CN110287416A - A kind of travelling recommender system based on big data - Google Patents
A kind of travelling recommender system based on big data Download PDFInfo
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Abstract
The travelling recommender system based on big data that the invention discloses a kind of, including user's recording module, information collection module, weather forecast module, tourist city database, constitution judgment module, city screening module, travel-line planning module, travelling route recommending module and the central processing unit to work for controlling and coordinating each part mentioned above.The information that the present invention passes through collection traveller in all its bearings, according to the demand and feature of traveller and the characteristics of combining city finds out the city of suitable tourist trip, recommend suitable route, it is selected for traveller, the time that this large amount of business personnel for having saved tourist corporation and traveller link up, improve experience of the traveller before travelling.
Description
Technical field
The present invention relates to touring system field, in particular to a kind of travelling recommender system based on big data.
Background technique
Tourism is that a popular method loosened, people can go out when festivals or holidays in present people
Travelling.But the body of traveller can be required by being different tourist destination, and traveller also has the expected class wanted
Therefore the city of type will find suitable tourist city for traveller and travelling route is very not easy, generally require to travel
The business personnel and traveller of company are comprehensively linked up, and are finally made decision, and such efficiency is very low, for travelling
The time of person is greatly to waste.
Summary of the invention
The purpose of the present invention is overcoming above-mentioned problems of the prior art, a kind of travelling based on big data is provided and is pushed away
System is recommended, by collecting the information of traveller in all its bearings, according to the demand and feature of traveller and the spy in combination city
Point finds out the city of suitable tourist trip, recommends suitable route, selects for traveller, this large amount of to have saved tourism public affairs
The time that the business personnel of department and traveller link up, improve experience of the traveller before travelling.
For this purpose, the present invention provides a kind of travelling recommender system based on big data, comprising:
User's recording module, by user in the typing of client, the identity information for obtaining user and user are to tourism
The demand information of type.
Information collection module obtains the passenger flow information in the former years in each city by internet and predicts each city current year
Passenger flow information, be also used to according to the identity information of user in the physical examination report for obtaining user on the internet.
Weather forecast module is obtained the weather forecast in each city by internet, is updated daily.
Tourist city database, for store the type in each city, feature, the constitution for being not suitable for crowd, weather and
Sight spot, and support the calling of central processing unit.
The physical examination report that information collection module obtains is analyzed, obtains the constitution information of user by constitution judgment module.
City screening module, according to user in user's recording module to the demand information and constitution judgment module of type of tour
The constitution information of middle user is screened in tourist city database, obtains the city that user is suitble to tourism.
Travel-line planning module determines multiple groups from the city that user obtained in the screening module of city is suitble to tourism
The city of quantity is set, and is successively gone to the sequence of sequence to be formed in each group of city respectively according to the most short principle of route
Multiple groups travelling route.
Travelling route recommending module, according to the current year passenger flow information in each city of information collection module prediction respectively to every
The passenger flow information in one group of city integrated and go to this group of city average passenger flow information be the travelling route passenger flow information,
And the characteristics of passenger flow information corresponding to each group of travelling route and the route and each city of the group and sight spot is shown
To user.
Central processing unit, for controlling and coordinating the work of each part mentioned above.
Preferably, user's recording module includes:
User identity recording module identifies that the identity card of user obtains the identity information of user by identification module；It is described
Identification module includes two dimensional code identification module and image recognition.
Type of tour selecting module passes through the demand information for the type that user input mouth makes user's typing plan travel.
Preferably, the information collection module includes:
Physical examination report acquisition module passes through the physical examination cloud of each physical examination mechanism and each hospital according to the identity information of user
Client database obtains the newest physical examination report of user.
Passenger flow estimation module obtains the passenger flow information and the policy information of current year in each city former years by internet, and
According to the passenger flow information of the passenger flow information in former years and the policy information of current year prediction current year.
Preferably, the passenger flow estimation module includes:
Former years passenger flow obtains module, obtains the passenger flow information that each city sets each year in the time limit by internet.
Current year policy obtains module, obtains current year about the policy information of tourism from Tourism Bureau official website by internet.
Passenger flow statistics module, for counting each year passenger flow information, and formation curve figure.
Passenger flow analysing module is moved towards, according to preliminary estimation the passenger flow of current year according to the trend of the curve graph in passenger flow statistics module
Information.
Current year passenger flow estimation module handles passenger flow information according to preliminary estimation according to policy information to obtain the visitor of current year
Stream information simultaneously sends central processing unit for the passenger flow information of current year.
Processor, for controlling and coordinating the work of each part mentioned above.
