CN112148978A - Internet-based amusement park project recommendation method and system - Google Patents
Internet-based amusement park project recommendation method and system Download PDFInfo
- Publication number
- CN112148978A CN112148978A CN202011014142.5A CN202011014142A CN112148978A CN 112148978 A CN112148978 A CN 112148978A CN 202011014142 A CN202011014142 A CN 202011014142A CN 112148978 A CN112148978 A CN 112148978A
- Authority
- CN
- China
- Prior art keywords
- information
- user
- obtaining
- item
- play
- 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.)
- Withdrawn
Links
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
Abstract
The invention discloses an internet-based amusement park project recommendation method and system, which are applied to an amusement park system, wherein the amusement park system is in communication connection with a first camera and a first electronic device, and the method comprises the following steps: obtaining first position information of a first user through the first camera; obtaining, by the first electronic device, predetermined play duration information of the first user; obtaining interest and hobby information of the first user; inputting the preset playing duration information and the interest information into a training model to obtain output information of the training model, wherein the output information comprises recommended playing item information; generating a first play route map according to the first location information and the recommended play item information; transmitting the first play route map to the first electronic device. The technical problem that an amusement park in the prior art cannot accurately recommend suitable amusement projects for tourists according to the hobbies of the tourists and the real-time situation of a field is solved.
Description
Technical Field
The invention relates to the field of amusement park project recommendation, in particular to an internet-based amusement park project recommendation method and system.
Background
An amusement park is a comprehensive entertainment place, and is an entertainment holy land which relieves people from busy work.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
the technical problem that an amusement park can not accurately recommend suitable amusement items and amusement routes for tourists according to the hobbies of the tourists and the real-time situation of a field exists in the prior art.
Disclosure of Invention
The embodiment of the application provides the internet-based amusement park project recommendation method and system, solves the technical problem that in the prior art, an amusement park can not accurately recommend suitable amusement projects for tourists according to the hobbies and the real-time field situation of the tourists, and achieves the technical effects of recommending the suitable amusement projects for the tourists according to the hobbies and interests of the tourists, planning the suitable amusement routes and providing the suitable amusement routes for the tourists.
In view of the foregoing problems, embodiments of the present application provide an internet-based amusement park item recommendation method and system.
In a first aspect, an embodiment of the present application provides an internet-based amusement park project recommendation method, which is applied to an amusement park system, where the amusement park system is in communication connection with a first camera and a first electronic device, and the method includes: obtaining first position information of a first user through the first camera; obtaining, by the first electronic device, predetermined play duration information of the first user; obtaining interest and hobby information of the first user; inputting the preset playing time information and the interest information into a training model, wherein the training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the preset playing time information, the interest information and the like and the identification information for identifying playing items; obtaining output information of the training model, wherein the output information comprises recommended play item information; generating a first play route map according to the first location information and the recommended play item information; transmitting the first play route map to the first electronic device.
In another aspect, the present application further provides an internet-based amusement park item recommendation system, where the system includes: a first obtaining unit, configured to obtain first location information of a first user through the first camera; a second obtaining unit, configured to obtain, by the first electronic device, predetermined play duration information of the first user; a third obtaining unit, configured to obtain interest information of the first user; a first input unit, configured to input the predetermined playing time information and the interest information into a training model, where the training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data includes: the preset playing time information, the interest information and the like and the identification information for identifying playing items; a fourth obtaining unit configured to obtain output information of the training model, the output information including recommended play item information; a first generation unit for generating a first play route map based on the first location information and the recommended play item information; a first transmission unit for transmitting the first play route map to the first electronic device.
