CN111914183A - Travel plan recommendation method and device, readable storage medium and computer equipment - Google Patents
Travel plan recommendation method and device, readable storage medium and computer equipment Download PDFInfo
- Publication number
- CN111914183A CN111914183A CN202011052327.5A CN202011052327A CN111914183A CN 111914183 A CN111914183 A CN 111914183A CN 202011052327 A CN202011052327 A CN 202011052327A CN 111914183 A CN111914183 A CN 111914183A
- Authority
- CN
- China
- Prior art keywords
- sightseeing
- spot
- travel
- target
- time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 230000006870 function Effects 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 230000000638 stimulation Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A travel plan recommendation method, a travel plan recommendation device, a readable storage medium and computer equipment are provided, and the method comprises the following steps: the method comprises the steps of obtaining tourism information and member information of a user side, and determining a current recommendation index of each tourist attraction in the tourist attractions according to the member information; acquiring the sightseeing time length required by each sightseeing spot in the sightseeing spots, and determining at least one sightseeing spot combination according to the travel time, the sightseeing time length of each sightseeing spot and the current recommended index; acquiring a target sightseeing scenery spot combination selected by a user, and acquiring weather information of each target sightseeing scenery spot in the target sightseeing scenery spot combination at each moment in travel time; and formulating a tour plan according to the weather information, the tour duration and the tour duration of each target tour sight spot, and sending the tour plan to the user side. The invention combines the age and sex of the members of the tourist user and the weather information of each sightseeing spot to formulate the tourism plan suitable for the tourist, thereby improving the tourism experience of the tourist.
Description
Technical Field
The invention relates to the technical field of electronics, in particular to a travel plan recommendation method, a travel plan recommendation device, a readable storage medium and computer equipment.
Background
With the continuous improvement of living standard and the continuous richness and perfection of traffic systems, more and more people choose to travel in leisure time, and the travel becomes a part of people's life.
A tourist attraction usually includes a plurality of sightseeing sights. At present, tourists generally do not have planning property in a scenic spot, and visit the scenic spot in turn according to routes in the scenic spot, so that a lot of uninteresting scenic spots can be visited, a lot of time is wasted, and the interesting scenic spots are not visited, so that the experience of the tourists is influenced.
Moreover, whether the tourism process is smooth or not and whether the tourism experience is good or not are closely related to the weather of scenic spots, and tourists want to visit all sightseeing scenic spots under appropriate environmental conditions. The climate of a day in a general scenic spot is different in different time periods, and the climate of each sightseeing spot at the same time point may also be different, for example, the temperature and the ultraviolet intensity of the sightseeing spot in a mountain forest and the sightseeing spot on a beach at the same time point are different. Therefore, the current touring mode can not satisfy the demands of tourists, and the tourism experience degree is poor.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a travel plan recommendation method, apparatus, readable storage medium and computer device for solving the problem of poor experience of travel in the conventional tour style.
A travel plan recommendation method, comprising:
the method comprises the steps of obtaining travel information and member information of a user side, and determining a current recommendation index of each sightseeing spot in the sightseeing spots according to the member information, wherein the travel information comprises the sightseeing spots and travel time, and the member information comprises the age and the gender of a travel member;
acquiring the sightseeing time length required by each sightseeing spot in the sightseeing spots, and determining at least one sightseeing spot combination according to the travel time, the sightseeing time length of each sightseeing spot and the current recommendation index;
acquiring a target sightseeing scenery spot combination selected by a user, and acquiring weather information of each target sightseeing scenery spot in the target sightseeing scenery spot combination at each moment in the travel time, wherein the weather information comprises temperature, ultraviolet intensity and weather;
and formulating a tour plan according to the weather information, the travel time and the tour duration of each target sightseeing spot, and sending the tour plan to the user side, wherein the tour plan comprises the tour time period of each target sightseeing spot.
Further, the method for recommending a tourist plan, wherein the step of determining the current recommendation index of each tourist spot in the tourist spots according to the member information includes:
determining a target age range to which the age of the travel member belongs, and inquiring the current recommendation index of each sightseeing spot in a preset sight spot recommendation index table according to the target age range and the gender of the travel member, wherein the sight spot recommendation index table comprises a plurality of sightseeing spots, each sightseeing spot is provided with a corresponding recommendation index aiming at different personnel distribution information, and the personnel distribution information comprises an age range and a gender.