Preferably, the physical examination report that the information collection module obtains is decomposed to obtain often by the constitution judgment module
One physical examination data, and will respectively be compared the physical examination data of each with normal data, and existed according to comparison result
It is searched in physical examination database and obtains the constitution information of user, the physical examination database is for recording various physical examination data and criterion numeral
According to difference and corresponding constitution information.
A kind of travelling recommender system based on big data provided by the invention, has the following beneficial effects:
By collecting the information of traveller in all its bearings, according to the demand and feature of traveller and the spy in combination city
Point finds out the city of suitable tourist trip, recommends suitable route, selects for traveller, this large amount of to have saved tourism public affairs
The time that the business personnel of department and traveller link up, improve experience of the traveller before travelling.
Detailed description of the invention
Fig. 1 is a kind of integrated connection schematic block diagram of the travelling recommender system based on big data provided by the invention；
Fig. 2 is a kind of integrated connection of the passenger flow estimation module of the travelling recommender system based on big data provided by the invention
Schematic block diagram.
Specific embodiment
With reference to the accompanying drawing, multiple specific embodiments of the invention are described in detail, it is to be understood that of the invention
Protection scope be not limited by the specific implementation.
Embodiment 1
The work of modules of the invention and the data transmission transmission relationship between it is described in detail in the present embodiment, from
Whole angle realizes goal of the invention of the invention.
Specifically, as shown in Figure 1, the embodiment of the invention provides a kind of travelling recommender system based on big data, comprising:
User's recording module, by user in the typing of client, the identity information for obtaining user and user are to tourism
The demand information of type.In the module, user carries out typing by the identity information of oneself and for the demand information of type of tour,
Specific input method is unlimited, can also carry out typing by voice by words input.
Information collection module obtains the passenger flow information in the former years in each city by internet and predicts each city current year
Passenger flow information, be also used to according to the identity information of user in the physical examination report for obtaining user on the internet.The module is mutual
The passenger flow information in the former years in each city is obtained in networking and predicts the passenger flow information of each city current year, meanwhile, in root
The physical examination report of user is obtained on the internet according to the identity information of user, specifically, the system in various big hospital networking is enterprising
Row obtains, and is inquired by the identity of user, obtains the authorization of user, obtains the physical examination report of user.
Weather forecast module is obtained the weather forecast in each city by internet, is updated daily.The master of the module
It acts on to obtain the information of the weather forecast in each city, specifically, obtaining the information from weather bureau.
Tourist city database, for store the type in each city, feature, the constitution for being not suitable for crowd, weather and
Sight spot, and support the calling of central processing unit.By the city name in each city, type, feature, be not suitable for crowd constitution,
Weather and sight spot are all stored, and briefly, store the information state in terms of tourism in each city.
The physical examination report that information collection module obtains is analyzed, obtains the constitution information of user by constitution judgment module.
The module analyzes physical examination report, obtains the constitution information of user from the physical examination of user report, such as obtain user's mesh
The preceding sufferer information suffered from.
City screening module, according to user in user's recording module to the demand information and constitution judgment module of type of tour
The constitution information of middle user is screened in tourist city database, obtains the city that user is suitble to tourism.The module is to trip
City in trip Urban Data library is screened with the constitution of user according to the demand of user, and getting rid of user does not have demand and use
The improper city gone in family obtains the city that user is suitble to tourism.
Travel-line planning module determines multiple groups from the city that user obtained in the screening module of city is suitble to tourism
The city of quantity is set, and is successively gone to the sequence of sequence to be formed in each group of city respectively according to the most short principle of route
Multiple groups travelling route.The module carries out permutation and combination to the city that city screening module comes out, and according to the most short principle of route point
The other city to each group is successively gone to the sequence of sequence to form multiple groups travelling route.
Travelling route recommending module, according to the current year passenger flow information in each city of information collection module prediction respectively to every
The passenger flow information in one group of city integrated and go to this group of city average passenger flow information be the travelling route passenger flow information,
And the characteristics of passenger flow information corresponding to each group of travelling route and the route and each city of the group and sight spot is shown
To user.The estimated volume of the flow of passengers of each route is shown to user by the module so that user have before going tourism one it is good
Psychological preparation.
Central processing unit, for controlling and coordinating the work of each part mentioned above.
Specifically, a kind of travelling recommender system based on big data provided by the present invention, specific in use, passing through
User's recording module leads to user to the demand information of type of tour, in the identity information of the typing user of client and user
Cross information collection module obtain each city former years passenger flow information and predict the passenger flow information and use of each city current year
The physical examination at family is reported, is reported in constitution judgment module according to the physical examination of user and is obtained the constitution information of user, is obtained according to above-mentioned
Information, the tourism of user is planned, firstly, by city screening module according to user in user's recording module to tourism
The constitution information of user is screened in tourist city database in the demand information and constitution judgment module of type, obtains user
It is suitble to the city of tourism, is successively gone to the sequence shape of sequence in the city for obtaining multiple groups according to travel-line planning module
At multiple groups travelling route, finally the passenger flow information as corresponding to each group of travelling route of travelling route recommending module and the route with
And the characteristics of each city of the group and sight spot are shown to user.