In a third aspect, the present invention provides an internet-based amusement park item recommendation system, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
due to the fact that the preset playing time information of the first user and the interest information of the first user are obtained according to the electronic equipment, the preset playing time and the interest information are input into the training model, the playing item information recommended to the first user through the training model is more accurate based on the characteristic that the training model continuously corrects and adjusts the playing item information, a first playing route map is generated according to the current position of the first user, and therefore the technical effects that the proper playing item is recommended to the visitor according to the interest of the visitor, the proper playing route is planned and provided for the visitor are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
Fig. 1 is a schematic flowchart of an internet-based amusement park project recommendation method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an internet-based amusement park project recommendation system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a first input unit 14, a fourth obtaining unit 15, a first generating unit 16, a first transmitting unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the application provides the internet-based amusement park project recommendation method and system, solves the technical problem that in the prior art, an amusement park can not accurately recommend suitable amusement projects for tourists according to the hobbies and the real-time field situation of the tourists, and achieves the technical effects of recommending the suitable amusement projects for the tourists according to the hobbies and interests of the tourists, planning the suitable amusement routes and providing the suitable amusement routes for the tourists. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
An amusement park is a comprehensive entertainment place and is an entertainment holy land which relieves people from busy work, but the technical problem that the amusement park in the prior art cannot recommend proper amusement items and amusement routes to tourists according to the hobbies and the real-time situation of the sites of the tourists accurately exists.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides an amusement park project recommendation method based on the Internet, which is applied to an amusement park system, wherein the amusement park system is in communication connection with a first camera and a first electronic device, and the method comprises the following steps: obtaining first position information of a first user through the first camera; obtaining, by the first electronic device, predetermined play duration information of the first user; obtaining interest and hobby information of the first user; inputting the preset playing time information and the interest information into a training model, wherein the training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the preset playing time information, the interest information and the like and the identification information for identifying playing items; obtaining output information of the training model, wherein the output information comprises recommended play item information; generating a first play route map according to the first location information and the recommended play item information; transmitting the first play route map to the first electronic device.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides an internet-based amusement park item recommendation method, which is applied to an amusement park system, where the amusement park system is communicatively connected to a first camera and a first electronic device, and the method includes:
step S100: obtaining first position information of a first user through the first camera;
specifically, the first camera is an electronic device with an imaging function, the electronic device can obtain clear position information of the first user, the first position is current position information of the first user, and a foundation is tamped for subsequently recommending a proper playing route to the first user according to the current position through obtaining the current position of the first user.
Step S200: obtaining, by the first electronic device, predetermined play duration information of the first user;
specifically, the first electronic device is an electronic device of the first user, which is in communication connection with an amusement park system and has an information interaction capability, and may be, but is not limited to, a mobile phone, and the predetermined playing time information of the first user is obtained by sending research information to the first electronic device of the first user through the amusement park system.
Step S300: obtaining interest and hobby information of the first user;
specifically, the hobbies refer to attitudes and tendencies of individuals to approach, explore and engage in certain things and activities, and are one expression form of personal tendencies. And judging the personality of the first user through the acquisition of the interests and hobbies of the first user, and customizing the playing items suitable for the first user according to the personality.
Step S400: inputting the preset playing time information and the interest information into a training model, wherein the training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the preset playing time information, the interest information and the like and the identification information for identifying playing items;
specifically, the predetermined playing time information and the interest information are input into a training model, which is a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely connecting a large number of simple processing units (called neurons), reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. Training based on a large amount of training data, wherein each set of training data of the training data comprises: the method comprises the steps that playing duration information, interest information and identification information for identifying playing items are preset, the neural network model is continuously self-corrected and adjusted, and when the output information of the neural network model reaches a preset accuracy rate/reaches a convergence state, the supervised learning process is finished. Through data training of the neural network model, the neural network model can process the input data more accurately, and the output playing item information is more suitable for the first user. Obtaining output information of the training model, wherein the output result comprises play item information recommended to the first user. And processing more accurate data based on the characteristic that the training model is trained, and providing accurate and appropriate technical effects of playing the project for the first user.
Step S500: obtaining output information of the training model, wherein the output information comprises recommended play item information;
step S600: generating a first play route map according to the first location information and the recommended play item information;
specifically, the output information of the training model includes play item recommendation information recommended to the first user, play route planning is performed according to the play item recommendation information and the real-time position information of the first user, a first play route map is generated according to the play route planning, and a technical effect of providing a real-time and appropriate play route for the first user is achieved by obtaining the real-time position of the first user.
Step S700: transmitting the first play route map to the first electronic device.
Specifically, the real-time planned first play route map is sent to the electronic device of the first user, and the first user is recommended to play according to the first play route map.
Further, the obtaining output information of the training model, where the output information includes information of recommended play items, step S500 in this embodiment of the present application further includes:
step S510: obtaining first budget information of the first user;
step S520: generating a first adjusting parameter according to the first budget information;
step S530: and adjusting the recommended playing item information according to the first adjusting parameter.