Further, the method for recommending a travel plan, wherein the step of determining at least one combination of sightseeing spots according to the travel time, the sightseeing time length of each sightseeing spot and the current recommendation index comprises:
determining effective duration in the travel time, wherein the effective duration is available for touring in the travel time;
selecting at least one sightseeing spot meeting preset conditions from the sightseeing spots to be combined to obtain at least one sightseeing spot combination, wherein the preset conditions comprise:
selecting the sightseeing spot from high to low according to the current recommended index;
and the selected total light-viewing time length of the sightseeing spot and the effective time length are smaller than threshold values.
Further, the method for recommending a travel plan, wherein the step of querying the current recommendation index of each sightseeing spot in a preset sight spot recommendation index table according to the target age range and the gender of the travel member further comprises the following steps:
performing clustering analysis on historical data of each sightseeing spot respectively to obtain at least one cluster area corresponding to each sightseeing spot;
respectively determining personnel distribution information in each cluster area corresponding to the current sightseeing spot, and determining the density of each cluster area;
carrying out standardized calculation on the intensity, and taking the calculated intensity as a recommendation index;
establishing a corresponding relation between the personnel distribution information of the current sightseeing spot and the recommendation index;
and generating a scenic spot recommendation index table according to the corresponding relation between the personnel distribution information and the recommendation index corresponding to each sightseeing scenic spot.
Further, the method for recommending a travel plan, wherein the step of formulating a travel plan according to the weather information, the travel time, and the sightseeing time of each target sightseeing spot includes:
arranging each target sightseeing scenic spot in a random arrangement mode to obtain a plurality of scenic spot arrangement modes, and determining the sightseeing time period of each target sightseeing scenic spot in each scenic spot arrangement mode according to the travel time and the sightseeing time length of each target sightseeing scenic spot to obtain a plurality of sightseeing time plans;
determining a suitable sightseeing time period in which the temperature, the ultraviolet intensity and the weather in each target sightseeing spot meet preset meteorological conditions;
determining the overlapping rate of the sightseeing time periods of the target sightseeing spots and the corresponding suitable sightseeing time periods in each sightseeing time plan;
and taking the tour time plan with the highest overlapping rate as the tour plan of the user.
Further, the method for recommending a travel plan includes:
the temperature is within a preset temperature range;
the ultraviolet intensity is within a preset intensity range;
the weather is preset weather.
The embodiment of the invention also provides a travel plan recommendation device, which comprises:
the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for acquiring the tourism information and the member information of a user side and determining the current recommendation index of each tourist spot in the tourist spots according to the member information, the tourism information comprises the tourist spots and the travel time, and the member information comprises the age and the gender of a tourist member;
the second determination module is used for acquiring the sightseeing time length required by each sightseeing spot in the sightseeing spots, and determining at least one sightseeing spot combination according to the travel time, the sightseeing time length of each sightseeing spot and the current recommended index;
the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring a target sightseeing scenery spot combination selected by a user and acquiring meteorological information of each target sightseeing scenery spot in the target sightseeing scenery spot combination at each moment in the travel time, and the meteorological information comprises temperature, ultraviolet intensity and weather;
and the plan making module is used for making a tourism plan according to the weather information, the sightseeing time length and the sightseeing time length of each target sightseeing spot, and sending the tourism plan to the user side, wherein the tourism plan comprises the sightseeing time period of each target sightseeing spot.
Further, the above-mentioned travel plan recommendation device, wherein the step of determining the current recommendation index of each of the sightseeing spots according to the member information includes:
determining a target age range to which the age of the travel member belongs, and inquiring the current recommendation index of each sightseeing spot in a preset sight spot recommendation index table according to the target age range and the gender of the travel member, wherein the sight spot recommendation index table comprises a plurality of sightseeing spots, each sightseeing spot is provided with a corresponding recommendation index aiming at different personnel distribution information, and the personnel distribution information comprises an age range and a gender.
An embodiment of the present invention further provides a readable storage medium, on which a program is stored, where the program, when executed by a processor, implements any of the methods described above.
An embodiment of the present invention further provides a computer device, including a memory and a processor, where the memory stores a program, and the program implements any one of the above methods when executed by the processor.
In the embodiment of the invention, the recommendation index of each sightseeing spot is determined according to the age and the gender of each travel member, and at least one sightseeing spot combination is determined according to the travel time of the user, the sightseeing time of each sightseeing spot and the recommendation index of the sightseeing spot. When a user selects a target sightseeing scenery spot combination, acquiring weather information of each target sightseeing scenery spot in the target sightseeing scenery spot combination at each moment in the travel time, making a tour plan according to the weather information, the sightseeing time length and the sightseeing time length of each target sightseeing scenery spot, and sending the tour plan to the user side. According to the embodiment, the recommendation index of each sightseeing spot is determined according to the age and the gender of the member of the tourist user, and the tourism plan suitable for the tourist is formulated based on the recommendation index and the weather information of each sightseeing spot, so that the tourism experience of the tourist is improved.
