CN110796300A - User consumption level-based travel service recommendation system, method and terminal - Google Patents
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Abstract
The invention belongs to the technical field of computer internet, and particularly relates to a leisure travel service recommendation system, method and terminal based on user consumption level, which comprises the following steps: the information acquisition unit is used for acquiring basic information and travel information of a user; the information analysis unit is used for analyzing and predicting the consumption level of the user according to the basic information and the trip information of the user to obtain the consumption grade of the user; and the consumption recommending unit is used for recommending a leisure consumption scheme matched with the user and staying near the hotel for the user according to the consumption grade of the user. According to the method and the system, the consumption level of the user can be analyzed and predicted according to the basic information and the travel information of the user, the leisure consumption scheme near the destination is accurately recommended to the user based on the analysis and prediction result, the recommendation accuracy is improved, the user does not need to repeatedly search and compare in complicated information or each platform, and the time for the user to inquire and make a decision is saved.
Description
Technical Field
The invention belongs to the technical field of computer internet, and particularly relates to a leisure travel service recommendation system, method and terminal based on user consumption level.
Background
With the rapid progress of modern science and technology and the rapid development of the internet, various services based on the internet appear in the life of people one after another, so that convenience is provided for the life of people, and the quality of life of people is improved, such as WeChat, carrying, where and the like.
Various existing travel service platforms recommend leisure travel service schemes related to destinations for users only according to geographic positions or travel orders of mobile phones. For example, three operators only have the owner consumption information and the geographical location information of the respective operation number sections, so that leisure service recommendation is performed according to the geographical location information; if the user takes a journey and goes to the place, the leisure service recommendation is only carried out according to the travel order.
The existing trip service platform recommends a leisure service scheme for a user, the reference analysis information of the leisure service scheme is limited, and the consumption capability of the user is not combined, so the recommended leisure service scheme is inaccurate and does not accord with the consumption level of the user and the potential requirements of the user.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a leisure travel service recommendation system, method and terminal based on user consumption level, which can analyze and predict the user consumption level according to the basic information and travel information of the user, accurately recommend a leisure consumption scheme near a destination for the user based on the analysis and prediction result, improve the recommendation accuracy, avoid repeated searching and comparison of the user in complicated information or in each platform, save the time for user query and decision making, enable the user to find high-quality service meeting the self-demand in a shorter time, improve the transaction rate of the recommendation scheme and enable the high-quality service to be presented to more accurate clients.
In a first aspect, the present invention provides a system for recommending leisure travel service based on user consumption level, comprising:
the information acquisition unit is used for acquiring basic information and travel information of a user;
the information analysis unit is used for analyzing and predicting the consumption level of the user according to the basic information and the trip information of the user to obtain the consumption grade of the user;
and the consumption recommending unit is used for recommending a leisure consumption scheme matched with the user and staying near the hotel for the user according to the consumption grade of the user.
Preferably, the basic information includes a name, an age, a contact address, a work unit, and a work title of the user;
the travel information includes flight information, check-in to the hotel, check-in duration and itinerary arrangement.
Preferably, the information analysis unit is specifically configured to:
analyzing the work units of the users to obtain the industry income level of the industry to which the users belong;
analyzing the work positions of the users to obtain the position income level of the positions of the users;
analyzing the age of the user to obtain the age stage of the user;
analyzing the hotel check-in of the user to obtain the hotel grade required by the hotel;
and comprehensively analyzing the consumption level of the user according to the industry income level, the position income level, the age stage and the hotel grade to obtain the consumption grade of the user.
Preferably, the consumption profile of the user comprises low, medium, high and high.
Preferably, the consumption recommending unit is specifically configured to:
obtaining position information of the hotel according to the hotel of the user;
searching according to the position information of the hotel to obtain M leisure consumption schemes within a preset range;
according to the consumption grade of the user, N leisure consumption schemes matched with the consumption level of the user are screened out from the M leisure consumption schemes;
according to the consumption categories of the N leisure consumption schemes and the distance between the consumption place of each leisure consumption scheme and the hotel, Q leisure consumption schemes of different consumption categories are screened out;
the Q casual consumption scenarios are recommended to the user.
Preferably, the consumption categories of the casual consumption scheme include, but are not limited to, delicacies, fitness sports, movie shows, shopping, and tourism.