Specifically, in order to ensure that the recommended playing item is more suitable for the first user to obtain first budget information of the first user through the first electronic device, where the first budget is pre-set expected cost information of the first user for the current amusement park trip, a first adjustment parameter is generated according to the first budget information, and the first adjustment parameter is used for adjusting the playing item information recommended to the first user in real time. For example, when the first user budget is low, expensive items may be replaced with similar inexpensive items, and so on. Through the acquisition of the budget of the first user, the technical effect of recommending a proper playing item for the first user according to the real-time situation of the first user is achieved.
Further, the obtaining output information of the training model, where the output information includes information of recommended play items, step S500 in this embodiment of the present application further includes:
step S540: obtaining second user information;
step S550: obtaining a first relationship between the first user and the second user;
step S560: and generating a second adjusting parameter according to the first relation, and adjusting the recommended playing item information according to the second adjusting parameter.
Specifically, the second user is a user following or accompanying the first user, the relationship between the first user and the second user is obtained, and the recommended item is adjusted in real time according to the first relationship. For example, when the first user and the second user are judged to be in a lover relationship, a trojan horse or a ferris wheel is recommended for the first user and the second user, and further, when the second user is identified to be a child, items such as an animal train, a bumper car and the like are recommended for the second user.
Further, in the step S300 of obtaining the interest information of the first user, the method further includes:
step S310: obtaining region information of the first user;
step S320: and updating the interest and hobbies of the first user according to the region information.
Specifically, the region information refers to certain region space information, and is a composite formed by the action of natural elements and human factors. There are three general characteristics, regional, humanistic and systematic. Different regions can form different mirrors to reflect different regional cultures. And updating the interests and hobbies of the first user according to the different regional information of the first user and the regional culture of the first user. For example, when the first user is northeast, the interest can be updated to a relative luxury outlook, and when the first user is Dai, the interest can be updated to a water preference. And according to the different regions of the first user, the interest and hobbies of the first user are corrected in real time, so that the technical effect of obtaining more accurate interest and hobbies of the user and recommending more suitable playing items for the user is achieved.
Further, the embodiment of the present application further includes:
step S810: obtaining, by the first camera, guest number information for a first item of the first play route;
step S820: judging whether the number of the tourists exceeds a first preset threshold value;
step S830: obtaining a first alternative item when the number of guests exceeds a first predetermined threshold;
step S840: replacing the first item with the first replacement item.
Specifically, first item information to be played by the first user is obtained, the number of people playing the first item is obtained, the first threshold is a number threshold obtained according to different abilities of each item bearing tourists, when the real-time number information exceeds a first preset threshold, the waiting time of the item may be too long, and the tourists may be congested, at the moment, a first alternative item is recommended to the first user, the first alternative item has certain similarity with the first item, and the first item is replaced by the first alternative item. By judging the number of the real-time items, the first user is prevented from delaying too much time to wait for playing the items, and the technical effect of recommending proper items to the first user according to real-time conditions is achieved.
Further, before inputting the predetermined playing time information and the interest information into the training model, step S400 in the embodiment of the present application further includes:
step S410: taking the preset playing time information and the interest information of the first user as a first storage unit, taking the preset playing time information and the interest information of the second user as a second storage unit, and so on, taking the preset playing time information and the interest information of the Nth user as an Nth storage unit, wherein N is a natural number greater than 1;
step S420: generating a first verification code according to the first storage unit, wherein the first verification code corresponds to the first storage unit one by one, generating a second verification code according to the second storage unit and the first verification code, and generating an Nth verification code according to the Nth storage unit and the (N-1) th verification code;
step S430: and respectively copying and storing the storage unit and the verification codes on M electronic devices, wherein M is a natural number greater than 1.
In particular, the blockchain technique, also referred to as a distributed ledger technique, is an emerging technique in which several computing devices participate in "accounting" together, and maintain a complete distributed database together. The blockchain technology has been widely used in many fields due to its characteristics of decentralization, transparency, participation of each computing device in database records, and rapid data synchronization between computing devices. Taking the preset playing time information and the interest information of the first user as a first storage unit, generating first verification codes corresponding to the first storage unit one by one according to the first storage unit, taking the preset playing time information and the interest information of the second user as a second storage unit, performing hash function calculation according to the second storage unit and the first verification codes to obtain second verification codes, and so on, and generating an Nth verification code according to the Nth storage unit and the Nth-1 verification code. Through the association of the verification code of each next storage unit and the verification code of the previous storage unit, a chain-shaped encryption mode is formed to encrypt the verification code and the storage units, so that the storage units cannot be easily tampered, the technical effect of ensuring the safety of user information and the verification codes is achieved, the neural network model obtained through the user information training can be accurately and effectively ensured to be more accurate, and the technical effect of accurately recommending playing item information is achieved.