Drawings
FIG. 1 is a flow chart of a travel plan recommendation method in a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for determining a combination of sightseeing spots according to a first embodiment of the present invention;
FIG. 3 is a flow chart of a travel plan recommendation method in a second embodiment of the present invention;
FIG. 4 is a schematic illustration of an age segment and a cluster area of historical visitors in accordance with an embodiment of the present invention;
FIG. 5 is a flow chart of a travel plan recommender in accordance with a third embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
These and other aspects of embodiments of the invention will be apparent with reference to the following description and attached drawings. In the description and drawings, particular embodiments of the invention have been disclosed in detail as being indicative of some of the ways in which the principles of the embodiments of the invention may be practiced, but it is understood that the scope of the embodiments of the invention is not limited correspondingly. On the contrary, the embodiments of the invention include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
Referring to fig. 1, a method for recommending a travel plan according to a first embodiment of the present invention includes steps S11-S14.
Step S11, obtaining travel information and member information of a user terminal, and determining the current recommendation index of each sight spot in the sight spots according to the member information, wherein the travel information comprises the sight spots and the travel time, and the member information comprises the ages and the sexes of the travel members.
The user terminal is, for example, a mobile terminal such as a mobile phone of a visitor, a tablet computer, and the like. The tourist selects the scenic spot of the tour and obtains a tour plan through an Application (APP) installed on the mobile terminal. The user side APP provides an information input interface for a user to fill in travel information and member information. This tourist information includes tourist attraction and tourist time, and during the concrete implementation, the APP of user side is provided with the option interface on the interface, and the user can select a tourist area and a tourist attraction under this area. The member information at least comprises the name, age and gender of each travel member, and can be input through an APP input interface of the user terminal.
In the above step, the step of determining the current recommendation index of each of the sightseeing spots according to the member information includes:
determining a target age range to which the age of the travel member belongs, and inquiring the current recommendation index of each sightseeing spot in a preset sight spot recommendation index table according to the target age range and the gender of the travel member, wherein the sight spot recommendation index table comprises a plurality of sightseeing spots, each sightseeing spot is provided with a corresponding recommendation index aiming at different personnel distribution information, and the personnel distribution information comprises an age range and a gender.
People of different age groups and genders have great difference in hobbies, and the favorite sightseeing spots are generally different, for example, people under 15 years old like sightseeing spots with interest, people of older age like sightseeing spots with beautiful and calm scenery and without excessive sports, young men like sightseeing spots with stimulation and thrilling elements, and young women like sightseeing spots with romantic elements.
Therefore, the sight spot recommendation index table in this embodiment stores recommendation indexes corresponding to different age ranges and genders for each sightseeing spot, and the sight spot recommendation index table is shown in table 1 (only part of sightseeing spots and person distribution information are shown).
TABLE 1
| Sightseeing spot | People distribution information | Index of recommendation |
| A1 | Male of 3-12 years old | 8.5 |
| A1 | Female aged 3-12 years old | 8 |
| A1 | Male of 25-35 years old | 2 |
| A1 | 25-35 years old female | 3.5 |
| A2 | Male of 3-12 years old | 2 |
| A2 | Female aged 3-12 years old | 2 |
| A2 | Male of 25-35 years old | 4 |
| A2 | 25-35 years old female | 4 |
| A3 | Male of 3-12 years old | 7 |
| A3 | Female aged 3-12 years old | 6.5 |
| A3 | Male of 25-35 years old | 8 |
| A3 | 25-35 years old female | 8 |
| A4 | Male of 3-12 years old | 4 |
| A4 | Female aged 3-12 years old | 4 |
| A4 | Male of 25-35 years old | 9 |
| A4 | 25-35 years old female | 8 |
And inquiring corresponding personnel distribution information in the scenic spot recommendation index table according to the member information of the user side. For example, the member information includes information of three travel members, i.e., 9 years old, male; 7 years old, female; female, age 35. Then, the scenic spot recommendation index table is queried to obtain current recommendation indexes corresponding to the three pieces of personnel distribution information in the a1 sightseeing spot, which are respectively 8.5, 8 and 3.5, current recommendation indexes corresponding to the three pieces of personnel distribution information in the a2 sightseeing spot, which are respectively 2, 2 and 4, current recommendation indexes corresponding to the three pieces of personnel distribution information in the A3 sightseeing spot, which are respectively 7, 6.5 and 8, and current recommendation indexes corresponding to the three pieces of personnel distribution information in the a4 sightseeing spot, which are respectively 4, 4 and 8.