Embodiment 2
The present embodiment further describes the tool of the type of tour selecting module of user's recording module sum in embodiment 1
Body implementation process, specific functional module, but it is not limited to a kind of this implementation process.
Specifically, user's recording module includes user identity recording module and type of tour selecting module.
User identity recording module identifies that the identity card of user obtains the identity information of user by identification module.It is described
Identification module includes two dimensional code identification module and picture recognition module.Current identity card has the identity card and card of electronic two-dimensional code
The identity card in kind of piece, therefore two dimensional code identification module and picture recognition module are set, wherein two dimensional code identification module is used to incite somebody to action
The two dimensional code of identity card is identified, the identity information of user is obtained, and picture recognition module is used to parse the identity of user's upload
The identity information on picture is demonstrate,proved, to obtain the identity information of user.
Type of tour selecting module passes through the demand information for the type that user input mouth makes user's typing plan travel.
In specific product, the typing that user plans the demand information for the type traveled is completed using the form of text box, further
, drop-down option frame is added in text box, user selects the demand information of the type of oneself plan tourism in Option Box.
Specifically, the information collection module includes physical examination report acquisition module and passenger flow estimation module.
Physical examination report acquisition module passes through the physical examination cloud of each physical examination mechanism and each hospital according to the identity information of user
Client database obtains the newest physical examination report of user.After the authorization by user, system is automatic according to the identity information of user
The newest physical examination report of user is obtained by the physical examination cloud database of each physical examination mechanism and each hospital.
Passenger flow estimation module obtains the passenger flow information and the policy information of current year in each city former years by internet, and
According to the passenger flow information of the passenger flow information in former years and the policy information of current year prediction current year.By the visitor for obtaining each city former years
Stream information, and counted, obtain the passenger flow information of current year.
Wherein, passenger flow estimation module, as shown in Fig. 2, the passenger flow estimation module includes:
Former years passenger flow obtains module, obtains the passenger flow information that each city sets each year in the time limit by internet.It should
Module obtains each year in each city setting time limit passenger flow information on the internet, analyzes it for subsequent.
Current year policy obtains module, obtains current year about the policy information of tourism from Tourism Bureau official website by internet.
The module is used to obtain current year about the policy information of tourism.
Passenger flow statistics module, for counting each year passenger flow information, and formation curve figure.Former years passenger flow is obtained into module
Each year passenger flow information is counted in obtained each city setting time limit, formation curve figure.
Passenger flow analysing module is moved towards, according to preliminary estimation the passenger flow of current year according to the trend of the curve graph in passenger flow statistics module
Information.The curve graph that the module obtains passenger flow statistics module is analyzed, the trend trend of judgment curves figure, thus according to song
The trend of line chart moves towards the passenger flow information of current year according to preliminary estimation.
Current year passenger flow estimation module handles passenger flow information according to preliminary estimation according to policy information to obtain the visitor of current year
Stream information.It is adjusted, is worked as according to passenger flow information of the policy information to the current year according to preliminary estimation that passenger flow analysing module obtains
The passenger flow information in year, and central processing unit is sent by the passenger flow information of current year.
Processor, for controlling and coordinating the work of each part mentioned above.
Specifically, the working principle of passenger flow estimation module is as follows:
Module, which is obtained, by former years passenger flow obtains the passenger flow information that each city sets each year in the time limit on the internet,
Module, which is obtained, by current year policy obtains current year about the policy information of tourism, by former years from Tourism Bureau official website on the internet
The passenger flow information that passenger flow obtains each year in each city setting time limit in module is counted simultaneously by passenger flow statistics module
Formation curve figure is being analyzed curve graph by passenger flow analysing module, according to the trend of curve graph trend according to preliminary estimation when
The passenger flow information in year, is finally handled passenger flow information according to preliminary estimation according to policy information in current year passenger flow estimation module
The passenger flow information of current year is obtained, finally sends central processing unit for the passenger flow information of obtained current year.
Embodiment 3
The present embodiment further describes the specific implementation process of the constitution judgment module in embodiment 1, specific function
Energy module, but it is not limited to a kind of this implementation process.
Specifically, the physical examination report that the information collection module obtains is decomposed to obtain often by the constitution judgment module
One physical examination data, and will respectively be compared the physical examination data of each with normal data, and existed according to comparison result
It is searched in physical examination database and obtains the constitution information of user, the physical examination database is for recording various physical examination data and criterion numeral
According to difference and corresponding constitution information.The module clearly describes the analytic process of the report of the physical examination to user, to user
The process and standard of constitution judgement.