Preferably, each of the casual consumption scenarios includes, but is not limited to, a merchant address, a merchant contact, a consumption category, a consumption amount, a business hour, an environmental photo, and an item description.
Preferably, the system for recommending leisure travel service based on user consumption level further comprises a service fee obtaining unit, wherein the service fee obtaining unit is used for calculating a platform service fee according to the platform profit rule and the payment amount of the user, and extracting the platform service fee from the payment amount paid to the merchant by the user.
In a second aspect, the present invention provides a method for recommending a leisure travel service based on a user consumption level, which is suitable for the system for recommending a leisure travel service based on a user consumption level in the first aspect, and comprises the following steps:
acquiring basic information and travel information of a user;
analyzing and predicting the consumption level of the user according to the basic information and the travel information of the user to obtain the consumption grade of the user;
and recommending a leisure consumption scheme matched with the user and entering the place near the hotel for the user according to the consumption grade of the user.
In a third aspect, the present invention provides a terminal comprising a processor and a memory, the processor and the memory being connected to each other, wherein the memory is configured to store a computer program, the computer program comprising program instructions, and the processor is configured to invoke the program instructions to execute the method according to the second aspect.
According to the technical scheme, the consumption level of the user can be analyzed and predicted according to the basic information and the travel information of the user, the leisure consumption scheme near the destination is accurately recommended for the user based on the analysis and prediction result, the recommendation accuracy is improved, the user does not need to repeatedly search and compare in complicated information or each platform, the time for the user to inquire and make a decision is saved, the user can find high-quality service meeting the self requirement in a shorter time, the transaction rate of the recommendation scheme is improved, and the high-quality service is presented to more accurate clients.
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In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a schematic structural diagram of a leisure travel service recommendation system based on user consumption level in this embodiment;
fig. 2 is a flowchart of a method for recommending a leisure travel service based on a user consumption level in this embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
In particular implementations, the terminals described in embodiments of the invention include, but are not limited to, other portable devices such as mobile phones, laptop computers, or tablet computers having touch sensitive surfaces (e.g., touch screen displays and/or touch pads). It should also be understood that in some embodiments, the device is not a portable communication device, but is a desktop computer having a touch-sensitive surface (e.g., a touch screen display and/or touchpad).
The first embodiment is as follows:
the embodiment provides a leisure travel service recommendation system based on user consumption level, as shown in fig. 1, including:
the information acquisition unit is used for acquiring basic information and travel information of a user;
the information analysis unit is used for analyzing and predicting the consumption level of the user according to the basic information and the trip information of the user to obtain the consumption grade of the user;
and the consumption recommending unit is used for recommending a leisure consumption scheme matched with the user and staying near the hotel for the user according to the consumption grade of the user.
The system of the embodiment is mainly applied to users who go out for participating in business meetings, training, learning and the like, the users and the meeting organization party need to be users of the platform before the platform of the system is applied, the platform acquires basic information and trip information of the users through active submission of the meeting organization party and the users, and the consumption capacity of the users is analyzed based on the basic information and the trip information, so that accurate leisure consumption scheme recommendation is carried out according to the consumption capacity of the users.
Before the conference is taken as an example, the conference organizer determines the relevant information (such as holding places, scheduling and the like) of the conference, and uploads the relevant information of the conference to the platform 15-30 days in advance.
The conference organizer sends an invitation to the user by adopting a webpage registration method, after the user fills the invitation and feeds the invitation back to the conference organizer, the conference organizer collects basic information of the user according to the invitation, wherein the basic information comprises the name, age, contact information, work units, work duties and the like of the user. In order to facilitate the pick-up and the check-in of the hotel, the meeting organization party can count the travel information of the user in advance, wherein the travel information comprises flight information, check-in of the hotel, check-in duration, travel arrangement and the like. And the conference organization side uploads the sorted basic information and the trip information of the users to the platform, so that the platform acquires the basic information and the trip information of each user participating in the conference.
After the basic information and the travel information of the user are acquired, the consumption capacity of the user is analyzed, and the method specifically comprises the following steps:
analyzing the work units of the users to obtain the industry income level of the industry to which the users belong;
analyzing the work positions of the users to obtain the position income level of the positions of the users;
analyzing the age of the user to obtain the age stage of the user;
analyzing the hotel check-in of the user to obtain the hotel grade required by the hotel;
and comprehensively analyzing the consumption level of the user according to the industry income level, the position income level, the age stage and the hotel grade to obtain the consumption grade of the user.