Step S12, acquiring the sightseeing time length needed by each sightseeing spot in the sightseeing spot, and determining an index sightseeing spot combination according to the travel time, the sightseeing time length of each sightseeing spot and the current recommended index.
Generally, a tourist attraction has a large floor area, and often includes a plurality of tourist attractions, and as many as ten tourist attractions are installed at tourist attractions of a common size. And each sightseeing spot is provided with corresponding sightseeing time, and the sightseeing time is an average value obtained according to data statistics. That is, the stay time of a large number of tourists at each sightseeing spot is counted, and after an abnormal value (such as a value with too small or too large stay time) is deleted, average value calculation is carried out to reach the sightseeing time corresponding to each sightseeing spot.
In this embodiment, the combination of the sightseeing spots is determined according to the travel time, the sightseeing time length of each sightseeing spot, and the current recommendation index. As shown in fig. 2, the specific steps are as follows:
step S01, determining the effective duration in the travel time, wherein the effective duration is the duration available for touring in the travel time;
step S02, selecting at least one sightseeing spot meeting preset conditions from the sightseeing spots to be combined to obtain at least one sightseeing spot combination, wherein the preset conditions comprise:
selecting the sightseeing spot from high to low according to the current recommended index;
and the selected total light-viewing time length of the sightseeing spot and the effective time length are smaller than threshold values.
And combining the sightseeing spots according to preset conditions to obtain a plurality of sightseeing spot combinations for selection. The effective duration is the duration that the user can use for a visit, i.e. the time remaining after the normal eating and rest time has been removed. The threshold may be set according to the actual situation of the attraction, for example, it may be 1/3 of the effective duration of the user, or a fixed value. In this embodiment, the threshold may be set to a fixed 5 h.
And each sightseeing spot is provided with corresponding sightseeing time length, and the sightseeing time length is according to the average sightseeing time length required by each sightseeing spot in the statistical historical data. For example, the sightseeing time lengths of sightseeing spots A1-A4 are 4h, 3h and 6h respectively. The effective duration of the user is 10h, and the combination of sightseeing spots meeting the preset conditions in the spot can be as follows:
sightseeing spot combination 1, A1, A4;
sightseeing spot combination 2, A4;
sightseeing spot combination 3, A3, A4.
It will be appreciated that in another embodiment of the invention, the number of combinations of sightseeing spots may be set to an upper limit value, for example to three, i.e. a maximum of three sets of sightseeing spots are provided for user selection.
Step S13, obtaining a target sightseeing spot combination selected by a user, and obtaining weather information of each target sightseeing spot in the target sightseeing spot combination at each moment in the travel time, wherein the weather information comprises temperature, ultraviolet intensity and weather.
Step S14, a tourism plan is formulated according to the weather information, the travel time and the sightseeing time of each target sightseeing spot, and the tourism plan is sent to the user side, wherein the tourism plan comprises the sightseeing time period of each target sightseeing spot.
Different moments of the same sightseeing spot generally have different weather information, and different sightseeing spots may have different weather information at the same moment. For example, the air temperature and the solar radiation intensity of sightseeing spots in mountain forests and sightseeing spots on sand beach at the same time point are different. Therefore, when the target sightseeing spot combination selected by the user is obtained, the weather information of each target sightseeing spot in the target sightseeing spot combination at each moment in the travel time is inquired. And determining a suitable sightseeing time period of each target sightseeing spot according to the weather information, for example, selecting to travel in hot summer with lower temperature in the morning to arrange sightseeing spots on a beach, and setting to arrange sightseeing spots in a mountain forest with higher temperature in the afternoon.
And forming a tour plan to be sent to the user side according to the determined target sightseeing scenic spots and the sightseeing time period of each target sightseeing scenic spot. The travel plan may be presented in the form of a chart. In particular implementations, the tour plan may also include vehicles between two target sightseeing spots.
In this embodiment, the recommendation index of each sightseeing spot is determined according to the age and gender of each travel member, and at least one sightseeing spot combination is determined according to the user travel time, the sightseeing time length of each sightseeing spot and the recommendation index of the sightseeing spot. When a user selects a target sightseeing scenery spot combination, acquiring weather information of each target sightseeing scenery spot in the target sightseeing scenery spot combination at each moment in the travel time, making a tour plan according to the weather information, the travel time and the sightseeing time of each target sightseeing scenery spot, and sending the tour plan to the user side. According to the embodiment, the recommendation index of each sightseeing spot is determined according to the age and the gender of the member of the tourist user, and the tourism plan suitable for the tourist is formulated based on the recommendation index and the weather information of each sightseeing spot, so that the tourism experience of the tourist is improved.