In conclusion the invention discloses a kind of travelling recommender system based on big data, including user's recording module, letter
Cease collection module, weather forecast module, tourist city database, constitution judgment module, city screening module, travel-line planning
Module, travelling route recommending module and the central processing unit for controlling and coordinating each part mentioned above work.The present invention passes through
The information for collecting traveller in all its bearings in the demand and feature according to traveller and finds out suitable trip in conjunction with the characteristics of city
The city of passerby's travelling, recommends suitable route, selects for traveller, this large amount of business personnel for having saved tourist corporation
The time linked up with traveller, improve experience of the traveller before travelling.
Disclosed above is only several specific embodiments of the invention, and still, the embodiment of the present invention is not limited to this, is appointed
What what those skilled in the art can think variation should all fall into protection scope of the present invention.
Claims (5)
1. a kind of travelling recommender system based on big data, which is characterized in that including
User's recording module, by user in the typing of client, the identity information for obtaining user and user are to type of tour
Demand information；
Information collection module obtains the passenger flow information in the former years in each city by internet and predicts the visitor of each city current year
Stream information is also used to the identity information according to user in the physical examination report for obtaining user on the internet；
Weather forecast module is obtained the weather forecast in each city by internet, is updated daily；
Tourist city database, for storing the type, feature, constitution, weather and the sight spot for being not suitable for crowd in each city,
And support the calling of central processing unit；
The physical examination report that information collection module obtains is analyzed, obtains the constitution information of user by constitution judgment module；
City screening module, according to user in user's recording module to being used in the demand information and constitution judgment module of type of tour
The constitution information at family is screened in tourist city database, obtains the city that user is suitble to tourism；
Travel-line planning module determines multiple groups setting from the city that user obtained in the screening module of city is suitble to tourism
The city of quantity, and successively gone to the sequence of sequence to form multiple groups in each group of city respectively according to the most short principle of route
Travelling route；
Travelling route recommending module, according to the current year passenger flow information in each city of information collection module prediction respectively to each group
City passenger flow information integrated and go to this group of city average passenger flow information be the travelling route passenger flow information, and will
The characteristics of passenger flow information corresponding to each group of travelling route and the route and each city of the group and sight spot are shown to use
Family；
Central processing unit, for controlling and coordinating the work of each part mentioned above.
2. a kind of travelling recommender system based on big data as described in claim 1, which is characterized in that user's typing mould
Block includes
User identity recording module identifies that the identity card of user obtains the identity information of user by identification module；The identification
Module includes two dimensional code identification module and picture recognition module；
Type of tour selecting module passes through the demand information for the type that user input mouth makes user's typing plan travel.
3. a kind of travelling recommender system based on big data as described in claim 1, which is characterized in that the information collects mould
Block includes
Physical examination report acquisition module passes through the physical examination cloud number of each physical examination mechanism and each hospital according to the identity information of user
The newest physical examination report of user is obtained according to library；
Passenger flow estimation module, obtains the passenger flow information and the policy information of current year in each city former years by internet, and according to
The passenger flow information of passenger flow information and the policy information of current year the prediction current year in former years.
4. a kind of travelling recommender system based on big data as claimed in claim 3, which is characterized in that the passenger flow estimation mould
Block includes
Former years passenger flow obtains module, obtains the passenger flow information that each city sets each year in the time limit by internet；
Current year policy obtains module, obtains current year about the policy information of tourism from Tourism Bureau official website by internet；
Passenger flow statistics module, for counting each year passenger flow information, and formation curve figure；
Passenger flow analysing module is moved towards, according to preliminary estimation the passenger flow information of current year according to the trend of the curve graph in passenger flow statistics module；
Current year passenger flow estimation module is believed according to the passenger flow that policy information is handled to obtain current year to passenger flow information according to preliminary estimation
It ceases and sends central processing unit for the passenger flow information of current year；
Processor, for controlling and coordinating the work of each part mentioned above.
5. a kind of travelling recommender system based on big data as described in claim 1, which is characterized in that the constitution judges mould
Physical examination that the information collection module obtains report is decomposed to obtain the physical examination data of each by block, and by respectively will be each
The physical examination data of item are compared with normal data, and are searched in physical examination database according to comparison result and obtained the constitution of user
Information, the physical examination database is for recording various physical examination data and normal data difference and corresponding constitution information.
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| CN114065058A (en) * | 2022-01-17 | 2022-02-18 | 成都明途科技有限公司 | City recommendation method and device, electronic equipment and computer readable storage medium |
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| CN118552061B (en) * | 2024-07-29 | 2024-10-25 | 南京信息工程大学 | Travel recommendation degree calculation method based on meteorological data comfort degree perception |
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Application publication date: 20190927 |