type, the scenic spot classified distribution can be judged as cluster distribution.
S302: scenic spot recommendation, namely, scenic spot recommendation is carried out by combining scenic spots which are once visited by a user and combining the preferred scenic spot classification distribution of the scenic spots; for the clustering-shaped distribution users, selecting and classifying the scenic spots corresponding to the clustering-shaped distribution users; for the discrete distribution situation, corresponding scenic spot recommendation is carried out according to the classification proportion, wherein at least more than three scenic spots are selected as alternatives for the same scenic spot;
s303: and combining the scenic spots with the gender, age, target travel time days and expenditure budget of the user according to the recommended scenic spots to generate at least three pieces of travel recommendation plans.
A global travel public service platform management system, comprising:
the scenic spot picture management module is used for regularly updating or replacing various scenic pictures displayed in the personal customization module;
the logic operation module is used for counting the actual matching degree of the tourism recommendation plan and the user decision so as to continuously optimize the scenic spot recommendation strategy;
the maintenance module is used for updating the data types in the data improvement process and updating popular competitive products and special products;
and the questionnaire survey module is used for commenting the travel recommendation plan by the system after the system makes the plan, and acquiring commenting information so as to optimize the recommendation strategy.
As a preferred embodiment, the questionnaire module is activated after the travel is over or the user suspends/abandons the travel recommendation program.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A global travel public service platform, comprising:
the navigation module is used for displaying all classified navigation titles;
the personal customization module is used for displaying various scenic pictures for the user to select, and recommending corresponding scenic spot planning routes by combining personal preference with a clustering algorithm and data information of the user;
the hot competitive product recommending module is used for endowing a hot competitive product label for the item needing special marketing and displaying the label on the section;
the characteristic commodity module is used for displaying all commodities which can be sold;
the landscape pictures are classified and matched with class numbers, and the same class number at least comprises more than three pictures;
the steps of the classification of the landscape picture are as follows:
s1: determining two boundaries which take natural landscapes and human landscapes as classifications, wherein all landscape classifications belong to the two boundaries;
s2: determining a difference coefficient K between two adjacent classes, and when K =0 or K =1, determining the natural landscape or the human landscape representing the two boundaries;
s3: if the classification is classified as class 1 based on one of the boundaries, the similarity between class 2 and class 1 is (1-K), the similarity between class 3 and class 1 is (1-2K), and the similarity between class N and class 1 is 0, where N = 1/K.
2. The global travel public service platform as claimed in claim 1, wherein the classified navigation title comprises six entrances of scenic spots, delicates, lodging, leisure, routes and tickets.
3. The global travel public service platform as claimed in claim 1, wherein the personal customization module comprises a set of personal customization steps, comprising:
s100: the data is complete and is filled in the number of people, sex, age bracket, target travel time and days, budget expenditure and scenic spots once traveled;
s200: preference screening, namely displaying a series of landscape pictures by a system, and selecting one or more favorite landscape pictures by a user according to personal preferences;
s300: and (4) customizing a scheme, and recommending a corresponding tour route by a system background according to a clustering algorithm and by combining the data information of the user.
4. The global travel public service platform as claimed in claim 1, wherein the value of K is (0.01, 0.1).
5. The global travel public service platform as claimed in claim 3, wherein the total number of pictures displayed by the system is not less than 3N.
6. The global travel public service platform as claimed in claim 5, wherein the step S300 comprises the following sub-steps:
s301: determining the classified distribution of scenic spots preferred by a user according to a picture selected by the user, wherein the distribution type is divided into a discrete distribution type and a clustering distribution type;
s302: scenic spot recommendation, namely, scenic spot recommendation is carried out by combining scenic spots which are once visited by a user and combining the preferred scenic spot classification distribution of the scenic spots; for the clustering-shaped distribution users, selecting and classifying the scenic spots corresponding to the clustering-shaped distribution users; for the discrete distribution situation, corresponding scenic spot recommendation is carried out according to the classification proportion, wherein at least more than three scenic spots are selected as alternatives for the same scenic spot;
s303: and combining the scenic spots with the gender, age, target travel time days and expenditure budget of the user according to the recommended scenic spots to generate at least three pieces of travel recommendation plans.
7. A global travel public service platform management system for managing the platform of any one of claims 1-6, comprising:
the scenic spot picture management module is used for regularly updating or replacing various scenic pictures displayed in the personal customization module;
the logic operation module is used for counting the actual matching degree of the tourism recommendation plan and the user decision so as to continuously optimize the scenic spot recommendation strategy;
the maintenance module is used for updating the data types in the data improvement process and updating popular competitive products and special products;
and the questionnaire survey module is used for commenting the travel recommendation plan by the system after the system makes the plan, and acquiring commenting information so as to optimize the recommendation strategy.
8. The global travel public service platform management system as claimed in claim 7, wherein the questionnaire survey module is activated after the travel is finished or the user suspends/gives up the travel recommendation program.
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| CN112036753A (en) * | 2020-09-02 | 2020-12-04 | 杭州晶瞳文化科技有限公司 | Management system and terminal of wisdom tourism |
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| CN102117471A (en) * | 2009-12-31 | 2011-07-06 | 上海天那电器有限公司 | Multimedia network service platform for independent travel |
| CN104156772A (en) * | 2014-08-20 | 2014-11-19 | 太仓苏易信息科技有限公司 | Multifunctional travel customization system |
| CN108537373A (en) * | 2018-03-27 | 2018-09-14 | 黄晓鸣 | Travel information recommends method and apparatus |
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| EP1920393A2 (en) * | 2005-07-22 | 2008-05-14 | Yogesh Chunilal Rathod | Universal knowledge management and desktop search system |
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|---|---|---|---|---|
| CN102117471A (en) * | 2009-12-31 | 2011-07-06 | 上海天那电器有限公司 | Multimedia network service platform for independent travel |
| CN104156772A (en) * | 2014-08-20 | 2014-11-19 | 太仓苏易信息科技有限公司 | Multifunctional travel customization system |
| CN108537373A (en) * | 2018-03-27 | 2018-09-14 | 黄晓鸣 | Travel information recommends method and apparatus |
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