For example, Mr. Memo will go to the XxHotel in Yuzhongzhongwan to participate in a business meeting, and the meeting organization uploads the basic information and the travel information of Mr. Memo to the platform. Mr. 31 years old, the work unit is the XX architectural design institute, the job position is the heating and ventilation designer, the flight information is 2019.09.16 airplane arrival Chengdu in the afternoon, after attending a three-day conference, the pilot leaves 2019.09.20 airplane in the morning at nine am, and the hotel of living is the XX hotel of Longzhong mountain road in Chengdu Yuzhong.
According to the work unit of Zhang Mr: and the related information stored in the database is inquired by the platform of the XX building design institute, so that the industry income level of the building design industry is high. According to the job position of Mr. Zhang: the level of income of the position obtained by the heating and ventilation designer is medium. Mr. Zhang is young according to its age of 31 years. According to the hotel stay: and (5) adopting the X hotel to obtain the hotel which is an economical and applicable hotel and is medium. And then comprehensively analyzing the consumption grade of Mr. Zhang according to the high income level of the industry, the medium income level of positions, the young in the age stage, the medium grade of hotels and the like. In this embodiment, the consumption levels of the users include low level, medium level, and high level.
The consumption grade of Mr. Zhang is moderate through comprehensive analysis of all aspects of Mr. Zhang. In this embodiment, after obtaining the consumption grade of the user, recommending a consumption scheme to the user specifically includes:
obtaining position information of the hotel according to the hotel of the user;
searching according to the position information of the hotel to obtain M leisure consumption schemes within a preset range;
according to the consumption grade of the user, N leisure consumption schemes matched with the consumption level of the user are screened out from the M leisure consumption schemes;
according to the consumption categories of the N leisure consumption schemes and the distance between the consumption place of each leisure consumption scheme and the hotel, Q leisure consumption schemes of different consumption categories are screened out;
the Q casual consumption scenarios are recommended to the user.
The leisure consumption scheme of the embodiment relates to various aspects of life and different target groups (leaders, colleagues, old people, lovers and children), and thus the consumption categories of the leisure consumption scheme include various categories of food, body-building sports, movie shows, shopping (the shopping includes various commodities such as duty-free commodities, local specials and the like), tourism and the like. Each casual consumption scheme comprises the contents of a merchant address, a merchant contact, a consumption category, a consumption amount, business hours, an environment photo, item description, delivery and the like.
For example, according to the age of the Mr. Zhang user and the arrangement of the meeting itinerary, it is predicted that Mr. Zhang has a need to buy the local feature hand-gift for leaders, colleagues, elders, lovers and children, but does not have enough time to purchase, so the embodiment can recommend the local feature hand-gift scheme for Mr. Zhang.
The hotel which mr. lives in is the XX hotel of the Zhongguan mountain road in Chengdu Yu, the platform searches in the database, and 1251 local characteristic companions scheme in the area where the XX hotel is located is searched. From the 1251 local feature hand-held programs, 654 local feature hand-held programs of moderate consumption level were screened out according to the Mr. Zhang with medium consumption level. The 654 local feature hand and hand solutions are classified according to the consumption categories, and are divided into five categories (such as a doll category, a painting category, a living article category, a study article category and an electronic article category), the distance between the consumption place of each scheme and the x hotel is calculated, and one local feature hand and hand solution which is close to the hotel and provides delivery service is screened from the five categories, so that five local feature hand and hand solutions (five categories, one scheme each) most suitable for Zhang-Mr. are obtained.
In this embodiment, after the user arrives at a hotel, the mobile phone signs in, queries activity information, participates in a lottery, and the like on the platform, and when the user exchanges information with the platform through the mobile phone, the platform recommends the user. For example, after reaching a hotel, mr. Zhang opens a platform APP or an applet on a mobile phone, looks up the specific arrangement of the meeting in the next three days, and recommends the five obtained accurate local feature companions schemes to mr. Zhang by the platform so as to provide the mr. Zhang with reference and decision.
The system of this embodiment further includes a service fee obtaining unit, where the service fee obtaining unit is configured to calculate a platform technical service fee according to the platform profit rule and the payment amount of the user, and obtain the platform technical service fee (the service fee, i.e., the profit obtained by the platform for performing technical service and data service for the user) from the payment amount paid by the user to the merchant.