Referring to FIG. 3, a method for recommending a travel plan according to a second embodiment of the present invention includes steps S21-S28.
Step S21, obtaining travel information and member information of the user terminal, wherein the travel information comprises tourist attractions and travel time, and the member information comprises the age and gender of the travel members.
Step S22, determining a target age range to which the age of the travel member belongs, and inquiring the current recommendation index of each sightseeing sight spot in a preset sight spot recommendation index table according to the target age range and the gender of the travel member. The scenic spot recommendation index table comprises a plurality of sightseeing spots, each sightseeing spot is provided with a corresponding recommendation index according to different personnel distribution information, and the personnel distribution information comprises an age range and a gender.
Further, before the step of inquiring the current recommendation index of each sightseeing spot in a preset sightseeing spot recommendation index table according to the target age range and the gender of the travel member, the characteristics of the tourists of each sightseeing spot can be analyzed according to historical tourism data to obtain the recommendation index of each sightseeing spot for the tourists of each age group and different genders, so that the sightseeing spot recommendation index table is formed.
The historical travel data includes personal information including age and gender of each historical visitor at each sightseeing spot. The step of generating the sight spot recommendation index table comprises the following steps:
performing clustering analysis on historical data of each sightseeing spot respectively to obtain at least one cluster area corresponding to each sightseeing spot;
respectively determining personnel distribution information in each cluster area corresponding to the current sightseeing spot, and determining the intensity of each cluster area, wherein the personnel distribution information comprises an age range and a gender;
carrying out standardized calculation on the intensity, and taking the calculated intensity as a recommendation index;
establishing a corresponding relation between the personnel distribution information of the current sightseeing spot and the recommendation index;
and generating a scenic spot recommendation index table according to the corresponding relation between the personnel distribution information and the recommendation index corresponding to each sightseeing scenic spot.
In specific implementation, the acquired personnel information of each historical visitor is divided into two groups of data objects according to gender, namely male and female, and the data objects with similar age distances are respectively clustered according to age, so that a plurality of clustering areas are obtained. And determining the personnel distribution information of each cluster area, namely counting the age range and the gender of the historical tourists in each cluster area. As shown in fig. 4, the cluster regions are distributed on a line representing the age, and the age interval corresponding to each length unit on the line can be set according to actual needs. And calculating the density c of the corresponding cluster area according to the historical number of the tourists in each cluster area and the length of the cluster area, namely calculating the formula as follows:
where N is the number of historical visitors in the cluster area and L is the length of the cluster area.
Generally, the recommended index is a value in the range of 0 to 10, and the data range of the density of each cluster area is wide and is not suitable for being used as the recommended index, so that the calculated density can be subjected to standard calculation, namely, the data is scaled to fall into a small specific interval. In specific implementation, the intensity of each cluster region in the current sightseeing spot may be divided by the maximum intensity, and then multiplied by the upper limit value (e.g., 10) of the recommendation index, so as to obtain the corresponding recommendation index m by calculation, where the calculation formula is as follows:
where c is the concentration of the current cluster region, cmaxIs the maximum intensity.
Step S23, acquiring the sightseeing time length needed by each sightseeing spot in the sightseeing spot, and determining at least one sightseeing spot combination according to the travel time, the sightseeing time length of each sightseeing spot and the current recommended index.
Step S24, obtaining a target sightseeing spot combination selected by a user, and obtaining weather information of each target sightseeing spot in the target sightseeing spot combination at each moment in the travel time, wherein the weather information comprises temperature, ultraviolet intensity and weather.
And step S25, arranging each target sightseeing spot in a random arrangement mode to obtain a plurality of arrangement modes of the spots, and determining the sightseeing time period of the target sightseeing spot in each arrangement mode of the spots according to the travel time and the sightseeing time length of each target sightseeing spot to obtain a plurality of sightseeing time plans.
Each target sightseeing scenery spot in the target sightseeing scenery spot combination is randomly ordered, namely the sequence of visiting is randomly determined, so that various scenery spot arrangement modes are obtained. And determining the sightseeing time period of each target sightseeing spot in each arrangement mode of the sightseeing spots according to the travel time of the user and the sightseeing time length of each target sightseeing spot, thereby obtaining a plurality of sightseeing time plans. The sightseeing time plan, the sightseeing sequence and the sightseeing time period of each target sightseeing spot.
And step S26, determining a suitable sightseeing time period in which the temperature, the ultraviolet intensity and the weather in each target sightseeing spot meet preset meteorological conditions.
The specific preset meteorological conditions comprise:
the temperature is within a preset temperature range;
the ultraviolet intensity is within a preset intensity range;
the weather is preset weather.