In summary, the amusement park item recommendation method and system based on the internet provided by the embodiment of the application have the following technical effects:
1. due to the fact that the preset playing time information of the first user and the interest information of the first user are obtained according to the electronic equipment, the preset playing time and the interest information are input into the training model, the playing item information recommended to the first user through the training model is more accurate based on the characteristic that the training model continuously corrects and adjusts the playing item information, a first playing route map is generated according to the current position of the first user, and therefore the technical effects that the proper playing item is recommended to the visitor according to the interest of the visitor, the proper playing route is planned and provided for the visitor are achieved.
2. Due to the fact that the budget of the first user is judged, the technical effect that the proper playing items are recommended to the first user according to the real-time situation of the first user is achieved.
3. Due to the fact that the interest and hobbies of the first user are corrected in real time according to different regions of the first user, the technical effect that more accurate interest and hobbies of the user are obtained, and therefore more suitable playing items are recommended for the user is achieved.
Example two
Based on the same inventive concept as the internet-based amusement park item recommendation method in the foregoing embodiment, the present invention further provides an internet-based amusement park item recommendation system, as shown in fig. 2, the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first location information of a first user through the first camera;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain, by the first electronic device, predetermined play duration information of the first user;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain interest information of the first user;
a first input unit 14, where the first input unit 14 is configured to input the predetermined playing time information and the interest information into a training model, where the training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data includes: the preset playing time information, the interest information and the like and the identification information for identifying playing items;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to obtain output information of the training model, where the output information includes recommended play item information;
a first generation unit 16, the first generation unit 16 being configured to generate a first play route map based on the first location information and the recommended play item information;
a first sending unit 17, the first sending unit 17 being configured to send the first play route map to the first electronic device.
Further, the system further comprises:
a fifth obtaining unit, configured to obtain first budget information of the first user;
a second generating unit, configured to generate a first adjustment parameter according to the first budget information;
a first adjusting unit, configured to adjust the recommended play item information according to the first adjustment parameter.
Further, the system further comprises:
a sixth obtaining unit configured to obtain second user information;
a seventh obtaining unit, configured to obtain a first relationship between the first user and the second user;
and the second adjusting unit is used for generating a second adjusting parameter according to the first relation and adjusting the recommended playing item information according to the second adjusting parameter.
Further, the system further comprises:
an eighth obtaining unit, configured to obtain region information of the first user;
a ninth obtaining unit, configured to update the hobbies of the first user according to the region information.
Further, the system further comprises:
a tenth obtaining unit configured to obtain, by the first camera, guest number information of a first item of the first play route;
a first judgment unit for judging whether the number of the tourists exceeds a first preset threshold value;
an eleventh obtaining unit configured to obtain a first substitute item when the number of guests exceeds a first predetermined threshold;
a first replacement unit to replace the first item with the first replacement item.
Further, the system further comprises:
a twelfth obtaining unit, configured to use the predetermined playing time information and the interest information of the first user as a first storage unit, use the predetermined playing time information and the interest information of the second user as a second storage unit, and so on, use the predetermined playing time information and the interest information of the nth user as an nth storage unit, where N is a natural number greater than 1;
a thirteenth obtaining unit, configured to generate a first verification code according to the first storage unit, where the first verification code corresponds to the first storage unit one to one, generate a second verification code according to the second storage unit and the first verification code, and generate an nth verification code according to the nth storage unit and the nth-1 verification code;
a first saving unit, configured to copy and save the storage unit and the verification code on M electronic devices, respectively, where M is a natural number greater than 1.
Various changes and specific examples of the internet-based amusement park item recommendation method in the first embodiment of fig. 1 are also applicable to the internet-based amusement park item recommendation system in the present embodiment, and through the foregoing detailed description of the internet-based amusement park item recommendation method, those skilled in the art can clearly know the implementation method of the internet-based amusement park item recommendation system in the present embodiment, so for the sake of brevity of the description, detailed descriptions are omitted here.