The platform profit rule of this embodiment is jointly achieved by the platform and the merchant, for example, the platform profit rule is: and 5% of the payment amount is the service fee, namely, the platform draws 5% of the payment amount paid to the merchant by the user to be used as the service fee. Mr. selected the xx doll gift-accompanied scheme from the five proposed schemes, purchased a 250-yuan doll from the xx doll gift-accompanied scheme, and calculated according to 5% of the platform profit rule to obtain 250 × 5% — 12.5, so that the platform draws 12.5 yuan from 250 yuan as the platform technical service fee.
In summary, according to the embodiment, the consumption level of the user can be analyzed and predicted according to the basic information and the travel information of the user, and the leisure consumption scheme near the destination is accurately recommended for the user based on the analysis and prediction result, so that the recommendation accuracy is improved, the user does not need to repeatedly search and compare in complicated information or each platform, the time for the user to query and make a decision is saved, the user can find the high-quality service meeting the self requirement in a shorter time, the transaction rate of the recommendation scheme is improved, and the high-quality service is presented to more accurate clients.
Example two:
the embodiment provides a leisure travel service recommendation method based on user consumption level, which is suitable for the leisure travel service recommendation system based on user consumption level in the first embodiment, as shown in fig. 2, and includes the following steps:
s1, acquiring basic information and travel information of the user;
s2, analyzing and predicting the consumption level of the user according to the basic information and the travel information of the user to obtain the consumption grade of the user;
and S3, recommending a leisure consumption scheme matched with the user and staying near the hotel for the user according to the consumption grade of the user.
The method of the embodiment is mainly applied to users who go out including but not limited to participating in business conferences, training, learning and the like, users and conference organizers need to be users of the platform before the platform of the embodiment is applied, the platform acquires basic information and trip information of the users through active submission of the conference organizers and the users, and the consumption capacity of the users is analyzed based on the basic information and the trip information, so that accurate leisure consumption scheme recommendation is performed according to the consumption capacity of the users.
Before the conference is taken as an example, the conference organizer determines the relevant information (such as holding places, scheduling and the like) of the conference, and uploads the relevant information of the conference to the platform 15-30 days in advance.
The conference organizer sends an invitation to the user by adopting a webpage registration method, after the user fills the invitation and feeds the invitation back to the conference organizer, the conference organizer collects basic information of the user according to the invitation, wherein the basic information comprises the name, age, contact information, work units, work duties and the like of the user. In order to facilitate the pick-up and the check-in of the hotel, the meeting organization party can count the travel information of the user in advance, wherein the travel information comprises flight information, check-in of the hotel, check-in duration, travel arrangement and the like. And the conference organization side uploads the sorted basic information and the trip information of the users to the platform, so that the platform acquires the basic information and the trip information of each user participating in the conference.
After the basic information and the travel information of the user are acquired, the consumption capacity of the user is analyzed, and the method specifically comprises the following steps:
analyzing the work units of the users to obtain the industry income level of the industry to which the users belong;
analyzing the work positions of the users to obtain the position income level of the positions of the users;
analyzing the age of the user to obtain the age stage of the user;
analyzing the hotel check-in of the user to obtain the hotel grade required by the hotel;
and comprehensively analyzing the consumption level of the user according to the industry income level, the position income level, the age stage and the hotel grade to obtain the consumption grade of the user.
For example, Mr. Memo will go to the XxHotel in Yuzhongzhongwan to participate in a business meeting, and the meeting organization uploads the basic information and the travel information of Mr. Memo to the platform. Mr. 31 years old, the work unit is the XX architectural design institute, the job position is the heating and ventilation designer, the flight information is 2019.09.16 airplane arrival Chengdu in the afternoon, after attending a three-day conference, the pilot leaves 2019.09.20 airplane in the morning at nine am, and the hotel of living is the XX hotel of Longzhong mountain road in Chengdu Yuzhong.
According to the work unit of Zhang Mr: and the related information stored in the database is inquired by the platform of the XX building design institute, so that the industry income level of the building design industry is high. According to the job position of Mr. Zhang: the level of income of the position obtained by the heating and ventilation designer is medium. Mr. Zhang is young according to its age of 31 years. According to the hotel stay: and (5) adopting the X hotel to obtain the hotel which is an economical and applicable hotel and is medium. And then comprehensively analyzing the consumption grade of Mr. Zhang according to the high income level of the industry, the medium income level of positions, the young in the age stage, the medium grade of hotels and the like. In this embodiment, the consumption levels of the users include low level, medium level, and high level.