The preset temperature range is a range in which a user feels comfortable, such as 20-30 ℃, and the preset intensity range is a range in which the user has low harm to the skin. The preset weather is, for example, sunny or cloudy.
Step S27, determining an overlapping rate of the sightseeing time periods of the target sightseeing spots and the corresponding suitable sightseeing time periods in each sightseeing time plan.
And step S28, taking the tour time plan with the highest overlapping rate as the tour plan of the user, and sending the tour plan to the user side.
And determining the overlapping rate of the sightseeing time section of each target sightseeing spot and the corresponding suitable sightseeing time section in each sightseeing time plan. And using the sightseeing time plan with the highest overlapping rate as the tourism plan of the user
Referring to fig. 5, a travel plan recommendation device according to a third embodiment of the present invention includes:
the first determining module 10 is configured to obtain travel information and member information of a user side, and determine a current recommendation index of each of the sightseeing spots according to the member information, where the travel information includes the sightseeing spots and travel time, and the member information includes ages and genders of travel members;
the second determining module 20 is configured to obtain a required sightseeing time length of each sightseeing spot in the sightseeing spots, and determine at least one sightseeing spot combination according to the travel time, the sightseeing time length of each sightseeing spot and the current recommended index;
the acquisition module 30 is configured to acquire a target sightseeing spot combination selected by a user, and acquire weather information of each target sightseeing spot in the target sightseeing spot combination at each time within the travel time, where the weather information includes temperature, ultraviolet intensity, and weather;
and the plan making module 40 is used for making a tour plan according to the weather information, the travel time and the sightseeing time of each target sightseeing spot, and sending the tour plan to the user side, wherein the tour plan comprises the sightseeing time period of each target sightseeing spot.
Further, the above-mentioned travel plan recommendation device, wherein the step of determining the current recommendation index of each of the sightseeing spots according to the member information includes:
determining a target age range to which the age of the travel member belongs, and inquiring the current recommendation index of each sightseeing spot in a preset sight spot recommendation index table according to the target age range and the gender of the travel member, wherein the sight spot recommendation index table comprises a plurality of sightseeing spots, each sightseeing spot is provided with a corresponding recommendation index aiming at different personnel distribution information, and the personnel distribution information comprises an age range and a gender.
The travel plan recommendation device provided by the embodiment of the invention has the same implementation principle and technical effect as the method embodiment, and for brief description, the corresponding content in the method embodiment can be referred to where the device embodiment is not mentioned.
An embodiment of the present invention further provides a readable storage medium, on which a program is stored, where the program, when executed by a processor, implements any of the methods described above.
An embodiment of the present invention further provides a computer device, including a memory and a processor, where the memory stores a program, and the program implements any one of the above methods when executed by the processor.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A travel plan recommendation method, comprising:
the method comprises the steps of obtaining travel information and member information of a user side, and determining a current recommendation index of each sightseeing spot in the sightseeing spots according to the member information, wherein the travel information comprises the sightseeing spots and travel time, and the member information comprises the age and the gender of a travel member;
acquiring the sightseeing time length required by each sightseeing spot in the sightseeing spots, and determining at least one sightseeing spot combination according to the travel time, the sightseeing time length of each sightseeing spot and the current recommendation index;
acquiring a target sightseeing scenery spot combination selected by a user, and acquiring weather information of each target sightseeing scenery spot in the target sightseeing scenery spot combination at each moment in the travel time, wherein the weather information comprises temperature, ultraviolet intensity and weather;
and formulating a tour plan according to the weather information, the travel time and the tour duration of each target sightseeing spot, and sending the tour plan to the user side, wherein the tour plan comprises the tour time period of each target sightseeing spot.
2. The travel plan recommendation method of claim 1 wherein said step of determining a current recommendation index for each of said tourist attractions based on said member information comprises:
determining a target age range to which the age of the travel member belongs, and inquiring the current recommendation index of each sightseeing spot in a preset sight spot recommendation index table according to the target age range and the gender of the travel member, wherein the sight spot recommendation index table comprises a plurality of sightseeing spots, each sightseeing spot is provided with a corresponding recommendation index aiming at different personnel distribution information, and the personnel distribution information comprises an age range and a gender.
3. The travel plan recommendation method of claim 2 wherein said step of determining at least one sightseeing spot combination based on said travel time and the length of time each said sightseeing spot has been traversed and the current recommendation index comprises:
determining effective duration in the travel time, wherein the effective duration is available for touring in the travel time;
selecting at least one sightseeing spot meeting preset conditions from the sightseeing spots to be combined to obtain at least one sightseeing spot combination, wherein the preset conditions comprise:
selecting the sightseeing spot from high to low according to the current recommended index;
and the selected total light-viewing time length of the sightseeing spot and the effective time length are smaller than threshold values.