Exemplary electronic device
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the internet-based amusement park item recommendation method in the foregoing embodiments, the present invention further provides an internet-based amusement park item recommendation system, on which a computer program is stored, which when executed by a processor implements the steps of any one of the foregoing internet-based amusement park item recommendation methods.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The invention provides an internet-based amusement park project recommendation method, which is applied to an amusement park system, wherein the amusement park system is in communication connection with a first camera and a first electronic device, and the method comprises the following steps: obtaining first position information of a first user through the first camera; obtaining, by the first electronic device, predetermined play duration information of the first user; obtaining interest and hobby information of the first user; inputting the preset playing time information and the interest information into a training model, wherein the training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the preset playing time information, the interest information and the like and the identification information for identifying playing items; obtaining output information of the training model, wherein the output information comprises recommended play item information; generating a first play route map according to the first location information and the recommended play item information; transmitting the first play route map to the first electronic device. The technical problem that an amusement park in the prior art cannot accurately recommend suitable amusement items for the tourists according to the hobbies and the real-time situation of the sites of the tourists is solved, and the technical effects that the suitable amusement items are recommended for the tourists according to the hobbies and the interests of the tourists, and suitable amusement routes are planned and provided for the tourists are achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. An internet-based amusement park project recommendation method is applied to an amusement park system, the amusement park system is in communication connection with a first camera and a first electronic device, and the method comprises the following steps:
obtaining first position information of a first user through the first camera;
obtaining, by the first electronic device, predetermined play duration information of the first user;
obtaining interest and hobby information of the first user;
inputting the preset playing time information and the interest information into a training model, wherein the training model is obtained by training a plurality of groups of training data, and each group of training data in the plurality of groups of training data comprises: the preset playing time information, the interest information and the like and the identification information for identifying playing items;
obtaining output information of the training model, wherein the output information comprises recommended play item information;
generating a first play route map according to the first location information and the recommended play item information;
transmitting the first play route map to the first electronic device.
2. The method of claim 1, wherein the method further comprises:
obtaining first budget information of the first user;
generating a first adjusting parameter according to the first budget information;
and adjusting the recommended playing item information according to the first adjusting parameter.
3. The method of claim 2, wherein the method further comprises:
obtaining second user information;
obtaining a first relationship between the first user and the second user;
and generating a second adjusting parameter according to the first relation, and adjusting the recommended playing item information according to the second adjusting parameter.
4. The method of claim 1, wherein the obtaining of interest information of the first user, the method further comprises:
obtaining region information of the first user;
and updating the interest and hobbies of the first user according to the region information.
5. The method of claim 1, wherein the method further comprises:
obtaining, by the first camera, guest number information for a first item of the first play route;
judging whether the number of the tourists exceeds a first preset threshold value;
obtaining a first alternative item when the number of guests exceeds a first predetermined threshold;
replacing the first item with the first replacement item.
6. The method of claim 1, wherein before inputting the predetermined play-time information and interest information into a training model, the method comprises:
taking the preset playing time information and the interest information of the first user as a first storage unit, taking the preset playing time information and the interest information of the second user as a second storage unit, and so on, taking the preset playing time information and the interest information of the Nth user as an Nth storage unit, wherein N is a natural number greater than 1;
generating a first verification code according to the first storage unit, wherein the first verification code corresponds to the first storage unit one by one, generating a second verification code according to the second storage unit and the first verification code, and generating an Nth verification code according to the Nth storage unit and the (N-1) th verification code;
and respectively copying and storing the storage unit and the verification codes on M electronic devices, wherein M is a natural number greater than 1.
7. An internet-based amusement park item recommendation system, wherein the system comprises:
a first obtaining unit, configured to obtain first location information of a first user through the first camera;
a second obtaining unit, configured to obtain, by the first electronic device, predetermined play duration information of the first user;
a third obtaining unit, configured to obtain interest information of the first user;
a first input unit, configured to input the predetermined playing time information and the interest information into a training model, where the training model is obtained through training of multiple sets of training data, and each set of training data in the multiple sets of training data includes: the preset playing time information, the interest information and the like and the identification information for identifying playing items;
a fourth obtaining unit configured to obtain output information of the training model, the output information including recommended play item information;
a first generation unit for generating a first play route map based on the first location information and the recommended play item information;
a first transmission unit for transmitting the first play route map to the first electronic device.