The consumption grade of Mr. Zhang is moderate through comprehensive analysis of all aspects of Mr. Zhang. In this embodiment, after obtaining the consumption grade of the user, recommending a consumption scheme to the user specifically includes:
obtaining position information of the hotel according to the hotel of the user;
searching according to the position information of the hotel to obtain M leisure consumption schemes within a preset range;
according to the consumption grade of the user, N leisure consumption schemes matched with the consumption level of the user are screened out from the M leisure consumption schemes;
according to the consumption categories of the N leisure consumption schemes and the distance between the consumption place of each leisure consumption scheme and the hotel, Q leisure consumption schemes of different consumption categories are screened out;
the Q casual consumption scenarios are recommended to the user.
The leisure consumption scheme of the embodiment relates to various aspects of life, and therefore, the consumption categories of the leisure consumption scheme include various categories such as food, fitness, movie performance, shopping and tourism. Each leisure consumption scheme comprises contents such as merchant addresses, merchant contact ways, consumption categories, consumption amount, business hours, environment photos, item descriptions and the like.
For example, the hotel which mr. lives in is the xxx hotel of the dragon mountain road in the central Yuzhongzhong, the platform searches in the database, and 1251 leisure consumption schemes in the area where the xxx hotel is located are searched. From these 1251 casual consumption programs, 654 casual consumption programs of moderate consumption level were screened out according to the consumption grade of mr. zhang being moderate. The 654 leisure consumption schemes are classified according to consumption categories and divided into five categories, the distance between the consumption place of each scheme and the XX hotel is calculated, and the leisure consumption scheme closest to the hotel is screened out from the five categories, so that the five leisure consumption schemes most suitable for Zhang Mr. people are obtained.
In this embodiment, after the user arrives at a hotel, the mobile phone signs in, queries activity information, participates in a lottery, and the like on the platform, and when the user exchanges information with the platform through the mobile phone, the platform recommends the user. For example, after reaching a hotel, mr. zhang opens a platform APP or applet on a mobile phone, looks up the specific arrangement of the meeting in the next three days, and recommends the five accurate leisure consumption schemes obtained above to mr. zhang by the platform so as to provide reference for mr. zhang.
The method of this embodiment further includes a step of obtaining a service fee, specifically: and calculating a platform technical service fee according to the platform profit rule and the payment amount of the user, and obtaining the platform technical service fee (the service fee, namely the profit obtained by the platform for carrying out technical service and data service on the user) from the payment amount paid to the merchant by the user.
The platform profit rule of this embodiment is jointly achieved by the platform and the merchant, for example, the platform profit rule is: and 5% of the payment amount is the service fee, namely, the platform draws 5% of the payment amount paid to the merchant by the user to be used as the service fee. Mr. selected the xx chaffy dish restaurant from the five recommended schemes, purchased a 250 yuan chaffy dish package of xx chaffy dish, calculated according to 5% of platform profit rule, and got 250 × 5% — 12.5, so the platform extracted 12.5 yuan from 250 yuan as platform service fee.
In summary, according to the embodiment, the consumption level of the user can be analyzed and predicted according to the basic information and the travel information of the user, and the leisure consumption scheme near the destination is accurately recommended for the user based on the analysis and prediction result, so that the recommendation accuracy is improved, the user does not need to repeatedly search and compare in complicated information or each platform, the time for the user to query and make a decision is saved, the user can find the high-quality service meeting the self requirement in a shorter time, the transaction rate of the recommendation scheme is improved, and the high-quality service is presented to more accurate clients.
Example three:
the present embodiment provides a terminal, comprising a processor and a memory, wherein the processor and the memory are connected to each other, wherein the memory is used for storing a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the method according to the second embodiment. It should be understood that in the embodiments of the present invention, the Processor may be a Central Processing Unit (CPU), and the Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and provides instructions and data to the processor. The portion of memory may also include non-volatile random access memory. For example, the memory may also store device type information.
In a specific implementation, the processor described in the embodiment of the present invention may execute the method described in the second embodiment, which is not described herein again.