4. The method of claim 2 wherein the step of querying a table of preset sight-seeing recommendation indices for each of the sight-seeing sightseeing:
performing clustering analysis on historical data of each sightseeing spot respectively to obtain at least one cluster area corresponding to each sightseeing spot;
respectively determining personnel distribution information in each cluster area corresponding to the current sightseeing spot, and determining the density of each cluster area;
carrying out standardized calculation on the intensity, and taking the calculated intensity as a recommendation index;
establishing a corresponding relation between the personnel distribution information of the current sightseeing spot and the recommendation index;
and generating a scenic spot recommendation index table according to the corresponding relation between the personnel distribution information and the recommendation index corresponding to each sightseeing scenic spot.
5. The method of claim 1, wherein the step of generating a travel plan based on the weather information, the travel time, and the length of the sightseeing time of each of the target sightseeing spots comprises:
arranging each target sightseeing scenic spot in a random arrangement mode to obtain a plurality of scenic spot arrangement modes, and determining the sightseeing time period of each target sightseeing scenic spot in each scenic spot arrangement mode according to the travel time and the sightseeing time length of each target sightseeing scenic spot to obtain a plurality of sightseeing time plans;
determining a suitable sightseeing time period in which the temperature, the ultraviolet intensity and the weather in each target sightseeing spot meet preset meteorological conditions;
determining the overlapping rate of the sightseeing time periods of the target sightseeing spots and the corresponding suitable sightseeing time periods in each sightseeing time plan;
and taking the tour time plan with the highest overlapping rate as the tour plan of the user.
6. The travel plan recommendation method of claim 5, wherein the preset weather conditions include:
the temperature is within a preset temperature range;
the ultraviolet intensity is within a preset intensity range;
the weather is preset weather.
7. A travel plan recommendation device, comprising:
the system comprises a first determining module, a second determining module and a third determining module, wherein the first determining module is used for acquiring the tourism information and the member information of a user side and determining the current recommendation index of each tourist spot in the tourist spots according to the member information, the tourism information comprises the tourist spots and the travel time, and the member information comprises the age and the gender of a tourist member;
the second determination module is used for acquiring the sightseeing time length required by each sightseeing spot in the sightseeing spots, and determining at least one sightseeing spot combination according to the travel time, the sightseeing time length of each sightseeing spot and the current recommended index;
the system comprises an acquisition module, a processing module and a control module, wherein the acquisition module is used for acquiring a target sightseeing scenery spot combination selected by a user and acquiring meteorological information of each target sightseeing scenery spot in the target sightseeing scenery spot combination at each moment in the travel time, and the meteorological information comprises temperature, ultraviolet intensity and weather;
and the plan making module is used for making a tourism plan according to the weather information, the sightseeing time length and the sightseeing time length of each target sightseeing spot, and sending the tourism plan to the user side, wherein the tourism plan comprises the sightseeing time period of each target sightseeing spot.
8. The travel plan recommender according to claim 7, wherein said step of determining a current recommendation index for each of the sightseeing spots based on the member information comprises:
determining a target age range to which the age of the travel member belongs, and inquiring the current recommendation index of each sightseeing spot in a preset sight spot recommendation index table according to the target age range and the gender of the travel member, wherein the sight spot recommendation index table comprises a plurality of sightseeing spots, each sightseeing spot is provided with a corresponding recommendation index aiming at different personnel distribution information, and the personnel distribution information comprises an age range and a gender.
9. A readable storage medium on which a program is stored, which program, when executed by a processor, carries out the method according to any one of claims 1-6.