8. An internet-based amusement park item recommendation system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1-6 when executing the program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011014142.5A CN112148978A (en) | 2020-09-24 | 2020-09-24 | Internet-based amusement park project recommendation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011014142.5A CN112148978A (en) | 2020-09-24 | 2020-09-24 | Internet-based amusement park project recommendation method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112148978A true CN112148978A (en) | 2020-12-29 |
Family
ID=73896474
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011014142.5A Withdrawn CN112148978A (en) | 2020-09-24 | 2020-09-24 | Internet-based amusement park project recommendation method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112148978A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112950350A (en) * | 2021-02-06 | 2021-06-11 | 中国建设银行股份有限公司 | Loan product recommendation method and system based on machine learning |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109272630A (en) * | 2018-09-03 | 2019-01-25 | 穗阳软件技术有限公司 | Route recommendation system for recreation ground |
| CN110717102A (en) * | 2019-09-30 | 2020-01-21 | 成都市喜爱科技有限公司 | Method, device and server for guiding amusement of amusement park |
| CN110750737A (en) * | 2019-09-27 | 2020-02-04 | 恒大智慧科技有限公司 | Scenic spot recommendation method and device and storage medium |
| CN111191149A (en) * | 2019-11-26 | 2020-05-22 | 恒大智慧科技有限公司 | Shortest time-based travel route recommendation method and device 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 |
| CN111639979A (en) * | 2020-06-08 | 2020-09-08 | 上海商汤智能科技有限公司 | Entertainment item recommendation method and device |
-
2020
- 2020-09-24 CN CN202011014142.5A patent/CN112148978A/en not_active Withdrawn
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109272630A (en) * | 2018-09-03 | 2019-01-25 | 穗阳软件技术有限公司 | Route recommendation system for recreation ground |
| CN110750737A (en) * | 2019-09-27 | 2020-02-04 | 恒大智慧科技有限公司 | Scenic spot recommendation method and device and storage medium |
| CN110717102A (en) * | 2019-09-30 | 2020-01-21 | 成都市喜爱科技有限公司 | Method, device and server for guiding amusement of amusement park |
| CN111191149A (en) * | 2019-11-26 | 2020-05-22 | 恒大智慧科技有限公司 | Shortest time-based travel route recommendation method and device 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 |
| CN111639979A (en) * | 2020-06-08 | 2020-09-08 | 上海商汤智能科技有限公司 | Entertainment item recommendation method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112950350A (en) * | 2021-02-06 | 2021-06-11 | 中国建设银行股份有限公司 | Loan product recommendation method and system based on machine learning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| West | The future of work: Robots, AI, and automation | |
| Webb | The big nine: How the tech titans and their thinking machines could warp humanity | |
| Dinh et al. | AI and blockchain: A disruptive integration | |
| CN112329940A (en) | Personalized model training method and system combining federal learning and user portrait | |
| US20220129064A1 (en) | Methods, systems, apparatuses, and devices for facilitating modifying environments based on user preferences | |
| CN112232891B (en) | Customer matching method and device based on big data analysis | |
| CN115270001B (en) | Privacy protection recommendation method and system based on cloud collaborative learning | |
| CN110825975A (en) | Information recommendation method, device, equipment and computer readable storage medium | |
| CN112148978A (en) | Internet-based amusement park project recommendation method and system | |
| CN114492718A (en) | Flight decision generation method and device, computer equipment and storage medium | |
| CN112148758A (en) | Community diet health management method and system based on big data | |
| CN112712264A (en) | Smart community information sharing method and system | |
| López et al. | Modelling entrepreneurial attitudes in women entrepreneurs with bayesian networks | |
| CN112288342B (en) | Data processing method and system for improving multi-center cooperation quality control | |
| CN111950987A (en) | Remote education training method and system based on Internet | |
| CN112651811A (en) | Order processing method and system based on multi-source data | |
| Riechmann | Cournot or Walras? Long-run results in oligopoly games | |
| Cox | Autonomous exchanges: Human-machine autonomy in the automated media economy | |
| Widener | Populist Placemaking: Grounds for Open Government-Citizen Spatial Regulating Discourse | |
| CN110807251A (en) | Network public opinion polarization method and system integrating individual heterogeneity and dynamic dependency | |
| CN112171676B (en) | Method and device for improving bionic ability of robot | |
| KR20200093766A (en) | Platform of smart contracts for providing digital information transaction | |
| Shibberu | Introduction to deep learning: A first course in machine learning | |
| CN113032625B (en) | Video sharing method and device, computer equipment and storage medium | |
| Yaghoubi Farani et al. | The role of entrepreneurial knowledge and skills in developing digital entrepreneurial intentions in public universities in Hamedan province |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20201229 |
|
| WW01 | Invention patent application withdrawn after publication |