In summary, according to the embodiment, the consumption level of the user can be analyzed and predicted according to the basic information and the travel information of the user, and the leisure consumption scheme near the destination is accurately recommended for the user based on the analysis and prediction result, so that the recommendation accuracy is improved, the user does not need to repeatedly search and compare in complicated information or each platform, the time for the user to query and make a decision is saved, the user can find the high-quality service meeting the self requirement in a shorter time, the transaction rate of the recommendation scheme is improved, and the high-quality service is presented to more accurate clients.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in this application, it should be understood that the disclosed method, system, and apparatus may be implemented in other ways. For example, the division of the steps is only one logical function division, and there may be other division ways in actual implementation, for example, multiple steps may be combined into one step, or some features may be omitted, or one step may be split into multiple steps.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. A leisure travel service recommendation system based on user consumption level, comprising:
the information acquisition unit is used for acquiring basic information and travel information of a user;
the information analysis unit is used for analyzing and predicting the consumption level of the user according to the basic information and the trip information of the user to obtain the consumption grade of the user;
and the consumption recommending unit is used for recommending a leisure consumption scheme matched with the user and staying near the hotel for the user according to the consumption grade of the user.
2. The system of claim 1, wherein the basic information comprises a user's name, age, contact information, work unit and job title;
the travel information includes flight information, check-in to the hotel, check-in duration and itinerary arrangement.
3. The system of claim 2, wherein the information analysis unit is specifically configured to:
analyzing the work units of the users to obtain the industry income level of the industry to which the users belong;
analyzing the work positions of the users to obtain the position income level of the positions of the users;
analyzing the age of the user to obtain the age stage of the user;
analyzing the hotel check-in of the user to obtain the hotel grade required by the hotel;
and comprehensively analyzing the consumption level of the user according to the industry income level, the position income level, the age stage and the hotel grade to obtain the consumption grade of the user.
4. The system of claim 3, wherein the consumption levels of the users comprise low, medium and low, medium and high.
5. The system of claim 4, wherein the consumption recommending unit is specifically configured to:
obtaining position information of the hotel according to the hotel of the user;
searching according to the position information of the hotel to obtain M leisure consumption schemes within a preset range;
according to the consumption grade of the user, N leisure consumption schemes matched with the consumption level of the user are screened out from the M leisure consumption schemes;
according to the consumption categories of the N leisure consumption schemes and the distance between the consumption place of each leisure consumption scheme and the hotel, Q leisure consumption schemes of different consumption categories are screened out;
the Q casual consumption scenarios are recommended to the user.
6. The system of claim 5, wherein the consumption categories of the casual consumption scheme include, but are not limited to, delicacies, fitness sports, movie shows, shopping, and tourism.
7. The user consumption level-based leisure travel service recommendation system according to claim 6, wherein each leisure consumption scheme comprises but is not limited to merchant address, merchant contact, consumption category, consumption amount, business hours, environment photo and item description.
8. The system of claim 7, further comprising a service fee obtaining unit, wherein the service fee obtaining unit is configured to calculate a platform service fee according to the platform profit rule and the payment amount of the user, and extract the platform service fee from the payment amount paid by the user to the merchant.
9. A leisure travel service recommendation method based on user consumption level, which is suitable for the leisure travel service recommendation system based on user consumption level as claimed in any one of claims 1-8, and comprises the following steps:
acquiring basic information and travel information of a user;
analyzing and predicting the consumption level of the user according to the basic information and the travel information of the user to obtain the consumption grade of the user;
and recommending a leisure consumption scheme matched with the user and entering the place near the hotel for the user according to the consumption grade of the user.
10. A terminal comprising a processor and a memory, the processor and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, characterized in that the processor is configured to invoke the program instructions to perform the method of claim 9.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911013418.5A CN110796300A (en) | 2019-10-23 | 2019-10-23 | User consumption level-based travel service recommendation system, method and terminal |
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| CN201911013418.5A CN110796300A (en) | 2019-10-23 | 2019-10-23 | User consumption level-based travel service recommendation system, method and terminal |
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| CN110796300A true CN110796300A (en) | 2020-02-14 |
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| CN201911013418.5A Pending CN110796300A (en) | 2019-10-23 | 2019-10-23 | User consumption level-based travel service recommendation system, method and terminal |
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| CN113781139A (en) * | 2020-10-19 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Item recommendation method, item recommendation device, equipment and medium |
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