10. A computer device comprising a memory and a processor, the memory storing a program that, when executed by the processor, implements the method of any of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011052327.5A CN111914183A (en) | 2020-09-29 | 2020-09-29 | Travel plan recommendation method and device, readable storage medium and computer equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011052327.5A CN111914183A (en) | 2020-09-29 | 2020-09-29 | Travel plan recommendation method and device, readable storage medium and computer equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111914183A true CN111914183A (en) | 2020-11-10 |
Family
ID=73265365
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011052327.5A Pending CN111914183A (en) | 2020-09-29 | 2020-09-29 | Travel plan recommendation method and device, readable storage medium and computer equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111914183A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101210822A (en) * | 2006-12-29 | 2008-07-02 | 佛山市顺德区顺达电脑厂有限公司 | Path planning method |
| US20170023370A1 (en) * | 2015-07-24 | 2017-01-26 | International Business Machines Corporation | Journey Planning |
| US20170345108A1 (en) * | 2016-05-27 | 2017-11-30 | Mastercard International Incorporated | Method for recommending a vacation option |
| CN107679254A (en) * | 2017-11-15 | 2018-02-09 | 夏烬楚 | Tour schedule device for planning based on weather monitoring |
| CN110297964A (en) * | 2019-03-28 | 2019-10-01 | 特斯联（北京）科技有限公司 | A kind of tourist attractions recommended method and device based on big data analysis |
| CN110321489A (en) * | 2019-07-11 | 2019-10-11 | 重庆邮电大学 | A kind of smart travel recommended method and system based on improvement proposed algorithm |
| CN110765361A (en) * | 2019-12-30 | 2020-02-07 | 恒大智慧科技有限公司 | Scenic spot recommendation method and device based on user information and storage medium |
| CN111191150A (en) * | 2019-12-03 | 2020-05-22 | 恒大智慧科技有限公司 | Tour route recommendation method and device and storage medium |
-
2020
- 2020-09-29 CN CN202011052327.5A patent/CN111914183A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101210822A (en) * | 2006-12-29 | 2008-07-02 | 佛山市顺德区顺达电脑厂有限公司 | Path planning method |
| US20170023370A1 (en) * | 2015-07-24 | 2017-01-26 | International Business Machines Corporation | Journey Planning |
| US20170345108A1 (en) * | 2016-05-27 | 2017-11-30 | Mastercard International Incorporated | Method for recommending a vacation option |
| CN107679254A (en) * | 2017-11-15 | 2018-02-09 | 夏烬楚 | Tour schedule device for planning based on weather monitoring |
| CN110297964A (en) * | 2019-03-28 | 2019-10-01 | 特斯联（北京）科技有限公司 | A kind of tourist attractions recommended method and device based on big data analysis |
| CN110321489A (en) * | 2019-07-11 | 2019-10-11 | 重庆邮电大学 | A kind of smart travel recommended method and system based on improvement proposed algorithm |
| CN111191150A (en) * | 2019-12-03 | 2020-05-22 | 恒大智慧科技有限公司 | Tour route recommendation method and device and storage medium |
| CN110765361A (en) * | 2019-12-30 | 2020-02-07 | 恒大智慧科技有限公司 | Scenic spot recommendation method and device based on user information and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103996068B (en) | Statistical method and device for passenger flow distribution | |
| LeClere et al. | Family migration and changes in women's earnings: a decomposition analysis | |
| CN109033325A (en) | Tourism terminal system and its application method based on face recognition technology | |
| KR20160029330A (en) | System and method for recommending travel destination based on user characteristics and tourist destination characteristics | |
| CN113343127B (en) | Tourism route recommendation method, system, server and storage medium | |
| KR102301086B1 (en) | Travel route recommendation system on big data and travel route recommendation method | |
| CN110297964A (en) | A kind of tourist attractions recommended method and device based on big data analysis | |
| CN112529317B (en) | Satellite imaging task planning method and device, electronic equipment and storage medium | |
| CN106291764A (en) | Based on big data and the method for meteorological forecast of meteorologic analysis field and system | |
| CN111523748A (en) | Case distribution method, device and system | |
| CN106021240B (en) | Foreign language sentence and the automatic identifying method of corresponding scene are commonly used in a kind of travelling | |
| CN112417204A (en) | Music recommendation system based on real-time road conditions | |
| US20220299334A1 (en) | Recommendation information providing method and recommendation information providing system | |
| CN111914183A (en) | Travel plan recommendation method and device, readable storage medium and computer equipment | |
| DE112013006998B4 (en) | Evaluation Information Deposit Device and Evaluation Information Deposit Method | |
| CN112287241B (en) | Travel recommendation method and system | |
| US20140318989A1 (en) | System and method for monitoring and oxygenating an automobile cabin | |
| CN108921214A (en) | Acquisition methods, device and the computer readable storage medium of City attribution | |
| CN113077102A (en) | Landscape route optimization method | |
| CN110838077A (en) | Scenic spot-based touring management method | |
| CN106373046A (en) | Travel resource recommending method based on user expectations | |
| CN113532453A (en) | Movement route recommendation method, device and medium | |
| CN113919976A (en) | Scenic spot recommendation method and device, computer equipment and storage medium | |
| JP7230599B2 (en) | VEHICLE DEVICE, SYSTEM, CONTROL METHOD, AND PROGRAM | |
| Daubitz et al. | Integrated charging infrastructure: cognitive interviews to identify preferences in charging options |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201110 |
|
| RJ01 | Rejection of invention patent application after publication |